Neurobiology of Language and Bilingualism

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 study shows that short-term and long-term structural priming are supported by different non-declarative memory components, with age-related changes observed in long-term priming and conceptual memory.

The paper shows that after statistical learning, goal-directed attention in the left parietal lobe enables rule generalization in language learning.

The paper investigates how neural oscillations reflect linguistic content beyond acoustic and rhythmic features during speech comprehension.

The paper investigates how semantic richness and density affect language production through behavioral and electrophysiological measures, finding facilitatory and inhibitory effects respectively.

This study examines how individual differences in hearing and cognition affect sentence processing in older adults, finding distinct roles for hearing thresholds, working memory, and individual alpha frequency in predicting neural responses to grammatical structures.

The paper shows that alpha and beta desynchronizations occur during prediction in both language comprehension and production tasks, indicating shared neural mechanisms.

This paper revisits semantic control using improved analysis and additional data, finding a left-focused network without parietal involvement.

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 compares brain activity during spoken word recognition in young and older adults using fMRI, finding similar patterns but reduced auditory cortex activity in older adults.

The paper investigates how neural networks adapt to speech predictability and intelligibility, showing increased activation in semantic regions and changes in effective connectivity during challenging listening conditions.

This study identifies the precuneus as a key brain region involved in time perception, showing it activates more strongly for present tense sentences across three languages with different tense systems.

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

This study investigates rapid cortical plasticity in human adults during active associative learning of novel words, finding immediate changes in cortical responses to meaningful pseudowords.

The paper introduces MULTIMAP, a multilingual picture naming test for language mapping during awake brain surgery, addressing cross-linguistic variability in existing tests.

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

The paper investigates hierarchical semantic expectations in language comprehension using EEG, finding early ERP effects reflecting local prediction errors and later signals related to global context and conscious access.

This study identifies distinct brain networks associated with color naming and categorization using fMRI and behavioral data.

This study investigates the role of the hippocampus in speech production by analyzing fMRI data, finding that impaired speech feedback reduces hippocampal activity and increases coupling with auditory cortex.

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 that brain activity tracking linguistic structures in speech changes with speech intelligibility, with higher-level structures being left-lateralized.

The paper combines natural speech and MEG to create a corpus of speech-evoked neuronal activity using computational corpus linguistics methods.

The paper introduces a new protocol called GE2REC to interactively map language and memory networks using MRI in healthy participants, showing robust activation of relevant brain regions.

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.

This study compares language network efficiency between polyglots and controls using fMRI, finding polyglots use fewer neural resources for language processing.

The paper investigates how noise and linguistic knowledge affect bilingual speech comprehension, finding that noise impairs neural tracking of speech structure in second languages.