CASIA OpenIR  > 多模态人工智能系统全国重点实验室
Disrupted Gray Matter Networks Associated with Cognitive Dysfunction in Cerebral Small Vessel Disease
Gao, Yian1; Wang, Shengpei2,3; Xin, Haotian4; Feng, Mengmeng4; Zhang, Qihao5; Sui, Chaofan1; Guo, Lingfei1; Liang, Changhu6; Wen, Hongwei7
Source PublicationBRAIN SCIENCES
2023-10-01
Volume13Issue:10Pages:19
Corresponding AuthorGuo, Lingfei(wenhongwei@swu.edu.cn) ; Liang, Changhu(tigerlch@163.com) ; Wen, Hongwei(glfsci@163.com)
AbstractThis study aims to investigate the disrupted topological organization of gray matter (GM) structural networks in cerebral small vessel disease (CSVD) patients with cerebral microbleeds (CMBs). Subject-wise structural networks were constructed from GM volumetric features of 49 CSVD patients with CMBs (CSVD-c), 121 CSVD patients without CMBs (CSVD-n), and 74 healthy controls. The study used graph theory to analyze the global and regional properties of the network and their correlation with cognitive performance. We found that both the control and CSVD groups exhibited efficient small-world organization in GM networks. However, compared to controls, CSVD-c and CSVD-n patients exhibited increased global and local efficiency (Eglob/Eloc) and decreased shortest path lengths (Lp), indicating increased global integration and local specialization in structural networks. Although there was no significant global topology change, partially reorganized hub distributions were found between CSVD-c and CSVD-n patients. Importantly, regional topology in nonhub regions was significantly altered between CSVD-c and CSVD-n patients, including the bilateral anterior cingulate gyrus, left superior parietal gyrus, dorsolateral superior frontal gyrus, and right MTG, which are involved in the default mode network (DMN) and sensorimotor functional modules. Intriguingly, the global metrics (Eglob, Eloc, and Lp) were significantly correlated with MoCA, AVLT, and SCWT scores in the control group but not in the CSVD-c and CSVD-n groups. In contrast, the global metrics were significantly correlated with the SDMT score in the CSVD-s and CSVD-n groups but not in the control group. Patients with CSVD show a disrupted balance between local specialization and global integration in their GM structural networks. The altered regional topology between CSVD-c and CSVD-n patients may be due to different etiological contributions, which may offer a novel understanding of the neurobiological processes involved in CSVD with CMBs.
Keywordcerebral small vessel disease cerebral microbleeds voxel-based morphometry gray matter networks graph theory
DOI10.3390/brainsci13101359
WOS KeywordVOXEL-BASED MORPHOMETRY ; SUPERIOR PARIETAL LOBULE ; MIDDLE TEMPORAL GYRUS ; CO-SPEECH GESTURES ; FUNCTIONAL CONNECTIVITY ; STRUCTURAL NETWORKS ; CORTICAL THICKNESS ; BRAIN ; ORGANIZATION ; ATROPHY
Indexed BySCI
Language英语
Funding ProjectThe authors thank all of the volunteers and patients for their participation in our study.
Funding OrganizationThe authors thank all of the volunteers and patients for their participation in our study.
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:001092498100001
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/54281
Collection多模态人工智能系统全国重点实验室
多模态人工智能系统全国重点实验室_智能机器人系统研究
Corresponding AuthorGuo, Lingfei; Liang, Changhu; Wen, Hongwei
Affiliation1.Shandong First Med Univ, Dept Radiol, Key Lab Endocrine Glucose & Lipids Metab & Brain A, Minist Educ,Shandong Prov Hosp, Jinan 250021, Peoples R China
2.Chinese Acad Sci, Inst Automat, Res Ctr Brain Inspired Intelligence, Beijing 100040, Peoples R China
3.Univ Chinese Acad Sci, Beijing 101408, Peoples R China
4.Capital Med Univ, Xuanwu Hosp, Dept Radiol & Nucl Med, 45 Changchun St, Beijing 100054, Peoples R China
5.Weill Cornell Med Coll, Dept Radiol, 407 East 61st St, New York, NY 10044 USA
6.Shandong Univ, Shandong Prov Hosp, Cheeloo Coll Med, Dept Radiol, Jing Wu Rd 324, Jinan 250021, Peoples R China
7.Southwest Univ, Fac Psychol, Key Lab Cognit & Personal, Minist Educ, Chongqing 400715, Peoples R China
Recommended Citation
GB/T 7714
Gao, Yian,Wang, Shengpei,Xin, Haotian,et al. Disrupted Gray Matter Networks Associated with Cognitive Dysfunction in Cerebral Small Vessel Disease[J]. BRAIN SCIENCES,2023,13(10):19.
APA Gao, Yian.,Wang, Shengpei.,Xin, Haotian.,Feng, Mengmeng.,Zhang, Qihao.,...&Wen, Hongwei.(2023).Disrupted Gray Matter Networks Associated with Cognitive Dysfunction in Cerebral Small Vessel Disease.BRAIN SCIENCES,13(10),19.
MLA Gao, Yian,et al."Disrupted Gray Matter Networks Associated with Cognitive Dysfunction in Cerebral Small Vessel Disease".BRAIN SCIENCES 13.10(2023):19.
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