Hanad Sharmarke

This paper evaluates denoising strategies in resting-state fMRI using fMRIPrep and Nilearn, finding that scrubbing combined with global signal regression is effective but may disrupt continuous sampling.

The paper examines how rare and common genomic variants affect brain functional connectivity, revealing how polygenicity and pleiotropy influence psychiatric conditions and brain networks.

Neuropsychiatric CNVs reorganize brain connectivity along shared patterns linked to cognitive traits and disorder severity.

The paper identifies a predictive signature of cognition and brain atrophy for progression to Alzheimer’s dementia using machine learning, validated in two MCI cohorts with high positive predictive value.