Structural Networks associated with gait speed in older adults with and without MS.

Motivation: : Mobility disability is common in older adults and understanding how mobility relates to specific brain regions in older adults with Multiple sclerosis (OAMS) is of utmost importance. Goal(s): Identify specific networks predictive of mobility measures in OAMS and controls. Approach: Source-based morphometry was applied to T1 scans, in a cohort of 209 older adults [103 MS; 106 controls; 66.5±6.3 years], to extract grey matter structural covariance networks. Results: Subcortical (putamen and thalamus) and occipital-temporal networks showed significant associations with gait speed. The results provide new insights into brain - behavior associations in older adults with and without MS. Impact: The association of GM structural covariance networks in subcortical brain regions among a sample of older adults to cognitive measures provides insights into research in brain - behavior associations in the broad field of neuropsychology and aging.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/4208
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00
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article

Structural Networks associated with gait speed in older adults with and without MS.

Siddharth Nayak, Roee Holtzer, Mark E Wagshul
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Balance, Gait, and Falls Prevention
article

Structural Networks associated with gait speed in older adults with and without MS.

Siddharth Nayak, Roee Holtzer, Mark E Wagshul
article en

Abstract

Motivation: : Mobility disability is common in older adults and understanding how mobility relates to specific brain regions in older adults with Multiple sclerosis (OAMS) is of utmost importance. Goal(s): Identify specific networks predictive of mobility measures in OAMS and controls. Approach: Source-based morphometry was applied to T1 scans, in a cohort of 209 older adults [103 MS; 106 controls; 66.5±6.3 years], to extract grey matter structural covariance networks. Results: Subcortical (putamen and thalamus) and occipital-temporal networks showed significant associations with gait speed. The results provide new insights into brain - behavior associations in older adults with and without MS. Impact: The association of GM structural covariance networks in subcortical brain regions among a sample of older adults to cognitive measures provides insights into research in brain - behavior associations in the broad field of neuropsychology and aging.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 61%
Balance, Gait, and Falls Prevention
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Structural Networks associated with gait speed in older adults with and without MS. — Siddharth Nayak, Roee Holtzer, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS