Richard Delorme

This study examines how prematurity and early locomotor training affect the temporal and spatial organisation of sleep spindles in infants.

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 uses EEG spectral parameterization to analyze aperiodic activity and theta power in preterm infants, showing developmental changes and links to clinical factors and brain microstructure.

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

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 identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

Maternal immune activation causes Treg deficiency in offspring, leading to brain inflammation and autism-like behaviors, which can be reversed by Treg stimulation.

This study uses EEG microstate analysis to compare brain activity maturation in preterm and full-term infants, finding slower dynamics and altered spatio-temporal properties in preterms.

EAGER establishes a registry of autistic individuals and those with rare genetic conditions for genomic and phenotypic research, aiming to improve clinical trials and health outcomes through data sharing.

This paper replicates previous findings of differences in grey-white matter contrast in autism spectrum disorders using open data and finds no significant differences.

The paper maps the odds ratio for autism associated with rare LoF variants in autism-associated genes and shows sub-diagnostic effects in undiagnosed individuals.

The paper introduces brain charts as a standardized resource for benchmarking brain morphology across the human lifespan using MRI data from a large and diverse cohort.

The paper identifies a recurrent SHANK3 frameshift variant in Autism Spectrum Disorder, showing de novo mutations and variable expressivity.

This study identifies a genome-wide significant variant for OC traits and shows shared genetic risk between OC traits and OCD.

This study investigates whether social and non-social autism symptom domains are genetically distinct by analyzing genetic correlations between systemizing and autism traits.

This study identifies reproducible functional connectivity alterations in ASD using rs-fMRI across four large cohorts, linking them to clinical symptoms and brain regions.

This paper conducts a meta-analysis and ABIDE cohort analysis to investigate cerebellar volume differences in autism, finding weak associations and potential publication bias.

This study identifies modifier genes in Phelan-McDermid syndrome patients by analyzing 22q13 rearrangements and their association with clinical features.