Neurobiology of Language and Bilingualism

Prior context and individual alpha frequency (IAF) influence predictive processing during language comprehension

The study reanalyzes language comprehension data to show that predictive processing in language depends on prior context and individual neural factors like alpha frequency.

Elucidating an implicit-statistical learning brain network: Coordinate-based meta-analyses and functional connectivity profiles of artificial grammar learning in healthy adults

This study identifies brain networks involved in implicit statistical learning of grammar using meta-analyses and functional connectivity, finding three subnetworks related to grammatical processing and cognitive control.

The language network reliably 'tracks' naturalistic meaningful non-verbal stimuli

This study shows that the language network tracks semantically rich non-verbal stimuli more than semantically poor ones but less than linguistic stimuli.

Simple syntactic rules through rapid synaptic changes

The paper introduces a model that uses rapid synaptic rules to implement a simple grammar, demonstrating syntactic structure and priming effects without hierarchical syntax.

Representation of event and object concepts in ventral anterior temporal lobe and angular gyrus

The paper investigates how the ventral anterior temporal lobe and angular gyrus represent object and event concepts using fMRI and RSA, finding AG specializes in event semantics while vATL handles both.

Cortical time-course of evidence accumulation during semantic processing

The paper uses magnetoencephalography and machine learning to track semantic processing dynamics, showing gradual accumulation of semantic information leading to a variable plateau across individuals.

Neural Tracking Measures of Speech Intelligibility: Manipulating Intelligibility while Keeping Acoustics Unchanged

This paper investigates how speech intelligibility affects neural responses using MEG, finding that top-down mechanisms improve word processing in prefrontal cortex while auditory responses remain acoustically driven.

Tracking components of bilingual language control in speech production: an fMRI study using functional localizers.

This study uses fMRI to investigate the neural mechanisms of bilingual language control by examining the L2 after-effect in Polish-English bilinguals.

Degeneracy in the neurological model of auditory speech repetition

The paper uses dynamic causal modelling to study effective connectivity during auditory repetition, finding bidirectional and inhibitory interactions between Wernickes and Brocas areas with individual variability.

The Interaction of Context Constraints and Predictive Validity during Sentence Reading

The paper investigates how sentence context constraints and predictive validity affect neural responses during reading, finding that N400 amplitude decreases with higher context constraints, while alpha power shows a non-monotonic pattern.

Semantic object processing is modulated by prior scene context

This study investigates how prior scene context modulates semantic object processing using EEG and computational modeling, finding that incongruent objects have prolonged semantic integration.

The spatiotemporal dynamics of semantic integration in the human brain

This study investigates semantic integration in the human brain using intracranial recordings, identifying specific brain regions and their roles in semantic processing and conflict resolution.

Combinatorial binding of semantic information through the sharing of neural oscillatory signals

The paper shows that semantic unification in language processing occurs through neural oscillatory signals in the left temporo-parietal cortex, as evidenced by coherent responses to semantically congruent sentences.

Leading and Following: Noise Differently Affects Semantic and Acoustic Processing during Naturalistic Speech Comprehension

The paper examines how noise affects neural tracking of acoustic and semantic speech features during naturalistic speech comprehension, finding that semantic processing leads and is linked to comprehension performance.

Semantic-Specific and Domain-General Mechanisms for Integration and Update of Contextual Information

The paper investigates whether context integration and update during language and semantic processing involve domain-specific or domain-general neural mechanisms using fMRI.

A novel protocol for magnetoencephalographic mapping of speech motor control regions during speech production.

This paper introduces a novel MEG protocol for mapping speech motor control regions during speech production, showing focal activation in precentral gyrus and differences between adults, typically developing children, and children with CAS.

Context and Attention Shape Electrophysiological Correlates of Speech-to-Language Transformation

This paper uses Whisper to model EEG data during audiobook comprehension, finding it accurately captures speech-to-language transformation with context and attention dependencies.

Contribution and functional connectivity between cerebrum and cerebellum on sub-lexical and lexical-semantic processing of verbs

The paper investigates sub-lexical and lexical-semantic processing of verbs using fMRI, finding distinct neural pathways for concrete-motor and abstract-mental verbs.

Neural representations of concrete concepts enable identification of individuals during naturalistic story listening

The paper shows that neural representations of concrete concepts are reliable across stories and unique to individuals, while abstract concepts show more variability.

A neural mechanism of cognitive reserve: The case of bilingualism

This study investigates how bilingualism contributes to cognitive reserve by examining structural and functional brain differences in older adults.

Optimizing Predictive Metrics for Human Language Comprehension

This paper introduces attention-aware and enhanced metrics for language comprehension that improve prediction of eye movements across 13 languages.

Uncovering the Morphological Evolution of Language-Relevant Brain Areas

The paper compares the morphology of Broca's areas between humans and chimpanzees, finding human-specific expansion in BA44 associated with syntax.

The entire brain, more or less, is at work: 'Language regions' are artefacts of averaging

The paper shows that 'language regions' identified in neuroimaging are artefacts of averaging, as linguistic representations are distributed across the whole brain and coordinated by dynamic connectivity hubs.

A frontal cortical network is critical for language planning during spoken interaction

This study shows that stimulating specific frontal cortical regions during spoken interaction leads to language planning deficits and response errors.

A natural language fMRI dataset for voxelwise encoding models

The paper provides a natural language fMRI dataset with BOLD responses and tools for voxelwise encoding models to study language comprehension.

Cortical representations of languages during natural dialogue

The paper uses fMRI to show separate brain representations for language production and comprehension during natural dialogue, with production linked to motor systems and comprehension to auditory systems, both involving shared semantic and pragmatic networks.

Conceptual representations in the default, control and attention networks are task-dependent and cross-modal

The paper investigates how conceptual representations in brain networks are modulated by task and modality, finding they are task-dependent and cross-modal.

Finding structure during incremental speech comprehension

This study uses BERT to model incremental speech comprehension and finds that coherent interpretations emerge through the integration of linguistic and non-linguistic constraints in bilateral brain regions.

Bilateral Human Laryngeal Motor Cortex in Perceptual Decision of Lexical Tone and Voicing of Consonant

The paper investigates the role of bilateral laryngeal motor cortex in speech perception using transcranial magnetic stimulation and psychometric models, finding left-lateralized engagement with right upregulation in noise.

A unifying computational account of temporal context effects in language across the human cortex

This paper introduces a framework to improve deep learning model interpretability in language processing by simulating brain responses and identifying temporal context effects in human cortex.