Brain dynamics sustaining rapid rule extraction from speech

Language acquisition is a complex process that requires the synergic involvement of different cognitive functions, which include extracting and storing the words of the language and their embedded rules for progressive acquisition of grammatical information. As has been shown in other fields that study learning processes, synchronization mechanisms between neuronal assemblies might have a key role during language learning. In particular, studying these dynamics may help uncover whether different oscillatory patterns sustain more item-based learning of words and rule-based learning from speech input. Therefore, we tracked the modulation of oscillatory neural activity during the initial exposure to an artificial language, which contained embedded rules. We analyzed both spectral power variations, as a measure of local neuronal ensemble synchronization, as well as phase coherence patterns, as an index of the long-range coordination of these local groups of neurons. Synchronized activity in the gamma band (2040 Hz), previously reported to be related to the engagement of selective attention, showed a clear dissociation of local power and phase coherence between distant regions. In this frequency range, local synchrony characterized the subjects who were focused on word identification and was accompanied by increased coherence in the theta band (48 Hz). Only those subjects who were able to learn the embedded rules showed increased gamma band phase coherence between frontal, temporal, and parietal regions

Possible neural oscillatory mechanisms underlying learning

In response to Voelker et al. (this issue), we argue for a wide array of neural oscillatory mechanisms underlying learning and practice. While the authors propose frontal theta power as the basis for learning-induced neuro- plasticity, we believe that the temporal dynamics of other frequency bands, together with their synchroni- zation properties can offer a fuller account of the neu- rophysiological changes occurring in the brain during cognitive tasks.Theoretical and Experimental Linguistic

Interhemispheric and Intrahemispheric Connectivity From the Left Pars Opercularis Within the Language Network Is Modulated by Transcranial Stimulation in Healthy Subjects

Neural activity related to language can be modulated within widespread networks following learning or in response to disruption-including the experimental application of noninvasive brain stimulation. However, the spatiotemporal characteristics of such modulation remain insufficiently explored. The present study combined transcranial magnetic stimulation (TMS) and electroencephalography (EEG) to explore the modulation of activity across the language network following continuous theta-burst stimulation (cTBS) of the left pars opercularis. In 10 healthy subjects (21 ± 2 years old, four females), neuronavigated cTBS was delivered over the left pars opercularis of the frontal operculum (part of the traditional Broca's area) at 80% of active motor threshold (AMT) stimulation intensity. Real cTBS and sham cTBS were performed in two different visits separated by at least 48 h. Before, immediately, and 10 min after cTBS, 30 single pulses of TMS were delivered to the left pars opercularis at 80% of the resting motor threshold (RMT), whereas EEG was simultaneously recorded. We examined the cTBS-induced modulation of phase locking values (PLVs) between the TMS-evoked potentials (TEPs) recorded over the pars opercularis and those recorded over its right-hemispheric homolog area, the left supramarginal area, and the left superior temporal area in different EEG frequency bands and different time windows following cTBS. cTBS to the left pars opercularis induced within the gamma band: (1) a significant increase in TEP phase synchronization between the left and right pars opercularis at an early time window (250-350 ms) following cTBS; and (2) significantly increased PLV with the left supramarginal area and the left superior temporal area at a later time window (600-700 ms). In the theta and delta band, cTBS to the left pars opercularis induced significantly increased phase synchronization of TEPs between the left pars opercularis and the posterior left hemispheric language areas at a late time window. In sham condition, there was a significant decrease in TEP phase synchronization of the high beta band between left pars opercularis and left superior temporal area at 200-300 ms. These results contribute to characterize the dynamics of the language network and may have implications in the development of noninvasive stimulation protocols to promote the language rehabilitation in aphasia patients

Theta Coherence Asymmetry In The Dorsal Stream Of Musicians Facilitates Word Learning

Word learning constitutes a human faculty which is dependent upon two anatomically distinct processing streams projecting from posterior superior temporal (pST) and inferior parietal (IP) brain regions toward the prefrontal cortex (dorsal stream) and the temporal pole (ventral stream). The ventral stream is involved in mapping sensory and phonological information onto lexical-semantic representations, whereas the dorsal stream contributes to sound-to-motor mapping, articulation, complex sequencing in the verbal domain, and to how verbal information is encoded, stored, and rehearsed from memory. In the present source-based EEG study, we evaluated functional connectivity between the IP lobe and Broca's area while musicians and non-musicians learned pseudowords presented in the form of concatenated auditory streams. Behavioral results demonstrated that musicians outperformed non-musicians, as reflected by a higher sensitivity index (d'). This behavioral superiority was paralleled by increased left-hemispheric theta coherence in the dorsal stream, whereas non-musicians showed stronger functional connectivity in the right hemisphere. Since no between-group differences were observed in a passive listening control condition nor during rest, results point to a task-specific intertwining between musical expertise, functional connectivity, and word learning

Brain changes associated with language development and learning: A primer on methodology and applications

Brain plasticity associated with second language acquisition and learning has been a focus of research in the past two decades. Recent research on cognitive neuroscience has enriched current understanding on the neurological underpinning of second language learning. Beyond behavioral findings, examining brain functions and structures provides a biological explanation of how language acquisition (as a natural experience) and learning (as an active skill and knowledge acquisition process) shapes the human brain. Together, combining cognitive neuroscience methods and second language acquisition and learning has offered an opportunity for cross-disciplinary collaboration. To facilitate cross-disciplinary understanding and potential research collaboration, this review paper aims to provide an overview of the major cognitive neuroscience methodologies adopted to study second language acquisition and learning. A selection of empirical studies covers second language acquisition in developing children, bilingualism as a naturally-occurring experience, and short-term second language learning in laboratory settings. Brain structural (diffusion tensor imaging, DTI; and voxel-based morphometry, VBM) and functional (electroencephalography, EEG; and event-related potentials, EPRs) methods are briefly discussed with suggested further readings. The paper ends with future directions using these methodologies to explore brain changes in response to second language teaching and learning experience

Neural oscillatory mechanisms during novel grammar learning underlying language analytical abilities

The goal of the present study was to investigate the initial phases of novel grammar learning on a neural level, concentrating on mechanisms responsible for individual variability between learners. Two groups of participants, one with high and one with average language analytical abilities, performed an Artificial Grammar Learning (AGL) task consisting of learning and test phases. During the task, EEG signals from 32 cap-mounted electrodes were recorded and epochs corresponding to the learning phases were analysed. We investigated spectral power modulations over time, and functional connectivity patterns by means of a bivariate, frequency-specific index of phase synchronization termed Phase Locking Value (PLV). Behavioural data showed learning effects in both groups, with a steeper learning curve and higher ultimate attainment for the highly skilled learners. Moreover, we established that cortical connectivity patterns and profiles of spectral power modulations over time differentiated L2 learners with various levels of language analytical abilities. Over the course of the task, the learning process seemed to be driven by whole-brain functional connectivity between neuronal assemblies achieved by means of communication in the beta band frequency. On a shorter time-scale, increasing proficiency on the AGL task appeared to be supported by stronger local synchronisation within the right hemisphere regions. Finally, we observed that the highly skilled learners might have exerted less mental effort, or reduced attention for the task at hand once the learning was achieved, as evidenced by the higher alpha band power.Theoretical and Experimental Linguistic

Brain dynamics sustaining rapid rule extraction from speech

Language acquisition is a complex process that requires the synergic involvement of different cognitive functions, which include extracting and storing the words of the language and their embedded rules for progressive acquisition of grammatical information. As has been shown in other fields that study learning processes, synchronization mechanisms between neuronal assemblies might have a key role during language learning. In particular, studying these dynamics may help uncover whether different oscillatory patterns sustain more item-based learning of words and rule-based learning from speech input. Therefore, we tracked the modulation of oscillatory neural activity during the initial exposure to an artificial language, which contained embedded rules. We analyzed both spectral power variations, as a measure of local neuronal ensemble synchronization, as well as phase coherence patterns, as an index of the long-range coordination of these local groups of neurons. Synchronized activity in the gamma band (2040 Hz), previously reported to be related to the engagement of selective attention, showed a clear dissociation of local power and phase coherence between distant regions. In this frequency range, local synchrony characterized the subjects who were focused on word identification and was accompanied by increased coherence in the theta band (48 Hz). Only those subjects who were able to learn the embedded rules showed increased gamma band phase coherence between frontal, temporal, and parietal regions

Apprentissage implicite des structures linguistiques et musicales (approche multi-méthodologique)

Les objectifs de cette thèse sont multiples. Le premier objectif est de comparer, aux niveaux comportemental et électrophysiologique, l'apprentissage implicite de structures linguistiques et musicales après l'écoute d'un langage artificiel chanté. Alors qu'au niveau comportemental, seule la structure linguistique semble être apprise, les résultats électrophysiologiques révèlent un effet N400 pour les deux dimensions, linguistique et musicale. Le deuxième objectif de cette thèse est d'évaluer comment cet apprentissage est influencé par l'expertise musicale. Nous avons comparé un groupe d'adultes musiciens à un groupe de non musiciens. Alors qu'au niveau comportemental les musiciens sont à peine meilleurs que les non musiciens dans les deux dimensions, les données électrophysiologiques révèlent, via des différences précoces (N1/P2) et tardives (N400), une meilleure segmentation chez les musiciens. De plus, les analyses en potentiels évoqués et en temps-fréquences des données électrophysiologiques enregistrées pendant les phases d'apprentissage révèlent que les musiciens apprennent plus rapidement que les non musiciens. Cependant, un lien de causalité quant aux effets de l'apprentissage de la musique ne peut être mis en évidence qu'en réalisant une étude longitudinale. Nous avons mené une telle étude chez des enfants de 8 ans à qui l'on a fait suivre un apprentissage de la musique ou de la peinture pendant 2 années. Les résultats comportementaux et électrophysiologiques révèlent un large bénéfice de l'apprentissage musical comparé à celui de la peinture démontrant l'importance de la musique dans l'éducation des enfants.The aims of the present thesis were two-folded. Firstly, we wanted to compare behavioral and electrophysiological measures related to the implicit learning of linguistic and musical structures contained within an artificial sung language. While behavioral measures suggest that only the linguistic structure was learned, electrophysiological data revealed similar N400 effects in both linguistic and musical dimensions, suggesting that participants did also learn the musical structure. The second goal was to evaluate to what extent musical expertise can affect speech segmentation. At this aim, we compared a group of adult musicians to a group of nonmusicians. While behavioral data showed that musicians had marginally better performance than non musicians in both dimensions, electrophysiological data revealed, via early (N1/P2) and late (N400) differences, a better speech segmentation in musicians than in non musicians. Moreover, event-related potentials and time-frequency analyzes during learning revealed a faster and more efficient learning process in musicians. However, the only way to unambiguously claim causality between expertise and the observed effects requires a longitudinal approach. At this aim, we conducted a study with 8 year-old children who followed either music or painting lessons over a period of 2 years. Behavioral and electrophysiological data revealed a larger benefit of musical compared to painting training, bringing evidences for the importance of music in childrens' education.AIX-MARSEILLE2-Bib.electronique (130559901) / SudocSudocFranceF

Brain dynamics sustaining rapid rule extraction from speech

Language acquisition is a complex process that requires the synergic involvement of different cognitive functions, which include extracting and storing the words of the language and their embedded rules for progressive acquisition of grammatical information. As has been shown in other fields that study learning processes, synchronization mechanisms between neuronal assemblies might have a key role during language learning. In particular, studying these dynamics may help uncover whether different oscillatory patterns sustain more item-based learning of words and rule-based learning from speech input. Therefore, we tracked the modulation of oscillatory neural activity during the initial exposure to an artificial language, which contained embedded rules. We analyzed both spectral power variations, as a measure of local neuronal ensemble synchronization, as well as phase coherence patterns, as an index of the long-range coordination of these local groups of neurons. Synchronized activity in the gamma band (2040 Hz), previously reported to be related to the engagement of selective attention, showed a clear dissociation of local power and phase coherence between distant regions. In this frequency range, local synchrony characterized the subjects who were focused on word identification and was accompanied by increased coherence in the theta band (48 Hz). Only those subjects who were able to learn the embedded rules showed increased gamma band phase coherence between frontal, temporal, and parietal regions