Graph analysis of functional brain networks for cognitive control of action in traumatic brain injury
Open accessAbstract
Patients with traumatic brain injury show clear impairments in behavioural flexibility and inhibition that often persist beyond the time of injury, affecting independent living and psychosocial functioning. Functional magnetic resonance imaging studies have shown that patients with traumatic brain injury typically show increased and more broadly dispersed frontal and parietal activity during performance of cognitive control tasks. We constructed binary and weighted functional networks and calculated their topological properties using a graph theoretical approach. Twenty-three adults with traumatic brain injury and 26 age-matched controls were instructed to switch between coordination modes while making spatially and temporally coupled circular motions with joysticks during event-related functional magnetic resonance imaging. Results demonstrated that switching performance was significantly lower in patients with traumatic brain injury compared with control subjects. Furthermore, although brain networks of both groups exhibited economical small-world topology, altered functional connectivity was demonstrated in patients with traumatic brain injury. In particular, compared with controls, patients with traumatic brain injury showed increased connectivity degree and strength, and higher values of local efficiency, suggesting adaptive mechanisms in this group. Finally, the degree of increased connectivity was significantly correlated with poorer switching task performance and more severe brain injury. We conclude that analysing the functional brain network connectivity provides new insights into understanding cognitive control changes following brain injury.
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In adults with minor TBI, task performance in a task-switching cognitive challenge was significantly poorer than in healthy controls.
“Task performance was significantly poorer in patients than in controls.”
From Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery (2016) · cites this paper as [22]
Patients with minor TBI had increased connectivity and local efficiency compared with controls, both correlated with task proficiency and severity of TBI.
“Patients had increased connectivity and local efficiency compared with controls, both of which were correlated with task proficiency and severity of TBI.”
From Graph theory analysis of complex brain networks: new concepts in brain mapping applied to neurosurgery (2016) · cites this paper as [22]
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Li, J., Shu, Y., Chen, L., Wang, B., Chen, L., Zhan, J., Kuang, H., Xia, G.-J., Zhou, F., Gong, H., et al. (2023) · Brain Imaging and Behavior · doi:10.1007/s11682-023-00832-z · Cited by 4 · see citing works
Cognitive and spectral coherence of EEG alterations in resting state in children with chronic TBI
Galicia-Alvarado, M. A., Alducin-Castillo, J., Flóres, M. J. R., Sánchez-Quezada, A., Yáñez-Suárez, Ó., & Flores-Ávalos, B. (2019) · Salud Mental · doi:10.17711/sm.0185-3325.2019.012 · Cited by 4 · see citing works
Semmel, E. S., Calhoun, V. D., Hillary, F. G., Morris, R. D., & King, T. Z. (2023) · Neuroimage Reports · doi:10.1016/j.ynirp.2023.100178 · Cited by 4 · see citing works
GSP Analysis of Brain Imaging Data from Athletes with History of Multiple Concussions
Sihag, S., Naze, S., Taghdiri, F., Tartaglia, M. C., & Kozloski, J. (2019) · IEEE Global Conference on Signal and Information Processing · doi:10.1109/globalsip45357.2019.8969487 · Cited by 3 · see citing works
Brain Plasticity in fMRI and DTI
Karahasanović, N., Gruber, T., Dörl, G., Radjenovic, S., Kolarova, T., Matt, E., & Beisteiner, R. (2021) · Medical radiology · doi:10.1007/978-3-030-83343-5_11 · Cited by 3 · see citing works
Aberrant dynamic functional network connectivity in patients with diffuse axonal injury
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Zigmantovich, A. S., Sharova, E. V., Kopachka, M. М., Смирнов, А. С., Alexandrova, E. V., Masherov, E. L., Трошина, Е. М., Pronin, I., & Oknina, L. B. (2024) · Human Physiology · doi:10.1134/s0362119723700640 · Cited by 2 · see citing works
- Authors
- Caeyenberghs, K., Leemans, A., Heitger, M. H., Leunissen, I., Dhollander, T., Sunaert, S., Dupont, P., & Swinnen, S. P.
- Affiliations
- KU Leuven (BE)
- University Medical Center Utrecht (NL)
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-03-16
- Volume
- 135
- Issue
- 4
- Pages
- 1293-1307
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2148459191
- Cited by
- 129
- References
- 99
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 9 · 2023: 8 · 2022: 6 · 2021: 8 · 2020: 12 · 2019: 6 · 2018: 4 · 2017: 15 · 2016: 14 · 2015: 13 · 2014: 12 · 2013: 11 · 2012: 3
- FWCI
- 6.37
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- cc-by
- Locations
- Brain (publishedVersion)
- PubMed (publishedVersion)
- Research Bank (Australian Catholic University) (submittedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- 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, cognitive control, functional brain networks, graph theory, small-world networks, functional connectivity, behavioral flexibility, inhibition, task switching, local efficiency, injury severity
- MeSH terms
- Adolescent, Adult, Attention, Brain, Brain Injuries, Brain Mapping, Cognition Disorders, Computer Graphics, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Neural Pathways, Neuropsychological Tests, Oxygen, Photic Stimulation, Psychomotor Performance, Trauma Severity Indices, Young Adult
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