Journal article
Graph theoretical structural connectome analysis of the brain in patients with chronic spinal cord injury: preliminary investigation
Spinal cord series and cases, v 7(1), pp 60-60
17 Jul 2021
PMID: 34274953
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Study design Retrospective study. Objectives We aimed to characterize the convergent disruptions of the structural connectivity based on network modeling technique (i.e., graph theory) to identify significant changes in network organization/reorganization between uninjured and chronic spinal cord injury (SCI) participants. Setting USA. Methods Ten adult participants including 4 with chronic SCI and 6 uninjured were scanned using a multi-shell diffusion imaging on a 3.0 T MR scanner. Whole brain structural connectivity matrix was estimated by performing the quantification of the number of white matter fibers (called edges) connecting each possible pair of brain region (called nodes). Brain regions were defined according to Desikan-Killiany cortical atlas. Using connectivity matrix, connectivity strength as well as six different graph theoretical measurements were computed for each participant. They include: (1) global efficiency; (2) local efficiency; (3) degree; (4) betweenness centrality; (5) average shortest length and (6) clustering coefficient. Finally network based statistics was applied to extract nodes/connections with significant differences between groups (uninjured vs SCI). Results The SCI group showed significant decreases in betweenness centrality in the left precentral gyrus (T-score=2.98, p value=0.02), and the right caudal middle frontal gyrus (score = 2.35, p value=0.047). It also showed significant decrease in left transverse temporal gyrus (T-score=2.36, p value=0.046) in clustering coefficient. In addition, altered regions in the occipital and parietal lobe were also identified. Conclusion These results suggest that not only local but also global alterations of the white matter occur after SCI. The proposed modeling technique has the potential to serve as a screening tool to identify any areas of the brain affected after SCI.
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Details
- Title
- Graph theoretical structural connectome analysis of the brain in patients with chronic spinal cord injury: preliminary investigation
- Creators
- Mahdi Alizadeh - Thomas Jefferson UniversityArichena R. Manmatharayan - Thomas Jefferson UniversityTherese Johnston - Department of Physical Therapy, Jefferson College of Rehabilitation Sciences, Thomas Jefferson University, Philadelphia, PA, USA.Sara Thalheimer - Thomas Jefferson UniversityMargaret Finley - Drexel UniversityMegan Detloff - Drexel UniversityAshwini Sharan - Thomas Jefferson UniversityJames Harrop - Thomas Jefferson UniversityAndrew Newburg - Marcus Institute of Integrative Health-Myrna Brind Center, Marcus Institute, Thomas Jefferson University, Villanova, PA, USA.Laura Krisa - Department of Physical Therapy, Jefferson College of Rehabilitation Sciences, Thomas Jefferson University, Philadelphia, PA, USA.Feroze B. Mohamed - Thomas Jefferson University
- Publication Details
- Spinal cord series and cases, v 7(1), pp 60-60
- Publisher
- Springer Nature
- Number of pages
- 8
- Grant note
- NS097880 / NIH NINDS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS) Thomas Jefferson University W81XWH-17-1-0476 / Department of Defense, Spinal Cord Injury Research Program; United States Department of Defense
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Neurobiology and Anatomy; Physical Therapy (and Rehabilitation Sciences)
- Web of Science ID
- WOS:000674938100001
- Scopus ID
- 2-s2.0-85110572169
- Other Identifier
- 991019168564004721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Clinical Neurology
- Rehabilitation