Neurobiology of Language and Bilingualism

How do brain regions specialised for concrete and abstract concepts align with functional brain networks? A neuroimaging meta-analysis

Low-frequency Cortical Activity Reflects Context-dependent Parsing of Word Sequences

The paper shows low-frequency neural activity reflects context-dependent parsing of word sequences, tracking sentences rather than individual words.

Conscious and unconscious perception of pitch shifts in auditory feedback during vocalization: Behavioral functions and event-related potential correlates

The paper investigates how conscious and unconscious perception of pitch shifts in auditory feedback during vocalization affects vocal responses and neural activity.

Dynamics of auditory word form encoding in human speech cortex

This study investigates how the brain encodes auditory word forms in speech processing, finding distinct neural resets at word boundaries and temporal scaffolding for variable word lengths.

A left-lateralized dorsolateral prefrontal network for naming

The paper identifies a left-lateralized dorsolateral prefrontal network involved in semantic processing during word retrieval using ECoG data from patients.

When Meaning Matters Most: Rethinking Cloze Probability in N400 Research

This paper reanalyzes N400 data using semantic cloze instead of lexical cloze, finding semantic cloze better predicts N400 amplitude than lexical cloze or LLM-derived probabilities.

Dynamic modeling of EEG responses to natural speech reveals earlier processing of predictable words

The paper models EEG responses to natural speech, showing predictable words are processed faster with earlier and smaller N400-like responses.

Characterizing semantic compositions in the brain: A model-driven fMRI re-analysis

The paper re-analyzes fMRI data to identify brain regions and operations involved in semantic composition, finding compositional representations in BA45 and the left middle superior temporal sulcus.

Neural trajectories reveal orchestration of cortical coding underlying natural language composition

The paper investigates how neural trajectories in latent spaces underpin natural language composition, revealing distinct coding strategies and syntactic relations in human neocortical responses.

Mapping Contributions of the Anterior Temporal Semantic Hub to the Processing of Abstract and Concrete Verbs

The paper investigates how abstract and concrete verbs are processed in the brain, finding that all abstract verb types engage the vATL except mental state verbs, and that different verb types activate distinct ATL clusters.

Initial signs of learning: Decoding newly-learned vocabulary from neural patterns in novice sign language learners

The paper shows that neural patterns in novice sign language learners correlate with semantic features of newly learned ASL signs, indicating early integration of new vocabulary into existing semantic networks.

"What" and "when" predictions jointly modulate speech processing

The paper investigates how 'what' and 'when' predictions interact in speech processing using MEG, finding that their integration is mediated by a shared cortical network rather than separate hierarchies.

Natural language processing models reveal neural dynamics of human conversation

This study uses deep learning models to analyze neural activity during conversation, showing distributed and context-dependent patterns for speech production and comprehension.

Le Petit Prince (LPP) Multi-talker: Naturalistic 7T fMRI and EEG Dataset

The paper introduces a naturalistic neuroimaging dataset with EEG and 7T fMRI recordings from 26 Mandarin speakers listening to single- and multi-talker speech, enabling research on attention and auditory processing in complex environments.

A novel candidate neuromarker of central motor dysfunction in childhood apraxia of speech

Characterizing directional dynamics of semantic prediction based on inter-regional temporal generalization

The paper uses MEG data and a machine learning approach to investigate causal connectivity between inferior frontal gyrus and temporal areas during semantic prediction, finding significant feedback effects.

The neurocomputational mechanisms of hierarchical linguistic predictions during narrative comprehension

This study investigates how the brain hierarchically represents linguistic predictions during narrative comprehension using NLP and fMRI, finding that sentence-level predictions update at boundaries rather than continuously.

Auditory cortex anatomy reflects multilingual phonological experience

This study links multilingual phonological experience to cortical thickness in auditory brain regions, showing that more diverse language exposure correlates with thinner second transverse temporal gyrus.

Visualization of functional and effective connectivity underlying auditory descriptive naming

The paper visualizes functional and effective connectivity in white matter networks during auditory descriptive naming tasks, showing how phrase order influences neural dynamics.

Constructed languages are processed by the same brain mechanisms as natural languages

The paper shows that constructed languages activate the same brain regions as natural languages, suggesting shared cognitive mechanisms regardless of their creation or usage characteristics.

Whole-brain dynamics of articulatory, acoustic and semantic speech representations

The paper identifies spatial and temporal distributions of semantic, articulatory, and acoustic speech representations in the brain using intracranial data from 15 participants.

Stimulus dependencies---rather than next-word prediction---can explain pre-onset brain encoding in naturalistic listening designs

This paper shows that pre-onset brain encoding in language processing can be explained by stimulus dependencies rather than neural prediction.

Decoding the Neural Dynamics of Headed Syntactic Structure Building

This study uses neural decoding to show that the brain reactivates the syntactic head of a phrase during comprehension, revealing temporal dynamics linked to linguistic composition.

Inhibitory control of speech production in the human premotor frontal cortex

This study identifies a premotor frontal cortex network involved in inhibitory control of speech, showing distinct neural activity for stopping speech compared to speech production.

EEG reveals online monitoring mechanisms of speech production

The paper uses EEG to study neural mechanisms of speech production by decoding auditory speech output under different masking conditions, finding consistent decoding in instantaneous and feedback lags.

Le Petit Prince (LPP) Multi-talker: Naturalistic 7T fMRI and EEG Dataset

The paper introduces a naturalistic neuroimaging dataset with EEG and 7T fMRI recordings from 26 Mandarin speakers listening to single- and multi-talker speech, enabling research on attention and auditory processing in complex environments.

Emergent modularity in large language models: Insights from aphasia simulations

This study simulates aphasia in large language models by disrupting components to explore modularity in language processing and its parallels with human systems.

Decoding semantics from natural speech using human intracranial EEG

This study decodes lexical semantic information from natural speech using intracranial EEG in participants during spontaneous conversation, achieving 21% accuracy.

Asymmetric representation of symmetric semantic information in the human brain

This study investigates whether symmetric semantic information is represented symmetrically in the human brain using fMRI data from movie-evoked responses.

The effects of reliable social feedback on language learning: insights from EEG and pupillometry

This study investigates how reliable social feedback affects language learning using EEG and pupillometry, finding that social feedback enhances learning and alters neural responses compared to symbolic feedback.