Optimal trajectories of brain state transitions
Open accessAbstract
The complexity of neural dynamics stems in part from the complexity of the underlying anatomy. Yet how white matter structure constrains how the brain transitions from one cognitive state to another remains unknown. Here we address this question by drawing on recent advances in network control theory to model the underlying mechanisms of brain state transitions as elicited by the collective control of region sets. We find that previously identified attention and executive control systems are poised to affect a broad array of state transitions that cannot easily be classified by traditional engineering-based notions of control. This theoretical versatility comes with a vulnerability to injury. In patients with mild traumatic brain injury, we observe a loss of specificity in putative control processes, suggesting greater susceptibility to neurophysiological noise. These results offer fundamental insights into the mechanisms driving brain state transitions in healthy cognition and their alteration following injury.
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Regions with a large number of long distance connections tend to be optimal controllers.
“(in line with the overarching finding that regions with a large number of long distance connections tend to be optimal controllers79.”
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Language Tasks and the Network Control Role of the Left Inferior Frontal Gyrus
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Graph Theoretic Analysis Reveals Intranasal Oxytocin Induced Network Changes Over Frontal Regions
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Self-citationOptimal Control Costs of Brain State Transitions in Linear Stochastic Systems
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The Structured Controllability Radius of Symmetric (Brain) Networks
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Self-citationControl of brain network dynamics across diverse scales of space and time
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Self-citationKey Nodes Selection in Controlling Complex Networks via Convex Optimization
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Network Controllability Robustness Learning via Spatial Graph Neural Networks
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Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior
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Using Low-Dimensional Manifolds to Map Relationships Between Dynamic Brain Networks
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Neuronal Degeneration Impairs Rhythms Between Connected Microcircuits
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Alterations in white matter network dynamics in patients with schizophrenia and bipolar disorder
Wang, B., Zhang, S., Yu, X., Niu, Y., Niu, J., Li, D., Zhang, S., Xiang, J., Yan, T., Yang, J., et al. (2022) · Human Brain Mapping · doi:10.1002/hbm.25892 · Cited by 15 · see citing works
Network neuroscience and the connectomics revolution
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Self-citationA Computational Network Control Theory Analysis of Depression Symptoms
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The missing role of gray matter in studying brain controllability
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Controllability Analysis of Functional Brain NetworksPreprint
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Reduced resilience of brain state transitions in anti‐ N ‐methyl‐D‐aspartate receptor encephalitis
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- Authors
- Gu, S., Betzel, R. F., Mattar, M. G., Cieslak, M., Delio, P. R., Grafton, S. T., Pasqualetti, F., & Bassett, D. S.
- Affiliations
- University of Pennsylvania (US)
- Princeton University (US)
- University of California, Santa Barbara (US)
- University of California, Riverside (US)
- Corresponding author
- Bassett, Danielle S.
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2017-03
- Volume
- 148
- Pages
- 305-317
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC5489344
- OpenAlex
- W2963186114
- Cited by
- 183
- References
- 105
- Citations by year
- 2026: 9 · 2025: 19 · 2024: 20 · 2023: 19 · 2022: 22 · 2021: 19 · 2020: 23 · 2019: 16 · 2018: 21 · 2017: 13 · 2016: 1
- FWCI
- 11.46
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- NeuroImage (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion, other-oa)
- PubMed Central (acceptedVersion, cc-by-nc-nd)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Science Foundation (W911NF-10-2-0022, 1430280, 1R01HD086888-01, 1554488, 1430087, CAREER, 2-R01-DC-009209-11, 1441502, W911NF-14-1-0679)
- John D. and Catherine T. MacArthur Foundation (W911NF-10-2-0022, W911NF-14-1-0679, 2-R01-DC-009209-11, 1R01HD086888-01, BCS-1441502, PHY-1554488)
- Alfred P. Sloan Foundation (W911NF-10-2-0022, W911NF-14-1-0679, 2-R01-DC-009209-11, BCS-1441502, PHY-1554488, 1R01HD086888-01)
- National Institutes of Health (5r01ns099348-04, 2r01dc009209-11, 1r01hd086888-01)
- Office of Naval Research (BCS-1441502, PHY-1554488, W911NF-10-2-0022, W911NF-14-1-0679, CAREER PHY-1554488, 1R01HD086888-01, BCS-1430087, 2-R01-DC-009209-11)
- National Institute of Mental Health (2R01‐DC‐009209‐11, R01-DC-009209-11, R21MH106799)
- National Institute on Deafness and Other Communication Disorders (R01-DC009209)
- National Institute of Neurological Disorders and Stroke ((R01 NS099348)
- National Institute of Child Health and Human Development (1R01HD086888-01)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01 HD086888)
- Army Research Office (1R01HD086888-01, PHY-1554488, W911NF-14–1-0679, BCS-1441502, W911NF-14-1, R01-DC-009209-11, W911NF-10-2-0022, W911NF, 2-R01-DC-009209-11)
- Army Research Laboratory (W911-NF-10-2-0022, W911NF-14-1-0679, 1R01HD086888-01, PHY-1554488, W911NF, 2-R01-DC-009209-11, BCS-1441502, W911NF-10)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- brain state transitions, network control theory, white matter structure, attention, executive function, mild traumatic brain injury, cognitive states, neural dynamics
- MeSH terms
- Brain Injuries, Traumatic, Adult, Algorithms, Attention, Brain, Cerebral Cortex, Cognition, Cognition Disorders, Energy Metabolism, Female, Humans, Male, Psychomotor Performance, Diffusion Magnetic Resonance Imaging, Young Adult, Executive Function, Healthy Volunteers, White Matter
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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