Neurobiology of Language and Bilingualism

This study investigates how prior scene context modulates semantic object processing using EEG and computational modeling, finding that incongruent objects have prolonged semantic integration.

This study investigates semantic integration in the human brain using intracranial recordings, identifying specific brain regions and their roles in semantic processing and conflict resolution.

The paper examines how noise affects neural tracking of acoustic and semantic speech features during naturalistic speech comprehension, finding that semantic processing leads and is linked to comprehension performance.

The paper investigates whether context integration and update during language and semantic processing involve domain-specific or domain-general neural mechanisms using fMRI.

The paper investigates sub-lexical and lexical-semantic processing of verbs using fMRI, finding distinct neural pathways for concrete-motor and abstract-mental verbs.

This study investigates how bilingualism contributes to cognitive reserve by examining structural and functional brain differences in older adults.

The paper compares the morphology of Broca's areas between humans and chimpanzees, finding human-specific expansion in BA44 associated with syntax.

The paper provides a natural language fMRI dataset with BOLD responses and tools for voxelwise encoding models to study language comprehension.

The paper investigates how conceptual representations in brain networks are modulated by task and modality, finding they are task-dependent and cross-modal.

This study uses BERT to model incremental speech comprehension and finds that coherent interpretations emerge through the integration of linguistic and non-linguistic constraints in bilateral brain regions.

The paper investigates the role of bilateral laryngeal motor cortex in speech perception using transcranial magnetic stimulation and psychometric models, finding left-lateralized engagement with right upregulation in noise.

The paper uses a convolutional neural network to analyze EEG data and shows it better captures linguistic speech features than linear models.

The paper investigates neural codes for discourse meaning during production and comprehension, finding a shared semantic network with bilateral activation.

The paper tests the hypothesis that language aids in feature-based categorization but finds no evidence supporting this role in individuals with aphasia or healthy adults using fMRI.

This study maps brain connectivity during continuous speaking and listening using MEG, revealing shared and dissociated neural substrates in different frequency bands.

This study shows that lexical semantic content, not syntax, drives similarity between ANN language model representations and fMRI brain responses in the language network.

This study investigates neural tracking of speech comprehension by comparing comprehensible and incomprehensible stories and a word list, finding that language tracking, not acoustic tracking, reflects speech comprehension.

This study investigates how acoustic and linguistic features are encoded during speech comprehension, finding that phoneme-level features are tracked more strongly in a comprehended language and that word entropy influences this encoding.

This study investigates neural representations of speech content and production using MEG, finding dissociable patterns in the left hemisphere with dynamic production signals and stable content signals.

The paper investigates how neural representations of sentences evolve, finding that meaningful sentences have higher dimensionality and specific dynamic patterns in both human brains and deep language models.

This study investigates how varying levels of background masking affect neural tracking of acoustic and semantic features during speech listening, finding U-shaped amplitude responses for acoustic features and robust semantic tracking even under severe masking.

The paper investigates how early-life language deprivation affects neural mechanisms of semantic representations using fMRI in early deaf adults compared to sign language-acquiring controls.

This study identifies domain-specific and domain-general functional networks of Broca's area using meta-analytic connectivity modeling, showing left-lateralized frontotemporal networks for language and frontoparietal networks for general tasks.

The paper investigates how processing stress in a foreign language affects brain networks, finding that French speakers show stronger attention system activation and Default Mode Network deactivation compared to German speakers.

The paper identifies neural synchronization patterns in second language processing that correlate with proficiency levels, showing high proficiency resembles native speakers and low proficiency shows more perceptual and semantic synchronization.

The paper examines how individual differences in bilingual experience affect neural mechanisms of cognitive control and behavioral outcomes using EEG data from 239 participants.

The paper uses event-related causality from SEEG recordings to distinguish neural processing of verb and noun phrases during syntactic analysis.

The paper models sex differences in white matter substrates of aphasia using Bayesian analysis in 1,401 stroke patients, identifying sex-specific lesion effects in language networks.

This study shows that uncertainty aversion leads to more differentiated semantic representations, reflected in neural activity patterns and behavioral outcomes.

This study shows that context significantly affects the quality of neuroimaging data and the representation of semantic information in the brain during language comprehension.