TY - JOUR
T1 - White Matter Deficits Underlying the Impaired Consciousness Level in Patients with Disorders of Consciousness
AU - Wu, Xuehai
AU - Zhang, Jiaying
AU - Cui, Zaixu
AU - Tang, Weijun
AU - Shao, Chunhong
AU - Hu, Jin
AU - Zhu, Jianhong
AU - Zhao, Yao
AU - Lu, Lu
AU - Chen, Gang
AU - Northoff, Georg
AU - Gong, Gaolang
AU - Mao, Ying
AU - He, Yong
N1 - Funding Information:
Acknowledgements This work was supported by the Natural Science Foundation of China (81571025), International Cooperation Project from Shanghai Science Foundation (18410711300), the National Science Foundation for Distinguished Young Scholars of China (81025013), National Basic Research Development Program (973 Program) of China (2012CB720700, 2010CB945500, 2012CB966300, and 2009CB941100), the National Natural Science Foundation of China (81322021), the Beijing Nova Program (Z121110002512032), the Project for National 985 Engineering of China (985III-YFX0102), the ‘‘Dawn Tracking’’ Program of Shanghai Education Commission (10GG01), the Shanghai Natural Science Foundation (08411952000 and 10ZR1405400), the National Natural Science Young Foundation in China (81201033), the grants of Shanghai Health Bureau (20114358), the National High-Technology Development Project (863 Project) of China (2015AA020501), the Program for New Century Excellent Talents in University of China (NCET-10-0356), and the National Program for the Support of Top-Notch Young Professionals. Dr. Georg Northoff is supported by the Michael Smith Foundation, the CRC, and the CIHR. Jiaying Zhang is supported by the China Scholarship Council.
Publisher Copyright:
© 2018, Shanghai Institutes for Biological Sciences, CAS and Springer Nature Singapore Pte Ltd.
PY - 2018/8/1
Y1 - 2018/8/1
N2 - In this study, we aimed to (1) identify white matter (WM) deficits underlying the consciousness level in patients with disorders of consciousness (DOCs) using diffusion tensor imaging (DTI), and (2) evaluate the relationship between DTI metrics and clinical measures of the consciousness level in DOC patients. With a cohort of 8 comatose, 8 unresponsive wakefulness syndrome/vegetative state, and 14 minimally conscious state patients and 25 patient controls, we performed group comparisons of the DTI metrics in 48 core WM regions of interest (ROIs), and examined the clinical relevance using correlation analysis. We identified multiple abnormal WM ROIs in DOC patients compared with normal controls, and the DTI metrics in these ROIs were significantly correlated with clinical measures of the consciousness level. Therefore, our findings suggested that multiple WM tracts are involved in the impaired consciousness levels in DOC patients and demonstrated the clinical relevance of DTI for DOC patients.
AB - In this study, we aimed to (1) identify white matter (WM) deficits underlying the consciousness level in patients with disorders of consciousness (DOCs) using diffusion tensor imaging (DTI), and (2) evaluate the relationship between DTI metrics and clinical measures of the consciousness level in DOC patients. With a cohort of 8 comatose, 8 unresponsive wakefulness syndrome/vegetative state, and 14 minimally conscious state patients and 25 patient controls, we performed group comparisons of the DTI metrics in 48 core WM regions of interest (ROIs), and examined the clinical relevance using correlation analysis. We identified multiple abnormal WM ROIs in DOC patients compared with normal controls, and the DTI metrics in these ROIs were significantly correlated with clinical measures of the consciousness level. Therefore, our findings suggested that multiple WM tracts are involved in the impaired consciousness levels in DOC patients and demonstrated the clinical relevance of DTI for DOC patients.
KW - Brain injury
KW - Diffusion tensor imaging
KW - Disorder of consciousness
KW - White matter
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U2 - 10.1007/s12264-018-0253-3
DO - 10.1007/s12264-018-0253-3
M3 - Article
C2 - 29987517
AN - SCOPUS:85049606864
SN - 1673-7067
VL - 34
SP - 668
EP - 678
JO - Neuroscience Bulletin
JF - Neuroscience Bulletin
IS - 4
ER -