title: MRI Markers Predict Cognitive Decline Assessed by Telephone Interview: The Northern Manhattan Study.
abstract: BACKGROUND
  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.
  
  
  METHODS
  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].
  
  
  RESULTS
  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.
  
  
  CONCLUSIONS
  Telephone cognitive assessments can detect decline due to white matter lesions and smaller brain volumes.
authors.affiliation: *Evelyn F. McKnight Brain Institute Departments of †Neurology ‡Public Health Sciences, Leonard M. Miller School of Medicine, University of Miami, Miami, FL Departments of §Epidemiology ∥Biostatistics, Mailman School of Public Health ¶Department of Neurology, College of Physicians and Surgeons of Columbia University, New York, NY #Department of Neurology and Center for Neuroscience, University of California, Davis, Sacramento, CA.
authors.forename: Clinton B
authors.initials: CB
authors.lastname: Wright
authors.forename: Chuanhui
authors.initials: C
authors.lastname: Dong
authors.forename: Michelle R
authors.initials: MR
authors.lastname: Caunca
authors.forename: Janet
authors.initials: J
authors.lastname: DeRosa
authors.forename: Ying
authors.initials: Y
authors.lastname: Kuen Cheng
authors.forename: Tatjana
authors.initials: T
authors.lastname: Rundek
authors.forename: Mitchell S V
authors.initials: MS
authors.lastname: Elkind
authors.forename: Charles
authors.initials: C
authors.lastname: DeCarli
authors.forename: Ralph L
authors.initials: RL
authors.lastname: Sacco
mesh_terms: D000368:Aged; D000483:Alleles; D053327:Apolipoprotein E4 / Q000235:genetics; D003072:Cognition Disorders / Q000175:diagnosis* / Q000208:ethnology / Q000235:genetics; D005006:Ethnicity / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D007407:Interviews as Topic; D008137:Longitudinal Studies; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D009519:New York City; D011446:Prospective Studies; D013689:Telephone; D066127:White Matter
chemical_list: D053327:Apolipoprotein E4