Emeline Mullier

This paper develops a whole-brain model to predict conduction velocity from MRI-derived microstructural features, explaining 29% of variance in neurophysiological conduction velocity.

This study assesses how defacing structural MRI images affects quality assessments by humans and automated tools, finding significant human bias and minimal impact on MRIQC metrics.

The paper quantifies spatio-temporal brain dynamics in autism using two novel measures and finds atypical connectivity patterns, with differences based on symptom severity and domain.

The paper uses white matter structural connectivity to improve EEG functional connectivity by smoothing signals in a graph space derived from structural data, increasing resemblance to fMRI connectivity.