Vince D. Calhoun

Vince D. Calhoun
Professor

Honors and Distinctions:
IEEE Fellow
AAAS fellow

Additional Titles: • Director, Image Analysis and MR Research, The Mind Research Network • Adjunct Associate Professor, Yale University Department of Psychiatry • Associate Professor, UNM Neurosciences and Computer Science departments

Contact Information:
(505) 272-1817
vcalhoun@ece.unm.edu
faculty website

Degrees: PhD, Electrical Engineering, University of Maryland, Baltimore, 2002 MS, Information Systems, Johns Hopkins University, Baltimore, 1996 MA, Biomedical Engineering, Johns Hopkins University, 1993 BS, Electrical Engineering, University of Kansas, Lawrence, 1991

Developing data-driven approaches to the analysis of functional magnetic resonance imaging (fMRI) data has occupied much of Dr. Calhoun’s career. His work includes data fusion approaches for MRI (functional imaging, diffusion tensor imaging, and structural imaging), electroencephalography, and genetics in the areas of image processing, adaptive signal processing, estimation theory, neural networks, statistical signal processing, and pattern recognition.

Current Research Dr. Calhoun in 2008 received a $2.8M National Institutes of Health grant for research on “A unified framework for flexible brain image analysis.” Methods he is developing to differentiate healthy controls from patients with schizophrenia and bipolar disorder are supported by a 2007 $1.5M grant from the NIH and a grant from the NARSAD foundation.

Honors and Distinctions Dr. Calhoun received the 2008 Junior Faculty Research Excellence Award from UNM’s School of Engineering, the 2006 Young Investigator Award from the American College of Neuropsychopharmacology, of which he is a member, and the 2004 Early Career Investigator Award from the International Society for Neuroimaging in Psychiatry.

Recent Publications A paper co-authored by Dr. Calhoun was ranked among the 50 Most- Frequently Read Papers on the website Proceedings of the National Academy of Sciences during April 2008. Titled “Prediction of Human Errors by Maladaptive Changes in Event-Related Brain Networks,” the research was reported in The Economist, The New York Times, Wired magazine, and the U.K.’s Daily Telegraph.

Two of the papers he co-authored were published in the Human Brain Mapping Journal. One, with his post doc research scientist Dr. Jingyu Liu, presents a method of combining genetic information across multiple genes with brain imaging to reveal genetic signatures that may have functional consequences for schizophrenia. The second describes an approach for classifying schizophrenia, bipolar disorder, and healthy people using fMRI data.

Dr. Calhoun is advisor to 10 graduate students and three post docs. He is a senior member of IEEE and a member of the Organization for Human Brain Mapping and the International Society for Magnetic Resonance in Medicine.