President & Director of Image Analysis and MR Research, The Mind Research Network
Distinguished Professor, Departments of Electrical and Computer Engineering (primary),
Neurosciences, Computer Science, and Psychiatry
The University of New Mexico
Dr. Calhoun develops techniques for making sense of complex brain imaging data. Because each imaging modality has limitations, the integration of these data is needed to understand the healthy and especially the disordered human brain.
Dr. Calhoun has created algorithms that map dynamic networks of brain function, structure and genetics, and how these are affected while being stimulated by various tasks or in individuals with mental illness such as schizophrenia.
Dr. Calhoun recently received fellowship designations for both the American Association for the Advancement of Science (AAAS) and the Institute of Electrical and Electronics Engineers (IEEE).
The organizations recognize Dr. Calhoun for his contributions to human brain research. One of Calhoun’s most significant accomplishments is his development of advanced algorithms that identify how brain regions ‘talk’ to one another either during a specific task or when at rest.
He also recently earned the A. Earl Walker Neuroscience Research Award, which recognizes outstanding contributions to basic or clinical research in neuroscience by a member of the faculty in any UNM department.