Precision Functional Mapping of Individual Human Brains
Open accessAbstract
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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Core nodes of the salience network include the anterior cingulate cortex, the anterior insula, the superior temporal gyrus, and the amygdala, though involvement of the supramarginal gyrus and premotor cortices has also been reported.
“Core nodes of this network include the anterior cingulate cortex, the anterior insula, the superior temporal gyrus, and the amygdala (Seeley et al. 2007; Yeo et al. 2011; Gordon et al. 2017; Seeley 2019), though the involvement of supramarginal gyrus and premotor cortices have been also reported (Fox et al. 2006; Corbetta and Shulman 2011).”
From Neuroanatomical correlates of peripersonal space: bridging the gap between perception, action, emotion and social cognition (2024) · cites this paper as Gordon et al. 2017
In Results, the paper describes a salience-network feature connected with the pregenual cingulate and ventral insula. It does not identify the anterior cingulate, anterior insula, superior temporal gyrus, and amygdala as the network’s core nodes. The later clause about supramarginal gyrus and premotor cortices is attributed to other citations, not Gordon et al. (LLM, conf=0.83)
Experimental — accuracy not yet measuredStudies with long scan times have revealed that both task-based and resting-state brain activity measures can be obtained with high reliability and precision, allowing researchers to focus on individuals rather than groups.
“Studies with these long scan times have revealed that both task-based and resting-state brain activity measures can be obtained with high reliability and precision, allowing researchers to focus on individuals rather than on groups.”
From Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders (2021) · cites this paper as [107]
Precision brain-mapping has shown individual differences in the organization of functional networks across the cerebral cortex and in subcortical structures such as the amygdala.
“Precision brain-mapping, which involves the collection of several hours of imaging data from individual patients, has shown individual differences in the organization of functional networks across the cerebral cortex,104–107 as well as in subcortical structures such as the amygdala.108”
From Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders (2021) · cites this paper as [107]
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“…as the dorsal frontoparietal network or dorsal attention network (Corbetta and Shulman 2002; Szczepanski et al. 2013); this network may also expand to include the PMV or corresponding areas, such as the inferior frontal junction (Toro et al. 2008; Corbetta and Shulman 2011; Gordon et al. 2017).”
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- Authors
- 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.
- Affiliations
- The University of Texas at Dallas (US)
- Washington University in St. Louis (US)
- National Institutes of Health (US)
- New York University (US)
- Baylor University (US)
- Corresponding author
- Gordon, Evan M.
- Laumann, Timothy O.
- Nelson, Steven M.
- Dosenbach, Nico U.F.
- ORCID
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2017-08
- Volume
- 95
- Issue
- 4
- Pages
- 791-807.e7
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC5576360
- OpenAlex
- W2741941708
- Cited by
- 1,335
- References
- 109
- Citations by year
- 2026: 163 · 2025: 183 · 2024: 183 · 2023: 163 · 2022: 146 · 2021: 184 · 2020: 124 · 2019: 98 · 2018: 77 · 2017: 13
- FWCI
- 48.99
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (NS088590, TR000448, MH104592, 1P30NS098577, HD087011)
- Jacobs Foundation (2016121703)
- Child Neurology Foundation
- McDonnell Center for Systems Neuroscience
- Mallinckrodt Institute of Radiology
- Hope Center for Neurological Disorders
- American Psychological Association
- Dart Neuroscience LLC
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- resting-state functional connectivity, task-based fMRI, brain network topology, structural MRI, neuropsychological assessment, brain functional organization
- MeSH terms
- Adult, Analysis of Variance, Brain, Brain Mapping, Female, Humans, Image Processing, Computer-Assisted, Individuality, Magnetic Resonance Imaging, Male, Models, Neurological, Myelin Sheath, Neural Pathways, Oxygen, Rest, Reproducibility of Results, Young Adult, Connectome
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