Guillaume Dumas

This study investigates how leader and follower roles shape brain mechanisms in dyadic sensorimotor coordination using EEG hyperscanning, finding role-specific neural patterns and dissociating automatic from controlled coordination.

The paper analyzes EEG data from 4,812 individuals to identify shared and distinct neurophysiological signatures across psychiatric conditions and rare genetic variants.

This study shows that LSD increases inter-brain synchrony and felt connectedness in romantic couples during rest and interaction, independent of drug concentration.

The paper examines how intergenerational and same-generation social interactions affect longitudinal changes in neural synchrony, loneliness, and social connection over a creative drawing program.

The paper develops FunBurd to analyze gene dosage effects on 43 traits in UK-Biobank, finding pleiotropy and non-monotonic responses linked to genetic constraint and brain-specific mechanisms.

This study uses dual-tACS on the rTPJ to investigate how theta frequency stimulation affects joint agency during a tapping task, finding that anti-phase theta stimulation reduces joint agency.

This study uses self-supervised learning to classify autism spectrum condition from hyperscanning EEG data during social interactions, achieving 78.13% accuracy.

The paper introduces a multiscale resource integrating genetics, brain imaging, and clinical data from autistic individuals and their relatives to explore genetic and neurobiological patterns in autism.

This study uses HD-tRNS on the rTPJ to investigate its role in social inference during real-time interactions, finding no effect on motor coordination but progressive changes in perceived cooperativeness with repeated stimulation.

The paper analyzes EEG data from a large cohort to show aperiodic neural activity decreases monotonically with age, while periodic activity increases then decreases, mapping to distinct biological processes.

This study explores inter-brain synchronization during minimal tactile interaction using EEG hyperscanning and identifies alpha-band connectivity patterns, though results are preliminary and not individually significant.

The paper develops a method to analyze genomic deletions and duplications across the cerebral cortex and finds opposing effects on cognitive ability depending on gene expression patterns in different cortical regions.

The paper investigates action-related modulations of perceptual performance and finds that these modulations depend on internal states like attention and decision criteria, specifically at ~17 Hz.

The paper identifies a CNV duplication associated with higher cognitive ability and shows gene-dosage effects differ between deletions and duplications across biological processes.

This study compares social behavior and inter-brain connectivity in dyads with autistic individuals and typically developing participants during social imitation tasks, finding differences in role preference and inter-brain synchrony.

This study examines subcortical brain alterations in CNV carriers across multiple neuropsychiatric disorders, finding shared and distinct patterns of structural changes.

The paper identifies patterns of neural variability in autism using fMRI across tasks, finding greater global connectivity deviations and similar spatial patterns in autistic individuals compared to controls.

This study compares brain-to-brain synchrony during live and technologically-assisted remote mother-child interactions, finding reduced synchrony in remote settings and implications for social brain development.

This paper introduces a three-level computational model of cognitive ability development in an artificial neural network and identifies key factors like epigenesis, dopamine, and interneurons that influence its performance.

The paper identifies a multimodal brain pattern associated with autism by integrating gray and white matter morphology data and linking it to clinical symptoms.

This study identifies genetic correlates of phenotypic heterogeneity in autism by analyzing common and de novo variants across core features and co-occurring disabilities.

This paper explains Gamma inter-brain coupling using a Kuramoto model with Theta-Gamma cross-frequency coupling and inter-brain Theta synchronization.

The paper investigates sex differences in autism using resting-state fMRI data, finding significant effects in brain connectivity and replicating some findings in independent samples.

The paper identifies brain-related genes under positive selection in primate evolution and links them to cognitive traits and neurological disorders.

The paper examines how CNVs in 16p11.2 and 22q11.2 affect functional brain connectivity in neuropsychiatric disorders, identifying shared dysconnectivity patterns across ASD, SZ, and deletions.

The paper identifies atypical brain asymmetry in autism as a potential neurophenotype for stratification, showing individualized patterns linked to symptom severity and language delay.

This study investigates reward processing in autism spectrum disorder (ASD) and finds generalized hypoactivity in the ventral striatum during anticipation of both social and monetary rewards.

The paper develops a phenotypic stratification model to predict autism subtypes based on SC-RRB balance and applies it to fMRI data, identifying subtype-specific neural circuitry and gene expression patterns.

This study investigates binaural beats' effects on brain activity and mood using a controlled experiment, finding they elicit cross-frequency connectivity but not mood modulation.

This study uses the Human Dynamic Clamp and EEG to show how sensorimotor coordination affects social cognition, revealing two neural networks linked to cooperation and humanness judgments.