Neurobiology of Language and Bilingualism

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.

The paper uses neural decoding and effective connectivity analysis to identify bilateral posterior temporal cortex as the site of phonological wordform representation, distinct from phonemic or semantic representations.

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

The paper investigates the role of the reward system during natural story comprehension and finds that reward areas are activated and related to sentence predictability.

The paper examines neural activity during conversational production and comprehension using fMRI, finding distinct patterns in frontal and temporal regions that align with but differ from the Broca-Wernicke model.

This study identifies delta band oscillations in post-stroke aphasia patients during naming tasks, suggesting a cortical adaptation mechanism that may inform non-invasive brain stimulation rehabilitation.

This study uses 7T fMRI to compare brain activity during speech production and perceptual categorization, finding that left motor networks are involved in both tasks.

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.

The paper investigates the relationship between prediction tendencies, eye movements, and neural speech tracking, proposing a unified framework for understanding speech processing.

The paper uses a deep speech-to-text model to predict neural responses during spontaneous conversations, revealing a distributed cortical hierarchy for speech and language processing.

The paper investigates the temporal dynamics of abstract and concrete semantic representations using MEG, finding early frontotemporal activation for both and later occipito-temporal responses to concrete features.

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 investigates age-related changes in neural processing of semantics using fMRI, finding compensatory activation in right IFG and shifts in network engagement in older adults.

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.

This study examines spatiotemporal cortical dynamics during language production in individuals with aphasia and healthy controls, finding differences in traveling wave patterns and synchronization.

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 shows that delta-band neural activity is reinstated during pronoun resolution, supporting the idea that referential meaning is represented through dynamic neural patterns.

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.