Neurobiology of Language and Bilingualism

This study shows that neural activity tracks task-related chunks rather than word properties during speech listening.

The paper uses a neural network model to simulate N400 effects on articles, attributing them to implicit semantic prediction errors rather than pre-activation of word forms.

This study uses lesion-symptom mapping to show a double dissociation between agrammatism and paragrammatism, linking them to distinct brain regions.

This paper uses fMRI to identify neural networks involved in forming and updating semantic gestalts during narrative processing, revealing distinct roles for the anterior temporal lobe and fronto-parietal networks.

The paper measures neural correlates during spontaneous interactive sentence production using a word-by-word technique, finding significant N400 and P600 ERP effects for unexpected words and their predictive relationship with response times.

This study uses fMRI to analyze cerebral control of tongue movements and inter-individual differences, finding distinct neural networks and activity patterns for different movement types.

The paper uses MEG and EEG with RSA to show that brain activity patterns differ when predicting animate versus inanimate nouns during language comprehension, indicating semantic prediction of coarse-grained features.

The paper identifies a brain network for language processing that is independent of sensory modality by analyzing neuromagnetic signals from reading and listening tasks.

This study uses intraoperative cortico-cortical evoked potentials to map connectivity gradients in the human left inferior frontal gyrus, revealing distinct connections between its subdivisions and temporal lobe regions.

This study examines age-related differences in syntactic planning and lexical retrieval during sentence production, finding preserved syntactic facilitation but disrupted lexical access in older adults.

This study identifies roles of frontal cortex regions in primate vocal production and their adaptation for human speech.

The paper uses MEG to show that left posterior temporal cortex activity increases when syntactic composition is simpler in natural language, with connectivity to other brain regions involved in syntax and semantics.

This study examines inhibitory control dynamics in bilingual speech production using ERP measurements during language switching and repetition tasks.

The paper investigates how mental rehearsal of speech transforms representations in sensorimotor and premotor cortex compared to higher-order semantic regions.

The paper investigates the neural mechanisms of anaphor comprehension using EEG, finding dissociable theta and gamma band activity for activation and integration of discourse referents.

The paper shows that the left anterior temporal lobe is essential for efficient processing of spoken word identity, with semantic dementia patients showing increased right hemisphere activity in response to ambiguous words.

The paper examines brain damage effects on speech production in acute stroke patients, finding distinct roles for temporal-parietal and frontal regions in word retrieval and syntactic structure.

The paper identifies genes correlated with the sentence-processing network in the human cortex using gene expression, fMRI, and neuroimaging meta-analysis.

The paper tests whether the language-selective network responds to sentence-level composition despite word order violations in naturalistic sentences.

The paper shows that resting-state MEG oscillatory power in specific brain regions predicts words-in-noise recognition performance.

This study uses PCA to analyze lesion patterns in post-stroke aphasia, identifying vascular-based clusters and linking them to cognitive and linguistic deficits.

The paper uses fMRI to investigate functional differences between Broca's area and the posterior temporal lobe in syntactic production and comprehension.

The paper identifies structural disconnection patterns in the brain that predict severity of limb apraxia after left hemisphere stroke.

The paper investigates ERP correlates of top-down expectations and pop-out during degraded speech comprehension, finding early error signals and a P3a-like pop-out effect in attentive participants.

This study investigates whether alpha/beta oscillations reflect language prediction by measuring neural responses to sentences with varying predictability levels, finding non-monotonic power modulations that suggest a role in attention or control rather than direct prediction.

This study investigates network dynamics in Broca’s area during word production, finding parallel network interactions and specific inter-regional couplings during lexical retrieval and selection.

This study uses fMRI to show that predictive coding during sentence comprehension is domain-specific and relies on both local word patterns and hierarchical structure, not domain-general circuits.

This study investigates whether distributional word vectors can model brain activity during word processing without context, finding they predict neural patterns and outperform a taxonomic baseline.

This study investigates how neural habituation affects novelty detection using EEG and machine learning, finding that longer prime durations enhance novelty detection.

The paper investigates how word predictability and sentence plausibility affect the N400 brain response during language comprehension using a large-scale study.