Characterization of white matter microstructural abnormalities associated with cognitive dysfunction in cerebral small vessel disease with cerebral microbleeds
文献类型：期刊论文
| 作者 | Sui, Chaofan2; Wen, Hongwei1,3 ; Wang, Shengpei4; Feng, Mengmeng5; Xin, Haotian5; Gao, Yian2; Li, Jing6; Guo, Lingfei2; Liang, Changhu2
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| 刊名 | JOURNAL OF AFFECTIVE DISORDERS
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| 出版日期 | 2023-03-01 |
| 卷号 | 324页码:259-269 |
| ISSN号 | 0165-0327 |
| 关键词 | Cerebral small vessel disease Cerebral microbleeds Diffusion tensor imaging Tract-based spatial statistics Cognitive dysfunction |
| DOI | 10.1016/j.jad.2022.12.070 |
| 通讯作者 | Guo, Lingfei() ; Liang, Changhu() |
| 英文摘要 | Background: Diffusion tensor imaging (DTI) is recommended as a sensitive method to explore white matter (WM) microstructural alterations. Cerebral small vessel disease (CSVD) may be accompanied by extensive WM microstructural deterioration, while cerebral microbleeds (CMBs) are an important factor affecting CSVD. Methods: Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD) images from 49 CSVD patients with CMBs (CSVD-c), 114 CSVD patients without CMBs (CSVD-n), and 83 controls were analyzed using DTI-derived tract-based spatial statistics to detect WM diffusion changes among groups. Results: Compared with the CSVD-n and control groups, the CSVD-c group showed a significant FA decrease and AD, RD and MD increases mainly in the cognitive and sensorimotor-related WM tracts. There was no significant difference in any diffusion metric between the CSVD-n and control groups. Furthermore, the widespread regional diffusion alterations among groups were significantly correlated with cognitive parameters in both the CSVD-c and CSVD-n groups. Notably, we applied the multiple kernel learning technique in multivariate pattern analysis to combine multiregion and multiparameter diffusion features, yielding an average accuracy >77 % for three binary classifications, which showed a considerable improvement over the single modality approach. Limitations: We only grouped the study according to the presence or absence of CMBs. Conclusions: CSVD patients with CMBs have extensive WM microstructural deterioration. Combining DTI-derived diffusivity and anisotropy metrics can provide complementary information for assessing WM alterations associated with cognitive dysfunction and serve as a potential discriminative pattern to detect CSVD at the individual level. |
| WOS研究方向 | Neurosciences & Neurology ; Psychiatry |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000990029700001 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/53293]  |
| 专题 | 多模态人工智能系统全国重点实验室 |
| 通讯作者 | Guo, Lingfei; Liang, Changhu |
| 作者单位 | 1.Minist Educ, Key Lab Cognit & Personal, Chongqing 400715, Peoples R China 2.Shandong First Med Univ, Dept Radiol, Shandong Prov Hosp, 324 Jing Wu Rd, Jinan 250021, Shandong, Peoples R China 3.Southwest Univ, Fac Psychol, Chongqing 400715, Peoples R China 4.Chinese Acad Sci, Inst Automat, Res Ctr Brain inspired Intelligence, ZhongGuanCun East Rd 95, Beijing 100190, Peoples R China 5.Shandong Univ, Shandong Prov Hosp, Cheeloo Coll Med, Dept Radiol, Jing Wu Rd 324, Jinan 250021, Peoples R China 6.Capital Med Univ, Beijing Friendship Hosp, Dept Radiol, 95 Yong An Rd, Beijing 100050, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sui, Chaofan,Wen, Hongwei,Wang, Shengpei,et al. Characterization of white matter microstructural abnormalities associated with cognitive dysfunction in cerebral small vessel disease with cerebral microbleeds[J]. JOURNAL OF AFFECTIVE DISORDERS,2023,324:259-269. |
| APA | Sui, Chaofan.,Wen, Hongwei.,Wang, Shengpei.,Feng, Mengmeng.,Xin, Haotian.,...&Liang, Changhu.(2023).Characterization of white matter microstructural abnormalities associated with cognitive dysfunction in cerebral small vessel disease with cerebral microbleeds.JOURNAL OF AFFECTIVE DISORDERS,324,259-269. |
| MLA | Sui, Chaofan,et al."Characterization of white matter microstructural abnormalities associated with cognitive dysfunction in cerebral small vessel disease with cerebral microbleeds".JOURNAL OF AFFECTIVE DISORDERS 324(2023):259-269. |
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