Individual variability in functional connectivity predicts performance of a perceptual task
Open accessAbstract
People differ in their ability to perform novel perceptual tasks, both during initial exposure and in the rate of improvement with practice. It is also known that regions of the brain recruited by particular tasks change their activity during learning. Here we investigate neural signals predictive of individual variability in performance. We used resting-state functional MRI to assess functional connectivity before training on a novel visual discrimination task. Subsequent task performance was related to functional connectivity measures within portions of visual cortex and between visual cortex and prefrontal association areas. Our results indicate that individual differences in performing novel perceptual tasks can be related to individual differences in spontaneous cortical activity.
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Anatomical variability between individuals can be observed at different levels such as cortical morphology, cytoarchitecture, task-evoked activation, or dMRI connectivity pattern.
“This variability can be observed at different levels such as in cortical morphology, cytoarchitecture, task-evoked activation, or in dMRI connectivity pattern (65–68).”
From Superior Longitudinal Fasciculus: A Review of the Anatomical Descriptions With Functional Correlates (2022) · cites this paper as [66]
The Discussion (page unavailable) proposes individual variability in structural connectivity as a possible explanation for its functional-connectivity findings. It does not establish the claimed anatomical variability across cortical morphology, cytoarchitecture, task-evoked activation, and dMRI connectivity patterns; the study measured resting-state functional connectivity, not dMRI connectivity. (LLM, conf=0.79)
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- Authors
- Baldassarre, A., Lewis, C. M., Committeri, G., Snyder, A. Z., Romani, G. L., & Corbetta, M.
- Affiliations
- University of Chieti-Pescara (IT)
- Institute for Advanced Biomedical Technologies, Foundation G. d'Annunzio, Chieti 66100, Italy;
- Washington University in St. Louis (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2012-02-06
- Volume
- 109
- Issue
- 9
- Pages
- 3516-3521
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3295318
- OpenAlex
- W2056869312
- Cited by
- 281
- References
- 8
- Citations by year
- 2026: 7 · 2025: 16 · 2024: 12 · 2023: 17 · 2022: 13 · 2021: 16 · 2020: 20 · 2019: 15 · 2018: 19 · 2017: 28 · 2016: 30 · 2015: 31 · 2014: 16 · 2013: 29 · 2012: 11
- FWCI
- 14.26
- Type
- journal article
- Language
- en
- Update notices
- correction (2016-10-17)
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- Padua Research Archive (University of Padova) (submittedVersion, cc-by-nc-nd)
- Funders
- National Institute of Mental Health (R01MH096482)
- National Institute of Neurological Disorders and Stroke (R01NS048013, NS48013)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- individual differences, functional connectivity, resting-state brain activity, perceptual learning, visual discrimination task, visual cortex, task performance prediction, spontaneous cortical activity
- MeSH terms
- Adult, Auditory Cortex, Brain Mapping, Discrimination, Psychological, Female, Form Perception, Humans, Individuality, Learning, Magnetic Resonance Imaging, Male, Nerve Net, Parietal Lobe, Psychomotor Performance, Visual Cortex, Visual Pathways, Prefrontal Cortex, Principal Component Analysis, Young Adult
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