From the Neuroimaging Research Unit (A.C., P.V., M.F., M.A.R.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Anatomy and Neurosciences (M.M.S., J.J.G.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands; Radiology and Nuclear Medicine (F.B.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, United Kingdom; National Institute for Health Research (NIHR) (F.B.), University College London Hospitals (UCLH), Biomedical Research Centre, London, United Kingdom; Division of Neurology and 3T MRI Research Center (A.G.,G.T.), Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy; Department of Human Neurosciences (S.T., P.P), Sapienza University, Rome, Italy; IRCCS NEUROMED (P.P.), Pozzilli (IS), Italy; Neurology Unit (M.F., M.A.R.), IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurorehabilitation Unit (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan, Italy.
Neurology. 2022 Nov 29;99(22):e2517-e2530. doi: 10.1212/WNL.0000000000201264. Epub 2022 Sep 12.
In multiple sclerosis (MS), functional networks undergo continuous reconfiguration and topography changes over the disease course. In this study, we aimed to investigate functional network to pography abnormalities in MS and their association with disease phenotype, clinical and cognitive disability, and structural MRI damage.
This is a multicenter cross-sectional study. Enrolled participants performed MRI and neurologic and neuropsychological assessment. Network topography was assessed on resting state fMRI data using degree centrality, which counted the number of functional connections of each gray matter voxel with the rest of the brain. SPM12 age-adjusted, sex-adjusted, scanner-adjusted, framewise displacement, and gray matter-volume adjusted analysis of variance and multivariable regressions were used ( < 0.05, family-wise error [FWE] corrected).
We enrolled 971 patients with MS (624 female patients; mean age = 43.1 ± 11.8 years; 47 clinically isolated syndrome [CIS], 704 relapsing-remitting MS [RRMS], 145 secondary progressive MS [SPMS], and 75 primary progressive MS [PPMS]) and 330 healthy controls (186 female patients; mean age = 41.2 ± 13.3 years). Patients with MS showed reduced centrality in the salience and sensorimotor networks as well as increased centrality in the default-mode network vs controls ( < 0.05, FWE). Abnormal centrality was already found in CIS vs controls and in RRMS vs CIS ( < 0.001, uncorrected); however, it became more severe in SPMS vs RRMS ( < 0.05, FWE) and in PPMS vs controls ( < 0.001, uncorrected). Cognitively impaired patients (39%) showed reduced centrality in the salience network and increased centrality in the default-mode network vs cognitively preserved patients ( < 0.001, conjunction analysis). More severe disability correlated with increased centrality in the right precuneus ( = 0.18, < 0.05 FWE). Higher T2 lesion volume and brain/gray matter atrophy were associated with reduced centrality in the bilateral insula and cerebellum ( = range -0.17/-0.15 and 0.26/0.28, respectively; < 0.05, FWE). Higher brain/gray matter atrophy was also associated with increased centrality in the default-mode network ( = range -0.31/-0.22, < 0.05, FWE).
Patients with MS presented with reduced centrality in the salience and primary sensorimotor networks and increased centrality in the default-mode network. Centrality abnormalities were specific for different disease phenotypes and associated with clinical and cognitive disability, hence suggesting that voxel-wise centrality analysis may reflect pathologic substrates underpinning disability accrual.
在多发性硬化症(MS)中,功能网络在疾病过程中不断经历重新配置和拓扑变化。在这项研究中,我们旨在研究 MS 中功能网络拓扑结构异常及其与疾病表型、临床和认知障碍以及结构 MRI 损伤的相关性。
这是一项多中心横断面研究。入组的参与者进行了 MRI 以及神经学和神经心理学评估。使用度中心性来评估静息状态 fMRI 数据中的功能网络拓扑结构,度中心性计算了每个灰质体素与大脑其余部分的功能连接数。使用 SPM12 年龄调整、性别调整、扫描仪调整、帧间位移和灰质体积调整的方差分析和多变量回归(<0.05,全误差[FWE]校正)。
我们共纳入了 971 例 MS 患者(624 例女性患者;平均年龄=43.1±11.8 岁;47 例临床孤立综合征[CIS]、704 例复发缓解型 MS[RRMS]、145 例继发进展型 MS[SPMS]和 75 例原发进展型 MS[PPMS])和 330 例健康对照者(186 例女性患者;平均年龄=41.2±13.3 岁)。与对照组相比,MS 患者的显着网络和感觉运动网络的中心性降低,默认模式网络的中心性增加(<0.05,FWE)。在 CIS 与对照组和 RRMS 与 CIS 之间已经发现了异常的中心性(<0.001,未校正);然而,在 SPMS 与 RRMS 之间(<0.05,FWE)和在 PPMS 与对照组之间(<0.001,未校正)变得更加严重。认知障碍患者(39%)的显着网络中心性降低,默认模式网络的中心性增加,与认知保留患者相比(<0.001,联合分析)。更严重的残疾与右侧扣带回前皮质的中心性增加相关(=0.18,<0.05 FWE)。更高的 T2 病变体积和脑/灰质萎缩与双侧脑岛和小脑的中心性降低相关(=范围-0.17/-0.15 和 0.26/0.28,分别;<0.05,FWE)。脑/灰质萎缩也与默认模式网络的中心性增加相关(=范围-0.31/-0.22,<0.05,FWE)。
MS 患者的显着网络和初级感觉运动网络的中心性降低,默认模式网络的中心性增加。中心性异常与不同的疾病表型特异性相关,并与临床和认知障碍相关,因此提示体素中心性分析可能反映了导致残疾累积的病理基础。