Division of Neurology, Department of Medical, Surgical, Neurologic, Metabolic and Aging Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy; MRI Research Center "SUN-FISM", University of Campania "Luigi Vanvitelli", Naples, Italy; Institute of Diagnosis and Care "Hermitage Capodimonte", Naples, Italy.
Federica Di Nardo Giuseppina Caiazzo MRI Research Center "SUN-FISM", University of Campania "Luigi Vanvitelli", Naples, Italy; Institute of Diagnosis and Care "Hermitage Capodimonte", Naples, Italy.
Mult Scler. 2018 Nov;24(13):1696-1705. doi: 10.1177/1352458517730932. Epub 2017 Sep 15.
To investigate resting-state functional connectivity (RS-FC) of the default-mode network (DMN) and of sensorimotor network (SMN) network in relapsing remitting (RR) multiple sclerosis (MS) patients with fatigue (F) and without fatigue(NF).
In all, 59 RRMS patients and 29 healthy controls (HC) underwent magnetic resonance imaging (MRI) protocol including resting-state fMRI (RS-fMRI). Functional connectivity of the DMN and SMN was evaluated by independent component analysis (ICA). A linear regression analysis was performed to explore whether fatigue was mainly driven by changes observed in the DMN or in the SMN. Regional gray matter atrophy was assessed by voxel-based morphometry (VBM).
Compared to HC, F-MS patients showed a stronger RS-FC in the posterior cingulate cortex (PCC) and a reduced RS-FC in the anterior cingulated cortex (ACC) of the DMN. F-MS patients, compared to NF-MS patients, revealed (1) an increased RS-FC in the PCC and a reduced RS-FC in the ACC of the DMN and (2) an increased RS-FC in the primary motor cortex and in the supplementary motor cortex of the SMN. The regression analysis suggested that fatigue is mainly driven by RS-FC changes of the DMN.
Fatigue in RRMS is mainly associated to a functional rearrangement of non-motor RS networks.
探讨伴有疲劳(F)和不伴有疲劳(NF)的复发缓解型多发性硬化症(RRMS)患者静息态功能连接(RS-FC)的默认模式网络(DMN)和感觉运动网络(SMN)。
共纳入 59 例 RRMS 患者和 29 名健康对照(HC),均行磁共振成像(MRI)包括静息态功能磁共振成像(RS-fMRI)。通过独立成分分析(ICA)评估 DMN 和 SMN 的功能连接。采用线性回归分析来探讨疲劳是否主要由 DMN 或 SMN 中观察到的变化驱动。采用基于体素的形态学测量(VBM)评估局部灰质萎缩。
与 HC 相比,F-MS 患者 DMN 的后扣带回(PCC)的 RS-FC 增强,而前扣带回(ACC)的 RS-FC 降低。与 NF-MS 患者相比,F-MS 患者的 DMN 的 PCC 的 RS-FC 增加,ACC 的 RS-FC 降低,以及 SMN 的初级运动皮质和辅助运动皮质的 RS-FC 增加。回归分析表明,疲劳主要由 DMN 的 RS-FC 变化驱动。
RRMS 中的疲劳主要与非运动性 RS 网络的功能重排有关。