title: Association between white matter hyperintensity and lacunar infarction on MRI and subitem scores of the Japanese version of mini-mental state examination for testing cognitive decline: the Ohasama study.
abstract: We assessed whether subitem scores on the Mini-Mental State Examination (MMSE) associated independently with cerebral white matter hyperintensity (WMH) and lacunar infarction (LI). Magnetic resonance imaging (MRI) and neuropsychological evaluation (MMSE) were performed in 1008 elderly individuals from the Ohasama Study (348 men, 660 women [65.5%]; age 68.0 ± 6.0 [mean ± SD] years; MMSE score, 26.5 ± 2.9). The relationships between MRI findings and MMSE subitem scores were analyzed by logistic regression. Significant associations were observed between the MMSE subitems "Orientation to place" and WMH, and "Copy a figure" and LI. Pathological changes were detected by brain MRI associated with a decrease in cognitive function in healthy elderly individuals.
authors.affiliation: Department of Physical Medicine and Rehabilitation, Graduate School of Medicine, Tohoku University, Sendai, Japan.
authors.forename: Eman M
authors.initials: EM
authors.lastname: Elnimr
authors.forename: Takeo
authors.initials: T
authors.lastname: Kondo
authors.forename: Yoshimi
authors.initials: Y
authors.lastname: Suzukamo
authors.forename: Michihiro
authors.initials: M
authors.lastname: Satoh
authors.forename: Yutaka
authors.initials: Y
authors.lastname: Oouchida
authors.forename: Azusa
authors.initials: A
authors.lastname: Hara
authors.forename: Takayoshi
authors.initials: T
authors.lastname: Ohkubo
authors.forename: Masahiro
authors.initials: M
authors.lastname: Kikuya
authors.forename: Mikio
authors.initials: M
authors.lastname: Hirano
authors.forename: Aya
authors.initials: A
authors.lastname: Hosokawa
authors.forename: Toru
authors.initials: T
authors.lastname: Hosokawa
authors.forename: Yutaka
authors.initials: Y
authors.lastname: Imai
authors.forename: Shin-Ichi
authors.initials: S
authors.lastname: Izumi
mesh_terms: D000368:Aged; D000465:Algorithms; D000704:Analysis of Variance; D001921:Brain / Q000473:pathology*; D003071:Cognition; D060825:Cognitive Dysfunction / Q000175:diagnosis* / Q000473:pathology; D015331:Cohort Studies; D003430:Cross-Sectional Studies; D018450:Disease Progression; D005260:Female; D006801:Humans; D007564:Japan; D016015:Logistic Models; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D009413:Nerve Fibers, Myelinated / Q000473:pathology*; D009483:Neuropsychological Tests; D011594:Psychometrics; D012107:Research Design; D012307:Risk Factors; D059409:Stroke, Lacunar / Q000175:diagnosis* / Q000473:pathology