Sahar Allouch

The paper maps lifespan EEG trajectories across age groups, revealing nonlinear patterns and spatial variations in brain activity.

The paper shows that EEG-brain behavior associations are unstable with small samples but become reliable with large cohorts.

The paper shows that small sample sizes in EEG case-control studies lead to unreliable results, while larger samples produce consistent and reproducible findings.

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

This study uses EEG and normative modeling to identify deviations in neurophysiological features in Parkinson's and Alzheimer's patients, showing significant heterogeneity and correlations with clinical scores.

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

This study examines how methodological choices in EEG source connectivity analysis affect results consistency and similarity across subjects.

This study evaluates how EEG channel density, inverse solutions, and connectivity measures affect resting-state network reconstruction accuracy using simulations.

The paper evaluates EEG source-space networks using a large-scale brain activity model called COALIA, showing that high electrode density and specific inverse solution/connectivity measure combinations improve network estimation.