Dr. Calhoun has dedicated his career to increasing our understanding of the human brain by integrating multiple modalities of data and developing algorithms that map dynamic networks of brain function, structure and genetics. At Datalytic Solutions, Vince brings his world-class expertise in drawing meaningful and accurate conclusions from incredibly large and diverse datasets to our clients’ data challenges.
O. Demirci, V. P. Clark, V. Magnotta, N. C. Andreasen, J. Lauriello, K. A. Kiehl, G. D. Pearlson, and V. D. Calhoun, "A Review of Challenges in the use of fMRI for Disease Classification / Characterization and A Projection Pursuit Application from Multi-site fMRI Schizophrenia Study," Brain Imaging and Behavior, vol. 2, pp. 207-226, 2008, PMC2701746.
Potluru, V. K., Plis, S. M., Mørup, M., Calhoun, V. D., & Lane, T. (2009, January). Efficient Multiplicative Updates for Support Vector Machines. In SDM (pp. 1220-1231).
J. Arribas, V. D. Calhoun, and T. Adalı, "Automatic Bayesian classification of healthy controls, bipolar disorder and schizophrenia using intrinsic connectivity maps from fMRI data," IEEE Trans Biomed Eng, vol. 57, pp. 2850-2860, 2010, PMC Pending #241486.
W. Du, V. D. Calhoun, H. Li, S. Ma, T. Eichele, K. A. Kiehl, G. D. Pearlson, and T. Adalı, "High Classification Accuracy for Schizophrenia with Rest and Task fMRI Data," Frontiers in Human Neuroscience, vol. 6, pp. 1-12, 2012.
M. Arbabshirani, K. A. Kiehl, G. Pearlson, and V. D. Calhoun, "Classification of schizophrenia patients based on resting-state functional network connectivity " Frontiers in Brain Imaging Methods, vol. 7, pp. 1-16, 2013
E. Castro, V. Gomez-Verdejo, M. Martinez-Ramon, K. A. Kiehl, and V. D. Calhoun, "A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: application to schizophrenia," NeuroImage, vol. 87, pp. 1-17, 2014
S. M. Plis, V. D. Calhoun, M. P. Weisend, and T. Lane, "MEG and fMRI fusion for nonlinear estimation of neural and BOLD signal changes," Frontiers in Neuroinformatics, vol. 4, pp. 1-17, 2010
Plis, S. M., Weisend, M. P., Damaraju, E., Eichele, T., Mayer, A., Clark, V. P., ... & Calhoun, V. D. (2011). Effective connectivity analysis of fMRI and MEG data collected under identical paradigms. Computers in biology and medicine, 41(12), 1156-1165.
J. Sui, H. He, G. D. Pearlson, T. Adalı, K. A. Kiehl, Q. Yu, V. P. Clark, E. Castro, T. White, B. Mueller, B. C. Ho, N. C. Andreasen, and V. D. Calhoun, "Three-Way (N-way) Fusion of Brain Imaging Data Based on mCCA+jICA and Its Application to Discriminating Schizophrenia," NeuroImage, vol. 66, pp. 119-132, 2013
R. Silva, S. M. Plis, T. Adalı, and V. D. Calhoun, "A Statistically Motivated Simulation Framework for Data Fusion Models Applied to Neuroimaging," NeuroImage, 2013
V. D. Calhoun and T. Adalı, "Feature-based Fusion of Medical Imaging Data," IEEE Transactions on Information Technology in Biomedicine, vol. 13, pp. 1-10, 2009, PMC2737598.
Roy, Sushmita, Sergey Plis, Margaret Werner-Washburne, and Terran Lane. "Scalable learning of large networks." IET systems biology 3, no. 5 (2009): 404-413.
T. Eichele, V. D. Calhoun, and S. Debener, "Mining EEG-fMRI using Independent component analysis," Int. J. Psych., vol. 73, pp. 53-61, 2009, PMC2693483.
Michael, A. M., King, M. D., Ehrlich, S., Pearlson, G., White, T., Holt, D. J., ... & Calhoun, V. D. (2011). A data-driven investigation of gray matter–function correlations in schizophrenia during a working memory task. Frontiers in human neuroscience, 5.
J. Sui, T. Adalı, Q. Yu, and V. D. Calhoun, "A Review of Multivariate Methods for Multimodal Fusion of Brain Imaging Data," Journal of Neuroscience Methods, vol. 204, pp. 68-81, 2012, PMC3690333.
V. D. Calhoun and T. Adalı, "Multi-subject Independent Component Analysis of fMRI: A Decade of Intrinsic Networks, Default Mode, and Neurodiagnostic Discovery," IEEE Reviews in Biomedical Engineering, vol. 5, pp. 60-73, 2012, PMC23231989.
J. Liu and V. Calhoun, "A review of multivariate analyses in imaging genetics," Frontiers in Neuroinformatics, vol. 8, pp. 1-11, 2014, PMC Journal - In Process.
M. King, D. Wood, B. Miller, R. Kelly, W. Courtney, D. Landis, R. Wang, J. Turner, and V. D. Calhoun, "Automated collection of imaging and phenotypic data to centralized and distributed data repositories," Frontiers in Neuroinformatics, in press.
Wood, Dylan, Margaret King, Drew Landis, William Courtney, Runtang Wang, Jessica Turner, and Vince D. Calhoun. "Harnessing modern web-application technology to create intuitive and efficient data visualization and sharing tools." Frontiers in Neuroinformatics: in press.
Sarwate, Anand D., Sergey M. Plis, Jessica A. Turner, Mohammad R. Arbabshirani, and Vince D. Calhoun. "Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation." Frontiers in neuroinformatics 8 (2014).
Scott, Adam, William Courtney, Dylan Wood, Raul De la Garza, Susan Lane, Runtang Wang, Margaret King, Jody Roberts, Jessica A. Turner, and Vince D. Calhoun. "COINS: an innovative informatics and neuroimaging tool suite built for large heterogeneous datasets." Frontiers in neuroinformatics 5 (2011): 33.