Functional system and areal organization of a highly sampled individual human brain
Open accessAbstract
Resting state functional MRI (fMRI) has enabled description of group-level functional brain organization at multiple spatial scales. However, cross-subject averaging may obscure patterns of brain organization specific to each individual. Here, we characterized the brain organization of a single individual repeatedly measured over more than a year. We report a reproducible and internally valid subject-specific areal-level parcellation that corresponds with subject-specific task activations. Highly convergent correlation network estimates can be derived from this parcellation if sufficient data are collected-considerably more than typically acquired. Notably, within-subject correlation variability across sessions exhibited a heterogeneous distribution across the cortex concentrated in visual and somato-motor regions, distinct from the pattern of intersubject variability. Further, although the individual's systems-level organization is broadly similar to the group, it demonstrates distinct topological features. These results provide a foundation for studies of individual differences in cortical organization and function, especially for special or rare individuals. VIDEO ABSTRACT.
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It has become possible to construct a resting-state fMRI-based connectome map with high test-retest reliability in an individual subject.
“In recent years, it has become possible to construct a resting-state functional magnetic resonance imaging (rsfMRI)-based connectome map with high test–retest reliability in an individual subject (36, 37).”
Individual brains, even among typical subjects, are distinguishable via their functional connectomes.
“individual brains, even among typical subjects, are distinguishable via their functional connectomes (Finn et al., 2015; Laumann et al., 2015; Miranda-Dominguez et al., 2014b).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Laumann et al., 2015
These reliability effects may largely result from insufficient data acquisition.
“Recent evidence suggests that these effects may largely result from insufficient data acquisition.”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Laumann et al., 2015
FC networks in one highly sampled individual converged as a function of the timeseries length used to extract correlations and were extremely reproducible using approximately 1 hour of motion-free data.
“FC networks in one highly sampled individual converged as a function of the timeseries length used to extract correlations and were extremely reproducible using approximately 1 hour of motion-free data (Laumann et al., 2015).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Laumann et al., 2015
Functional divisions may differ across subjects, which is a limitation of the parcellation.
“however it bears mention that functional divisions may differ across subjects (Laumann et al., 2015)”
From The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance (2016) · cites this paper as Laumann et al., 2015
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- Authors
- Laumann, T. O., Gordon, E. M., Adeyemo, B., Snyder, A. Z., Joo, S. J., Chen, M.-Y., Gilmore, A. W., McDermott, K. B., Nelson, S. M., Dosenbach, N. U. F., Schlaggar, B. L., Mumford, J. A., Poldrack, R. A., & Petersen, S. E.
- Affiliations
- Washington University in St. Louis (US)
- The University of Texas at Austin (US)
- The University of Texas at Dallas (US)
- University of Wisconsin–Madison (US)
- Corresponding author
- Laumann, Timothy O.
- ORCID
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 87
- Issue
- 3
- Pages
- 657-670
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC4642864
- OpenAlex
- W1687468892
- Cited by
- 911
- References
- 55
- Citations by year
- 2026: 66 · 2025: 87 · 2024: 102 · 2023: 95 · 2022: 83 · 2021: 88 · 2020: 86 · 2019: 80 · 2018: 78 · 2017: 73 · 2016: 58 · 2015: 15
- FWCI
- 44.93
- 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 (5u54mh091657-05, UL1TR000448)
- U.S. Public Health Service (NICHDP30 HD062171)
- National Institute of Mental Health (F30MH100872, MH091657, MH100872, U54-MH091657)
- National Institute of Neurological Disorders and Stroke (R01NS046424, NS46424, K23NS088590, NS61144, P30NS048056, R21NS061144, NS088590)
- National Center for Advancing Translational Sciences
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P30HD062171, K12HD076224)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- resting-state fMRI, correlation networks, interindividual variability, brain functional organization, individual differences, cortical organization, network topology, visual cortex
- MeSH terms
- Adult, Brain, Brain Mapping, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Psychomotor Performance
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