Mark E Wagshul, Siddharth Nayak, Frederick W Foley, Robert W Motl, Manuel E Hernandez, Meltem Izzetoglu, Roee Holtzer
{"title":"老年人活动能力的灰质萎缩模式有和没有多发性硬化症。","authors":"Mark E Wagshul, Siddharth Nayak, Frederick W Foley, Robert W Motl, Manuel E Hernandez, Meltem Izzetoglu, Roee Holtzer","doi":"10.1007/s00415-025-13373-w","DOIUrl":null,"url":null,"abstract":"<p><p>Mobility impairment is common in multiple sclerosis, especially in older adults with multiple sclerosis (OAMS). Grey matter (GM) changes are well documented in MS, and GM atrophy is common in older adults. The relationship between GM changes and mobility disability in OAMS is unknown. We sought to identify GM patterns associated with gait speed in OAMS and healthy older controls, using structural covariance network analysis. OAMS (n = 102; 64.8 ± 4.4 years) and healthy controls (n = 106; 68.2 ± 7.3 years) underwent brain MRI and gait assessments; structural covariance networks were constructed to elucidate brain regions with significant associations between GM volume and 25-foot walk gait speed. We used voxel-wise linear regression analyses to elucidate per-network subregions with significant correlations with gait speed. Voxel-wise moderation analysis tested for group differences in these associations. Across the entire cohort, the following networks demonstrated significant gait speed associations: bilateral hippocampus, bilateral caudate/pallidum/putamen, bilateral thalamus/putamen, right middle temporal gyrus and multiple cerebellar regions. There were no significant group-by-network interaction effects. In summary, structural network analysis reveals unique brain patterns of gait speed in older adults, but these patterns are common amongst healthy older adults and OAMS and highlight the importance of cerebellar and subcortical networks in supporting gait speed.</p>","PeriodicalId":16558,"journal":{"name":"Journal of Neurology","volume":"272 10","pages":"656"},"PeriodicalIF":4.6000,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12474737/pdf/","citationCount":"0","resultStr":"{\"title\":\"Grey matter atrophy patterns of mobility shared across older adults with and without multiple sclerosis.\",\"authors\":\"Mark E Wagshul, Siddharth Nayak, Frederick W Foley, Robert W Motl, Manuel E Hernandez, Meltem Izzetoglu, Roee Holtzer\",\"doi\":\"10.1007/s00415-025-13373-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Mobility impairment is common in multiple sclerosis, especially in older adults with multiple sclerosis (OAMS). Grey matter (GM) changes are well documented in MS, and GM atrophy is common in older adults. The relationship between GM changes and mobility disability in OAMS is unknown. We sought to identify GM patterns associated with gait speed in OAMS and healthy older controls, using structural covariance network analysis. OAMS (n = 102; 64.8 ± 4.4 years) and healthy controls (n = 106; 68.2 ± 7.3 years) underwent brain MRI and gait assessments; structural covariance networks were constructed to elucidate brain regions with significant associations between GM volume and 25-foot walk gait speed. We used voxel-wise linear regression analyses to elucidate per-network subregions with significant correlations with gait speed. Voxel-wise moderation analysis tested for group differences in these associations. Across the entire cohort, the following networks demonstrated significant gait speed associations: bilateral hippocampus, bilateral caudate/pallidum/putamen, bilateral thalamus/putamen, right middle temporal gyrus and multiple cerebellar regions. There were no significant group-by-network interaction effects. In summary, structural network analysis reveals unique brain patterns of gait speed in older adults, but these patterns are common amongst healthy older adults and OAMS and highlight the importance of cerebellar and subcortical networks in supporting gait speed.</p>\",\"PeriodicalId\":16558,\"journal\":{\"name\":\"Journal of Neurology\",\"volume\":\"272 10\",\"pages\":\"656\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12474737/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Neurology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s00415-025-13373-w\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neurology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00415-025-13373-w","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Grey matter atrophy patterns of mobility shared across older adults with and without multiple sclerosis.
Mobility impairment is common in multiple sclerosis, especially in older adults with multiple sclerosis (OAMS). Grey matter (GM) changes are well documented in MS, and GM atrophy is common in older adults. The relationship between GM changes and mobility disability in OAMS is unknown. We sought to identify GM patterns associated with gait speed in OAMS and healthy older controls, using structural covariance network analysis. OAMS (n = 102; 64.8 ± 4.4 years) and healthy controls (n = 106; 68.2 ± 7.3 years) underwent brain MRI and gait assessments; structural covariance networks were constructed to elucidate brain regions with significant associations between GM volume and 25-foot walk gait speed. We used voxel-wise linear regression analyses to elucidate per-network subregions with significant correlations with gait speed. Voxel-wise moderation analysis tested for group differences in these associations. Across the entire cohort, the following networks demonstrated significant gait speed associations: bilateral hippocampus, bilateral caudate/pallidum/putamen, bilateral thalamus/putamen, right middle temporal gyrus and multiple cerebellar regions. There were no significant group-by-network interaction effects. In summary, structural network analysis reveals unique brain patterns of gait speed in older adults, but these patterns are common amongst healthy older adults and OAMS and highlight the importance of cerebellar and subcortical networks in supporting gait speed.
期刊介绍:
The Journal of Neurology is an international peer-reviewed journal which provides a source for publishing original communications and reviews on clinical neurology covering the whole field.
In addition, Letters to the Editors serve as a forum for clinical cases and the exchange of ideas which highlight important new findings. A section on Neurological progress serves to summarise the major findings in certain fields of neurology. Commentaries on new developments in clinical neuroscience, which may be commissioned or submitted, are published as editorials.
Every neurologist interested in the current diagnosis and treatment of neurological disorders needs access to the information contained in this valuable journal.