Neurobiology of Language and Bilingualism

The paper introduces a multilingual fMRI corpus using the audiobook The Little Prince to study cross-linguistic differences in language processing.

The paper investigates individual differences in word meaning representation, finding that disagreement increases with word abstractness using behavioral and neuroimaging data.

The paper investigates how lexical frequency and sentence context affect brain responses to words using MEG data, finding frequency has independent effects while context influences brain signals differently.

The paper investigates the N400 ERP component as a learning signal during language comprehension by linking it to implicit memory adaptation.

This study develops a prognostic model predicting treatment response for anomia after stroke using lesion location and therapy time.

The paper shows that overlearning sentences reorganizes brain networks for speech perception, shifting activity to sensorimotor regions and reducing reliance on traditional language regions.

The paper shows that online statistical language learning correlates with reinforcement learning principles and striatal activity in two cohorts.

The paper investigates how conceptual categories are represented in the brain by integrating sensorimotor and distributional semantics, finding that combined semantic vectors best explain activation patterns in specific brain regions.

The paper examines how proficiency and age of acquisition influence language representation in bilinguals using representational similarity analysis.

This study examines how post-stroke bypasses in brain networks predict variance in language functions, finding that bypass length and overlap predict lexical production and auditory comprehension.

The paper examines how preparatory delta phase responses correlate with speech comprehension performance using EEG data from naturalistic speech tasks.

This study uses magnetoencephalography to investigate how the brain processes semantic combinations in language, identifying specific brain regions involved in thematic and feature-based meaning integration.

The paper examines how task demands affect neural correlates of acoustic and semantic processing in noisy listening conditions, finding no correlation between acoustic tracking and semantic processing.

This paper tests the perilesional neuroplastic recruitment hypothesis in aphasia using fMRI tasks and finds no evidence for increased activity in perilesional tissue during recovery.

This paper investigates cumulative semantic interference in joint language production using EEG, finding no electrophysiological evidence of simulated lexical access on behalf of a partner.

The paper investigates multiple functional dimensions organizing the language network using meta-analyses, finding distinct roles for semantic/phonological domains and representation/control processes.

This study meta-analyzes fMRI data from children to identify brain regions involved in semantic processing and finds similar patterns to adults with little age-related change.

The paper investigates the fronto-temporo-parietal language network across 45 languages, finding its topography and functional properties are robust to cross-linguistic variation.

This study investigates automatic lexical access in bilinguals using EEG, finding that neural responses to words are influenced by language exposure and word-likeness, with bilinguals showing reduced responses to pseudo-words from their native language.

This study uses fMRI to compare neural activity during native and non-native speech production in bilinguals, finding increased activation for non-native sounds.

The paper demonstrates the feasibility of co-registering eye tracking with combined EEG and MEG to study natural reading by analyzing brain responses to sentence-final words.

This study uses MEG data to test two Bayesian models of spoken word recognition, finding support for predictive-selection theories over competitive-selection theories.

This study uses MEG to analyze spectro-temporal neural dynamics during sentence completion, identifying distinct oscillatory patterns and their spatial characteristics.

The paper investigates real-time error correction in language processing using ERP components, finding that noise-related semantic violations elicit reduced N400 and increased P600 effects.

The paper compares word computation mechanisms using fMRI data to determine which models best explain neural activity patterns related to language processing.

The paper compares semantic dissimilarities of words derived from brain models and human behavior, finding a significant correlation that supports the validity of word vector-based semantic representations in the brain.

This study investigates how svPPA patients process semantic tasks, finding increased perceptual processing and altered brain network engagement compared to healthy controls.

The paper investigates neural responses to narrative and argumentative texts using fMRI, finding shared and distinct brain network activations.

The paper uses MEG to distinguish neural activity for semantic composition and association in the left temporal lobe, finding distinct roles for anterior and middle temporal regions.

The paper investigates whether sub-lexical phoneme combinatorics are represented in high-level language brain regions using fMRI experiments with nonwords.