Fitness on White Matter and Cognition in Aging

Sample: Participant data from the "Cross-Sectional Lifespan Connectomics Study" of the Nathan Kline Institute - Rockland Sample (NKI-RS) will be analyzed for the present study. Zip code-based recruitment and monitoring enrollment for key demographic variables (e.g., age, sex, ethnicity) were used to maintain adequate representation of Rockland County and prevent sampling biases (e.g., cohort effects). NKI-RS eligibility was designed for inclusivity. Procedure: All participants completed a medical evaluation, psychiatric interview, self-report questionnaires, standardized battery of cognitive tests, and neuroimaging at NKI. Complete details about the MRI measurement parameters can be located on the NKI-RS website for DTI and MPRAGE and protocols. Quality assurance of raw data, inclusive of monitoring standard operating procedures, error-handling, and compiling the data dictionary, is maintained by NKI-RS. Raw neuroimaging data was acquired by NKI-RS and processed at Suffolk University using TRACULA and FreeSurfer 5.3. Statistical Plan: Analyses will be performed on de-identified phenotypic and neuroimaging data from adult NKI-RS participants available at the start of this study (October 2016). Analyses will evaluate the potential for CRF to modulate decline in WM integrity and EF observed with aging. Mixed-effects modeling will investigate the extent to which CRF predicts WM integrity, as both a global measurement of fractional anisotropy (FA) and FA within nine major WM tracts. Structural equation modeling will examine whether higher FA within frontal WM tracts partially mediates a positive relationship between CRF and EF. The role of age and clinical characteristics (e.g., cardiovascular risk factors, depression) will also be explored as covariates in the link between CRF, WM, and EF.