Dataset Information

MRI Markers Predict Cognitive Decline Assessed by Telephone Interview: The Northern Manhattan Study.

ABSTRACT: Brain magnetic resonance imaging (MRI) allows researchers to observe structural pathology that may predict cognitive decline. Some populations are less accessible through traditional in-person visits, and may be under-represented in the literature.We examined white matter hyperintensity volume (WMHV) and cerebral parenchymal fraction (CPF) as predictors of cognitive decline measured by a modified Telephone Interview for Cognitive Status (TICS-m) in the Northern Manhattan Stroke Study, a racially and ethnically diverse cohort study. Participants were stroke-free, above 50 years old, and had no contraindications to MRI. A total of 1143 participants had MRI and TICS-m data available [mean age 70 (SD=9), 61% women, 66% Hispanic, 17% Black, 15% white].Those in the third and fourth quartiles of WMHV had significantly greater decline in TICS-m over time as compared with those in the first quartile (Q3: -0.17 points/year, Q4: -0.30 points/year). Those in the bottom 2 quartiles of CPF had significantly greater decline in TICS-m than those in the top quartile (Q1: -0.3 points/year, Q2: -0.2 points/year). Apolipoprotein E (APOE) e4 allele carriers had greater cognitive decline per unit of CPF. Those with greater CPF preserve TICS-m performance better despite greater WMHV.Telephone cognitive assessments can detect decline due to white matter lesions and smaller brain volumes.

SUBMITTER: Wright CB

PROVIDER: S-EPMC5272913 | biostudies-literature | 2017 Jan-Mar

REPOSITORIES: biostudies-literature

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MRI Markers Predict Cognitive Decline Assessed by Telephone Interview: The Northern Manhattan Study.

Wright Clinton B CB Dong Chuanhui C Caunca Michelle R MR DeRosa Janet J Kuen Cheng Ying Y Rundek Tatjana T Elkind Mitchell S V MS DeCarli Charles C Sacco Ralph L RL

Alzheimer disease and associated disorders 20170101 1

<h4>Background</h4>Brain magnetic resonance imaging (MRI) allows researchers to observe structural pathology that may predict cognitive decline. Some populations are less accessible through traditional in-person visits, and may be under-represented in the literature.<h4>Methods</h4>We examined white matter hyperintensity volume (WMHV) and cerebral parenchymal fraction (CPF) as predictors of cognitive decline measured by a modified Telephone Interview for Cognitive Status (TICS-m) in the Northern ...[more]

PMID: 27467026

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Project description:BackgroundThere is mounting evidence that long-term exposure to air pollution is related to accelerated cognitive decline in aging populations. Factors that influence individual susceptibility remain largely unknown, but may involve the apolipoprotein E genotype E4 (APOE-ε4) allele.ObjectivesWe assessed whether the association between long-term exposure to ambient air pollution and cognitive decline differed by APOE-ε4 status and cognitive risk factors.MethodsThe Washington Heights Inwood Community Aging Project (WHICAP) is a prospective study of aging and dementia. Neuropsychological testing and medical examinations occur every 18-24 months. We used mixed-effects models to evaluate whether the association between markers of ambient air pollution (nitrogen dioxide [NO2]), fine [PM2.5], and coarse [PM10] particulate matter) and the rate of decline in global and domain-specific cognition differed across strata defined by APOE-ε4 genotypes and cognitive risk factors, adjusting for sociodemographic factors and temporal trends.ResultsAmong 4821 participants with an average of 6 years follow-up, higher concentrations of ambient air pollution were associated with more rapid cognitive decline. This association was more pronounced among APOE-ε4 carriers (p < 0.001). A one interquartile range increase in NO2 was associated with an additional decline of 0.09 standard deviations (SD) (95%CI -0.1, -0.06) in global cognition across biennial visits among APOE-ε4 positive individuals and a 0.07 SD (95%CI -0.09, -0.05) decline among APOE-ε4 negative individuals. Results for PM2.5, PM10 and cognitive domains were similar. The association between air pollutants and rate of cognitive decline also varied across strata of race-ethnicity with the association strongest among White non-Hispanic participants.ConclusionsThese results add to the body of evidence on the adverse impact of ambient air pollution on cognitive aging and brain health and provide new insights into the genetic and behavioral factors that may impact individual susceptibility.

Dataset Information

MRI Markers Predict Cognitive Decline Assessed by Telephone Interview: The Northern Manhattan Study.

Publications

MRI Markers Predict Cognitive Decline Assessed by Telephone Interview: The Northern Manhattan Study.

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