Neurobiology of Language and Bilingualism

This study investigates how task domain, cognitive challenge, and tDCS modulate activity in the left inferior frontal cortex using fMRI and neuromodulation data.

The paper uses intracranial recordings to create a spatiotemporal atlas of language-dominant cortex and identifies discrete neural states during speech production.

This study examines how age and education affect verbal fluency and its neural correlates using behavioral and fMRI data from healthy adults.

The paper introduces a benchmark dataset of fMRI data from human subjects listening to naturalistic stories for evaluating language and narrative comprehension models.

The paper examines verbal fluency in bilinguals using semantic and temporal clustering methods, finding greater word production and recall capacity in Russian compared to English.

In nine epilepsy patients, cortical activity carries next-word information up to 800 ms before onset, tracks GPT-2 surprise after onset, and fits GPT-2 contextual embeddings better than static ones.

This study uses fMRI to show that the right posterior cerebellum is involved in internal speech error monitoring before articulation and external monitoring during speech production.

This study uses fMRI and MEG to identify neural activity patterns during pronoun processing and evaluates symbolic and deep learning models to understand referential processing mechanisms.

The paper compares short and long language batteries for stroke aphasia, develops a data-reduced version, and identifies neural correlates of language deficits.

This study examines predictive coding in speech comprehension using EEG data from audiobook listening, showing prediction and error signals co-exist in electrophysiological responses to natural speech.

The paper identifies neural markers in auditory cortex and dorsal precentral gyrus during delayed auditory feedback, showing their role in speech error detection and correction.

This paper develops interpretable multi-timescale models to predict fMRI responses to natural speech, revealing how different brain regions encode information at varying temporal scales.

This study finds bilinguals show less performance decline under high cognitive load compared to monolinguals, supporting the bilingual advantage in demanding tasks.

The study shows that the language network is involved but not essential for processing non-verbal event semantics using fMRI and aphasia patient comparisons.

This study compares semantic representations in neural and computational systems using EEG and finds significant correlations between model outputs and early semantic processing.

This study shows delta-band cortical activity tracks word rhythm during natural speech comprehension, but not the acoustic envelope, and this tracking diminishes when attention is diverted.

The paper investigates how extralinguistic gender cues affect neural sentence processing using ERP data from Russian pronoun-verb phrases.

The paper identifies individual differences in neural substrates for statistical word form learning using fMRI and shows that a fronto-parietal network selectively enhances performance.

In 3,600 transformer checkpoints compared with fMRI and MEG of 102 readers, middle layers best predict brain activity and grow more brain-like as word-prediction accuracy improves; input embeddings diverge.

The paper examines how individual differences in connectivity between left and right anterior temporal lobes relate to performance in semantic categorization tasks involving different categories and modalities.

The paper investigates how neural representations of nouns and verbs change during sentence reading using MEG, finding varying influences and lasting decodability of word information.

This study uses MEG and computational language models to show that brain activity in specific regions correlates with contextualized vs. non-contextualized word embeddings during language comprehension.

This study investigates whether fMRI can reveal brain representations of syntactic structure by modeling brain activity using syntactic features from natural text.

This study investigates the role of frontal and auditory cortices in vocal motor control using direct electrical stimulation in patients, showing distinct contributions of these regions to vocal initiation and feedback-dependent control.

The paper investigates how abstract and concrete knowledge is organized and retrieved in the anterior temporal lobe, finding that a dorsal-to-medial gradient emerges late in word processing with semantic information converging in the ATL.

The paper identifies two overlapping functional connectivity gradients in the anterior temporal lobe that predict distinct aspects of semantic cognition.

This study shows that family cultural background influences brain processing of a spoken narrative, with shared background increasing neural similarity across multiple levels of language processing.

This study tests neural models of repetition suppression and long-term priming using fMRI, finding strongest support for the Synchrony model with increased inter-regional coupling for repeated objects.

This study investigates how auditory attention affects rhythmic speech entrainment at word and sentence levels using EEG data from 72 participants.

The paper investigates whether neural rhythms reflect internal syntactic processes by analyzing EEG and behavioral data from participants listening to grammatical and ungrammatical sentences.