Neurobiology of Language and Bilingualism

Multilingual Computational Models Capture a Shared Meaning Component in Brain Responses across 21 Languages

This study evaluates how multilingual computational models capture shared meaning components in brain responses across 21 languages using fMRI data.

Tripartite organization of brain state dynamics underlying spoken narrative comprehension

The paper uses Hidden Markov Modeling on fMRI data to show that brain state dynamics during spoken narrative comprehension involve a tripartite state space, with states linked to sensory-motor, temporal, and DMN regions, and predictive of comprehension scores.

EEG reveals brain network alterations in chronic aphasia during natural speech listening.

This study uses EEG to identify altered brain network patterns in chronic aphasia during natural speech listening, finding distinct connectivity differences and potential biomarkers.

Incremental Accumulation of Linguistic Context in Artificial and Biological Neural Networks

This study compares how LLMs and the brain process narrative context, introducing an incremental LLM that better predicts DMN neural activity.

Neural Dynamics of the Processing of Speech Features: Evidence for a Progression of Features from Acoustic to Sentential Processing

The paper uses MEG to show a hierarchical progression of speech processing from acoustic to linguistic features, with late responses indicating predictive coding and semantic processing.

NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function

The paper introduces NEBULA101, a dataset combining brain imaging and behavioural data from 101 adults to study language aptitude and individual differences in cognition.

Unaware Processing of Words Activates Experience-Derived Information in Conceptual-Semantic Brain Networks

This fMRI study shows that subliminal words about manipulable objects and emotions activate corresponding conceptual-semantic brain networks even without conscious awareness.

Abstract rule generalization for composing novel meaning recruits the frontoparietal control network

The study investigates how the brain generalizes abstract linguistic rules to form novel meanings, finding that a frontoparietal network, not the medial prefrontal-hippocampal network, supports this process.

Intrinsic functional connectivity delineates transmodal language functions

This study uses intrinsic functional connectivity to identify a distributed language network that supports transmodal language functions across auditory and visual tasks.

Recovery of Verbal Working Memory Depends on Left Hemisphere White Matter Tracts

This study examines the role of left and right hemisphere white matter tracts in the recovery of verbal working memory after left hemisphere stroke, finding that semantic working memory recovery correlates with left hemisphere tract integrity.

Neural oscillations in the aging brain associated with interference control in word production

This study examines neural oscillations in older adults during word production, finding beta power decreases instead of theta modulation observed in young adults, suggesting age-related changes in interference control mechanisms.

The P600 during sentence reading predicts behavioral and neural markers of recognition memory

The paper investigates whether the P600 ERP component during sentence reading predicts behavioral and neural markers of recognition memory.

Lifespan Oscillatory Dynamics in Lexical Production: A Population-based MEG Resting-State Analysis

The paper examines how functional connectivity in the Default Mode Network (DMN) changes with age, showing a shift in temporal dynamics that helps maintain lexical production.

Mapping the task-general and task-specific neural correlates of speech production: meta-analysis and fMRI direct comparisons of category fluency and picture naming

Convergent representations and spatiotemporal dynamics of speech and language in brain and deep neural networks

This study compares how speech and language DNN models align with neural activity during speech processing, finding shared components and distinct spatiotemporal dynamics.

Human precentral gyrus neurons link speech sequences from listening to speaking

The paper investigates neural activity in the human precentral gyrus during speech tasks, finding neurons that encode both listening and speaking phases, including mirror and bridge neurons.

Robust assessment of the cortical encoding of word-level expectations using the temporal response function

The paper introduces two new metrics to assess neural encoding of lexical surprise in speech comprehension, showing significantly larger effect sizes than existing methods.

Naturalistic language comprehension engages a cascade of widespread brain networks in the one second following comprehension

This study uses fMRI and EEG to map the spatiotemporal progression of brain networks during naturalistic language comprehension, revealing a cascade of network activations over one second.

Semantic integration demands modulate large-scale network interactions in the brain

This study investigates how semantic integration demands affect brain network interactions across the lifespan using fMRI and behavioral data.

What are you talking about? Representation of the Topic of Speech in the Human Brain

The paper demonstrates the existence of a brain network sensitive to the topic of speech, showing it is linked to language comprehension and maintains topic-related representations.

Cognitive Dynamics of Verb-Particle Constructions: An Eye-Tracking Study

This study uses eye-tracking to compare cognitive processing of phrasal verbs and prepositional verb-particle constructions, finding phrasal verbs are processed more efficiently.

Temporal and Hemispheric Dynamics in Neural Processing of Auditory and Speech Stimuli Across Linguistic Complexity: A MEG Source Space Study

This study examines neural processing of auditory and speech stimuli of varying complexity using MEG, revealing hemispheric lateralization patterns and temporal dynamics in speech perception.

When Abstract Becomes Concrete: Naturalistic Encoding of Concepts in the Brain

The paper investigates how concrete and abstract concepts are encoded in the brain during movie watching, showing context-dependent changes in neural activation patterns.

Supplementary motor area in speech initiation: a large-scale intracranial EEG evaluation of stereotyped word articulation

This study uses intracranial EEG to show the supplementary motor area (SMA) is the earliest cortical region active before speech onset during stereotyped word articulation.

Analyzing Differences in Processing Nouns and Verbs in the Human Brain using Combined EEG and MEG Measurements

This study uses combined EEG and MEG to analyze spatio-temporal patterns of noun and verb processing in the human brain, finding consistent patterns across two sub-samples.

A Corollary Discharge Circuit in Human Speech

The paper identifies the source and timing of a corollary discharge signal in human speech using ECoG recordings and Granger-causality analysis.

Neural Encoding of Semantic StructuresDuring Sentence Production

This study investigates neural representations of compositional processing during sentence production using fMRI, finding distributed brain activity and specific encoding in the left inferior frontal gyrus for event-specific semantic structures.

Processing negative words in pun-humor: dynamic representation of mixed feelings blending amusement and negativity

This study examines how amusement and negativity interact during processing of negative words in pun-humor sentences, finding that negativity precedes and persists alongside amusement.

Neural bases of proactive and predictive processing of meaningful sub-word units in speech comprehension

The paper investigates how the brain processes morphemes during speech comprehension using MEG data and shows that predictive models incorporating morpheme-level information outperform models without it.

Convergent neural signatures of speech prediction error are a biological marker for spoken word recognition

The paper shows that neural responses to speech are suppressed by strong predictions when they match input, but enhanced when they mismatch, indicating prediction error computations in auditory regions.