Neurobiology of Language and Bilingualism

Implicit semantic prediction error can account for N400 effects on articles that do not differ in meaning: A neural network model

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.

Agrammatism and paragrammatism: a cortical double dissociation revealed by lesion-symptom mapping

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

Revealing the neural networks that extract conceptual gestalts from continuously evolving or changing semantic contexts

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.

Neural harmonics of syntactic structure

The paper investigates whether neural rhythms reflect internal syntactic processes by analyzing EEG and behavioral data from participants listening to grammatical and ungrammatical sentences.

Neural dynamics of phoneme sequences: Position-invariant code for content and order

The human brain represents speech phoneme sequences through dynamic coding that tracks content and elapsed processing time, revealing how it combines phonemes to access the mental lexicon.

Say what I mean - Expectancy effects in the EEG during joint and spontaneous word-by-word sentence production

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.

Model-based and model-free analyses of the neural correlates of tongue movements

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.

Neural evidence for the prediction of animacy features during language comprehension: Evidence from MEG and EEG Representational Similarity Analysis

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.

Stimulus-modality independent activation of the brain network for language

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

Connectivity Gradient in the Human Left Inferior Frontal Gyrus: Intraoperative Cortico-Cortical Evoked Potential Study

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.

Healthy ageing and sentence production: Disrupted lexical access in the context of intact syntactic planning

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.

Cognitive control of orofacial and vocal responses in the human frontal cortex

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

Isolating syntax in natural language: MEG evidence for an early contribution of left posterior temporal cortex

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.

Dynamics of inhibitory control during bilingual speech production: An electrophysiological study

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

Transformation of Speech Sequences in Human Sensorimotor Circuits

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

Dissociating activation and integration of discourse referents: evidence from ERPs and oscillations

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.

Left anterior temporal lobe is necessary for efficient lateralised processing of spoken word identity

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.

Dissociation between Frontal and Temporal-Parietal Contributions to Connected Speech in Acute Stroke

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.

Linguistic input drives brain network configuration during language comprehension.

The paper investigates how linguistic input influences brain network configuration during language comprehension using fMRI and graph theory.

Gene Expression Correlates of the Cortical Network Underlying Sentence Processing

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

Composition is the core driver of the language-selective network

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

Functional MRI Investigation on Paradigmatic and Syntagmatic Lexical Semantic Processing

This study uses fMRI to compare brain activity during paradigmatic and syntagmatic semantic processing by evaluating semantic embeddings derived from linguistic knowledge bases and statistical models.

More than words: Word predictability, prosody, gesture and mouth movements in natural language comprehension

The paper investigates how multimodal cues like prosody, gestures, and mouth movements affect brain responses during language comprehension, showing their integral role beyond speech alone.

The Noise-Resilient Brain: Resting-State Oscillatory Activity Predicts Words-In-Noise Recognition

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

Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia

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

Syntax-sensitive regions of Broca's area and the posterior temporal lobe are differentially recruited by production and perception

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

Structural Disconnection of the Tool Use Network After Left Hemisphere Stroke Predicts Limb Apraxia Severity.

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

Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech

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.

Graded, multi dimensional intragroup and intergroup variations in primary progressive aphasia and post stroke aphasia.

This study compares primary progressive aphasia and post-stroke aphasia using multiple linguistic and cognitive tasks, revealing graded variations rather than categorical boundaries.

The Relation between Alpha/Beta Oscillations and the Encoding of Sentence induced Contextual Information

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.