Vince Calhoun

American engineer and neuroscientist (Born 1967)

Vince D. Calhoun

Born|  (1967-10-01) 1 October 1967 (age 57)
Nationality| American
Alma mater| University of Maryland, Baltimore County
Scientific career
Fields| Electrical engineering
Institutions| Tri-institutional Center
Georgia Institute of Technology
University of New Mexico
Doctoral advisor| Tülay Adalı

Vince Daniel Calhoun is an American engineer and neuroscientist. He directs the Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), a partnership between Georgia State University, Georgia Institute of Technology, and Emory University, and holds faculty appointments at all three institutions. He was formerly the President of the Mind Research Network and a Distinguished Professor of Electrical and Computer Engineering at the University of New Mexico.

## Education

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1. B.S. in electrical engineering, University of Kansas, Lawrence, KS (1991)
2. M.A. in biomedical engineering, Johns Hopkins University, Baltimore, MD (1993)
3. M.S. in information systems, Johns Hopkins University, Baltimore, MD (1996)
4. Ph.D. in electrical engineering, University of Maryland, Baltimore County, Baltimore, MD (2002).[1]

## Career

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Calhoun is an expert on brain imaging acquisition and analysis and has created numerous algorithms for making sense of complex brain imaging data. He is the creator of the group independent component analysis algorithm,[2] which has become widely used for extracting 'networks' of coherent activity from functional magnetic resonance imaging (fMRI) data. He was also an early innovator in approaches to characterizing the dynamics of brain connectivity.[3] He has also developed techniques to link many different types of data, called 'data fusion' including various types of brain imaging (structural, functional, connectivity) with genomic and epigenomic data.[4] A key focus of Calhoun's work is the development of tool to identify brain imaging markers to help identify and potentially treat various brain disorders including schizophrenia, bipolar disorder, autism, Alzheimer's disease, and many more.[5]

## Awards

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Calhoun is a fellow of the Institute of Electrical and Electronics Engineers (IEEE), The American Association for the Advancement of Science (AAAS), The American Institute for Medical and Biological Engineering,[6] The American College of Neuropsychopharmacology,[7] and the International Society of Magnetic Resonance in Medicine (ISMRM).[8]

## References

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1. ^ "Vince Calhoun | School of Electrical and Computer Engineering at the Georgia Institute of Technology". www.ece.gatech.edu. Retrieved 2020-04-09.
2. ^ Calhoun, V.D.; Adali, T.; Pearlson, G.D.; Pekar, J.J. (November 2001). "A method for making group inferences from functional MRI data using independent component analysis" (PDF). Human Brain Mapping. 14 (3): 140–151\. CiteSeerX 10.1.1.467.1625. doi:10.1002/hbm.1048. PMC 6871952. PMID 11559959.140-151&rft.date=2001-11&rft_id=https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.467.1625#id-name=CiteSeerX&rft_id=info:pmid/11559959&rft_id=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6871952#id-name=PMC&rft_id=info:doi/10.1002/hbm.1048&rft.aulast=Calhoun&rft.aufirst=V.D.&rft.au=Adali,+T.&rft.au=Pearlson,+G.D.&rft.au=Pekar,+J.J.&rft_id=http://mialab.mrn.org/software/gift/publications/2001_HBM_GroupICA_reprint.pdf&rfr_id=info:sid/en.wikipedia.org:Vince+Calhoun" class="Z3988">
3. ^ Sakoğlu, U; Pearlson, G. D; Kiehl, K. A; Wang, Y. M; Michael, A. M; Calhoun, V. D (2010). "A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia". Magnetic Resonance Materials in Physics, Biology and Medicine. 23 (5–6): 351–66\. doi:10.1007/s10334-010-0197-8. PMC 2891285. PMID 20162320.5–6&rft.pages=351-66&rft.date=2010&rft_id=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2891285#id-name=PMC&rft_id=info:pmid/20162320&rft_id=info:doi/10.1007/s10334-010-0197-8&rft.aulast=Sakoğlu&rft.aufirst=U&rft.au=Pearlson,+G.+D&rft.au=Kiehl,+K.+A&rft.au=Wang,+Y.+M&rft.au=Michael,+A.+M&rft.au=Calhoun,+V.+D&rft_id=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2891285&rfr_id=info:sid/en.wikipedia.org:Vince+Calhoun" class="Z3988">
4. ^ Calhoun, V. D; Adali, T (2009). "Feature based fusion of medical imaging data". IEEE Transactions on Information Technology in Biomedicine. 13 (5): 711–20\. doi:10.1109/TITB.2008.923773. PMC 2737598. PMID 19273016.711-20&rft.date=2009&rft_id=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2737598#id-name=PMC&rft_id=info:pmid/19273016&rft_id=info:doi/10.1109/TITB.2008.923773&rft.aulast=Calhoun&rft.aufirst=V.+D&rft.au=Adali,+T&rft_id=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2737598&rfr_id=info:sid/en.wikipedia.org:Vince+Calhoun" class="Z3988">
5. ^ Arbabshirani, M. R; Plis, S; Sui, J; Calhoun, V. D (2017). "Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls". NeuroImage. 145 (Pt B): 137–165\. doi:10.1016/j.neuroimage.2016.02.079. PMC 5031516. PMID 27012503.137-165&rft.date=2017&rft_id=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031516#id-name=PMC&rft_id=info:pmid/27012503&rft_id=info:doi/10.1016/j.neuroimage.2016.02.079&rft.aulast=Arbabshirani&rft.aufirst=M.+R&rft.au=Plis,+S&rft.au=Sui,+J&rft.au=Calhoun,+V.+D&rft_id=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5031516&rfr_id=info:sid/en.wikipedia.org:Vince+Calhoun" class="Z3988">
6. ^ "Vince D. Calhoun, Ph.D. COF-1618 - AIMBE". Retrieved 2020-04-07.
7. ^ "Membership". ACNP. Retrieved 2020-04-07.
8. ^ "Fellows of the Society". ISMRM. Retrieved 2020-04-09.

## External links

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* Vince Calhoun publications indexed by Google Scholar

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