Cited by 96Functional Brain Connectivity StudiesTraumatic Brain Injury ResearchAdvanced Neuroimaging Techniques and Applications

Principles of recovery from traumatic brain injury: Reorganization of functional networks

Castellanos, Nazareth P., Leyva, Inmaculada, Buldú, Javier M., Bajo, Ricardo, Paúl, Nuria, Cuesta, Pablo, Ordóñez, Victoria E., Pascua, Cristina L. +3 more·2011·NeuroImage

Abstract

Recovery after brain injury is an excellent platform to study the mechanism underlying brain plasticity, the reorganization of networks. Do complex network measures capture the physiological and cognitive alterations that occurred after a traumatic brain injury and its recovery? Patients as well as control subjects underwent resting-state MEG recording following injury and after neurorehabilitation. Next, network measures such as network strength, path length, efficiency, clustering and energetic cost were calculated. We show that these parameters restore, in many cases, to control ones after recovery, specifically in delta and alpha bands, and we design a model that gives some hints about how the functional networks modify their weights in the recovery process. Positive correlations between complex network measures and some of the general index of the WAIS-III test were found: changes in delta-based path-length and those in Performance IQ score, and alpha-based normalized global efficiency and Perceptual Organization Index. These results indicate that: 1) the principle of recovery depends on the spectral band, 2) the structure of the functional networks evolves in parallel to brain recovery with correlations with neuropsychological scales, and 3) energetic cost reveals an optimal principle of recovery.

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Crossref · 10.1016/j.neuroimage.2010.12.046

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Authors
Castellanos, N. P., Leyva, I., Buldú, J. M., Bajo, R., Paúl, N., Cuesta, P., Ordóñez, V. E., Pascua, C. L., Boccaletti, S., Maestú, F., & del-Pozo, F.
Affiliations
  • Universidad Complutense de Madrid (ES)
  • Universidad Rey Juan Carlos (ES)
  • Institute for Complex Systems (IT)
Corresponding author
  • Castellanos, Nazareth P.
  • Leyva, Inmaculada
Venue
NeuroImage
Publisher
Elsevier BV
Published
2011-04
Volume
55
Issue
3
Pages
1189-1199
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2139755434
Cited by
96
References
75
Citations by year
2025: 1 · 2024: 3 · 2023: 3 · 2022: 9 · 2021: 3 · 2020: 6 · 2019: 6 · 2018: 5 · 2017: 8 · 2016: 9 · 2015: 12 · 2014: 9 · 2013: 11 · 2012: 7
FWCI
4.07
Type
journal article
Language
en
Open access
closed
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • MADRI.B
  • Obra Social CajaMadrid
  • MAPFRE 2008
  • IMSERSO (07-2008)
  • Spanish Ministry of Science and Technology (FIS2009-07072)
  • Community of Madrid
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Epidemiology › Traumatic Brain Injury Research
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords
traumatic brain injury, recovery, neuroplasticity, resting-state MEG, neurorehabilitation, network efficiency, path length, energetic cost, neuropsychological correlates, performance IQ, perceptual organization
MeSH terms
Adolescent, Adult, Algorithms, Alpha Rhythm, Brain, Brain Injuries, Data Interpretation, Statistical, Delta Rhythm, Energy Metabolism, Female, Humans, Intelligence Tests, Male, Middle Aged, Nerve Net, Neuropsychological Tests, Magnetoencephalography, Cluster Analysis, Databases, Factual, Recovery of Function, Young Adult

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