Cristina Scarpazza

This study conducts an ALE meta-analysis of neuroimaging studies to identify consistent neural activations for grasping and reaching actions with and without visual information.

This study uses a meta-analysis of neuroimaging data to identify a cortical gradient system supporting time and space processing, expanding the ATOM theory to GradiATOM.

This study applies deep autoencoders to structural neuroimaging data from Alzheimer's and mild cognitive impairment patients to quantify deviations from healthy norms and compare performance with traditional classifiers.

The paper links reduced cortical morphometric similarity in psychosis to the expression of schizophrenia-related genes in specific brain regions.