title: [Association between depressive symptoms and cerebrovascular lesions on MRI in community-dwelling elderly individuals].
abstract: OBJECTIVE
  We conducted a community-based study to verify relationships between cerebrovascular lesions (CVL) on magnetic resonance imaging and depressive symptoms (DS) in elderly individuals, and the validity of Krishnan's MRI-defined vascular depression (MRI-VD).
  
  
  METHODS
  MRI was performed in 196 community-dwelling elderly individuals (mean age, 72.3 +/- 1.7 years; range, 70-75 years) with a Mini Mental State (MMS) score of 22 or more who participated in the comprehensive geriatric assessment. The DS (+) group consisted of 41 subjects with Geriatric Depression Scale (GDS) score of 15 or more. The DS (-) group consisted of 141 subjects with a GDS score of 9 or less. Hyperintensities of deep white matter and subcortical gray matter were scored according to the modified Fazekas criteria. The CVL score was defined as the higher of the two scores, and 3 grades were defined as scores of 0, 1, or 2 or more. According to Krishnan's MRI-VD, a CVL score of 2 or more was defined as CVL (+). Logistic regression analyses were used to test associations between CVL and DS, and univariate analyses were used to examine differences in clinical features between CVL (+) and CVL (-) within the DS (+) group;
  
  
  RESULTS
  Logistic regression analysis adjusting for age, sex, cognitive function, educational level, instrumental activities of daily life (IADL) and subjective healthiness, CVL scores of 1 and 2 or more displayed significant associations with DS compared with a score of 0. However, no significant differences in DS were found between CVL (+) and CVL (-). Within the DS (+) group, no significant differences were noted between CVL (+) and CVL (-) in MMS, IADL, subjective healthiness, sleeping symptoms, alcohol-related problem or suicidal ideation.
  
  
  CONCLUSIONS
  CVL was associated with DS independent of various confounders. However, clarification of clinical profiles is required to define MRI-VD as an independent clinical entity.
authors.affiliation: Department of Psychiatry, Graduate School of Medicine, Tohoku University.
authors.forename: Toru
authors.initials: T
authors.lastname: Seki
authors.forename: Shuichi
authors.initials: S
authors.lastname: Awata
authors.forename: Yayoi
authors.initials: Y
authors.lastname: Koizumi
authors.forename: Shigeo
authors.initials: S
authors.lastname: Kinomura
authors.forename: Yasuyuki
authors.initials: Y
authors.lastname: Taki
authors.forename: Atsushi
authors.initials: A
authors.lastname: Hozawa
authors.forename: Kaori
authors.initials: K
authors.lastname: Ohmori
authors.forename: Shinichi
authors.initials: S
authors.lastname: Kuriyama
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Fukuda
authors.forename: Ichiro
authors.initials: I
authors.lastname: Tsuji
mesh_terms: D000368:Aged; D001921:Brain / Q000473:pathology*; D002561:Cerebrovascular Disorders / Q000175:diagnosis / Q000523:psychology*; D003863:Depression; D005260:Female; D015577:Geriatric Assessment; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D011569:Psychiatric Status Rating Scales