Cited by 188Functional Brain Connectivity StudiesTraumatic Brain Injury ResearchAdvanced Neuroimaging Techniques and Applications

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Cognitive Flexibility through Metastable Neural Dynamics Is Disrupted by Damage to the Structural Connectome

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Hellyer, P. J., Scott, G., Shanahan, M., Sharp, D. J., Leech, R.·2015·Journal of Neuroscience

DOI 10.1523/jneurosci.4648-14.2015PMC PMC4469735

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Abstract

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.

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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
Exploring complex networks
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
Working Memory
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

Show all 80 references

Research works printed but not linked: 1

Baddeley A (1986) Working memory. Oxford: Clarendon.

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Venkatesan, U. M., & Hillary, F. G. (2019) · Neuropsychology · doi:10.1037/neu0000553 · Cited by 10
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Naik, S., Subbareddy, O., Banerjee, A., Roy, D., & Bapi, R. S. (2017) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2017.7966435 · Cited by 10
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Wu, Y., Fan, L., Chen, W., Su, X., An, S., Yao, N., Zhu, Q., Huang, Z., & Li, Y. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121108 · Cited by 9
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Martínez‐Molina, N., Escrichs, A., Perl, Y. S., Sihvonen, A. J., Särkämö, T., Kringelbach, M. L., & Deco, G. (2023) · Network Neuroscience · doi:10.1162/netn_a_00346 · Cited by 11
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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)
ORCID: Hellyer, P. J.
Scott, G.
Shanahan, M.
Sharp, D. J.
Leech, R.
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
DOI: 10.1523/jneurosci.4648-14.2015
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

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Cognitive Flexibility through Metastable Neural Dynamics Is Disrupted by Damage to the Structural Connectome

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