The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Cognitive Flexibility through Metastable Neural Dynamics Is Disrupted by Damage to the Structural Connectome
Open accessAbstract
Current theory proposes that healthy neural dynamics operate in a metastable regime, where brain regions interact to simultaneously maximize integration and segregation. Metastability may confer important behavioral properties, such as cognitive flexibility. It is increasingly recognized that neural dynamics are constrained by the underlying structural connections between brain regions. An important challenge is, therefore, to relate structural connectivity, neural dynamics, and behavior. Traumatic brain injury (TBI) is a pre-eminent structural disconnection disorder whereby traumatic axonal injury damages large-scale connectivity, producing characteristic cognitive impairments, including slowed information processing speed and reduced cognitive flexibility, that may be a result of disrupted metastable dynamics. Therefore, TBI provides an experimental and theoretical model to examine how metastable dynamics relate to structural connectivity and cognition. Here, we use complementary empirical and computational approaches to investigate how metastability arises from the healthy structural connectome and relates to cognitive performance. We found reduced metastability in large-scale neural dynamics after TBI, measured with resting-state functional MRI. This reduction in metastability was associated with damage to the connectome, measured using diffusion MRI. Furthermore, decreased metastability was associated with reduced cognitive flexibility and information processing. A computational model, defined by empirically derived connectivity data, demonstrates how behaviorally relevant changes in neural dynamics result from structural disconnection. Our findings suggest how metastable dynamics are important for normal brain function and contingent on the structure of the human connectome.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Using both empirical and computational approaches, Hellyer et al. (2015) showed that reduced metastability arising from damage to the structural connectome was associated with diminished cognitive flexibility and impaired information processing.”
From The body does not keep the score: trauma, predictive coding, and the restoration of metastability (2026) · cites this paper as Hellyer et al. (2015)
The cited source says what the claim attributes to it.
In the citing paper
“The Hellyer et al. (2015) findings on metastability reduction pertain to traumatic brain injury, a neurologically distinct condition, and the conflation of structural connectome damage with the functional dysregulation characteristic of PTSD would be unwarranted.”
From The body does not keep the score: trauma, predictive coding, and the restoration of metastability (2026) · cites this paper as Hellyer et al. (2015)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
Complex network measures of brain connectivity: Uses and interpretations
Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522
Strogatz, S. H. (2001) · Nature · doi:10.1038/35065725 · Cited by 8,236
VALIDITY OF THE TRAIL MAKING TEST AS AN INDICATOR OF ORGANIC BRAIN DAMAGE
Reitan, R. M. (1958) · Perceptual and Motor Skills · doi:10.2466/pms.1958.8.3.271 · Cited by 8,167
Chemical Oscillations, Waves, and Turbulence
Kuramoto, Y. (1984) · Springer series in synergetics · doi:10.1007/978-3-642-69689-3 · Cited by 7,242
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Smith, S. M., Jenkinson, M., Johansen‐Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,598
Nonparametric permutation tests for functional neuroimaging: A primer with examples
Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256
Baddeley, A. (1992) · Science · doi:10.1126/science.1736359 · Cited by 5,258
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150
Research works printed but not linked: 1
- Baddeley A (1986) Working memory. Oxford: Clarendon.
Cited by
Sorted by citations
Brain networks under attack: robustness properties and the impact of lesions
Aerts, H., Fias, W., Caeyenberghs, K., & Marinazzo, D. (2016) · Brain · doi:10.1093/brain/aww194 · Cited by 310
How critical is brain criticality?
O’Byrne, J., & Jerbi, K. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.08.007 · Cited by 283
Traumatic brain injury as a disorder of brain connectivity
Hayes, J. P., Bigler, E. D., & Verfaellie, M. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617715000740 · Cited by 242
Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin
Lord, L.-D., Expert, P., Atasoy, S., Roseman, L., Rapuano, K. M., Lambiotte, R., Nutt, D., Deco, G., Carhart-Harris, R. L., Kringelbach, M. L., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.05.060 · Cited by 221
Brain network dynamics in high-functioning individuals with autism
Watanabe, T., & Rees, G. (2017) · Nature Communications · doi:10.1038/ncomms16048 · Cited by 165
Metadata
- Authors
- Hellyer, P. J., Scott, G., Shanahan, M., Sharp, D. J., & Leech, R.
- Affiliations
- King's College London (GB)
- Hammersmith Hospital (GB)
- Imperial College London (GB)
- Venue
- Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2015-06-17
- Volume
- 35
- Issue
- 24
- Pages
- 9050-9063
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC4469735
- OpenAlex
- W1574896211
- Cited by
- 187
- References
- 80
- Citations by year
- 2026: 14 · 2025: 21 · 2024: 22 · 2023: 24 · 2022: 26 · 2021: 12 · 2020: 13 · 2019: 12 · 2018: 12 · 2017: 20 · 2016: 9 · 2015: 2
- FWCI
- 8.62
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- Funders
- GlaxoSmithKline
- Wellcome Trust
- National Institute for Health and Care Research (NIHR-RP-011-048)
- Medical Research Council
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Clinical Neurology › Traumatic Brain Injury Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- structural connectome, cognitive flexibility, traumatic brain injury, structural disconnection, processing speed, resting-state fMRI, diffusion MRI
- MeSH terms
- Adolescent, Adult, Brain, Brain Injuries, Cognition, Cognition Disorders, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Nerve Net, Neural Pathways, Young Adult, Connectome
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review