Cross-Linguistic Transfer (CLT) in Bilingual Speakers : Neural Correlates of Language Learning

Le but de cette thèse est d'étudier les corrélats comportementaux et neuronaux du transfert inter-linguistique (TIL) dans l'apprentissage d’une langue seconde (L2). Compte tenu de nos connaissances sur l'influence de la distance linguistique sur le TIL (Paradis, 1987, 2004; Odlin, 1989, 2004, 2005; Gollan, 2005; Ringbom, 2007), nous avons examiné l'effet de facilitation de la similarité phonologique à l’aide de la résonance magnétique fonctionnelle entre des langues linguistiquement proches (espagnol-français) et des langues linguistiquement éloignées (persan-français). L'étude I rapporte les résultats obtenus pour des langues linguistiquement proches (espagnol-français), alors que l'étude II porte sur des langues linguistiquement éloignées (persan-français). Puis, les changements de connectivité fonctionnelle dans le réseau langagier (Price, 2010) et dans le réseau de contrôle supplémentaire impliqué dans le traitement d’une langue seconde (Abutalebi & Green, 2007) lors de l’apprentissage d’une langue linguistiquement éloignée (persan-français) sont rapportés dans l’étude III. Les résultats des analyses d’IRMF suivant le modèle linéaire général chez les bilingues de langues linguistiquement proches (français-espagnol) montrent que le traitement des mots phonologiquement similaires dans les deux langues (cognates et clangs) compte sur un réseau neuronal partagé par la langue maternelle (L1) et la L2, tandis que le traitement des mots phonologiquement éloignés (non-clang-non-cognates) active des structures impliquées dans le traitement de la mémoire de travail et d'attention. Toutefois, chez les personnes bilingues de L1-L2 linguistiquement éloignées (français-persan), même les mots phonologiquement similaires à travers les langues (cognates et clangs) activent des régions connues pour être impliquées dans l'attention et le contrôle cognitif. Par ailleurs, les mots phonologiquement éloignés (non-clang-non-cognates) activent des régions usuellement associées à la mémoire de travail et aux fonctions exécutives. Ainsi, le facteur de distance inter-linguistique entre L1 et L2 module la charge cognitive sur la base du degré de similarité phonologiques entres les items en L1 et L2. Des structures soutenant les processus impliqués dans le traitement exécutif sont recrutées afin de compenser pour des demandes cognitives. Lorsque la compétence linguistique en L2 augmente et que les tâches linguistiques exigent ainsi moins d’effort, la demande pour les ressources cognitives diminue. Tel que déjà rapporté (Majerus, et al, 2008; Prat, et al, 2007; Veroude, et al, 2010; Dodel, et al, 2005; Coynel, et al ., 2009), les résultats des analyses de connectivité fonctionnelle montrent qu’après l’entraînement la valeur d'intégration (connectivité fonctionnelle) diminue puisqu’il y a moins de circulation du flux d'information. Les résultats de cette recherche contribuent à une meilleure compréhension des aspects neurocognitifs et de plasticité cérébrale du TIL ainsi que l'impact de la distance linguistique dans l'apprentissage des langues. Ces résultats ont des implications dans les stratégies d'apprentissage d’une L2, les méthodes d’enseignement d’une L2 ainsi que le développement d'approches thérapeutiques chez des patients bilingues qui souffrent de troubles langagiers.The purpose of this thesis was to study the behavioral and neural correlates of Cross-linguistic Transfer effects (CLT) at the word level, in second language learning. Moreover, given that language distance has an impact on CLT, (Paradis, 1987, 2004, Odlin, 1989, 2004, 2005, Gollan, 2005, Ringbom, 2007), two distinct language pairs were examined: Close language pairs (Spanish-French) and distant language pairs (Persian-French). This thesis comprises three studies. In study I, Spanish speakers and in study II Persian speakers were trained for lexical learning until consolidation level. Cognates (phonologically and semantically similar words), Clangs (phonologically similar words with different meanings), and Non-cognate-non-clangs (semantically similar words), were presented in a picture naming task. Accuracy rates and response times as well as event-related fMRI BOLD responses to each word category were measured. Simple and direct contrasts with phonologically similar and phonologically distant words were performed. Thus, Study I reports the results of close languages (Spanish-French) and Study II, reports the results of distant languages (Persian-French). The neurocognitive processing of language learning was further investigated in terms of networks using functional connectivity analysis in distant languages (Persian-French) and the results are reported in Study III. The Results with the General Linear Model analysis show that with close language pairs (French-Spanish), the processing of phonologically similar words (cognates and clangs) relies upon a shared L1-L2 language specific neural areas, whereas processing of phonologically distant words (non-clang-non-cognates), activates L1 language processing areas, but also relies upon working memory, attentional, and processing structures. However, with distant language pairs (French-Persian), even phonologically similar words (cognates and clangs) activate areas known to be involved in attentional processing and cognitive control. Moreover, phonologically distant words (non-clang-non-cognates) also activate areas involved in working memory and executive function processing structures. Thus, the factor of L1-L2 cross-linguistic distance appears to modulate the executive load imposed to the system, on the basis of the degree of phonological overlap between L1-L2 items; thus in order to compensate for more effortful processing demands, the system recruits executive function supporting structures. The results of the connectivity analysis show that, in line with literature (Majerus, et al., 2008; Prat, et al., 2007; Veroude, et al., 2010; Dodel, et al., 2005; Coynel, et al., 2009), when the language proficiency is low, there is enhanced functional connectivity between and within language specific and other cognitive processing (working memory, attentional and cognitive control) networks. However, as proficiency increases, integration values (functional connectivity) decrease. This reflects that language tasks become less effortful and demand less cognitive resources. The results of this dissertation contribute to a better understanding of CLT effects on L2 learning, both in regards to different word types and L1-L2 language distance. These results have implications with regards to L2 learning and teaching strategies and approaches as well as with regards to the development of data-driven therapy approaches in the case of language break down in bilingual population

Second Language Word Learning through Repetition and Imitation: Functional Networks as a Function of Learning Phase and Language Distance

Introduction and Aim: Repetition and imitation are among the oldest second language (L2) teaching approaches and are frequently used in the context of L2 learning and language therapy, despite some heavy criticism. Current neuroimaging techniques allow the neural mechanisms underlying repetition and imitation to be examined. This fMRI study examines the influence of verbal repetition and imitation on network configuration. Integration changes within and between the cognitive control and language networks were studied, in a pair of linguistically close languages (Spanish and French), and compared to our previous work on a distant language pair (Ghazi-Saidi et al., 2013).Methods: Twelve healthy native Spanish-speaking (L1) adults, and 12 healthy native Persian-speaking adults learned 130 new French (L2) words, through a computerized audiovisual repetition and imitation program. The program presented colored photos of objects. Participants were instructed to look at each photo and pronounce its name as closely as possible to the native template (imitate). Repetition was encouraged as many times as necessary to learn the object’s name; phonological cues were provided if necessary. Participants practiced for 15 min, over 30 days, and were tested while naming the same items during fMRI scanning, at week 1 (shallow learning phase) and week 4 (consolidation phase) of training. To compare this set of data with our previous work on Persian speakers, a similar data analysis plan including accuracy rates (AR), response times (RT), and functional integration values for the language and cognitive control network at each measure point was included, with further L1-L2 direct comparisons across the two populations.Results and Discussion: The evidence shows that learning L2 words through repetition induces neuroplasticity at the network level. Specifically, L2 word learners showed increased network integration after 3 weeks of training, with both close and distant language pairs. Moreover, higher network integration was observed in the learners with the close language pair, suggesting that repetition effects on network configuration vary as a function of task complexity

Interference control at the response level: Functional networks reveal higher efficiency in the bilingual brain

RÉSUMÉ: The bilingual advantage in interference control tasks has been studied with the Simon task, among others. The mixed evidence from the existing studies has led to contradictions in the literature regarding the bilingual advantage. Moreover, fMRI evidence on the neural basis of interference control mechanisms with the Simon task is limited. Previous work by our team showed that equivalent performance on the Simon task was associated with different activation maps in elderly bilinguals and monolinguals. This study aims to pro- vide a more in-depth perspective on the neural bases of performance on the Simon task in elderly bilinguals and monolinguals, by adopting a network perspective for the functional connectivity analysis. A node-by-node analysis led to the identification of the specific topology that characterized the bilingual and monolingual functional networks and the degree of connectivity between each node across groups. Results showed greater con- nectivity in bilinguals in the inferior temporal sulcus, which plays a role in visuospatial processing. On the other hand, in monolinguals, brain areas involved in visual, motor, executive functions and interference control were more connected to resolve the same task. In other words, in comparison to the monolingual brain, the bilingual brain resolves visuospatial interference economically, by allocating fewer and more clustered regions. These results demonstrate a larger global efficiency in task performance in bilinguals as compared to monolinguals. Also, the provided evidence filters out the task-specific so- called bilingual advantage discussed in the literature and posits that bilinguals are stra- tegically more efficient in a given performance than monolinguals, thus enhancing our understanding of successful aging

A Network Analysis Approach to fMRI Condition-Specific Functional Connectivity

In this work we focus on examination and comparison of whole-brain functional connectivity patterns measured with fMRI across experimental conditions. Direct examination and comparison of condition-specific matrices is challenging due to the large number of elements in a connectivity matrix. We present a framework that uses network analysis to describe condition-specific functional connectivity. Treating the brain as a complex system in terms of a network, we extract the most relevant connectivity information by partitioning each network into clusters representing functionally connected brain regions. Extracted clusters are used as features for predicting experimental condition in a new data set. The approach is illustrated on fMRI data examining functional connectivity patterns during processing of abstract and concrete concepts. Topological (brain regions) and functional (level of connectivity and information flow) systematic differences in the ROI-based functional networks were identified across participants for concrete and abstract concepts. These differences were sufficient for classification of previously unseen connectivity matrices as abstract or concrete based on training data derived from other people

Can a Second Language Help You in More Ways Than One?

In response to the review article written by Paap et al. [1], we will examine the reasons why one would expect some behavioral and cognitive advantages of bilingualism. Then we will explain why such advantages may not be apparent in certain experiments. We will conclude that bilingualism is a skill that can entail neuroplastic changes, thus improving cognitive load processing abilities. However, the extent to which bilingualism may or may not lead to cognitive advantages or disadvantages relates to several factors. Finally, we argue that the optimal approach in studying the potential cognitive advantages of bilingualism is to link behavior to brain function, as a given behavior may be subserved by different neural mechanisms in bilingual and monolingual populations, reflecting distinct processing strategies

Biomarkers of Cognitive Impairment: Brain Cortical Thickness, Volumetrics, and Cerebrospinal Fluid

Brain changes related to Alzheimer’s disease (AD) exist years before manifestation of any cognitive decline.1 Mild cognitive impairment (MCI) is impairment in cognition with preserved independence and functional abilities. MCI is considered a risk factor for dementia, however, not all MCI conditions are due to AD pathology. Although ultimate diagnosis of AD is made at autopsy,2 more accurate in vivo diagnosis can be achieved by combining biomarkers in combination with clinical tests and history.3 Understanding how combinations of biomarkers improve diagnosis and assessment of the impact of novel therapeutics is important. Proteins such as τ, Aβ1-42, Pτ181P, which are aggregated as neurofibrillary tangles and amyloid plaques and are also present in the cerebrospinal fluid (CSF), are considered as AD biomarkers.4 Decreased levels of CSF Aβ42 and increased levels of τ and phosphorylated τ (p-τ) are considered biomarkers indicating underlying AD pathology.5 Moreover, AD is associated with changes in brain structure, including changes to cortical thickness (CT) and cortical and subcortical volumes.6 Specifically, reduced volume of hippocampus is accepted as an AD biomarker.5 Although CSF and imaging biomarkers are frequently analyzed in isolation, the current study uses a well-characterized data set to test the utility of biomarkers both in isolation and in combination, in a large population, and a unique statistical approach. The aims are to (1) differentiate groups including AD, MCI, and healthy participants with normal cognitive status (NCS) and (2) assess relationship of imaging (CT and V) and fluid biomarker (CSF) with cognition