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Abstract #4208

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

Siddharth Nayak1, Mark Wagshul2, and Roee Holtzer1
1Neurology, Albert Einstein College of Medicine, Bronx, NY, United States, 2Radiology, Albert Einstein College of Medicine, Bronx, NY, United States

Synopsis

Keywords: Aging, Aging

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.

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