Clinical trial NCT03775941: Fitness on White Matter and Cognition in Aging
Official title: Neuroprotective Effects of Cardiorespiratory Fitness on White Matter Integrity and Cognition Across the Adult Lifespan
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Cognitive Decline
Executive Dysfunction
Cardiovascular Risk Factor
Keywords: Neuroimaging
White matter
Cardiorespiratory fitness
Physical activity
Cognitive aging
Executive function
Cognitive reserve
Lead sponsor: Suffolk University
Sponsor class: OTHER
First posted: 2018-12-14
Enrollment: 645
Sex: ALL
Minimum age (years): 20
Maximum age (years): 85
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Observational model: ECOLOGIC_OR_COMMUNITY
Time perspective: CROSS_SECTIONAL
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Participants are community-dwelling adults from the "Cross-Sectional Lifespan Connectomics Study" of the Nathan Kline Institute - Rockland Sample (NKI-RS)-a large cross-sectional sample of adult brain development. NKI prospectively recruited community-dwelling residents of Rockland County, New York-a region that is socioeconomically comparable to United States demographics.

Brief summary: Cardiorespiratory fitness (CRF) is associated with decreased risk for mild cognitive impairment (MCI) and dementia. CRF is linked with more conserved gray and white matter (WM) volume, improved WM microstructural integrity, and better cognitive performance among healthy older adults. Additional research is needed to determine: (1) which WM tracts are most strongly related to CRF, (2) whether CRF-related benefits on WM translate to enhanced cognitive functioning, and (3) factors that mediate and moderate CRF effects. Higher CRF was hypothesized to be associated with stronger WM integrity, both globally and locally in WM tracts that connect frontal brain regions. The neuroprotective effects were hypothesized to be age-dependent, such that the association between CRF and WM integrity would be stronger in old age compared to younger age. Finally, higher CRF was hypothesized to predict stronger performance on tests of executive functioning (EF), partially mediated by frontal WM integrity. Delineation of specific neurocognitive effects of CRF may serve clinicians in individually tailoring wellness interventions to meet patients' specific cognitive concerns with aging.

Detailed description: 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.

Eligibility criteria: NKI-RS eligibility criteria was designed for inclusivity. Nearly half of recruited individuals met criteria for at least one Diagnostic Statistical Manual - 4th Edition diagnosis based on a semi-structured clinical interview.

Inclusion Criteria (present study):

* diffusion tensor imaging (DTI) without significant artifacts
* T1-weighted structural imaging (Magnetization-Prepared Rapid Gradient-Echo; MPRAGE) without significant artifacts
* CRF data from a standardized cycle ergometer test (commonly used for predicting maximal oxygen uptake; VO2 max).

Exclusion Criteria (per NKI-RS protocol):

* severe psychiatric illness (bipolar disorder, schizophrenia disorder, schizoaffective disorder)
* severe developmental disorders (autism spectrum disorders, intellectual disabilities)
* current suicidal or homicidal ideation
* severe cerebral trauma (stroke, moderate to severe traumatic brain injury, ischemic attack in the past two years)
* severe neurodegenerative disorders (Parkinson's disease, Huntington's Disease, dementia)
* a history of substance dependence in the past two years (with an exception for cannabis)
* a lifetime history of psychiatric hospitalization
* current pregnancy
* MRI contraindications

Primary outcomes:
measure: white matter (WM) microstructure integrity
timeFrame: Measured between 9:00 and 10:00 am on the single assessment day.
measure: executive function (EF)
timeFrame: Measured between 12:30 and 2:30 pm on the single assessment day.
measure: executive function (EF)
timeFrame: Measured between 11:00 am and 12:00 pm on the single assessment day.
Secondary outcomes:
Other outcomes:
Locations:
Study officials:
References:
citation: Nooner KB, Colcombe SJ, Tobe RH, Mennes M, Benedict MM, Moreno AL, Panek LJ, Brown S, Zavitz ST, Li Q, Sikka S, Gutman D, Bangaru S, Schlachter RT, Kamiel SM, Anwar AR, Hinz CM, Kaplan MS, Rachlin AB, Adelsberg S, Cheung B, Khanuja R, Yan C, Craddock CC, Calhoun V, Courtney W, King M, Wood D, Cox CL, Kelly AM, Di Martino A, Petkova E, Reiss PT, Duan N, Thomsen D, Biswal B, Coffey B, Hoptman MJ, Javitt DC, Pomara N, Sidtis JJ, Koplewicz HS, Castellanos FX, Leventhal BL, Milham MP. The NKI-Rockland Sample: A Model for Accelerating the Pace of Discovery Science in Psychiatry. Front Neurosci. 2012 Oct 16;6:152. doi: 10.3389/fnins.2012.00152. eCollection 2012.