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Updated: May 7, 2026

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
Published on: November 13, 2016
Resting-state functional magnetic resonance imaging reveals functional connectivity alteration in the experimental
Pietro Bontempi1, Giusi Piccolantonio1, Alice Busato2,3
1Department of Engineering for Innovation Medicine, University of Verona, Verona, Italy.
Abstract:
Multiple sclerosis (MS) is an autoimmune degenerative disease targeting white matter in the central nervous system. The most common animal model that mimics MS is experimental autoimmune encephalomyelitis (EAE) and it plays a crucial role in pharmacological research, from the identification of a therapeutic target to the in vivo validation of efficacy. Magnetic resonance imaging (MRI) is largely used to detect MS lesions, and resting-state functional MRI (rsfMRI) to investigate alterations in the brain functional connectivity (FC). MRI was mainly used in EAE studies to detect lesions in the spinal cord and brain. The current longitudinal MRI study aims to validate rsfMRI as a biomarker of the disease progression in the myelin oligodendrocyte glycoprotein 35-55 induced EAE animal model of MS. MR images were acquired 14, 25, and 50 days postimmunization. Seed-based analysis was used to investigate the whole-brain FC with some predefined areas, such as the thalamic regions, cerebellum, motor and somatosensory cortex. When compared with the control group, the EAE group exhibited a slightly altered FC and a decreasing trend in the total number of activated voxels along the disease progression. The most interesting result regards the whole-brain FC with the cerebellum. A hyperconnectivity behavior was found at an early phase and a significant reduced connectivity at a late phase. Moreover, we found a negative correlation between the total number of activated voxels during the late phase and the cumulative disease index. The results obtained provide a clinically relevant experimental platform that may be pivotal for the elucidation of the key mechanisms of accumulation of irreversible disability, as well as the development of innovative therapies for MS. Moreover, the negative correlation between the disease severity and the size of the activated area suggests a possible research pathway to follow for the resolution of the clinico-radiological paradox.
Insights
Resting-state functional MRI (rsfMRI) shows altered brain connectivity in an animal model of multiple sclerosis (MS). rsfMRI may serve as a biomarker for MS progression and disability, aiding in therapy development.
Area of Science:
- Neuroscience
- Immunology
- Radiology
Background:
- Multiple sclerosis (MS) is a central nervous system autoimmune disease.
- Experimental autoimmune encephalomyelitis (EAE) is a key animal model for MS research.
- Magnetic resonance imaging (MRI) and functional MRI (fMRI) are vital for studying MS and EAE.
Purpose of the Study:
- To validate resting-state functional MRI (rsfMRI) as a biomarker for disease progression in the MOG35-55 induced EAE model of MS.
- To investigate alterations in whole-brain functional connectivity (FC) during MS progression using rsfMRI.
- To explore the relationship between FC changes, disease severity, and disability accumulation.
Main Methods:
- Longitudinal MRI scans (rsfMRI) were acquired at 14, 25, and 50 days post-immunization in EAE and control groups.
- Seed-based analysis was employed to assess whole-brain FC with specific regions (thalamus, cerebellum, cortex).
- Disease progression was monitored using the cumulative disease index.
Main Results:
- The EAE group showed altered FC and a decreasing trend in activated voxels compared to controls.
- A significant shift in cerebellar FC was observed: hyperconnectivity early and reduced connectivity late in the disease.
- A negative correlation was found between activated voxel count in the late phase and cumulative disease index.
Conclusions:
- rsfMRI can serve as a biomarker for MS progression in the EAE model.
- Cerebellar FC dynamics reflect disease stages, offering insights into disability.
- The findings support rsfMRI as a tool for understanding MS pathophysiology and developing new therapies, potentially addressing the clinico-radiological paradox.
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