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Specifically, focusing on the processing differences between early \(before the age of 7\) and late \(after the age of 7\) bilinguals. Code switching is a process of bilingual speech that involves alternating from one language to another within a single utterance or conversation. This process rapidly integrates syntactic and semantic information while engaging cognitive control regions to manage interference of information from the non-target language. fMRI and ERP measures are recorded to measure neural responses for semantic integration and syntactic reanalysis that occur during code-switching. We predict a difference in activation patterns between early and late bilinguals in the fMRI results, as well as higher N400 scores and slower reaction times for late bilinguals in the ERP results. This study aims to demonstrate the cognitive cost that is required to integrate information across two languages based on L2 age of acquisition \(AoA\). ) /Pg 10 0 R /K [6] >> endobj 110 0 obj << /Type /StructElem /S /H1 /P 86 0 R /T (Abstract ) /E (Abstract ) /Pg 10 0 R /K [7] >> endobj 111 0 obj << /Type /StructElem /S /H1 /P 86 0 R /T (Early vs. Late Bilingual Neural Responses to Unexpected Code-Switching ) /E (Early vs. Late Bilingual Neural Responses to Unexpected Code-Switching ) /Pg 10 0 R /K [8] >> endobj 112 0 obj << /Type /StructElem /S /P /P 87 0 R /E (2 ) /Pg 11 0 R /K [0] >> endobj 113 0 obj << /Type /StructElem /S /H1 /P 87 0 R /T (Bilingual individuals commonly alternate between two languages within a single ) /E (Bilingual individuals commonly alternate between two languages within a single ) /Pg 11 0 R /K [1] >> endobj 114 0 obj << /Type /StructElem /S /H1 /P 87 0 R /T (utterance or conversation. This is known as code switching, and it occurs in many contexts and can often have communicative or emotional functions \(Heredia & Altarriba, 2001\). Many communities have functional and grammatical constraints that govern code-switching but there are also neurological implications \(Heredia & Altarriba, 2001\). Code-switching relies on multiple brain networks and their ability to interact, analyze, and reanalyze languages. During code-switching the brain must suppress the non-target language, while simultaneously selecting the correct lexical item from the target language in order to integrate this information \(Abutalebi & Green, 2016\). Neuroimaging work consistently identifies regions such as the left inferior frontal gyrus \(LIFG\), anterior cingulate cortex \(ACC\), and dorsolateral prefrontal cortex \(DLPFC\) as central to this process. These structures are just a few discussed by Abutalebi and Green \(2016\) in a review of bilingual neural adaptation and reserve. The LIFG supports syntactic processing and cognitive control, as well as overriding automatic processing \(Abutalebi & Green, 2016\). The ACC monitors conflict between competing representations and the DLPFC contributes to working-memory maintenance and suppression of the non-target language \(Abutalebi & Green, 2016\). A substantial amount of research suggests that the age of acquisition \(AoA\) affects bilingual language processing. A study by Webber-fox & Neville \(1996\) examined L2 AoA and the sensitivity to syntactic and semantic processing. They found that syntactic processing is highly sensitive to L2 AoA and that semantic processing was not sensitive to L2 ) /E (utterance or conversation. This is known as code switching, and it occurs in many contexts and can often have communicative or emotional functions \(Heredia & Altarriba, 2001\). Many communities have functional and grammatical constraints that govern code-switching but there are also neurological implications \(Heredia & Altarriba, 2001\). Code-switching relies on multiple brain networks and their ability to interact, analyze, and reanalyze languages. During code-switching the brain must suppress the non-target language, while simultaneously selecting the correct lexical item from the target language in order to integrate this information \(Abutalebi & Green, 2016\). Neuroimaging work consistently identifies regions such as the left inferior frontal gyrus \(LIFG\), anterior cingulate cortex \(ACC\), and dorsolateral prefrontal cortex \(DLPFC\) as central to this process. These structures are just a few discussed by Abutalebi and Green \(2016\) in a review of bilingual neural adaptation and reserve. The LIFG supports syntactic processing and cognitive control, as well as overriding automatic processing \(Abutalebi & Green, 2016\). The ACC monitors conflict between competing representations and the DLPFC contributes to working-memory maintenance and suppression of the non-target language \(Abutalebi & Green, 2016\). A substantial amount of research suggests that the age of acquisition \(AoA\) affects bilingual language processing. A study by Webber-fox & Neville \(1996\) examined L2 AoA and the sensitivity to syntactic and semantic processing. They found that syntactic processing is highly sensitive to L2 AoA and that semantic processing was not sensitive to L2 ) /Pg 11 0 R /K [2] >> endobj 115 0 obj << /Type /StructElem /S /H1 /P 87 0 R /T (1. Introduction 1.1 Synthesis of Current Literature ) /E (1. Introduction 1.1 Synthesis of Current Literature ) /Pg 11 0 R /K [3] >> endobj 116 0 obj << /Type /StructElem /S /P /P 88 0 R /E (3 ) /Pg 12 0 R /K [0] >> endobj 117 0 obj << /Type /StructElem /S /H1 /P 88 0 R /T (AoA. These results suggest that the processes involved in code-switching, including syntactic reanalysis and conflict monitoring, may differ between early and late bilinguals. ) /E (AoA. These results suggest that the processes involved in code-switching, including syntactic reanalysis and conflict monitoring, may differ between early and late bilinguals. ) /Pg 12 0 R /K [1] >> endobj 118 0 obj << /Type /StructElem /S /H1 /P 88 0 R /T (Neuroimaging studies further reveal that early bilinguals develop a more integrated and ) /E (Neuroimaging studies further reveal that early bilinguals develop a more integrated and ) /Pg 12 0 R /K [2] >> endobj 119 0 obj << /Type /StructElem /S /H1 /P 88 0 R /T (distributed language network than late bilinguals. The age of bilingual exposure systematically shapes how the brain supports language and how it responds to code-switching. Early-exposed bilinguals recruit left-hemisphere perisylvian regions that are associated with language as well as right-hemisphere homologues, resulting in a more distributed and integrated language network \(Jasinska & Petitto, 2013; Perani et al., 2003\). Compared to monolinguals, bilinguals typically recruit additional control-related regions such as the ACC and prefrontal cortex reflecting the constant need to manage two active language systems \(Jasinska & Petitto, 2013\). Early bilinguals show more integrated and automatic neural responses, resembling a unified language network, whereas late bilinguals exhibit more distributed and effortful activation patterns, relying on executive-control regions when switching or processing their weaker language \(Jasinska & Petitto, 2013\). A study by Gullifer et al. \(2018\) examined resting-state connectivity and found that early bilinguals exhibit stronger interhemispheric frontal connectivity that supports fluent switching and efficient conflict resolution, whereas late bilinguals show heightened reliance on frontal control regions during conflict \(Gullifer et al., 2018\). The study by Gullifer et al. \(2018\) provides strong evidence for the findings of Jasinska & Petitto \(2013\). ) /E (distributed language network than late bilinguals. The age of bilingual exposure systematically shapes how the brain supports language and how it responds to code-switching. Early-exposed bilinguals recruit left-hemisphere perisylvian regions that are associated with language as well as right-hemisphere homologues, resulting in a more distributed and integrated language network \(Jasinska & Petitto, 2013; Perani et al., 2003\). Compared to monolinguals, bilinguals typically recruit additional control-related regions such as the ACC and prefrontal cortex reflecting the constant need to manage two active language systems \(Jasinska & Petitto, 2013\). Early bilinguals show more integrated and automatic neural responses, resembling a unified language network, whereas late bilinguals exhibit more distributed and effortful activation patterns, relying on executive-control regions when switching or processing their weaker language \(Jasinska & Petitto, 2013\). A study by Gullifer et al. \(2018\) examined resting-state connectivity and found that early bilinguals exhibit stronger interhemispheric frontal connectivity that supports fluent switching and efficient conflict resolution, whereas late bilinguals show heightened reliance on frontal control regions during conflict \(Gullifer et al., 2018\). The study by Gullifer et al. \(2018\) provides strong evidence for the findings of Jasinska & Petitto \(2013\). ) /Pg 12 0 R /K [3] >> endobj 120 0 obj << /Type /StructElem /S /H1 /P 88 0 R /T (Research comparing gray matter volume \(GMV\) in bilinguals and monolinguals reveals a ) /E (Research comparing gray matter volume \(GMV\) in bilinguals and monolinguals reveals a ) /Pg 12 0 R /K [4] >> endobj 121 0 obj << /Type /StructElem /S /H1 /P 88 0 R /T (complex pattern of experience-dependent structural differences. Many studies have found that early bilingual adults show increased GMV in brain regions associated with language and executive control. Schug et al. \(2022\) extended this work to children and found that early bilingual children show greater GMV in bilateral frontal regions \(the right inferior frontal cortex ) /E (complex pattern of experience-dependent structural differences. Many studies have found that early bilingual adults show increased GMV in brain regions associated with language and executive control. Schug et al. \(2022\) extended this work to children and found that early bilingual children show greater GMV in bilateral frontal regions \(the right inferior frontal cortex ) /Pg 12 0 R /K [5] >> endobj 122 0 obj << /Type /StructElem /S /P /P 89 0 R /E (4 ) /Pg 13 0 R /K [0] >> endobj 123 0 obj << /Type /StructElem /S /H1 /P 89 0 R /T (and the right superior parietal lobule\) than monolinguals. Interestingly, they found reduced GMV in the left-hemisphere supramarginal and angular gyrus. They also found differences in patterns between GMV in adults and children. They found that certain structural differences were more pronounced in children than adults, indicating that bilingual experience may shape the developing brain differently across childhood and adulthood \(Schug et al., 2022\). ) /E (and the right superior parietal lobule\) than monolinguals. Interestingly, they found reduced GMV in the left-hemisphere supramarginal and angular gyrus. They also found differences in patterns between GMV in adults and children. They found that certain structural differences were more pronounced in children than adults, indicating that bilingual experience may shape the developing brain differently across childhood and adulthood \(Schug et al., 2022\). ) /Pg 13 0 R /K [1] >> endobj 124 0 obj << /Type /StructElem /S /H1 /P 89 0 R /T (Research on neural responses to code-switching shows two major theoretical ) /E (Research on neural responses to code-switching shows two major theoretical ) /Pg 13 0 R /K [2] >> endobj 125 0 obj << /Type /StructElem /S /H1 /P 89 0 R /T (interpretations. Together, the two interpretations provide a framework for understanding how early and late bilinguals may differ in their neural responses to unexpected switches. Some studies argue that processing costs associated with code-switching reflect prediction error rather than a code-switching error. Yacovone et al. \(2021\) tested this theory using an EEG paradigm storytime task in which English-Spanish bilinguals listened to stories with sentences containing either code-switches or other unexpected linguistic material across four conditions \(strong-fit English and Spanish and weak-fit English and Spanish\). They found a non-additive N400 for unpredictable words, an LPC reflecting post-lexical recognition, and sustained negativities for weak-fit words regardless of language. They concluded that bilinguals draw on a unified linguistic system and that costs arise from unexpected linguistic violations not specific code-switching costs \(Yacovone et al., 2021\). ) /E (interpretations. Together, the two interpretations provide a framework for understanding how early and late bilinguals may differ in their neural responses to unexpected switches. Some studies argue that processing costs associated with code-switching reflect prediction error rather than a code-switching error. Yacovone et al. \(2021\) tested this theory using an EEG paradigm storytime task in which English-Spanish bilinguals listened to stories with sentences containing either code-switches or other unexpected linguistic material across four conditions \(strong-fit English and Spanish and weak-fit English and Spanish\). They found a non-additive N400 for unpredictable words, an LPC reflecting post-lexical recognition, and sustained negativities for weak-fit words regardless of language. They concluded that bilinguals draw on a unified linguistic system and that costs arise from unexpected linguistic violations not specific code-switching costs \(Yacovone et al., 2021\). ) /Pg 13 0 R /K [3] >> endobj 126 0 obj << /Type /StructElem /S /H1 /P 89 0 R /T (In contrast, other ERP studies demonstrate that code-switching can elicit unique neural ) /E (In contrast, other ERP studies demonstrate that code-switching can elicit unique neural ) /Pg 13 0 R /K [4] >> endobj 127 0 obj << /Type /StructElem /S /H1 /P 89 0 R /T (costs that extend beyond general prediction errors. Ng et al. \(2014\) looked at code-switching between verbs and nouns either early or late in a sentence. They found that the switched words elicited larger early left anterior negativity \(LAN\) and larger late positive component \(LPC\) amplitudes. Additionally, they found that nouns produce larger switching costs than verbs, suggesting higher syntactic and integrative demands. Similarly, Chauncey et al. \(2008\) and ) /E (costs that extend beyond general prediction errors. Ng et al. \(2014\) looked at code-switching between verbs and nouns either early or late in a sentence. They found that the switched words elicited larger early left anterior negativity \(LAN\) and larger late positive component \(LPC\) amplitudes. Additionally, they found that nouns produce larger switching costs than verbs, suggesting higher syntactic and integrative demands. Similarly, Chauncey et al. \(2008\) and ) /Pg 13 0 R /K [5] >> endobj 128 0 obj << /Type /StructElem /S /H1 /P 90 0 R /T (The neural basis of bilingual processing is a rather well-studied field, however, several ) /E (The neural basis of bilingual processing is a rather well-studied field, however, several ) /Pg 14 0 R /K [0] >> endobj 129 0 obj << /Type /StructElem /S /H1 /P 90 0 R /T (important gaps still remain. For instance, very few studies examine real-time responses to unexpected code-switching in early vs. late bilinguals. Previous studies focus on a single age group or early and late bilinguals separately, limiting opportunities for direct comparison. Moreover, many studies use isolated word-level or sentence-level code-switches, neglecting natural discourse contexts where bilinguals switch for pragmatic, emotional, or social reasons that can be unpredictable to listeners. Additionally, very few studies account for the directionality of switch \(L1 to L2 vs. L2 to L1\) in terms of early vs. late bilinguals. As previously mentioned, this is important because cognitive control may vary depending on dominance and proficiency. Studies that combine fMRI and ERP are quite uncommon in this field, and most rely on just one method, leaving an incomplete picture of temporal and spatial dynamics in bilingual code-switching of early vs. late bilinguals. Addressing these gaps would strengthen many theoretical models and hypotheses proposed in previous research and provide a ) /E (important gaps still remain. For instance, very few studies examine real-time responses to unexpected code-switching in early vs. late bilinguals. Previous studies focus on a single age group or early and late bilinguals separately, limiting opportunities for direct comparison. Moreover, many studies use isolated word-level or sentence-level code-switches, neglecting natural discourse contexts where bilinguals switch for pragmatic, emotional, or social reasons that can be unpredictable to listeners. Additionally, very few studies account for the directionality of switch \(L1 to L2 vs. L2 to L1\) in terms of early vs. late bilinguals. As previously mentioned, this is important because cognitive control may vary depending on dominance and proficiency. Studies that combine fMRI and ERP are quite uncommon in this field, and most rely on just one method, leaving an incomplete picture of temporal and spatial dynamics in bilingual code-switching of early vs. late bilinguals. Addressing these gaps would strengthen many theoretical models and hypotheses proposed in previous research and provide a ) /Pg 14 0 R /K [1] >> endobj 130 0 obj << /Type /StructElem /S /P /P 90 0 R /E (5 ) /Pg 14 0 R /K [2] >> endobj 131 0 obj << /Type /StructElem /S /H1 /P 90 0 R /T (Litcofsky & Van Hell \(2017\) show that the code-switching direction and language dominance can influence neural responses. A study by Heredia & Altarriba \(2001\) suggests that people switch from their L1 to their L2 with more ease than from their L2 to their L1. Code-switches into the weaker language trigger sentence-level reanalysis, whereas switches into the dominant language reflect word-level reanalysis. These studies provide evidence that suggests early bilinguals treat code-switches as a routine variation within a unified system, while late bilinguals experience higher conflict and require greater control-related activation when confronted with unexpected switches. 1.2 Gaps in Current Literature ) /E (Litcofsky & Van Hell \(2017\) show that the code-switching direction and language dominance can influence neural responses. A study by Heredia & Altarriba \(2001\) suggests that people switch from their L1 to their L2 with more ease than from their L2 to their L1. Code-switches into the weaker language trigger sentence-level reanalysis, whereas switches into the dominant language reflect word-level reanalysis. These studies provide evidence that suggests early bilinguals treat code-switches as a routine variation within a unified system, while late bilinguals experience higher conflict and require greater control-related activation when confronted with unexpected switches. 1.2 Gaps in Current Literature ) /Pg 14 0 R /K [3] >> endobj 132 0 obj << /Type /StructElem /S /H1 /P 91 0 R /T <636C656172657220756E6465727374616E64696E67206F6620686F772062696C696E6775616C73207769746820646966666572656E7420416F41907320726567756C61746520616E6420636F6E74726F6C20636F6D706574696E67206C696E677569737469632073797374656D7320696E207265616C2074696D652E2020312E3320526174696F6E616C6520666F72207468652043757272656E74205374756479> /E <636C656172657220756E6465727374616E64696E67206F6620686F772062696C696E6775616C73207769746820646966666572656E7420416F41907320726567756C61746520616E6420636F6E74726F6C20636F6D706574696E67206C696E677569737469632073797374656D7320696E207265616C2074696D652E2020312E3320526174696F6E616C6520666F72207468652043757272656E74205374756479> /Pg 15 0 R /K [0] >> endobj 133 0 obj << /Type /StructElem /S /H1 /P 91 0 R /T (The proposed study aims to contribute to our understanding of how bilinguals coordinate ) /E (The proposed study aims to contribute to our understanding of how bilinguals coordinate ) /Pg 15 0 R /K [1] >> endobj 134 0 obj << /Type /StructElem /S /H1 /P 91 0 R /T 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/E 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/Pg 15 0 R /K [2] >> endobj 135 0 obj << /Type /StructElem /S /P /P 91 0 R /E (6 ) /Pg 15 0 R /K [3] >> endobj 136 0 obj << /Type /StructElem /S /P /P 92 0 R /E (7 ) /Pg 16 0 R /K [0] >> endobj 137 0 obj << /Type /StructElem /S /H1 /P 92 0 R /T (mechanisms during language processing. Additionally, fMRI data is hypothesized to show variation in activation between early and late bilinguals. Early bilinguals are expected to show higher activation in the left inferior frontal gyrus and the left superior temporal gyrus, in contrast, late bilinguals are expected to show higher activation in the dorsolateral prefrontal cortex and the anterior cingulate cortex\(Jasinska & Petitto, 2013\). 2. Methods 2.1 Participants) /E (mechanisms during language processing. Additionally, fMRI data is hypothesized to show variation in activation between early and late bilinguals. Early bilinguals are expected to show higher activation in the left inferior frontal gyrus and the left superior temporal gyrus, in contrast, late bilinguals are expected to show higher activation in the dorsolateral prefrontal cortex and the anterior cingulate cortex\(Jasinska & Petitto, 2013\). 2. Methods 2.1 Participants) /Pg 16 0 R /K [1] >> endobj 138 0 obj << /Type /StructElem /S /H1 /P 92 0 R /T <5468697320737475647920696E766F6C76657320343020456E676C6973682D4672656E63682062696C696E6775616C732066726F6D205175E96265632C2043616E6164612E204F662074686F736520343020> /E <5468697320737475647920696E766F6C76657320343020456E676C6973682D4672656E63682062696C696E6775616C732066726F6D205175E96265632C2043616E6164612E204F662074686F736520343020> /Pg 16 0 R /K [2] >> endobj 139 0 obj << /Type /StructElem /S /H1 /P 92 0 R /T (participants, 20 individuals are early bilinguals \(before the age of 7\), and 20 individuals are late bilinguals \(after the age of 7\). To ensure further balance,10 early bilinguals are female and the other 10 are male, and the same goes for late bilinguals. Participants ranged in age from 18-35 \(M = 24.3, SD = 3.7\), and all individuals had English as their L1 and French as their L2. Early bilinguals learned French before the age of 7 and late bilinguals learned French after the age of 7. All participants were fluent in their L1 and L2 and actively used both in their daily lives. Before the study participants were required to participate in a LEAP-Q assessment where they were screened for fluency, age of acquisition of their L2, extent of exposure to each language in different contexts, how frequently they encounter code-switching, and any potential reasons their comprehension of code-switching, reading, or hearing may be impaired. Individuals were not considered for this study if they were not fluent, if they were not often in immersive, code-switching environments, or if they had a history of neurological disorders, reading disorders, or hearing impairment. 2.2 Stimuli) /E (participants, 20 individuals are early bilinguals \(before the age of 7\), and 20 individuals are late bilinguals \(after the age of 7\). To ensure further balance,10 early bilinguals are female and the other 10 are male, and the same goes for late bilinguals. Participants ranged in age from 18-35 \(M = 24.3, SD = 3.7\), and all individuals had English as their L1 and French as their L2. Early bilinguals learned French before the age of 7 and late bilinguals learned French after the age of 7. All participants were fluent in their L1 and L2 and actively used both in their daily lives. Before the study participants were required to participate in a LEAP-Q assessment where they were screened for fluency, age of acquisition of their L2, extent of exposure to each language in different contexts, how frequently they encounter code-switching, and any potential reasons their comprehension of code-switching, reading, or hearing may be impaired. Individuals were not considered for this study if they were not fluent, if they were not often in immersive, code-switching environments, or if they had a history of neurological disorders, reading disorders, or hearing impairment. 2.2 Stimuli) /Pg 16 0 R /K [3] >> endobj 140 0 obj << /Type /StructElem /S /P /P 93 0 R /E (8 ) /Pg 17 0 R /K [0] >> endobj 141 0 obj << /Type /StructElem /S /H1 /P 93 0 R /T (Experimental materials consisted of critical sentences designed for both the ERP and ) /E (Experimental materials consisted of critical sentences designed for both the ERP and ) /Pg 17 0 R /K [1] >> endobj 142 0 obj << /Type /StructElem /S /H1 /P 93 0 R /T (fMRI tasks. Each sentence contained one target noun where a potential code-switch could occur and stimuli were organized into four conditions: strong-fit English, strong-fit French, weak-fit English, and weak-fit French. The ERP task included 160 critical sentences \(40 per condition\) presented visually, while the fMRI task included 120 critical sentences \(30 per condition\) presented acoustically. Sentences ranged from 6 to 10 words in length with the code-switch occurring mid-sentence. Target nouns were balanced across lexical category, frequency, syllable length, and semantic category. All stimuli were distributed across four counterbalanced lists so that each participant saw only one version of each item and both tasks included filler sentences to reduce predictability. All sentences were in English and only code-switching conditions contained French code-switched nouns. ) /E (fMRI tasks. Each sentence contained one target noun where a potential code-switch could occur and stimuli were organized into four conditions: strong-fit English, strong-fit French, weak-fit English, and weak-fit French. The ERP task included 160 critical sentences \(40 per condition\) presented visually, while the fMRI task included 120 critical sentences \(30 per condition\) presented acoustically. Sentences ranged from 6 to 10 words in length with the code-switch occurring mid-sentence. Target nouns were balanced across lexical category, frequency, syllable length, and semantic category. All stimuli were distributed across four counterbalanced lists so that each participant saw only one version of each item and both tasks included filler sentences to reduce predictability. All sentences were in English and only code-switching conditions contained French code-switched nouns. ) /Pg 17 0 R /K [2] >> endobj 143 0 obj << /Type /StructElem /S /H1 /P 93 0 R /T (Figure 1. This table shows examples of possible stimuli sentences in all conditions. ) /E (Figure 1. This table shows examples of possible stimuli sentences in all conditions. ) /Pg 17 0 R /K [3] >> endobj 144 0 obj << /Type /StructElem /S /H1 /P 93 0 R /T (Strong-fit nouns are high-frequency, everyday lexical items, weak-fit nouns are low-frequency or unexpected synonyms of the expected noun. Target nouns serve as the ERP time-locking point. Target nouns are highlighted to demonstrate where in the sentence a switch may occur. Predictability, directionality of the switch, and the four conditions are all accounted for in the table. 2.3 Procedure) /E (Strong-fit nouns are high-frequency, everyday lexical items, weak-fit nouns are low-frequency or unexpected synonyms of the expected noun. Target nouns serve as the ERP time-locking point. Target nouns are highlighted to demonstrate where in the sentence a switch may occur. Predictability, directionality of the switch, and the four conditions are all accounted for in the table. 2.3 Procedure) /Pg 17 0 R /K [4] >> endobj 145 0 obj << /Type /StructElem /S /H2 /P 93 0 R /T (Conditions ) /E (Conditions ) /Pg 17 0 R /K [5] >> endobj 146 0 obj << /Type /StructElem /S /H2 /P 93 0 R /T (English-base sentences ) /E (English-base sentences ) /Pg 17 0 R /K [6] >> endobj 147 0 obj << /Type /StructElem /S /P /P 93 0 R /E (He put the hat on his head ) /Pg 17 0 R /K [7] >> endobj 148 0 obj << /Type /StructElem /S /P /P 93 0 R /E <4865207075742074686520686174206F6E206869732074EA746520> /Pg 17 0 R /K [8] >> endobj 149 0 obj << /Type /StructElem /S /P /P 93 0 R /E (He put the hat on his cranium ) /Pg 17 0 R /K [9] >> endobj 150 0 obj << /Type /StructElem /S /P /P 93 0 R /E <4865207075742074686520686174206F6E20686973206372E26E6520> /Pg 17 0 R /K [10] >> endobj 151 0 obj << /Type /StructElem /S /P /P 93 0 R /E (Strong-fit English ) /Pg 17 0 R /K [11] >> endobj 152 0 obj << /Type /StructElem /S /P /P 93 0 R /E (Strong-fit French ) /Pg 17 0 R /K [12] >> endobj 153 0 obj << /Type /StructElem /S /P /P 93 0 R /E (Weak-fit English ) /Pg 17 0 R /K [13] >> endobj 154 0 obj << /Type /StructElem /S /P /P 93 0 R /E (Weak-fit French ) /Pg 17 0 R /K [14] >> endobj 155 0 obj << /Type /StructElem /S /P /P 93 0 R /E (tostay warm. ) /Pg 17 0 R /K [15] >> endobj 156 0 obj << /Type /StructElem /S /P /P 93 0 R /E (tostay warm. ) /Pg 17 0 R /K [16] >> endobj 157 0 obj << /Type /StructElem /S /P /P 93 0 R /E (to stay warm. ) /Pg 17 0 R /K [17] >> endobj 158 0 obj << /Type /StructElem /S /P /P 93 0 R /E (tostay warm. ) /Pg 17 0 R /K [18] >> endobj 159 0 obj << /Type /StructElem /S /H1 /P 94 0 R /T (This study will collect both electrophysiological and neuroimaging measures to examine ) /E (This study will collect both electrophysiological and neuroimaging measures to examine ) /Pg 18 0 R /K [0] >> endobj 160 0 obj << /Type /StructElem /S /H1 /P 94 0 R /T (how early and late bilinguals process unexpected code-switches in real time. The primary measurements for the ERP task include the mean amplitude and peak latency for the N400 and LPC components time-locked to the target noun. N400 amplitudes index lexical-semantic integration difficulty, while LPC reflects syntactic reanalysis and post-lexical integration. Reaction times from sentence acceptability judgments will also be recorded to assess behavioral processing speed following code-switches. For the fMRI task, functional brain activation will be measured using blood oxygenation level-dependent \(BOLD\) signal changes during each of the four conditions. Regions of interest will be focused on areas previously implicated in bilingual ) /E (how early and late bilinguals process unexpected code-switches in real time. The primary measurements for the ERP task include the mean amplitude and peak latency for the N400 and LPC components time-locked to the target noun. N400 amplitudes index lexical-semantic integration difficulty, while LPC reflects syntactic reanalysis and post-lexical integration. Reaction times from sentence acceptability judgments will also be recorded to assess behavioral processing speed following code-switches. For the fMRI task, functional brain activation will be measured using blood oxygenation level-dependent \(BOLD\) signal changes during each of the four conditions. Regions of interest will be focused on areas previously implicated in bilingual ) /Pg 18 0 R /K [1] >> endobj 161 0 obj << /Type /StructElem /S /P /P 94 0 R /E (9 ) /Pg 18 0 R /K [2] >> endobj 162 0 obj << /Type /StructElem /S /H1 /P 94 0 R /T (Participants completed two experimental tasks: a visual ERP task and an auditory fMRI ) /E (Participants completed two experimental tasks: a visual ERP task and an auditory fMRI ) /Pg 18 0 R /K [3] >> endobj 163 0 obj << /Type /StructElem /S /H1 /P 94 0 R /T (task. In the ERP session, participants wore a 64-channel EEG cap and impedances were reduced before recording. Participants were seated 40 inches from a computer and were presented with sentences word-by-word. The target noun was time-locked for ERP analysis. After each sentence participants had 2000 ms to decide whether the sentence was acceptable. If the sentence is deemed unacceptable, participants had to right-click the mouse, if the sentence was acceptable, participants did nothing. In the fMRI session, participants heard naturalistic sentences recorded by a fluent English-French bilingual while lying in the scanner. Stimuli were delivered through MRI-safe headphones and the reduced number of trials accommodated scan time and participant comfort. Participants listened to each sentence and responded according to task instructions, allowing comparison of neural responses to expected and unexpected code-switches across auditory and visual modalities. 3. Measurements and Predictions 3.1 Measurements ) /E (task. In the ERP session, participants wore a 64-channel EEG cap and impedances were reduced before recording. Participants were seated 40 inches from a computer and were presented with sentences word-by-word. The target noun was time-locked for ERP analysis. After each sentence participants had 2000 ms to decide whether the sentence was acceptable. If the sentence is deemed unacceptable, participants had to right-click the mouse, if the sentence was acceptable, participants did nothing. In the fMRI session, participants heard naturalistic sentences recorded by a fluent English-French bilingual while lying in the scanner. Stimuli were delivered through MRI-safe headphones and the reduced number of trials accommodated scan time and participant comfort. Participants listened to each sentence and responded according to task instructions, allowing comparison of neural responses to expected and unexpected code-switches across auditory and visual modalities. 3. Measurements and Predictions 3.1 Measurements ) /Pg 18 0 R /K [4] >> endobj 164 0 obj << /Type /StructElem /S /P /P 95 0 R /E (10 ) /Pg 19 0 R /K [0] >> endobj 165 0 obj << /Type /StructElem /S /H1 /P 95 0 R /T (control and sentence integration, including the left inferior frontal gyrus \(LIFG\), anterior cingulate cortex \(ACC\), dorsolateral prefrontal cortex \(DLPFC\), and left superior temporal gyrus \(STG\). 3.2 Predicted results) /E (control and sentence integration, including the left inferior frontal gyrus \(LIFG\), anterior cingulate cortex \(ACC\), dorsolateral prefrontal cortex \(DLPFC\), and left superior temporal gyrus \(STG\). 3.2 Predicted results) /Pg 19 0 R /K [1] >> endobj 166 0 obj << /Type /StructElem /S /H1 /P 95 0 R /T (If the processing cost that is being examined is unique to code switching, we should see larger LAN and LPC scores, as well as generally higher processing costs due to the target word being a noun. These findings would align with the study by Ng et al. \(2014\). If the processing cost observed is not unique to code switching, the results would likely resemble a study by Yacovone et al. \(2021\). In this case, we would predict higher processing costs for weak-fit words that are indicative of an unexpected linguistic error rather than a code-switching error. In both of these cases, it is predicted that early and late bilinguals will show distinct neural responses to unexpected code-switches. As suggested by Chauncey et al. \(2008\) and Litcofsky & Van Hell \(2017\), early bilinguals are predicted to display smaller N400 amplitudes and LPC amplitudes indicating more efficient lexical-semantic integration and less syntactic reanalysis when encountering a switch. Their reaction times are expected to be faster, reflecting quicker resolution of cross-linguistic interference. In contrast, late bilinguals are predicted to show larger N400 and LPC amplitudes, consistent with greater semantic mismatch detection, higher integration cost, and increased reliance on control-related processing during code-switching resolution \(Chauncey et al., 2008\). ) /E (If the processing cost that is being examined is unique to code switching, we should see larger LAN and LPC scores, as well as generally higher processing costs due to the target word being a noun. These findings would align with the study by Ng et al. \(2014\). If the processing cost observed is not unique to code switching, the results would likely resemble a study by Yacovone et al. \(2021\). In this case, we would predict higher processing costs for weak-fit words that are indicative of an unexpected linguistic error rather than a code-switching error. In both of these cases, it is predicted that early and late bilinguals will show distinct neural responses to unexpected code-switches. As suggested by Chauncey et al. \(2008\) and Litcofsky & Van Hell \(2017\), early bilinguals are predicted to display smaller N400 amplitudes and LPC amplitudes indicating more efficient lexical-semantic integration and less syntactic reanalysis when encountering a switch. Their reaction times are expected to be faster, reflecting quicker resolution of cross-linguistic interference. In contrast, late bilinguals are predicted to show larger N400 and LPC amplitudes, consistent with greater semantic mismatch detection, higher integration cost, and increased reliance on control-related processing during code-switching resolution \(Chauncey et al., 2008\). ) /Pg 19 0 R /K [2] >> endobj 167 0 obj << /Type /StructElem /S /H1 /P 95 0 R /T (In the fMRI task, both early and late bilinguals are expected to show activation in ) /E (In the fMRI task, both early and late bilinguals are expected to show activation in ) /Pg 19 0 R /K [3] >> endobj 168 0 obj << /Type /StructElem /S /H1 /P 95 0 R /T (left-hemisphere regions associated with language \(particularly the LIFG, the ACC, and the left STG\) across all conditions. Early bilinguals are predicted to show stronger activation in left-hemisphere perisylvian language regions and right-hemisphere homologues than late ) /E (left-hemisphere regions associated with language \(particularly the LIFG, the ACC, and the left STG\) across all conditions. Early bilinguals are predicted to show stronger activation in left-hemisphere perisylvian language regions and right-hemisphere homologues than late ) /Pg 19 0 R /K [4] >> endobj 169 0 obj << /Type /StructElem /S /Figure /P 96 0 R /Pg 20 0 R /A [286 0 R 0] /K [0] >> endobj 170 0 obj << /Type /StructElem /S /H1 /P 96 0 R /T (Figure 2. Predicted ERP waveforms at central-parietal sites such as Cz or Pz, ) /E (Figure 2. Predicted ERP waveforms at central-parietal sites such as Cz or Pz, ) /Pg 20 0 R /K [1] >> endobj 171 0 obj << /Type /StructElem /S /H1 /P 96 0 R /T <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> /E <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> /Pg 20 0 R /K [2] >> endobj 172 0 obj << /Type /StructElem /S /P /P 96 0 R /E (11 ) /Pg 20 0 R /K [3] >> endobj 173 0 obj << /Type /StructElem /S /H1 /P 96 0 R /T (bilinguals \(Jasinska & Petitto, 2013\). Late bilinguals are predicted to exhibit greater activation in the DLPFC and ACC during unexpected switches, indicating stronger engagement of conflict monitoring and executive control mechanisms \(Abutalebi & Green, 2016\). Late bilinguals may show less efficient suppression of the non-target language direction, resulting in increased bilateral or right-frontal recruitment. These predicted patterns align with previous findings showing that earlier age of acquisition supports more distributed, integrated, and efficient bilingual networks, whereas later learners rely more heavily on top-down control processes during language conflict \(Webber-fox & Neville, 1996\). ) /E (bilinguals \(Jasinska & Petitto, 2013\). Late bilinguals are predicted to exhibit greater activation in the DLPFC and ACC during unexpected switches, indicating stronger engagement of conflict monitoring and executive control mechanisms \(Abutalebi & Green, 2016\). Late bilinguals may show less efficient suppression of the non-target language direction, resulting in increased bilateral or right-frontal recruitment. These predicted patterns align with previous findings showing that earlier age of acquisition supports more distributed, integrated, and efficient bilingual networks, whereas later learners rely more heavily on top-down control processes during language conflict \(Webber-fox & Neville, 1996\). ) /Pg 20 0 R /K [4] >> endobj 174 0 obj << /Type /StructElem /S /Figure /P 97 0 R /Pg 21 0 R /A [287 0 R 0] /K [0] >> endobj 175 0 obj << /Type /StructElem /S /H1 /P 97 0 R /T (The predicted results of this study have several important implications for understanding ) /E (The predicted results of this study have several important implications for understanding ) /Pg 21 0 R /K [1] >> endobj 176 0 obj << /Type /StructElem /S /H1 /P 97 0 R /T (how early and late bilinguals process unexpected code-switches in real time. Consistent with prior work showing that early bilinguals develop more integrated and automatic bilingual language networks \(Jasinska & Petitto, 2013; Perani et al., 2003\), the predicted N400 and LPC responses suggest that early bilinguals process code-switches as routine variations rather than ) /E (how early and late bilinguals process unexpected code-switches in real time. Consistent with prior work showing that early bilinguals develop more integrated and automatic bilingual language networks \(Jasinska & Petitto, 2013; Perani et al., 2003\), the predicted N400 and LPC responses suggest that early bilinguals process code-switches as routine variations rather than ) /Pg 21 0 R /K [2] >> endobj 177 0 obj << /Type /StructElem /S /P /P 97 0 R /E (12 ) /Pg 21 0 R /K [3] >> endobj 178 0 obj << /Type /StructElem /S /H1 /P 97 0 R /T (Figure 3. According to our predictedresults based on a study by Abutalebi & Green ) /E (Figure 3. According to our predictedresults based on a study by Abutalebi & Green ) /Pg 21 0 R /K [4] >> endobj 179 0 obj << /Type /StructElem /S /H1 /P 97 0 R /T (\(2016\), both early and late bilinguals will show activation in the left inferior frontal gyrus \(LIFG\), the anterior cingulate gyrus \(ACC\), the dorsolateral prefrontal cortex \(DLPFC\), and the basal ganglia \(especially the caudate nucleus\). The areas highlighted in blue \(LIFG, left STG and basal ganglia\) are predicted to have higher activation for early bilinguals, and the areas highlighted in red \(DSLPFC and ACC\) are predicted to have higher activation for late bilinguals. This reflects findings from Jasinska & Petitto \(2013\) and Gullifer et al. \(2018\) showing a more integrated network and stronger frontal connectivity in early bilinguals. As well as a pattern for late bilinguals that reflects a more effortful and distributed control engagement and the heightened reliance on executive-control networks \(Jasinska & Petitto, 2013; Gullifer et al., 2018\). 4. Discussion 4.1 Predicted Results in the Context of Previous Research ) /E (\(2016\), both early and late bilinguals will show activation in the left inferior frontal gyrus \(LIFG\), the anterior cingulate gyrus \(ACC\), the dorsolateral prefrontal cortex \(DLPFC\), and the basal ganglia \(especially the caudate nucleus\). The areas highlighted in blue \(LIFG, left STG and basal ganglia\) are predicted to have higher activation for early bilinguals, and the areas highlighted in red \(DSLPFC and ACC\) are predicted to have higher activation for late bilinguals. This reflects findings from Jasinska & Petitto \(2013\) and Gullifer et al. \(2018\) showing a more integrated network and stronger frontal connectivity in early bilinguals. As well as a pattern for late bilinguals that reflects a more effortful and distributed control engagement and the heightened reliance on executive-control networks \(Jasinska & Petitto, 2013; Gullifer et al., 2018\). 4. Discussion 4.1 Predicted Results in the Context of Previous Research ) /Pg 21 0 R /K [5] >> endobj 180 0 obj << /Type /StructElem /S /H1 /P 98 0 R /T ( The study is highly feasible, as both ERP and fMRI methods are well-established techniques in bilingualism research and the proposed experimental design closely follows successful paradigms used in previous studies. The combination of visual ERP and auditory ) /E ( The study is highly feasible, as both ERP and fMRI methods are well-established techniques in bilingualism research and the proposed experimental design closely follows successful paradigms used in previous studies. The combination of visual ERP and auditory ) /Pg 22 0 R /K [0] >> endobj 181 0 obj << /Type /StructElem /S /P /P 98 0 R /E (13 ) /Pg 22 0 R /K [1] >> endobj 182 0 obj << /Type /StructElem /S /H1 /P 98 0 R /T (violations requiring extra semantic or syntactic reanalysis. This aligns with theories proposing that early bilinguals rely on a unified linguistic system, where processing costs arise from violations of expectancies or other linguistic errors rather than unique code-switching costs. \(Yacovone et al., 2021\). ) /E (violations requiring extra semantic or syntactic reanalysis. This aligns with theories proposing that early bilinguals rely on a unified linguistic system, where processing costs arise from violations of expectancies or other linguistic errors rather than unique code-switching costs. \(Yacovone et al., 2021\). ) /Pg 22 0 R /K [2] >> endobj 183 0 obj << /Type /StructElem /S /H1 /P 98 0 R /T (In contrast, the larger predicted N400 and LPC amplitudes in late bilinguals provide ) /E (In contrast, the larger predicted N400 and LPC amplitudes in late bilinguals provide ) /Pg 22 0 R /K [3] >> endobj 184 0 obj << /Type /StructElem /S /H1 /P 98 0 R /T (evidence for integration difficulties along with more reliance on cognitive control mechanisms. These results complement models such as the Adaptive Control Hypothesis \(Abutalebi & Green, 2016\), which suggests that late bilinguals depend more on frontal control regions to manage interference from the non-target language. The predicted increase in DLPFC and ACC activation during code-switching in late bilinguals is further supported by findings from Gullifer et al. \(2018\), who showed that late bilinguals exhibit stronger frontal control engagement when resolving conflict. These patterns reinforce the view that L2 age of acquisition has a key role in shaping bilingual neural responses during bilingual discourse. The expected results also speak to competing theories of code-switching costs. If early bilinguals show minimal switch-related costs while late bilinguals show higher N400 and LPC effects, this pattern would support the argument that some switch-related costs reflect unique code-switching demands \(Nga et al., 2014\), and are not only based on prediction error. However, the presence of semantic effects in both groups would align with Yacovone et al. 's \(2021\) claim that unexpected errors remain a main factor of these higher processing costs. 4.2 Feasibility of the Proposed Study) /E (evidence for integration difficulties along with more reliance on cognitive control mechanisms. These results complement models such as the Adaptive Control Hypothesis \(Abutalebi & Green, 2016\), which suggests that late bilinguals depend more on frontal control regions to manage interference from the non-target language. The predicted increase in DLPFC and ACC activation during code-switching in late bilinguals is further supported by findings from Gullifer et al. \(2018\), who showed that late bilinguals exhibit stronger frontal control engagement when resolving conflict. These patterns reinforce the view that L2 age of acquisition has a key role in shaping bilingual neural responses during bilingual discourse. The expected results also speak to competing theories of code-switching costs. If early bilinguals show minimal switch-related costs while late bilinguals show higher N400 and LPC effects, this pattern would support the argument that some switch-related costs reflect unique code-switching demands \(Nga et al., 2014\), and are not only based on prediction error. However, the presence of semantic effects in both groups would align with Yacovone et al. 's \(2021\) claim that unexpected errors remain a main factor of these higher processing costs. 4.2 Feasibility of the Proposed Study) /Pg 22 0 R /K [4] >> endobj 185 0 obj << /Type /StructElem /S /H1 /P 99 0 R /T (This study has substantial theoretical and methodological significance. By directly ) /E (This study has substantial theoretical and methodological significance. By directly ) /Pg 23 0 R /K [0] >> endobj 186 0 obj << /Type /StructElem /S /H1 /P 99 0 R /T (comparing early and late bilinguals within the same experimental paradigm, it will clarify how age of acquisition can shape temporal and spatial neural dynamics during code-switching. The dual-method design provides a comprehensive view of bilingual processing, capturing both rapid responses \(ERP\) and neural activation patterns \(fMRI\). By manipulating semantic fit, the study addresses gaps in the literature concerning predictability and dominance. However, several limitations still remain. First, although the sample size is typical for ERP and fMRI studies in this field, larger samples would improve generalizability and statistical accuracy, especially given the wide variability in individual bilingual experience. Second, the use of sentence-level stimuli improves ecological validity relative to isolated word paradigms but it still does not recreate the exact social and pragmatic contexts of real-world code-switching. Third, the study ) /E (comparing early and late bilinguals within the same experimental paradigm, it will clarify how age of acquisition can shape temporal and spatial neural dynamics during code-switching. The dual-method design provides a comprehensive view of bilingual processing, capturing both rapid responses \(ERP\) and neural activation patterns \(fMRI\). By manipulating semantic fit, the study addresses gaps in the literature concerning predictability and dominance. However, several limitations still remain. First, although the sample size is typical for ERP and fMRI studies in this field, larger samples would improve generalizability and statistical accuracy, especially given the wide variability in individual bilingual experience. Second, the use of sentence-level stimuli improves ecological validity relative to isolated word paradigms but it still does not recreate the exact social and pragmatic contexts of real-world code-switching. Third, the study ) /Pg 23 0 R /K [1] >> endobj 187 0 obj << /Type /StructElem /S /P /P 99 0 R /E (14 ) /Pg 23 0 R /K [2] >> endobj 188 0 obj << /Type /StructElem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g 23 0 R /K [3] >> endobj 189 0 obj << /Type /StructElem /S /H1 /P 100 0 R /T (In summary, the proposed study offers a comprehensive comparison of how early and late ) /E (In summary, the proposed study offers a comprehensive comparison of how early and late ) /Pg 24 0 R /K [0] >> endobj 190 0 obj << /Type /StructElem /S /H1 /P 100 0 R /T (bilinguals process unexpected code-switches using both ERP and fMRI measures. The predicted findings suggest that early bilinguals engage a more integrated and efficient neural system for handling switches, while late bilinguals rely more heavily on executive control. By combining temporal and spatial perspectives on bilingual processing, this research has the potential to refine and combine existing theoretical models and fill gaps in the literature on age of acquisition and bilingual language control. ) /E (bilinguals process unexpected code-switches using both ERP and fMRI measures. The predicted findings suggest that early bilinguals engage a more integrated and efficient neural system for handling switches, while late bilinguals rely more heavily on executive control. By combining temporal and spatial perspectives on bilingual processing, this research has the potential to refine and combine existing theoretical models and fill gaps in the literature on age of acquisition and bilingual language control. ) /Pg 24 0 R /K [1] >> endobj 191 0 obj << /Type /StructElem /S /P /P 100 0 R /E (15 ) /Pg 24 0 R /K [2] >> endobj 192 0 obj << /Type /StructElem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g 24 0 R /K [3] >> endobj 193 0 obj << /Type /StructElem /S /H1 /P 100 0 R /T (Future studies should aim to incorporate more naturalistic discourse to observe real-world ) /E (Future studies should aim to incorporate more naturalistic discourse to observe real-world ) /Pg 24 0 R /K [4] >> endobj 194 0 obj << /Type /StructElem /S /H1 /P 100 0 R /T (social and pragmatic contexts. Gathering more sociolinguistic data of bilinguals from communities with different code-switching norms can give insight into whether or not the proposed differences between early and late bilinguals are universal. Future research could examine school-age children who have less experience than the adults in this proposed study. This could allow researchers to compare the results of children and adults and see the similarities and differences, similar to the work by Schug et al. \(2022\) that looked at GMV. Overall, future studies of neural activation on early and late bilinguals should include a diverse range of ages and languages to broaden the generalizability of bilingual processing models and capture the full picture of the bilingual experience. 4.4 Conclusion ) /E (social and pragmatic contexts. Gathering more sociolinguistic data of bilinguals from communities with different code-switching norms can give insight into whether or not the proposed differences between early and late bilinguals are universal. Future research could examine school-age children who have less experience than the adults in this proposed study. This could allow researchers to compare the results of children and adults and see the similarities and differences, similar to the work by Schug et al. \(2022\) that looked at GMV. Overall, future studies of neural activation on early and late bilinguals should include a diverse range of ages and languages to broaden the generalizability of bilingual processing models and capture the full picture of the bilingual experience. 4.4 Conclusion ) /Pg 24 0 R /K [5] >> endobj 195 0 obj << /Type /StructElem /S /P /P 101 0 R /E (16 ) /Pg 25 0 R /K [0] >> endobj 196 0 obj << /Type /StructElem /S /P /P 101 0 R /E (Abutalebi, J., & Green, D. W. \(2016\). Neuroimaging of language control in bilinguals: neural ) /Pg 25 0 R /K [1] >> endobj 197 0 obj << /Type /StructElem /S /P /P 101 0 R /E <61646170746174696F6E20616E6420726573657276652E2042696C696E6775616C69736D202843616D6272696467652C20456E676C616E64292C2031392834292C20363839853639382E2068747470733A2F2F646F692E6F72672F31302E313031372F533133363637323839313630303032323520> /Pg 25 0 R /K [2] >> endobj 198 0 obj << /Type /StructElem /S /P /P 101 0 R /E (Chauncey, K., Grainger, J., & Holcomb, P. J. \(2008\). Code-switching effects in bilingual word ) /Pg 25 0 R /K [3] >> endobj 199 0 obj << /Type /StructElem /S /P /P 101 0 R /E <7265636F676E6974696F6E3A2041206D61736B6564207072696D696E672073747564792077697468206576656E742D72656C6174656420706F74656E7469616C732E20427261696E20616E64204C616E67756167652C203130352833292C20313631853137342E2068747470733A2F2F646F692E6F72672F31302E313031362F6A2E62616E646C2E323030372E31312E30303620> /Pg 25 0 R /K [4] >> endobj 200 0 obj << /Type /StructElem /S /P /P 101 0 R /E (Green, D. W., & Abutalebi, J. \(2013\). Language control in bilinguals: The adaptive control ) /Pg 25 0 R /K [5] >> endobj 201 0 obj << /Type /StructElem /S /P /P 101 0 R /E <6879706F7468657369732E204A6F75726E616C206F6620436F676E69746976652050737963686F6C6F67792028486F76652C20456E676C616E64292C2032352835292C20353135853533302E2068747470733A2F2F646F692E6F72672F31302E313038302F32303434353931312E323031332E37393633373720> /Pg 25 0 R /K [6] >> endobj 202 0 obj << /Type /StructElem /S /P /P 101 0 R /E (Gullifer, J. W., Chai, X. J., Whitford, V., Pivneva, I., Baum, S., Klein, D., & Titone, D. \(2018\). ) /Pg 25 0 R /K [7] >> endobj 203 0 obj << /Type /StructElem /S /P /P 101 0 R /E <42696C696E6775616C20657870657269656E636520616E642072657374696E672D737461746520627261696E20636F6E6E65637469766974793A20496D7061637473206F66204C3220616765206F66206163717569736974696F6E20616E6420736F6369616C20646976657273697479206F66206C616E677561676520757365206F6E20636F6E74726F6C206E6574776F726B732E204E6575726F70737963686F6C6F6769612C203131372C20313233853133342E2068747470733A2F2F646F692E6F72672F31302E313031362F6A2E6E6575726F70737963686F6C6F6769612E323031382E30342E30333720> /Pg 25 0 R /K [8] >> endobj 204 0 obj << /Type /StructElem /S /P /P 101 0 R /E (Heredia, R. R., & Altarriba, J. \(2001\). 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A., & Van Hell, J. G. \(2017\). Switching direction affects switching costs: ) /E (Litcofsky, K. A., & Van Hell, J. G. \(2017\). 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Y. Y. \(2014\). The fox and the cabra: An ERP analysis of ) /E (Ng, S., Gonzalez, C., & Wicha, N. Y. Y. \(2014\). The fox and the cabra: An ERP analysis of ) /Pg 26 0 R /K [4] >> endobj 213 0 obj << /Type /StructElem /S /H1 /P 102 0 R /T <72656164696E6720636F6465207377697463686564206E6F756E7320616E6420766572627320696E2062696C696E6775616C2073686F72742073746F726965732E20427261696E2052657365617263682C203135353728417072292C20313237853134302E2068747470733A2F2F646F692E6F72672F31302E313031362F6A2E627261696E7265732E323031342E30322E30303920> /E <72656164696E6720636F6465207377697463686564206E6F756E7320616E6420766572627320696E2062696C696E6775616C2073686F72742073746F726965732E20427261696E2052657365617263682C203135353728417072292C20313237853134302E2068747470733A2F2F646F692E6F72672F31302E313031362F6A2E627261696E7265732E323031342E30322E30303920> /Pg 26 0 R /K [5] >> endobj 214 0 obj << /Type /StructElem /S /H1 /P 102 0 R /T (Perani, D., Abutalebi, J., Paulesu, E., Brambati, S., Scifo, P., Cappa, S. 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M., & Neville, H. J. \(1996\). Maturational Constraints on Functional ) /E (Weber-Fox, C. M., & Neville, H. J. \(1996\). 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Unexpected words or unexpected languages? ) /E (Yacovone, A., Moya, E., & Snedeker, J. \(2021\). Unexpected words or unexpected languages? ) /Pg 26 0 R /K [12] >> endobj 221 0 obj << /Type /StructElem /S /H1 /P 102 0 R /T (Two ERP effects of code-switching in naturalistic discourse. Cognition, 215, 104814. https://doi.org/10.1016/j.cognition.2021.104814 ) /E (Two ERP effects of code-switching in naturalistic discourse. Cognition, 215, 104814. https://doi.org/10.1016/j.cognition.2021.104814 ) /Pg 26 0 R /K [13] >> endobj 222 0 obj << /Title (Abstract) /Dest [10 0 R /Fit] /Parent 7 0 R /Prev 30 0 R /Next 288 0 R >> endobj 223 0 obj << /Title (Yacovone, A., Moya, E., & Snedeker, J. \(2021\). 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0 >> endobj 450 0 obj << /Title (utterance or conversation. This is known as code switching, and it occurs in many contexts and can often have communicative or emotional functions \(Heredia & Altarriba, 2001\). Many communities have functional and grammatical constraints that govern code-switching but there are also neurological implications \(Heredia & Altarriba, 2001\). Code-switching relies on multiple brain networks and their ability to interact, analyze, and reanalyze languages. During code-switching the brain must suppress the non-target language, while simultaneously selecting the correct lexical item from the target language in order to integrate this information \(Abutalebi & Green, 2016\). Neuroimaging work consistently identifies regions such as the left inferior frontal gyrus \(LIFG\), anterior cingulate cortex \(ACC\), and dorsolateral prefrontal cortex \(DLPFC\) as central to this process. These structures are just a few discussed by Abutalebi and Green \(2016\) in a review of bilingual neural adaptation and reserve. The LIFG supports syntactic processing and cognitive control, as well as overriding automatic processing \(Abutalebi & Green, 2016\). The ACC monitors conflict between competing representations and the DLPFC contributes to working-memory maintenance and suppression of the non-target language \(Abutalebi & Green, 2016\). A substantial amount of research suggests that the age of acquisition \(AoA\) affects bilingual language processing. A study by Webber-fox & Neville \(1996\) examined L2 AoA and the sensitivity to syntactic and semantic processing. 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These results suggest that the processes involved in code-switching, including syntactic reanalysis and conflict monitoring, may differ between early and late bilinguals.) /Dest [12 0 R /Fit] /Parent 7 0 R /Prev 450 0 R /Next 493 0 R >> endobj 492 0 obj << /Title /Dest [26 0 R /Fit] /Parent 7 0 R /Prev 494 0 R /Next 451 0 R >> endobj 493 0 obj << /Title (Neuroimaging studies further reveal that early bilinguals develop a more integrated and) /Dest [12 0 R /Fit] /Parent 7 0 R /Prev 491 0 R /Next 495 0 R >> endobj 494 0 obj << /Title <54686520726F6C65206F6620616765206F66206163717569736974696F6E20616E64206C616E677561676520757361676520696E206561726C792C20686967682D70726F66696369656E742062696C696E6775616C733A20416E20664D524920737475647920647572696E672076657262616C20666C75656E63792E2048756D616E20427261696E204D617070696E672C2031392833292C20313730853138322E2068747470733A2F2F646F692E6F72672F31302E313030322F68626D2E3130313130> /Dest [26 0 R /Fit] /Parent 7 0 R /Prev 496 0 R /Next 492 0 R >> endobj 495 0 obj << /Title (distributed language network than late bilinguals. The age of bilingual exposure systematically shapes how the brain supports language and how it responds to code-switching. Early-exposed bilinguals recruit left-hemisphere perisylvian regions that are associated with language as well as right-hemisphere homologues, resulting in a more distributed and integrated language network \(Jasinska & Petitto, 2013; Perani et al., 2003\). Compared to monolinguals, bilinguals typically recruit additional control-related regions such as the ACC and prefrontal cortex reflecting the constant need to manage two active language systems \(Jasinska & Petitto, 2013\). Early bilinguals show more integrated and automatic neural responses, resembling a unified language network, whereas late bilinguals exhibit more distributed and effortful activation patterns, relying on executive-control regions when switching or processing their weaker language \(Jasinska & Petitto, 2013\). A study by Gullifer et al. \(2018\) examined resting-state connectivity and found that early bilinguals exhibit stronger interhemispheric frontal connectivity that supports fluent switching and efficient conflict resolution, whereas late bilinguals show heightened reliance on frontal control regions during conflict \(Gullifer et al., 2018\). The study by Gullifer et al. \(2018\) provides strong evidence for the findings of Jasinska & Petitto \(2013\).) /Dest [12 0 R /Fit] /Parent 7 0 R /Prev 493 0 R /Next 497 0 R >> endobj 496 0 obj << /Title (Perani, D., Abutalebi, J., Paulesu, E., Brambati, S., Scifo, P., Cappa, S. F., & Fazio, F. \(2003\).) /Dest [26 0 R /Fit] /Parent 7 0 R /Prev 498 0 R /Next 494 0 R >> endobj 497 0 obj << /Title (Research comparing gray matter volume \(GMV\) in bilinguals and monolinguals reveals a) /Dest [12 0 R /Fit] /Parent 7 0 R /Prev 495 0 R /Next 499 0 R >> endobj 498 0 obj << /Title <72656164696E6720636F6465207377697463686564206E6F756E7320616E6420766572627320696E2062696C696E6775616C2073686F72742073746F726965732E20427261696E2052657365617263682C203135353728417072292C20313237853134302E2068747470733A2F2F646F692E6F72672F31302E313031362F6A2E627261696E7265732E323031342E30322E303039> /Dest [26 0 R /Fit] /Parent 7 0 R /Prev 500 0 R /Next 496 0 R >> endobj 499 0 obj << /Title (complex pattern of experience-dependent structural differences. Many studies have found that early bilingual adults show increased GMV in brain regions associated with language and executive control. Schug et al. \(2022\) extended this work to children and found that early bilingual children show greater GMV in bilateral frontal regions \(the right inferior frontal cortex) /Dest [12 0 R /Fit] /Parent 7 0 R /Prev 497 0 R /Next 501 0 R >> endobj 500 0 obj << /Title (Ng, S., Gonzalez, C., & Wicha, N. Y. Y. \(2014\). The fox and the cabra: An ERP analysis of) /Dest [26 0 R /Fit] /Parent 7 0 R /Prev 502 0 R /Next 498 0 R >> endobj 501 0 obj << /Title (and the right superior parietal lobule\) than monolinguals. Interestingly, they found reduced GMV in the left-hemisphere supramarginal and angular gyrus. They also found differences in patterns between GMV in adults and children. They found that certain structural differences were more pronounced in children than adults, indicating that bilingual experience may shape the developing brain differently across childhood and adulthood \(Schug et al., 2022\).) /Dest [13 0 R /Fit] /Parent 7 0 R /Prev 499 0 R /Next 503 0 R >> endobj 502 0 obj << /Title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est [26 0 R /Fit] /Parent 7 0 R /Prev 504 0 R /Next 500 0 R >> endobj 503 0 obj << /Title (Research on neural responses to code-switching shows two major theoretical) /Dest [13 0 R /Fit] /Parent 7 0 R /Prev 501 0 R /Next 505 0 R >> endobj 504 0 obj << /Title <4265686176696F72616C2C2045525020616E642074696D652D6672657175656E637920616E616C79736573206F6620696E7472612D73656E74656E7469616C20636F6465737769746368696E672E204E6575726F70737963686F6C6F6769612C2039372C20313132853133392E2068747470733A2F2F646F692E6F72672F31302E313031362F6A2E6E6575726F70737963686F6C6F6769612E323031372E30322E303032> /Dest [26 0 R /Fit] /Parent 7 0 R /Prev 506 0 R /Next 502 0 R >> endobj 505 0 obj << /Title (interpretations. Together, the two interpretations provide a framework for understanding how early and late bilinguals may differ in their neural responses to unexpected switches. Some studies argue that processing costs associated with code-switching reflect prediction error rather than a code-switching error. Yacovone et al. \(2021\) tested this theory using an EEG paradigm storytime task in which English-Spanish bilinguals listened to stories with sentences containing either code-switches or other unexpected linguistic material across four conditions \(strong-fit English and Spanish and weak-fit English and Spanish\). They found a non-additive N400 for unpredictable words, an LPC reflecting post-lexical recognition, and sustained negativities for weak-fit words regardless of language. They concluded that bilinguals draw on a unified linguistic system and that costs arise from unexpected linguistic violations not specific code-switching costs \(Yacovone et al., 2021\).) /Dest [13 0 R /Fit] /Parent 7 0 R /Prev 503 0 R /Next 507 0 R >> endobj 506 0 obj << /Title (Litcofsky, K. A., & Van Hell, J. G. \(2017\). Switching direction affects switching costs:) /Dest [26 0 R /Fit] /Parent 7 0 R /Prev 508 0 R /Next 504 0 R >> endobj 507 0 obj << /Title (In contrast, other ERP studies demonstrate that code-switching can elicit unique neural) /Dest [13 0 R /Fit] /Parent 7 0 R /Prev 505 0 R /Next 509 0 R >> endobj 508 0 obj << /Title (References) /Dest [25 0 R /Fit] /Parent 7 0 R /Prev 510 0 R /Next 506 0 R >> endobj 509 0 obj << /Title (costs that extend beyond general prediction errors. Ng et al. \(2014\) looked at code-switching between verbs and nouns either early or late in a sentence. They found that the switched words elicited larger early left anterior negativity \(LAN\) and larger late positive component \(LPC\) amplitudes. Additionally, they found that nouns produce larger switching costs than verbs, suggesting higher syntactic and integrative demands. Similarly, Chauncey et al. \(2008\) and) /Dest [13 0 R /Fit] /Parent 7 0 R /Prev 507 0 R /Next 511 0 R >> endobj 510 0 obj << /Title (bilinguals process unexpected code-switches using both ERP and fMRI measures. The predicted findings suggest that early bilinguals engage a more integrated and efficient neural system for handling switches, while late bilinguals rely more heavily on executive control. By combining temporal and spatial perspectives on bilingual processing, this research has the potential to refine and combine existing theoretical models and fill gaps in the literature on age of acquisition and bilingual language control.) /Dest [24 0 R /Fit] /Parent 7 0 R /Prev 512 0 R /Next 508 0 R >> endobj 511 0 obj << /Title (Litcofsky & Van Hell \(2017\) show that the code-switching direction and language dominance can influence neural responses. A study by Heredia & Altarriba \(2001\) suggests that people switch from their L1 to their L2 with more ease than from their L2 to their L1. Code-switches into the weaker language trigger sentence-level reanalysis, whereas switches into the dominant language reflect word-level reanalysis. These studies provide evidence that suggests early bilinguals treat code-switches as a routine variation within a unified system, while late bilinguals experience higher conflict and require greater control-related activation when confronted with unexpected switches. 1.2 Gaps in Current Literature) /Dest [14 0 R /Fit] /Parent 7 0 R /Prev 509 0 R /Next 513 0 R >> endobj 512 0 obj << /Title (In summary, the proposed study offers a comprehensive comparison of how early and late) /Dest [24 0 R /Fit] /Parent 7 0 R /Prev 514 0 R /Next 510 0 R >> endobj 513 0 obj << /Title (The neural basis of bilingual processing is a rather well-studied field, however, several) /Dest [14 0 R /Fit] /Parent 7 0 R /Prev 511 0 R /Next 515 0 R >> endobj 514 0 obj << /Title (social and pragmatic contexts. Gathering more sociolinguistic data of bilinguals from communities with different code-switching norms can give insight into whether or not the proposed differences between early and late bilinguals are universal. Future research could examine school-age children who have less experience than the adults in this proposed study. This could allow researchers to compare the results of children and adults and see the similarities and differences, similar to the work by Schug et al. \(2022\) that looked at GMV. Overall, future studies of neural activation on early and late bilinguals should include a diverse range of ages and languages to broaden the generalizability of bilingual processing models and capture the full picture of the bilingual experience. 4.4 Conclusion) /Dest [24 0 R /Fit] /Parent 7 0 R /Prev 516 0 R /Next 512 0 R >> endobj 515 0 obj << /Title (important gaps still remain. For instance, very few studies examine real-time responses to unexpected code-switching in early vs. late bilinguals. Previous studies focus on a single age group or early and late bilinguals separately, limiting opportunities for direct comparison. Moreover, many studies use isolated word-level or sentence-level code-switches, neglecting natural discourse contexts where bilinguals switch for pragmatic, emotional, or social reasons that can be unpredictable to listeners. Additionally, very few studies account for the directionality of switch \(L1 to L2 vs. L2 to L1\) in terms of early vs. late bilinguals. As previously mentioned, this is important because cognitive control may vary depending on dominance and proficiency. Studies that combine fMRI and ERP are quite uncommon in this field, and most rely on just one method, leaving an incomplete picture of temporal and spatial dynamics in bilingual code-switching of early vs. late bilinguals. Addressing these gaps would strengthen many theoretical models and hypotheses proposed in previous research and provide a) /Dest [14 0 R /Fit] /Parent 7 0 R /Prev 513 0 R /Next 517 0 R >> endobj 516 0 obj << /Title (Future studies should aim to incorporate more naturalistic discourse to observe real-world) /Dest [24 0 R /Fit] /Parent 7 0 R /Prev 518 0 R /Next 514 0 R >> endobj 517 0 obj << /Title <636C656172657220756E6465727374616E64696E67206F6620686F772062696C696E6775616C73207769746820646966666572656E7420416F41907320726567756C61746520616E6420636F6E74726F6C20636F6D706574696E67206C696E677569737469632073797374656D7320696E207265616C2074696D652E2020312E3320526174696F6E616C6520666F72207468652043757272656E74205374756479> /Dest [15 0 R /Fit] /Parent 7 0 R /Prev 515 0 R /Next 519 0 R >> endobj 518 0 obj << /Title <666F6375736573206F6E20456E676C6973682D4672656E63682062696C696E6775616C7320696E205175E96265632C207768696368206D6179206C696D6974207468652067656E6572616C697A6162696C697479206F6620726573756C747320746F206F746865722062696C696E6775616C20706F70756C6174696F6E73207769746820646966666572656E7420736F63696F6C696E677569737469632070726F66696C6573206F7220737769746368206E6F726D732E> /Dest [24 0 R /Fit] /Parent 7 0 R /Prev 520 0 R /Next 516 0 R >> endobj 519 0 obj << /Title (The proposed study aims to contribute to our understanding of how bilinguals coordinate) /Dest [15 0 R /Fit] /Parent 7 0 R /Prev 517 0 R /Next 521 0 R >> endobj 520 0 obj << /Title (comparing early and late bilinguals within the same experimental paradigm, it will clarify how age of acquisition can shape temporal and spatial neural dynamics during code-switching. The dual-method design provides a comprehensive view of bilingual processing, capturing both rapid responses \(ERP\) and neural activation patterns \(fMRI\). By manipulating semantic fit, the study addresses gaps in the literature concerning predictability and dominance. However, several limitations still remain. First, although the sample size is typical for ERP and fMRI studies in this field, larger samples would improve generalizability and statistical accuracy, especially given the wide variability in individual bilingual experience. Second, the use of sentence-level stimuli improves ecological validity relative to isolated word paradigms but it still does not recreate the exact social and pragmatic contexts of real-world code-switching. Third, the study) /Dest [23 0 R /Fit] /Parent 7 0 R /Prev 522 0 R /Next 518 0 R >> endobj 521 0 obj << /Title <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> /Dest [15 0 R /Fit] /Parent 7 0 R /Prev 519 0 R /Next 523 0 R >> endobj 522 0 obj << /Title (This study has substantial theoretical and methodological significance. By directly) /Dest [23 0 R /Fit] /Parent 7 0 R /Prev 524 0 R /Next 520 0 R >> endobj 523 0 obj << /Title (mechanisms during language processing. Additionally, fMRI data is hypothesized to show variation in activation between early and late bilinguals. Early bilinguals are expected to show higher activation in the left inferior frontal gyrus and the left superior temporal gyrus, in contrast, late bilinguals are expected to show higher activation in the dorsolateral prefrontal cortex and the anterior cingulate cortex\(Jasinska & Petitto, 2013\). 2. Methods 2.1 Participants) /Dest [16 0 R /Fit] /Parent 7 0 R /Prev 521 0 R /Next 525 0 R >> endobj 524 0 obj << /Title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est [23 0 R /Fit] /Parent 7 0 R /Prev 526 0 R /Next 522 0 R >> endobj 525 0 obj << /Title <5468697320737475647920696E766F6C76657320343020456E676C6973682D4672656E63682062696C696E6775616C732066726F6D205175E96265632C2043616E6164612E204F662074686F7365203430> /Dest [16 0 R /Fit] /Parent 7 0 R /Prev 523 0 R /Next 527 0 R >> endobj 526 0 obj << /Title (The study is highly feasible, as both ERP and fMRI methods are well-established techniques in bilingualism research and the proposed experimental design closely follows successful paradigms used in previous studies. The combination of visual ERP and auditory) /Dest [22 0 R /Fit] /Parent 7 0 R /Prev 528 0 R /Next 524 0 R >> endobj 527 0 obj << /Title (participants, 20 individuals are early bilinguals \(before the age of 7\), and 20 individuals are late bilinguals \(after the age of 7\). To ensure further balance,10 early bilinguals are female and the other 10 are male, and the same goes for late bilinguals. Participants ranged in age from 18-35 \(M = 24.3, SD = 3.7\), and all individuals had English as their L1 and French as their L2. Early bilinguals learned French before the age of 7 and late bilinguals learned French after the age of 7. All participants were fluent in their L1 and L2 and actively used both in their daily lives. Before the study participants were required to participate in a LEAP-Q assessment where they were screened for fluency, age of acquisition of their L2, extent of exposure to each language in different contexts, how frequently they encounter code-switching, and any potential reasons their comprehension of code-switching, reading, or hearing may be impaired. Individuals were not considered for this study if they were not fluent, if they were not often in immersive, code-switching environments, or if they had a history of neurological disorders, reading disorders, or hearing impairment. 2.2 Stimuli) /Dest [16 0 R /Fit] /Parent 7 0 R /Prev 525 0 R /Next 529 0 R >> endobj 528 0 obj << /Title (evidence for integration difficulties along with more reliance on cognitive control mechanisms. These results complement models such as the Adaptive Control Hypothesis \(Abutalebi & Green, 2016\), which suggests that late bilinguals depend more on frontal control regions to manage interference from the non-target language. The predicted increase in DLPFC and ACC activation during code-switching in late bilinguals is further supported by findings from Gullifer et al. \(2018\), who showed that late bilinguals exhibit stronger frontal control engagement when resolving conflict. These patterns reinforce the view that L2 age of acquisition has a key role in shaping bilingual neural responses during bilingual discourse. The expected results also speak to competing theories of code-switching costs. If early bilinguals show minimal switch-related costs while late bilinguals show higher N400 and LPC effects, this pattern would support the argument that some switch-related costs reflect unique code-switching demands \(Nga et al., 2014\), and are not only based on prediction error. However, the presence of semantic effects in both groups would align with Yacovone et al. 's \(2021\) claim that unexpected errors remain a main factor of these higher processing costs. 4.2 Feasibility of the Proposed Study) /Dest [22 0 R /Fit] /Parent 7 0 R /Prev 530 0 R /Next 526 0 R >> endobj 529 0 obj << /Title (Experimental materials consisted of critical sentences designed for both the ERP and) /Dest [17 0 R /Fit] /Parent 7 0 R /Prev 527 0 R /Next 531 0 R >> endobj 530 0 obj << /Title (In contrast, the larger predicted N400 and LPC amplitudes in late bilinguals provide) /Dest [22 0 R /Fit] /Parent 7 0 R /Prev 532 0 R /Next 528 0 R >> endobj 531 0 obj << /Title (fMRI tasks. Each sentence contained one target noun where a potential code-switch could occur and stimuli were organized into four conditions: strong-fit English, strong-fit French, weak-fit English, and weak-fit French. The ERP task included 160 critical sentences \(40 per condition\) presented visually, while the fMRI task included 120 critical sentences \(30 per condition\) presented acoustically. Sentences ranged from 6 to 10 words in length with the code-switch occurring mid-sentence. Target nouns were balanced across lexical category, frequency, syllable length, and semantic category. All stimuli were distributed across four counterbalanced lists so that each participant saw only one version of each item and both tasks included filler sentences to reduce predictability. All sentences were in English and only code-switching conditions contained French code-switched nouns.) /Dest [17 0 R /Fit] /Parent 7 0 R /Prev 529 0 R /First 533 0 R /Last 534 0 R /Count -2 /Next 535 0 R >> endobj 532 0 obj << /Title (violations requiring extra semantic or syntactic reanalysis. This aligns with theories proposing that early bilinguals rely on a unified linguistic system, where processing costs arise from violations of expectancies or other linguistic errors rather than unique code-switching costs. \(Yacovone et al., 2021\).) /Dest [22 0 R /Fit] /Parent 7 0 R /Prev 536 0 R /Next 530 0 R >> endobj 533 0 obj << /Title (Conditions) /Dest [17 0 R /Fit] /Parent 531 0 R /Next 534 0 R >> endobj 534 0 obj << /Title (English-base sentences) /Dest [17 0 R /Fit] /Parent 531 0 R /Prev 533 0 R >> endobj 535 0 obj << /Title (Figure 1. This table shows examples of possible stimuli sentences in all conditions.) /Dest [17 0 R /Fit] /Parent 7 0 R /Prev 531 0 R /Next 537 0 R >> endobj 536 0 obj << /Title (how early and late bilinguals process unexpected code-switches in real time. Consistent with prior work showing that early bilinguals develop more integrated and automatic bilingual language networks \(Jasinska & Petitto, 2013; Perani et al., 2003\), the predicted N400 and LPC responses suggest that early bilinguals process code-switches as routine variations rather than) /Dest [21 0 R /Fit] /Parent 7 0 R /Prev 538 0 R /Next 532 0 R >> endobj 537 0 obj << /Title (Strong-fit nouns are high-frequency, everyday lexical items, weak-fit nouns are low-frequency or unexpected synonyms of the expected noun. Target nouns serve as the ERP time-locking point. Target nouns are highlighted to demonstrate where in the sentence a switch may occur. Predictability, directionality of the switch, and the four conditions are all accounted for in the table. 2.3 Procedure) /Dest [17 0 R /Fit] /Parent 7 0 R /Prev 535 0 R /Next 539 0 R >> endobj 538 0 obj << /Title (The predicted results of this study have several important implications for understanding) /Dest [21 0 R /Fit] /Parent 7 0 R /Prev 540 0 R /Next 536 0 R >> endobj 539 0 obj << /Title (Participants completed two experimental tasks: a visual ERP task and an auditory fMRI) /Dest [18 0 R /Fit] /Parent 7 0 R /Prev 537 0 R /Next 541 0 R >> endobj 540 0 obj << /Title (\(2016\), both early and late bilinguals will show activation in the left inferior frontal gyrus \(LIFG\), the anterior cingulate gyrus \(ACC\), the dorsolateral prefrontal cortex \(DLPFC\), and the basal ganglia \(especially the caudate nucleus\). The areas highlighted in blue \(LIFG, left STG and basal ganglia\) are predicted to have higher activation for early bilinguals, and the areas highlighted in red \(DSLPFC and ACC\) are predicted to have higher activation for late bilinguals. This reflects findings from Jasinska & Petitto \(2013\) and Gullifer et al. \(2018\) showing a more integrated network and stronger frontal connectivity in early bilinguals. As well as a pattern for late bilinguals that reflects a more effortful and distributed control engagement and the heightened reliance on executive-control networks \(Jasinska & Petitto, 2013; Gullifer et al., 2018\). 4. Discussion 4.1 Predicted Results in the Context of Previous Research) /Dest [21 0 R /Fit] /Parent 7 0 R /Prev 542 0 R /Next 538 0 R >> endobj 541 0 obj << /Title (task. In the ERP session, participants wore a 64-channel EEG cap and impedances were reduced before recording. Participants were seated 40 inches from a computer and were presented with sentences word-by-word. The target noun was time-locked for ERP analysis. After each sentence participants had 2000 ms to decide whether the sentence was acceptable. If the sentence is deemed unacceptable, participants had to right-click the mouse, if the sentence was acceptable, participants did nothing. In the fMRI session, participants heard naturalistic sentences recorded by a fluent English-French bilingual while lying in the scanner. Stimuli were delivered through MRI-safe headphones and the reduced number of trials accommodated scan time and participant comfort. Participants listened to each sentence and responded according to task instructions, allowing comparison of neural responses to expected and unexpected code-switches across auditory and visual modalities. 3. Measurements and Predictions 3.1 Measurements) /Dest [18 0 R /Fit] /Parent 7 0 R /Prev 539 0 R /Next 543 0 R >> endobj 542 0 obj << /Title (Figure 3. According to our predictedresults based on a study by Abutalebi & Green) /Dest [21 0 R /Fit] /Parent 7 0 R /Prev 544 0 R /Next 540 0 R >> endobj 543 0 obj << /Title (This study will collect both electrophysiological and neuroimaging measures to examine) /Dest [18 0 R /Fit] /Parent 7 0 R /Prev 541 0 R /Next 545 0 R >> endobj 544 0 obj << /Title <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> /Dest [20 0 R /Fit] /Parent 7 0 R /Prev 546 0 R /Next 542 0 R >> endobj 545 0 obj << /Title (how early and late bilinguals process unexpected code-switches in real time. The primary measurements for the ERP task include the mean amplitude and peak latency for the N400 and LPC components time-locked to the target noun. N400 amplitudes index lexical-semantic integration difficulty, while LPC reflects syntactic reanalysis and post-lexical integration. Reaction times from sentence acceptability judgments will also be recorded to assess behavioral processing speed following code-switches. For the fMRI task, functional brain activation will be measured using blood oxygenation level-dependent \(BOLD\) signal changes during each of the four conditions. Regions of interest will be focused on areas previously implicated in bilingual) /Dest [18 0 R /Fit] /Parent 7 0 R /Prev 543 0 R /Next 547 0 R >> endobj 546 0 obj << /Title (Figure 2. Predicted ERP waveforms at central-parietal sites such as Cz or Pz,) /Dest [20 0 R /Fit] /Parent 7 0 R /Prev 548 0 R /Next 544 0 R >> endobj 547 0 obj << /Title (control and sentence integration, including the left inferior frontal gyrus \(LIFG\), anterior cingulate cortex \(ACC\), dorsolateral prefrontal cortex \(DLPFC\), and left superior temporal gyrus \(STG\). 3.2 Predicted results) /Dest [19 0 R /Fit] /Parent 7 0 R /Prev 545 0 R /Next 549 0 R >> endobj 548 0 obj << /Title (bilinguals \(Jasinska & Petitto, 2013\). Late bilinguals are predicted to exhibit greater activation in the DLPFC and ACC during unexpected switches, indicating stronger engagement of conflict monitoring and executive control mechanisms \(Abutalebi & Green, 2016\). Late bilinguals may show less efficient suppression of the non-target language direction, resulting in increased bilateral or right-frontal recruitment. These predicted patterns align with previous findings showing that earlier age of acquisition supports more distributed, integrated, and efficient bilingual networks, whereas later learners rely more heavily on top-down control processes during language conflict \(Webber-fox & Neville, 1996\).) /Dest [20 0 R /Fit] /Parent 7 0 R /Prev 550 0 R /Next 546 0 R >> endobj 549 0 obj << /Title (If the processing cost that is being examined is unique to code switching, we should see larger LAN and LPC scores, as well as generally higher processing costs due to the target word being a noun. These findings would align with the study by Ng et al. \(2014\). If the processing cost observed is not unique to code switching, the results would likely resemble a study by Yacovone et al. \(2021\). In this case, we would predict higher processing costs for weak-fit words that are indicative of an unexpected linguistic error rather than a code-switching error. In both of these cases, it is predicted that early and late bilinguals will show distinct neural responses to unexpected code-switches. As suggested by Chauncey et al. \(2008\) and Litcofsky & Van Hell \(2017\), early bilinguals are predicted to display smaller N400 amplitudes and LPC amplitudes indicating more efficient lexical-semantic integration and less syntactic reanalysis when encountering a switch. Their reaction times are expected to be faster, reflecting quicker resolution of cross-linguistic interference. In contrast, late bilinguals are predicted to show larger N400 and LPC amplitudes, consistent with greater semantic mismatch detection, higher integration cost, and increased reliance on control-related processing during code-switching resolution \(Chauncey et al., 2008\).) /Dest [19 0 R /Fit] /Parent 7 0 R /Prev 547 0 R /Next 551 0 R >> endobj 550 0 obj << /Title (left-hemisphere regions associated with language \(particularly the LIFG, the ACC, and the left STG\) across all conditions. Early bilinguals are predicted to show stronger activation in left-hemisphere perisylvian language regions and right-hemisphere homologues than late) /Dest [19 0 R /Fit] /Parent 7 0 R /Prev 551 0 R /Next 548 0 R >> endobj 551 0 obj << /Title (In the fMRI task, both early and late bilinguals are expected to show activation in) /Dest [19 0 R /Fit] /Parent 7 0 R /Prev 549 0 R /Next 550 0 R >> endobj xref 0 552 0000000000 65535 f 0000000015 00000 n 0000000439 00000 n 0000000610 00000 n 0000003765 00000 n 0000003876 00000 n 0000003910 00000 n 0000003978 00000 n 0000004052 00000 n 0000000207 00000 n 0000004268 00000 n 0000004628 00000 n 0000004988 00000 n 0000005348 00000 n 0000005708 00000 n 0000006068 00000 n 0000006428 00000 n 0000006788 00000 n 0000007148 00000 n 0000007508 00000 n 0000007868 00000 n 0000008255 00000 n 0000008642 00000 n 0000009003 00000 n 0000009364 00000 n 0000009725 00000 n 0000010086 00000 n 0000010447 00000 n 0000010636 00000 n 0000011722 00000 n 0000011754 00000 n 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