Neurobiology of Language and Bilingualism

The paper examines neural coding of semantic and non-semantic control demands using fMRI and finds distinct and common patterns in semantic and multiple-demand networks.

This study investigates whether verb morphology deficits in aphasia occur at the single word or sentence level and examines neuroplastic changes following a morphosemantic intervention.

The paper investigates whether frontal language areas develop without temporal language areas by studying an individual born without a left temporal lobe, finding that frontal language areas do not emerge in its absence.

The paper shows that cortical regions near visual systems combine visual and linguistic information for concepts, while language regions use mostly linguistic information, with concrete concepts containing more visual information.

This study uses a Sentence Gestalt model trained on a large corpus to predict N400 ERP amplitudes during naturalistic sentence processing, supporting the semantic prediction error hypothesis.

This study finds that bilinguals show different patterns of conflict monitoring and attention allocation during a cognitive task, leading to slower responses due to enhanced monitoring.

The paper investigates neural correlates of semantic number across three languages, finding common activation patterns for plural vs. singular nouns.

The paper investigates how salience-weighted agreement features modulate language comprehension through ERP analysis of Arabic subject-verb agreement violations.

The paper examines ERP responses to self- and externally generated speech with varying phonotactic probability and syllable stress, finding unexpected N1 amplitude effects and P2 amplitude effects related to stress.

This study shows that task-irrelevant speech with coherent structure still activates neural regions involved in linguistic processing, indicating selective attention does not fully block such processing.

The paper investigates neural signatures of predictive language processing in Parkinson's disease patients with and without mild cognitive impairment using ERP measurements.

The paper investigates the cerebellum's role in speech perception, finding it supports domain-general predictive mechanisms through distinct connectivity patterns and reduced cortical activation when active.

Across 101 listeners, how well GPT-2 layer-8 activations predict fMRI responses to spoken stories tracks story comprehension, with a correlation of R = 0.50 across subject-story pairs.

This study investigates neurocomputational mechanisms of cognitive resilience by examining semantic network dynamics under task difficulty manipulations, finding increased functional connectivity linked to better performance.

This study examines modality invariance and attention selectivity in the human brain using fMRI, finding that perisylvian regions show both properties and that semantic features are more strongly associated with these phenomena than phonemic features.

The paper shows that neural representations of event semantics generalize across sentence structures, while visual areas do not, suggesting semantic systems prioritize conceptual meaning over surface features.

This study identifies brain regions consistently activated during program comprehension using a meta-analysis of fMRI studies.

The paper investigates how color and orientation features affect semantic processing of fruits, vegetables, and tools using behavioral and neural measures, finding color is critical for natural categories.

This study shows that older adults have reduced neural coupling with speakers during speech comprehension, which correlates with poorer speech understanding.

This study shows the human brain distinguishes native and nonnative speech within 100 ms using alpha band phase coherence, achieving 90% decoding accuracy.

This study uses resting-state EEG and ERP to predict and assess second language learning success in older adults, finding that beta1 oscillations and N400 components correlate with proficiency and cognitive processing.

This study uses Activation Likelihood Estimation to analyze language network activation in post-stroke aphasia and healthy controls, finding that pre-existing regions are less consistently activated in aphasia, with increased activation in right hemisphere executive regions.

This study uses lesion-symptom mapping in patients with aphasia to show that visual and auditory lexical retrieval tasks share overlapping neural systems in the left lateral prefrontal cortex.

The paper uses RSA on EEG data to show that brain activity patterns pre-activate upcoming words during language comprehension, with timing and strength modulated by context and expectancy.

The paper investigates how word representations evolve during phrase composition using decoding techniques and MEG data, finding asymmetries between nouns and adjectives.

The paper examines how older and younger adults process speech using electrophysiological measures, finding that older adults show reduced semantic pre-activation during language comprehension.

The paper examines the relationship between comprehension difficulty and neural activity in the multiple demand and core language networks during story listening, finding no link in the multiple demand network but a link in the core language network.

The paper examines how unintentional learning of semantically unrelated word pairs affects event-related brain potentials, showing increased N400 amplitude when a new word follows an old word.

The paper investigates how acoustic and linguistic processing of speech temporal structure differs in native and foreign languages using fMRI and speech quilts.