Vince Daniel Calhoun

Assistant Professor

1993 …2019
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Research Output 1993 2019

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Review article
2018

A perspective of the cross-tissue interplay of genetics, epigenetics, and transcriptomics, and their relation to brain based phenotypes in schizophrenia

Liu, J., Chen, J., Perrone-Bizzozero, N. & Calhoun, V. D., Aug 23 2018, In : Frontiers in Genetics. 9, AUG, 343

Research output: Contribution to journalReview article

Epigenomics
Schizophrenia
Phenotype
Brain
Induced Pluripotent Stem Cells

Moving beyond ERP components: A selective review of approaches to integrate EEG and behavior

Bridwell, D. A., Cavanagh, J. F., Collins, A. G. E., Nunez, M. D., Srinivasan, R., Stober, S. & Calhoun, V. D., Mar 26 2018, In : Frontiers in Human Neuroscience. 12, 106

Research output: Contribution to journalReview article

Evoked Potentials
Electroencephalography
Cognition
Brain
Joints

The Dangers of Following Trends in Research: Sparsity and Other Examples of Hammers in Search of Nails

Adali, T., Trussell, H. J., Hansen, L. K. & Calhoun, V. D., Jun 1 2018, In : Proceedings of the IEEE. 106, 6, p. 1014-1018 5 p.

Research output: Contribution to journalReview article

Nails
Hammers
Computer science
Industry
2017

Time-Resolved Resting-State Functional Magnetic Resonance Imaging Analysis: Current Status, Challenges, and New Directions

Keilholz, S., Caballero-Gaudes, C., Bandettini, P., Deco, G. & Calhoun, V., Oct 1 2017, In : Brain Connectivity. 7, 8, p. 465-481 17 p.

Research output: Contribution to journalReview article

Magnetic Resonance Imaging
Brain
Research Personnel
Direction compound
2016

Large-scale functional network overlap is a general property of brain functional organization: Reconciling inconsistent fMRI findings from general-linear-model-based analyses

Xu, J., Potenza, M. N., Calhoun, V. D., Zhang, R., Yip, S. W., Wall, J. T., Pearlson, G. D., Worhunsky, P. D., Garrison, K. A. & Moran, J. M., Dec 1 2016, In : Neuroscience and Biobehavioral Reviews. 71, p. 83-100 18 p.

Research output: Contribution to journalReview article

Linear Models
Magnetic Resonance Imaging
Brain
Sensitivity and Specificity