Precision Functional Mapping of Individual Human Brains
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...
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Veröffentlicht in: | Neuron (Cambridge, Mass.) Mass.), 2017-08, Vol.95 (4), p.791-807.e7 |
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Zusammenfassung: | 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.
•Individual brain organization is qualitatively different from group-average estimates•Individualized measures of brain function become reliable with large amounts of data•Individuals exhibit distinct brain network topography and topology•We release highly sampled, multi-modal fMRI data on ten subjects as a NeuroResource
Gordon et al. demonstrate advantages of conducting whole-brain fMRI research in individual humans using large amounts of per-individual data, which greatly increases reliability and specificity. This work illustrates new approaches for fMRI-based neuroscience that allow detailed characterization of individual brain organization. |
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ISSN: | 0896-6273 1097-4199 |
DOI: | 10.1016/j.neuron.2017.07.011 |