Aline Lefebvre

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

The paper identifies three neurophysiological biotypes in youth using EEG data, revealing brain-behavior relationships that challenge traditional diagnostic categories.

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.

This paper quantifies EEG heterogeneity in psychiatric disorders using normative modeling, finding significant individual deviations that correlate with clinical assessments.

The paper analyzes corpus callosum size and brain volume in the Abide dataset, finding no significant differences between autistic and non-autistic individuals after accounting for brain size and intelligence.