John Darrell Van Horn

Associate Professor of Clinical Neurology,
Neuroscience, and Engineering (by Courtesy)
USC Mark and Mary Stevens Neuroimaging and Informatics Institute (INI)
Laboratory of Neuro Imaging (LONI)
Department of Neurology

John Darrell Van Horn

Research Images

A circular depiction of white matter fiber connectivity in the human brain.  See Irimia et al, Neuro Image, 2011, for details.A sagittal view of white matter fiber tracts in the living brainA data processing A map of cortical thickness.Lesion load mapping.A high-resolution tetrahedral mesh model of brain regional parcellations.

Research Overview

Prior to coming to USC, I was previously on the faculty at Dartmouth College (2000-2007) and at the University of California Los Angeles (UCLA; 2007-2013), conducting work using neuroimaging methods to examine patterns of functional activation, structural morphometry, and regional connectivity. My work has been published in many top-tier journals (e.g. Nature Neuroscience, NeuroImage, Journal of Neurotrauma, PLoS ONE, Scientific Reports, PNAS, among others).

My research program is centered on the informatics of neuroimaging and related biomedical data for the identification of patterns and biomarkers in brain health and disease. This work focuses on the multimodal neuroimaging of normal subjects, those with brain trauma, and age-related disease, contrasting patterns of neuroanatomy, the quantification of brain connectomics, brain function, and the role of computational approaches to dealing with large-scale neuroscience data. In each of these areas I am a recognized expert and much sought after collaborator. In total, I have published >150 research articles and chapters. My current h-index is 50 (as of March 2019), representing the impressive impact of my scholarly work in our field.

My formal university teaching has included undergraduate courses on functional neuroimaging using fMRI and, most recently, human neuroanatomy. I have also given numerous lectures on neuroimaging-related topics to graduate students. I have supervised several graduate students and post-doctoral fellows doing work relevant to neuroimaging applications in traumatic brain injury, bipolar disorder, and brain aging. I have also worked with engineering and mathematics students on quantitative methods for neuroimage data processing. Through the USC Mark and Mary Stevens Neuroimaging and Informatics Institute (INI; at USC, I work closely with the director to develop graduate training activities in the area of neuroimaging, informatics, quantitative analysis, visualization, as well as basic and clinical applications (e.g. neurotrauma, stroke, etc).

As a faculty member in the USC NGP program, I am honored to help program leaders and committee chairpersons with the selection of graduate students and taking part in developing new programmatic courses and content.

Most importantly, I look forward to opportunities for advising and mentoring USC NGP students conducting their research in neuroimaging methods, brain mapping and analysis, clinical neuroscience, connectomic modeling, etc. I am committed to recruiting top students to the program and actively participate in recruitment events, retreats, and fund raising opportunities. Moreover, I seek to attract NGP Ph.D. students to our USC Mark and Mary Stevens Neuroimaging and Informatics Institute, provide scientific guidance, as well as financial support during their dissertation studies. I have previous experience in all of these areas and feel that its fantastic that I am able to apply them further toward USC Neuroscience Graduate Program education and training.

Contact Information

Mailing Address USC Mark and Mary Stevens Neuroimaging and Informatics Institute
Keck School of Medicine of USC
University of Southern California
2025 Zonal Avenue, SHN
Los Angeles, CA 90033
Office Location SHN-216
Office Phone (323) 442-7246
Lab Location SSH-216
Lab Phone
Office Location SHN-216



  • Ph.D. - University of London
  • M.Eng. - University of Maryland College Park
  • B.A. - Eastern Washington University
  • Post-Doc - National Institute of Mental Health

Selected Publications

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