Neurobiology of Language and Bilingualism

The paper investigates neural correlates of syntactic dependencies in a Verb-Second language using MEG, finding increased responses in left fronto-temporal regions for sentences compared to list-controls.

The paper investigates speaker-specific phonological prediction by analyzing ERP responses to predictable and unpredictable words spoken by native and foreign-accented speakers.

The paper investigates how object and event concepts are represented in the brain using fMRI data, finding they share a common representational code based on perceptual and emotional features.

The paper examines ERP differences between mental and physical experiencer verbs in Malayalam, finding similar but distinct neural responses to grammatical violations and verb types.

The paper develops a real-time coupled-oscillators virtual partner to study verbal coordination and its neural dynamics using intracranial recordings from epilepsy patients.

The paper examines neural correlates of word retrieval during consolidation, finding reduced alpha and beta power after learning.

The paper investigates brain-behavioural associations between language and cognitive skills using fMRI and behavioural measures, finding shared neural networks for linguistic and domain-general functions.

This study investigates the neural balance between coherence and creativity in spontaneous speech, finding a negative correlation between coherence and divergence, and identifying network interactions associated with each.

The paper introduces a dataset of ECoG recordings from nine participants listening to a podcast, along with linguistic features and tutorials for analysis.

This study investigates how brain health and cardiorespiratory fitness influence age-related word-finding failures in older adults using neuroimaging and fitness data.

This study uses intracranial EEG data from 106 patients to create a dynamic causal tractography atlas showing how specific white matter fasciculi contribute to different stages of auditory naming.

The paper uses ECoG recordings to decode word processing during sentence production, showing syntactic structure influences word order encoding in frontal cortex.

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

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

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

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

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.

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.

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

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.

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.

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

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.

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

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

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.

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.

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