Julien Dubois

This study uses TD-fNIRS to map cognitive brain dynamics across the lifespan, identifying age-related neural dedifferentiation and compensatory strategies in high performers.

This paper presents a whole-head time-domain diffuse optical tomography (TD-DOT) system, characterizes its performance, and demonstrates its ability to retrieve cortical activation maps during various tasks.

This study evaluates the test-retest reliability of brain metrics from a TD-fNIRS system across different tasks and headsets, finding high reliability in resting state and task-related features.

This study uses TD-fNIRS to examine acute ketamine effects on brain dynamics and physiology in humans, finding changes in consciousness, brain connectivity, and potential biomarkers for mystical experiences and depression.

This study shows that alcohol dose affects brain asymmetry and inhibitory control, with metrics of lateralization providing additional insights beyond BAC.

This study shows that intracranial electrical stimulation alters meso-scale network integration depending on the topological role of the stimulated brain regions.

The paper predicts general intelligence from resting-state fMRI data using a distributed brain network approach, explaining 20% of variance in intelligence scores.

The paper predicts personality traits from resting-state fMRI data, finding that openness to experience is the only reliably predicted factor.

The paper introduces a framework combining es-fMRI and causal discovery to map emotion networks in the human brain and presents preliminary findings from resting-state datasets and case studies.

This study uses fMRI to investigate brain activity during object-context integration in visible and invisible scenes, finding distinct activation patterns in PHC and PFC for visible scenes but not for invisible ones.