Sensory processing deficits, first investigated by Kraepelin and Bleuler as possible
pathophysiological mechanisms in schizophrenia, are now being recharacterized in the …

Recent theoretical accounts have proposed excitation and inhibition (E/I) imbalance as a
possible mechanistic, network-level hypothesis underlying neural and behavioral …

Motivation This study reports a framework to discriminate patients with schizophrenia and
normal healthy control subjects, based on magnetic resonance imaging (MRI) of the brain …

Published reports of functional abnormalities in schizophrenia remain divergent due to lack
of staging point-of-view and whole-brain analysis. To identify key functional-connectivity …

In this paper we describe an open-access collection of multimodal neuroimaging data in
schizophrenia for release to the community. Data were acquired from approximately 100 …

The hemodynamic response function (HRF) greatly influences the intra-and inter-subject
variability of brain activation and connectivity, and might confound the estimation of temporal …

The desire to train complex machine learning algorithms and to increase the statistical
power in association studies drives neuroimaging research to use ever-larger datasets. The …

Abstract We present a Deep Learning framework for the prediction of chronological age from
structural magnetic resonance imaging scans. Previous findings associate increased brain …

Cognitive impairments are a core and persistent characteristic of schizophrenia with
implications for daily functioning. These show only limited response to antipsychotic …

The integration of diverse clinical modalities such as medical imaging and the tabular data
extracted from patients' Electronic Health Records (EHRs) is a crucial aspect of modern …