Precision Functional Mapping of Individual Human Brains

Evan M. Gordon; Timothy O. Laumann; Adrian W. Gilmore; Dillan J. Newbold; Deanna J. Greene; Jeffrey J. Berg; Mario Ortega; Catherine Hoyt-Drazen; Caterina Gratton; Haoxin Sun; Jacqueline M. Hampton; Rebecca S. Coalson; Annie L. Nguyen; Kathleen B. McDermott; Joshua S. Shimony; Abraham Z. Snyder; Bradley L. Schlaggar; Steven E. Petersen; Steven M. Nelson; Nico U.F. Dosenbach

doi:10.1016/j.neuron.2017.07.011

Precision Functional Mapping of Individual Human Brains

Evan M. Gordon, Timothy O. Laumann, Adrian W. Gilmore, Dillan J. Newbold, Deanna J. Greene, Jeffrey J. Berg, Mario Ortega, Catherine Hoyt-Drazen, Caterina Gratton, Haoxin Sun, Jacqueline M. Hampton, Rebecca S. Coalson, Annie L. Nguyen, Kathleen B. McDermott, Joshua S. Shimony, Abraham Z. Snyder, Bradley L. Schlaggar, Steven E. Petersen, Steven M. Nelson, Nico U.F. Dosenbach

Research output: Contribution to journal › Article › peer-review

Abstract

Human functional MRI (fMRI) research primarily focuses on analyzing data averaged across groups, which limits the detail, specificity, and clinical utility of fMRI resting-state functional connectivity (RSFC) and task-activation maps. To push our understanding of functional brain organization to the level of individual humans, we assembled a novel MRI dataset containing 5 hr of RSFC data, 6 hr of task fMRI, multiple structural MRIs, and neuropsychological tests from each of ten adults. Using these data, we generated ten high-fidelity, individual-specific functional connectomes. This individual-connectome approach revealed several new types of spatial and organizational variability in brain networks, including unique network features and topologies that corresponded with structural and task-derived brain features. We are releasing this highly sampled, individual-focused dataset as a resource for neuroscientists, and we propose precision individual connectomics as a model for future work examining the organization of healthy and diseased individual human brains.

Original language	English (US)
Pages (from-to)	791-807.e7
Journal	Neuron
Volume	95
Issue number	4
DOIs	https://doi.org/10.1016/j.neuron.2017.07.011
State	Published - Aug 16 2017
Externally published	Yes

Keywords

brain networks
fMRI
functional connectivity
individual variability
myelin mapping

ASJC Scopus subject areas

General Neuroscience

Online availability

10.1016/j.neuron.2017.07.011

Library availability

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Gordon, E. M., Laumann, T. O., Gilmore, A. W., Newbold, D. J., Greene, D. J., Berg, J. J., Ortega, M., Hoyt-Drazen, C., Gratton, C., Sun, H., Hampton, J. M., Coalson, R. S., Nguyen, A. L., McDermott, K. B., Shimony, J. S., Snyder, A. Z., Schlaggar, B. L., Petersen, S. E., Nelson, S. M., & Dosenbach, N. U. F. (2017). Precision Functional Mapping of Individual Human Brains. Neuron, 95(4), 791-807.e7. https://doi.org/10.1016/j.neuron.2017.07.011

Gordon, EM, Laumann, TO, Gilmore, AW, Newbold, DJ, Greene, DJ, Berg, JJ, Ortega, M, Hoyt-Drazen, C, Gratton, C, Sun, H, Hampton, JM, Coalson, RS, Nguyen, AL, McDermott, KB, Shimony, JS, Snyder, AZ, Schlaggar, BL, Petersen, SE, Nelson, SM & Dosenbach, NUF 2017, 'Precision Functional Mapping of Individual Human Brains', Neuron, vol. 95, no. 4, pp. 791-807.e7. https://doi.org/10.1016/j.neuron.2017.07.011

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abstract = "Human functional MRI (fMRI) research primarily focuses on analyzing data averaged across groups, which limits the detail, specificity, and clinical utility of fMRI resting-state functional connectivity (RSFC) and task-activation maps. To push our understanding of functional brain organization to the level of individual humans, we assembled a novel MRI dataset containing 5 hr of RSFC data, 6 hr of task fMRI, multiple structural MRIs, and neuropsychological tests from each of ten adults. Using these data, we generated ten high-fidelity, individual-specific functional connectomes. This individual-connectome approach revealed several new types of spatial and organizational variability in brain networks, including unique network features and topologies that corresponded with structural and task-derived brain features. We are releasing this highly sampled, individual-focused dataset as a resource for neuroscientists, and we propose precision individual connectomics as a model for future work examining the organization of healthy and diseased individual human brains.",

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AU - McDermott, Kathleen B.

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AU - Schlaggar, Bradley L.

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AU - Nelson, Steven M.

AU - Dosenbach, Nico U.F.

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Precision Functional Mapping of Individual Human Brains

Abstract

Keywords

ASJC Scopus subject areas

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