Thomas Hinault

This study examines how aging affects time perception and memory by analyzing EEG data from younger and older adults during retrospective and prospective duration estimation tasks.

This study examines age-related changes in implicit learning using EEG and behavioral measures, finding that older adults show reorganized neural mechanisms for implicit encoding.

The paper examines diurnal changes in brain network dynamics and their association with cognitive aging and Alzheimer's disease markers.

The paper examines daily fluctuations of theta and gamma EEG rhythms in healthy aging and links them to cognitive performance and biomarkers of neurodegeneration.

This study shows that the head model significantly affects the accuracy of subject identification and differentiation in MEG-derived functional connectivity fingerprinting.

This study examines the functional brain network organization in adolescents with PTSD, finding altered coupling between unimodal and transmodal brain regions across multiple topological scales.

This study links structural and functional brain changes during aging using multilayer network analysis on diffusion tensor imaging and magnetoencephalography data from the Cam-CAN database, showing associations between structural connectivity and cognitive performance.

The paper examines age-related changes in brain connectivity dynamics using MEG data from healthy young and older adults, finding increased variability and altered information transfer in the default mode network.

This study examines age-related changes in deep-brain neurophysiological activity using resting-state MEG data from healthy young and older volunteers.

The paper estimates dynamic cognitive states from behavioral data to predict reaction time variability and identifies EEG features modulating these states.

The paper uses EEG and a hierarchical Bayesian model to identify neural signals related to sensory evidence, decision variables, and urgency during dynamic decision-making, showing urgency reflects the product of sensory evidence and an evidence-independent signal.

This study examines age-related differences in brain network structure and dynamic synchrony, linking white matter microstructure to cognitive control performance in older adults.

The paper investigates how white matter integrity affects neural synchrony and cognitive performance in older adults, finding that reduced integrity is mediated by changes in alpha and gamma phase-locking values.