Christopher Ching

Assistant Professor Of Research Neurology

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Overview

Dr. Ching is an Assistant Professor at The Imaging Genetics Center, part of the Mark and Mary Stevens Neuroimaging and Informatics Institute, where his research focuses on neuroimaging and genomic markers of psychiatric and neurodegenerative disorders. As a core organizing member of the Enhancing Neuro Imaging Genetics through Meta-Analysis Consortium (ENIGMA), he designs and implements standardized processing and analysis techniques for large-scale, international neuroimaging studies for a wide range of brain conditions. He leads the ENIGMA Bipolar Disorder Working Group, an effort including >200 researchers from around the world pooling data and resources to improve our understanding of the biological processes driving bipolar disorder. In complementary work, he studies rare copy number variants like 22q11.2 Deletion Syndrome to understand how certain rare genetic mutations can lead to increased risk for developing psychiatric illness. Finally, he leads several large-scale transdiagnostic neuroimaging and genomic initiatives mapping the common and distinct brain and clinical factors across a range of serious mental illnesses.

Awards

  • USC: Postdoctoral Fellowship in Biomarkers in Alzheimer’s Disease NIAT32AG058507, 2019
     – 2021
  • UCLA: Neurobehavioral Genetics Predoctoral Fellowship, NIH/NIMH 5T32MH073526, 2015
     – 2016
  • UCLA: Neuroimaging Training Program, National Institutes of Health, R90 DA022768 and T90 DA023422, 2012
     – 2013
  • UCLA: National Science Foundation Alliance for Graduate Education and the Professoriate Grant, 2012
     – 2012

Education and Training

  • UCLA — PhD — Neuroscience
  • Pomona College — BA — Neuroscience/Philosophy

Research Keywords

  • Neuroscience
  • Neuoroimaging
  • Psychiatric Disorders
  • Genetics
  • Neurodegenerative Disease

Publications

  • Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning model. Mol Psychiatry. 2026 Mar; 31(3):1517-1529.. View in PubMed
  • Neuroimaging insights into brain mechanisms of early-onset restrictive eating disorders. Nat Ment Health. 2025; 3(7):780-788.. View in PubMed
  • Cortical differences across psychiatric disorders and associated common and rare genetic variants. medRxiv. 2025 Apr 19.. View in PubMed
  • Mapping Structural Neuroimaging Trajectories in Bipolar Disorder: Neurobiological and Clinical Implications. Biol Psychiatry. 2025 Aug 15; 98(4):311-321.. View in PubMed
  • Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning Model. ArXiv. 2025 Jan 24.. View in PubMed
  • Predicting Antidepressant Treatment Response From Cortical Structure on MRI: A Mega-Analysis From the ENIGMA-MDD Working Group. Hum Brain Mapp. 2025 01; 46(1):e70053.. View in PubMed
  • Neuroimaging Insights into Brain Mechanisms of Early-onset Restrictive Eating Disorders. medRxiv. 2024 Nov 13.. View in PubMed
  • ENIGMA-Meditation: Worldwide Consortium for Neuroscientific Investigations of Meditation Practices. Biol Psychiatry Cogn Neurosci Neuroimaging. 2025 Apr; 10(4):425-436.. View in PubMed
  • White matter microstructure in obesity and bipolar disorders: an ENIGMA bipolar disorder working group study in 2186 individuals. Mol Psychiatry. 2025 May; 30(5):1770-1779.. View in PubMed
  • A Surface-based deep learning approach for cortical shape analysis. bioRxiv. 2024 Oct 29.. View in PubMed