Alvino Bisecco1, Federica Di Nardo2, Renato Docimo3, Giuseppina Caiazzo4, Alessandro d'Ambrosio3, Simona Bonavita1, Rocco Capuano3, Leonardo Sinisi5, Mario Cirillo6, Fabrizio Esposito7, Gioacchino Tedeschi1, Antonio Gallo1. 1. 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. 2. 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. 3. Division of Neurology, Department of Medical, Surgical, Neurologic, Metabolic and Aging Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy. 4. MRI Research Center "SUN-FISM", University of Campania "Luigi Vanvitelli", Naples, Italy; Institute of Diagnosis and Care "Hermitage Capodimonte", Naples, Italy. 5. MS Center, San Paolo Hospital, ASL Napoli 1 Center, Naples, Italy. 6. MRI Research Center "SUN-FISM", University of Campania "Luigi Vanvitelli", Naples, Italy; Institute of Diagnosis and Care "Hermitage Capodimonte", Naples, Italy; Neuroradiology Service, Department of Radiology, University of Campania "Luigi Vanvitelli", Naples, Italy. 7. MRI Research Center "SUN-FISM", University of Campania "Luigi Vanvitelli", Naples, Italy; Institute of Diagnosis and Care "Hermitage Capodimonte", Naples, Italy; Department of Medicine and Surgery, University of Salerno, Baronissi, Italy.
Abstract
OBJECTIVES: 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). METHODS: 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). RESULTS: 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. CONCLUSIONS: Fatigue in RRMS is mainly associated to a functional rearrangement of non-motor RS networks.
OBJECTIVES: 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). METHODS: 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). RESULTS: Compared to HC, F-MSpatients 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-MSpatients, 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. CONCLUSIONS:Fatigue in RRMS is mainly associated to a functional rearrangement of non-motor RS networks.
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