Personalized estimates of morphometric similarity in multiple sclerosis and neuromyelitis optica spectrum disorders

作者全名："Sun, Jie; Zhao, Wenjin; Xie, Yingying; Zhou, Fuqing; Wu, Lin; Li, Yuxin; Li, Haiqing; Li, Yongmei; Zeng, Chun; Han, Xuemei; Liu, Yaou; Zhang, Ningnannan"

作者地址："[Sun, Jie; Zhao, Wenjin; Xie, Yingying; Zhang, Ningnannan] Tianjin Med Univ Gen Hosp, Dept Radiol, 154 Anshan Rd, Tianjin 300052, Peoples R China; [Sun, Jie; Zhao, Wenjin; Xie, Yingying; Zhang, Ningnannan] Tianjin Med Univ Gen Hosp, Tianjin Key Lab Funct Imaging, Tianjin 300052, Peoples R China; [Zhou, Fuqing; Wu, Lin] Nanchang Univ, Afliated Hosp 1, Dept Radiol, Nanchang 330006, Jiangxi, Peoples R China; [Zhou, Fuqing; Wu, Lin] Jiangxi Prov Med Imaging Res Inst, Neuroimaging Lab, Nanchang 330006, Jiangxi, Peoples R China; [Li, Yuxin; Li, Haiqing] Fudan Univ, Huashan Hosp, Dept Radiol, Shanghai 200040, Peoples R China; [Li, Yongmei; Zeng, Chun] Chongqing Med Univ, Afliated Hosp 1, Dept Radiol, Chongqing 400016, Peoples R China; [Han, Xuemei] Jilin Univ, China Japan Union Hosp, Dept Neurol, Changchun 130031, Jilin, Peoples R China; [Liu, Yaou] Capital Med Univ, Beijing Tiantan Hosp, Dept Radiol, 119,West Southern 4th Ring Rd, Beijing 100070, Peoples R China"

通信作者："Zhang, NNN (通讯作者)，Tianjin Med Univ Gen Hosp, Dept Radiol, 154 Anshan Rd, Tianjin 300052, Peoples R China."

来源：NEUROIMAGE-CLINICAL

ESI学科分类：NEUROSCIENCE & BEHAVIOR

WOS号：WOS:001040526600001

JCR分区：Q2

影响因子：3.4

年份：2023

卷号：39

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：Multiple Sclerosis; Neuromyelitis optica spectrum disorders; Person-based similarity index; Cortical thickness; Subcortical volume

摘要："Brain morphometric alterations involve multiple brain regions on progression of the disease in multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) and exhibit age-related degenerative changes during the pathological aging. Recent advance in brain morphometry as measured using MRI have leveraged PersonBased Similarity Index (PBSI) approach to assess the extent of within-diagnosis similarity or heterogeneity of brain neuroanatomical profiles between individuals of healthy populations and validate in neuropsychiatric disorders. Brain morphometric changes throughout the lifespan would be invaluable for understanding regional variability of age-related structural degeneration and the substrate of inflammatory demyelinating disease. Here, we aimed to quantify the neuroanatomical profiles with PBSI measures of cortical thickness (CT) and subcortical volumes (SV) in 263 MS, 207 NMOSD, and 338 healthy controls (HC) from six separate central datasets (aged 11-80). We explored the between-group comparisons of PBSI measures, as well as the advancing age and sex effects on PBSI measures. Compared to NMOSD, MS showed a lower extent of within-diagnosis similarity. Significant differences in regional contributions to PBSI score were observed in 29 brain regions between MS and NMOSD (P < 0.05/164, Bonferroni corrected), of which bilateral cerebellum in MS and bilateral parahippocampal gyrus in NMOSD represented the highest divergence between the two patient groups, with a high similarity effect within each group. The PBSI scores were generally lower with advancing age, but their associations showed different patterns depending on the age range. For MS, CT profiles were significantly negatively correlated with age until the early 30 s (& rho; = -0.265, P = 0.030), while for NMOSD, SV profiles were significantly negatively correlated with age with 51 year-old and older (& rho; = -0.365, P = 0.008). The current study suggests that PBSI approach could be used to quantify the variation in brain morphometric changes in CNS inflammatory demyelinating disease, and exhibited a greater neuroanatomical heterogeneity pattern in MS compared with NMOSD. Our results reveal that, as an MR marker, PBSI may be sensitive to distribute the disease-associated grey matter diversity and complexity. Disease-driven production of regionally selective and age stage-dependency changes in the neuroanatomical profile of MS and NMOSD should be considered to facilitate the prediction of clinical outcomes and assessment of treatment responses."

基金机构："National Natural Science Foundation of China [82071907, 81301202, 81870958, 81771808]; National Key Research and Development Program of China [2022YFC2009900]; Natural Science Foundation of Tianjin City [2021KJ219]; Scientific Research Planning Project of Tianjin Education Commission [320.6750.2022-3-5]; Wu Jieping Medical Foundation- Special Fund for Clinical Research [TJYXZDXK-001A]; Tianjin Key Medical Discipline (Specialty) Construction Project [2022YFC2009904]; [18JCQNJC80200]"

基金资助正文："This work was supported by the National Natural Science Foundation of China [82071907, 81301202, 81870958, 81771808] , the National Key Research and Development Program of China [No. 2022YFC2009904/2022YFC2009900] , the Natural Science Foundation of Tianjin City [18JCQNJC80200] , the Scientific Research Planning Project of Tianjin Education Commission [2021KJ219] , Wu Jieping Medical Foundation- Special Fund for Clinical Research (320.6750.2022-3-5) and Tianjin Key Medical Discipline (Specialty) Construction Project [TJYXZDXK-001A] ."