Disrupted individual-level morphological brain network in spinal muscular atrophy types 2 and 3.

Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 101473265 Publication Model: Print Cited Medium: Internet ISSN: 1755-5949 (Electronic) Linking ISSN: 17555930 NLM ISO Abbreviation: CNS Neurosci Ther Subsets: MEDLINE

Original Publication: Oxford, UK : Wiley-Blackwell, c2008-

Magnetic Resonance Imaging* ; Brain*/pathology ; Brain*/diagnostic imaging; Humans ; Female ; Male ; Adult ; Spinal Muscular Atrophies of Childhood/pathology ; Young Adult ; Adolescent ; Gray Matter/pathology ; Gray Matter/diagnostic imaging ; Child ; Nerve Net/pathology ; Nerve Net/diagnostic imaging

Background and Objective: Spinal muscular atrophy (SMA) is one of the most common monogenic neuromuscular diseases, and the pathogenesis mechanisms, especially the brain network topological properties, remain unknown. This study aimed to use individual-level morphological brain network analysis to explore the brain neural network mechanisms in SMA.
Methods: Individual-level gray matter (GM) networks were constructed by estimating the interregional similarity of GM volume distribution using both Kullback-Leibler divergence-based similarity (KLDs) and Jesen-Shannon divergence-based similarity (JSDs) measurements based on Automated Anatomical Labeling 116 and Hammersmith 83 atlases for 38 individuals with SMA types 2 and 3 and 38 age- and sex-matched healthy controls (HCs). The topological properties were analyzed by the graph theory approach and compared between groups by a nonparametric permutation test. Additionally, correlation analysis was used to assess the associations between altered topological metrics and clinical characteristics.
Results: Compared with HCs, although global network topology remained preserved in individuals with SMA, brain regions with altered nodal properties mainly involved the right olfactory gyrus, right insula, bilateral parahippocampal gyrus, right amygdala, right thalamus, left superior temporal gyrus, left cerebellar lobule IV-V, bilateral cerebellar lobule VI, right cerebellar lobule VII, and vermis VII and IX. Further correlation analysis showed that the nodal degree of the right cerebellar lobule VII was positively correlated with the disease duration, and the right amygdala was negatively correlated with the Hammersmith Functional Motor Scale Expanded (HFMSE) scores.
Conclusions: Our findings demonstrated that topological reorganization may prioritize global properties over nodal properties, and disrupted topological properties in the cortical-limbic-cerebellum circuit in SMA may help to further understand the network pathogenesis underlying SMA.
(© 2024 The Author(s). CNS Neuroscience & Therapeutics published by John Wiley & Sons Ltd.)

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82001439 National Natural Science Foundation of China; 2022A1515011910 Natural Science Fund Project of Guangdong Provience

Keywords: graph theory; morphological brain network; spinal muscular atrophy; structural magnetic resonance imaging

Date Created: 20240618 Date Completed: 20240618 Latest Revision: 20240620

20240620

PMC11183166

10.1111/cns.14804

38887183