Structural and Functional Brain Network Connectivity at Different King's Stages in Patients With Amyotrophic Lateral Sclerosis.

Neurology

From the Neuroimaging Research Unit (E.G.S., A.G., S.B., E.C., V.C., C.C., M.F., F.A.), Division of Neuroscience, and Neurology Unit (E.G.S., A.G., T.R., P.S., Y.M.F., M.F., F.A.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (E.G.S., A.G., T.R., M.F., F.A.); Neurorehabilitation Unit (N.R., M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy.

Published: January 2024

Background And Objectives: There is currently no validated disease-stage biomarker for amyotrophic lateral sclerosis (ALS). The identification of quantitative and reproducible markers of disease stratification in ALS is fundamental for study design definition and inclusion of homogenous patient cohorts into clinical trials. Our aim was to assess the rearrangements of structural and functional brain connectivity underlying the clinical stages of ALS, to suggest objective, reproducible measures provided by MRI connectomics mirroring disease staging.

Methods: In this observational study, patients with ALS and healthy controls (HCs) underwent clinical evaluation and brain MRI on a 3T scanner. Patients were classified into 4 groups, according to the King's staging system. Structural and functional brain connectivity matrices were obtained using diffusion tensor and resting-state fMRI data, respectively. Whole-brain network-based statistics (NBS) analysis and comparisons of intraregional and inter-regional connectivity values using analysis of covariance models were performed between groups. Correlations between MRI and clinical/cognitive measures were tested using Pearson coefficient.

Results: One hundred four patients with ALS and 61 age-matched and sex-matched HCs were included. NBS and regional connectivity analyses demonstrated a progressive decrease of intranetwork and internetwork structural connectivity of sensorimotor regions at increasing ALS stages in our cohort, compared with HCs. By contrast, functional connectivity showed divergent patterns between King's stages 3 (increase in basal ganglia and temporal circuits [ = 0.04 and = 0.05, respectively]) and 4 (frontotemporal decrease [ = 0.03]), suggesting a complex interplay between opposite phenomena in late stages of the disease. Intraregional sensorimotor structural connectivity was correlated with ALS Functional Rating Scale-revised (ALSFRS-r) score ( = 0.31, < 0.001) and upper motor neuron burden ( = -0.25, = 0.01). Inter-regional frontal-sensorimotor structural connectivity was also correlated with ALSFRS-r ( = 0.24, = 0.02). No correlations with cognitive measures were found.

Discussion: MRI of the brain allows to demonstrate and quantify increasing disruption of structural connectivity involving the sensorimotor networks in ALS, mirroring disease stages. Frontotemporal functional disconnection seems to characterize only advanced disease phases. Our findings support the utility of MRI connectomics to stratify patients and stage brain pathology in ALS in a reproducible way, which may mirror clinical progression.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10962907PMC
http://dx.doi.org/10.1212/WNL.0000000000207946DOI Listing

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