Spatial gene expression and functional network abnormalities in multiple sclerosis: exploring biological influence on brain functional reorganization
Paolo Preziosa, Matteo Azzimonti, Loredana Storelli, Paola Valsasina, Nicolò Tedone, Monica Margoni, Massimo Filippi, Maria A. Rocca

TL;DR
This study explores how gene expression patterns in the brain relate to functional network changes in multiple sclerosis patients, revealing biological influences on brain reorganization.
Contribution
The study links spatial gene expression data with functional MRI to identify biological mechanisms underlying brain network abnormalities in MS.
Findings
MS patients show higher centrality in the default-mode network linked to inflammation and immune-related genes.
Cognitively impaired MS patients exhibit altered centrality in brain regions correlated with DNA degradation and iron homeostasis genes.
Progressive MS is associated with functional changes in the DMN and cerebellum tied to epigenetic and mitochondrial gene expression.
Abstract
In multiple sclerosis (MS), functional network abnormalities arise as structural damage accumulates. However their biological basis and spatial distribution remain unclear. This study investigated the associations between MS-related functional network abnormalities and physiological gene expression using the Allen Human Brain Atlas (AHBA). Five-hundred fifty-eight MS patients and 214 healthy controls (HC) underwent neurological assessment and 3 T MRI; 491 patients also completed a neuropsychological evaluation. Resting-state functional MRI was used to generate degree centrality maps to identify network topography alterations. Spatial correlations between centrality abnormalities (p < 0.01 uncorrected) and the expression of 3634 MS-related genes was evaluated using AHBA and the Multimodal Environment for Neuroimaging and Genomic Analysis. Genes showing significant associations (p <…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsMultiple Sclerosis Research Studies · Bioinformatics and Genomic Networks · Mental Health Research Topics
