Ganesh Chand

Assistant Professor

Washington University in St. Louis

United States

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About

Ganesh Chand is an Assistant Professor at Washington University in St. Louis, USA. His research focuses on neuroimaging, artificial intelligence applications in psychiatry, and the underlying mechanisms of brain disorders such as schizophrenia and Alzheimer’s disease. Recent publications include studies on brain endophenotypes, multivariate regional hubs for classification, and the neuroanatomical characteristics of autism and schizophrenia.

Articles (17)

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2025

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2020

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2020

Collaborators (6)

Ginger Nicol

Associate Professor

Washington University in Saint Louis School of Medicine

UNITED STATES

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Gyujoon Hwang

Assistant Professor

Medical College of Wisconsin

UNITED STATES

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Junhao WEN

Assistant Professor

University of Southern California

UNITED STATES

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robin murray

King’s College London

UNITED KINGDOM

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Paola Dazzan

King’s College London

UNITED KINGDOM

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Aristeidis Sotiras

Assistant Professor

Washington University in St. Louis

UNITED STATES

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Ganesh Chand

Research Interests

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About

Articles (17)

Neuroimaging endophenotypes reveal underlying mechanisms and genetic factors contributing to progression and development of four brain disorders

PET clinical study of novel antipsychotic LB-102 demonstrates unexpectedly prolonged dopamine receptor target engagement

Characterizing Multivariate Regional Hubs for Schizophrenia Classification, Sex Differences, and Brain Age Estimation Using Explainable AI

An explainable AI approach for mapping multivariate regional brain age and clinical severity patterns in Alzheimer’s disease

Explainable AI-based Deep-SHAP for mapping the multivariate relationships between regional neuroimaging biomarkers and cognition

Dysregulated Salience Network Control over Default-Mode and Central-Executive Networks in Schizophrenia Revealed Using Stochastic Dynamical Causal Modeling

Psychosis brain subtypes validated in first-episode cohorts and related to illness remission

Assessment of Neuroanatomical Endophenotypes of Autism Spectrum Disorder and Association With Characteristics of Individuals With Schizophrenia and the General Population

Two Neuroanatomical Signatures in Schizophrenia: Expression Strengths Over the First 2 Years of Treatment and Their Relationships to Neurodevelopmental Compromise and Antipsychotic Treatment

Predicting cognitive dysfunction and regional hubs using Braak staging amyloid-beta biomarkers and machine learning

Schizophrenia Imaging Signatures and Their Associations With Cognition, Psychopathology, and Genetics in the General Population

Salience network anatomical and molecular markers are linked with cognitive dysfunction in mild cognitive impairment

Differential Sphingosine-1-Phosphate Receptor-1 Protein Expression in the Dorsolateral Prefrontal Cortex Between Schizophrenia Type 1 and Type 2

Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes

Neurocognitive and functional heterogeneity in depressed youth

Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning

Neurostructural Heterogeneity in Youths With Internalizing Symptoms

Collaborators (6)

Ginger Nicol

Gyujoon Hwang

Junhao WEN

robin murray

Paola Dazzan

Aristeidis Sotiras

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