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Hubs defined with participation coefficient metric altered following acute mTBI
Author(s): Xiaocui Wang; Chuanzhu Sun; Shan Wang; Jieli Cao; Hui Xu; Shuoqiu Gan; Zhen Chen; Bo Yin; Guanghui Bai; Meihua Shao; Chenghui Gu; Liuxun Hu; Limei Ye; Dandong Li; Zhihan Yan; Lijun Bai
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Paper Abstract

Patients with mild traumatic brain injury (mTBI) may suffer from a widespread spectrum of symptoms that arise from the damage of long-distance white matter connections in distributed brain networks. In brain networks, an increasing attention has been devoted to assessing the functional roles of regions by estimating the spatial layout of their connections among different modules, using the participation coefficient. In the present study, we aimed to investigate the role of hubs in inter-subnetwork information coordination and integration by using participation coefficients after mTBI. 74 patients after mTBI within 7 days post-injury and 51 matched healthy controls enrolled in this study. Our results presented that hubs for mTBI patients distributed in more extensive networks such as the default mode network (DMN), ventral attention network (VAN) and frontoparietal network (FPN), somatomotor network (SMN) and visual network (VN), compared with healthy controls limited to the first three. Participation coefficients for mTBI presented significantly decreased in the DMN (P=0.015) and FPN (P=0.02), while increased in the VN (P=0.035). SVM trained with participation coefficient metrics were able to identify mTBI patients from controls with 78% accuracy, providing for its diagnose potential in clinical settings. From our point of view, difference between two groups could be related with functional network reorganization in mTBI groups.

Paper Details

Date Published: 2 March 2018
PDF: 8 pages
Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 105742C (2 March 2018); doi: 10.1117/12.2293313
Show Author Affiliations
Xiaocui Wang, Xi'an Jiaotong Univ. (China)
Chuanzhu Sun, Xi'an Jiaotong Univ. (China)
Shan Wang, Xi'an Jiaotong Univ. (China)
Jieli Cao, Xi'an Jiaotong Univ. (China)
Hui Xu, Xi'an Jiaotong Univ. (China)
Shuoqiu Gan, Xi'an Jiaotong Univ. (China)
Zhen Chen, Xi'an Jiaotong Univ. (China)
Bo Yin, The 2nd Affiliated Hospital & Yuying Children's Hospital of WMU (China)
Guanghui Bai, The 2nd Affiliated Hospital & Yuying Children's Hospital of WMU (China)
Meihua Shao, The 2nd Affiliated Hospital & Yuying Children's Hospital of WMU (China)
Chenghui Gu, The 2nd Affiliated Hospital & Yuying Children's Hospital of WMU (China)
Liuxun Hu, The 2nd Affiliated Hospital & Yuying Children's Hospital of WMU (China)
Limei Ye, The 2nd Affiliated Hospital & Yuying Children's Hospital of WMU (China)
Dandong Li, The 2nd Affiliated Hospital & Yuying Children's Hospital of WMU (China)
Zhihan Yan, The 2nd Affiliated Hospital & Yuying Children's Hospital of WMU (China)
Lijun Bai, Xi'an Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 10574:
Medical Imaging 2018: Image Processing
Elsa D. Angelini; Bennett A. Landman, Editor(s)

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