机构:[1]Chinese Univ Hong Kong, Dept Imaging & Intervent Radiol, Shatin, Hong Kong, Peoples R China;[2]Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China;[3]CUHK Shenzhen Res Inst, Shenzhen, Peoples R China;[4]Chinese Univ Hong Kong, Dept Med & Therapeut, Shatin, Hong Kong, Peoples R China;[5]Capital Med Univ, Beijing Tiantan Hosp, Dept Neurol, Beijing, Peoples R China重点科室诊疗科室神经病学中心神经病学中心首都医科大学附属天坛医院
Structural changes after ischemic stroke could affect information communication extensively in the brain network. It is likely that the defects in the white matter (WM) network play a key role in information interchange. In this study, we used graph theoretical analysis to examine potential organization alteration in the WM network architecture derived from diffusion tensor images from subjects with no dementia and experienced stroke in the past 5.4-14.8 months (N = 47, Mini-Mental Screening Examination, MMSE range 18-30), compared with a normal control group with 44 age and gender-matched healthy volunteers (MMSE range 26-30). Region-wise connectivity was derived from fiber connection density of 90 different cortical and subcortical parcellations across the whole brain. Both normal controls and patients with chronic stroke exhibited efficient small-world properties in their WM structural networks. Compared with normal controls, topological efficiency was basically unaltered in the patients with chronic stroke, as reflected by unchanged local and global clustering coefficient, characteristic path length, and regional efficiency. No significant difference in hub distribution was found between normal control and patient groups. Patients with chronic stroke, however, were found to have reduced betweenness centrality and predominantly located in the orbitofrontal cortex, whereas increased betweenness centrality and vulnerability were observed in parietal-occipital cortex. The National Institutes of Health Stroke Scale (NIHSS) score of patient is correlated with the betweenness centrality of right pallidum and local clustering coefficient of left superior occipital gyrus. Our findings suggest that patients with chronic stroke still exhibit efficient small-world organization and unaltered topological efficiency, with altered topology at orbitofrontal cortex and parietal-occipital cortex in the overall structural network. Findings from this study could help in understanding the mechanism of cognitive impairment and functional compensation occurred in patients with chronic stroke.
基金:
Research Grants Council of the Hong Kong Special Administrative Region, ChinaHong Kong Research Grants Council [CUHK 411811, 475711, 416712, 473012]; Shenzhen Science and Technology Innovation Committee [JC201005250030A, JCYJ20120619152326449]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China [81101111, 81201157, 81271653]
第一作者机构:[1]Chinese Univ Hong Kong, Dept Imaging & Intervent Radiol, Shatin, Hong Kong, Peoples R China;[2]Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China;
通讯作者:
通讯机构:[1]Chinese Univ Hong Kong, Dept Imaging & Intervent Radiol, Shatin, Hong Kong, Peoples R China;[3]CUHK Shenzhen Res Inst, Shenzhen, Peoples R China;
推荐引用方式(GB/T 7714):
Shi Lin,Wang Defeng,Chu Winnie C. W.,et al.Abnormal Organization of White Matter Network in Patients with No Dementia after Ischemic Stroke[J].PLOS ONE.2013,8(12):-.doi:10.1371/journal.pone.0081388.
APA:
Shi, Lin,Wang, Defeng,Chu, Winnie C. W.,Liu, Shangping,Xiong, Yunyun...&Mok, Vincent C. T..(2013).Abnormal Organization of White Matter Network in Patients with No Dementia after Ischemic Stroke.PLOS ONE,8,(12)
MLA:
Shi, Lin,et al."Abnormal Organization of White Matter Network in Patients with No Dementia after Ischemic Stroke".PLOS ONE 8..12(2013):-