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Structural connectivity abnormality in children with acute mild traumatic brain injury using graph theoretical analysis
Abstract
The traumatic biomechanical forces associated with mild traumatic brain injury (mTBI) typically impart diffuse, as opposed to focal, brain injury potentially disrupting the structural connectivity between neural networks. Graph theoretical analysis using diffusion tensor imaging was used to assess injury‐related differences in structural connectivity between 23 children (age 11–16 years) with mTBI and 20 age‐matched children with isolated orthopedic injuries (OI) scanned within 96 h postinjury. The distribution of hub regions and the associations between alterations in regional network measures and symptom burden, as assessed by the postconcussion symptom scale score (PCSS), were also examined. In comparison to the OI group, the mTBI group was found to have significantly higher small‐worldness (P < 0.0001), higher normalized clustering coefficients (P < 0.0001), higher normalized characteristic path length (P = 0.007), higher modularity (P = 0.0005), and lower global efficiency (P < 0.0001). A series of hub regions in the mTBI group were found to have significant alterations in regional network measures including nodal degree, nodal clustering coefficient, and nodal between‐ness centrality. Correlation analysis showed that PCSS total score acquired at the time of imaging was significantly associated with the nodal degree of two hubs, the superior frontal gyrus at orbital section and the middle frontal gyrus. These findings provide new evidence of acute white matter alteration at both global and regional network level following mTBI in children furthering our understanding of underlying mechanisms of acute neurological insult associated with mTBI. Hum Brain Mapp 36:779–792, 2015. © 2014 Wiley Periodicals, Inc.
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“alongside reduced global network efficiency”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Yuan et al., 2014
In the citing paper
“disrupted hub connectivity in executive and salience networks”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Yuan et al., 2014
In the citing paper
“In addition, 4 studies applied graph theoretical approaches, with 3 studies reporting altered network topology characterized by reduced global efficiency and disrupted hub connectivity in regions associated with executive control and salience networks, including the superior frontal gyrus, middle frontal gyrus, insula, and fusiform gyrus (Chung et al., 2019; Yuan et al., 2014; Ware et al., 2022;”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Yuan et al., 2014
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Network attributes for segregation and integration in the human brain
Sporns, O. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.11.015 · Cited by 1,067 · cited 1×
“Based on graph theoretical analysis, the integrity of the structural connectivity of the brain can be represented by a series of network measures that quantify the segregation and/or the integration features of the network topology [Sporns 2013].”
BackgroundWhite matter maturation reshapes structural connectivity in the late developing human brain
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Dennis, E. L., Jahanshad, N., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Hickie, I. B., Toga, A. W., Wright, M. J., & Thompson, P. M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.004 · Cited by 222
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Traumatic brain injury impairs small-world topology
Pandit, A. S., Expert, P., Lambiotte, R., Bonnelle, V., Leech, R., Turkheimer, F. E., & Sharp, D. J. (2013) · Neurology · doi:10.1212/wnl.0b013e3182929f38 · Cited by 176
Daianu, M., Jahanshad, N., Nir, T. M., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, F. T. A. D. (2013) · Brain Connectivity · doi:10.1089/brain.2012.0137 · Cited by 173
Disruption of cerebral networks and cognitive impairment in Alzheimer disease.
Reijmer, Y. D., Leemans, A., Caeyenberghs, K., Heringa, S. M., Koek, H. L., Biessels, G. J., & On behalf of the Utrecht Vascular Cognitive Impairment Study Group (2013) · Neurology · doi:10.1212/wnl.0b013e31828c2ee5 · Cited by 147 · cited 1×
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Cited by
Bouchard, H. C., Higgins, K. L., Amadon, G. K., Laing-Young, J. M., Maerlender, A., Al‑Momani, S., Neta, M., Savage, C. R., & Schultz, D. H. (2024) · Journal of Neurotrauma · doi:10.1089/neu.2023.0089 · Cited by 13
Xu, H., Wu, S., Zhan, H., Xu, G., Zhao, J., & Yin, B. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1879109
Metadata
- Authors
- Yuan, W., Wade, S. L., & Babcock, L.
- Affiliations
- Pediatric Neuroimaging Research Consortium, Division of Radiology, Cincinnati Children's Hospital Medical Center Cincinnati Ohio
- College of Medicine University of Cincinnati Cincinnati Ohio
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2014-11-03
- Volume
- 36
- Issue
- 2
- Pages
- 779-792
- ISSN
- 1065-9471
- 1097-0193
- Cited by
- 89
- References
- 8
- Language
- en
- Funders
- University of Cincinnati Center for Clinical and Translational Science and Training KL2 Mentored Career Award
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