J Neurol Neurosurg Psychiatry 72:737-741 doi:10.1136/jnnp.72.6.737
  • Paper

Quantitative MRI findings and cognitive impairment among community dwelling elderly subjects

  1. H Koga1,
  2. T Yuzuriha2,
  3. H Yao2,
  4. K Endo2,
  5. S Hiejima2,
  6. Y Takashima2,
  7. F Sadanaga2,
  8. T Matsumoto2,
  9. A Uchino4,
  10. K Ogomori1,
  11. A Ichimiya3,
  12. H Uchimura2,
  13. N Tashiro1
  1. 1Department of Neuropsychiatry, Faculty of Medicine, Kyushu University Hospital, Maidashi, Fukuoka 812–8582, Japan
  2. 2Center for Emotional and Behavioral Disorders, Hizen National Hospital, Japan
  3. 3Institute of Health Science, Kyushu University, Japan
  4. 4Department of Radiology, Saga Medical College, Japan
  1. Correspondence to:
 Dr H Koga, Department of Neuropsychiatry, Faculty of Medicine, Kyushu University Hospital, Maidashi, Fukuoka 812–8582, Japan;
  • Received 1 February 2001
  • Accepted 6 August 2001
  • Revised 2 July 2001


Objectives: To study the factors which influence cognitive impairment among elderly subjects living in a local community, based on both MRI and clinical findings, to further elucidate the causes of dementia, and also to help develop strategies for its prevention.

Methods: Cranial MRI and other medical examinations were performed on non-demented elderly subjects who resided in one rural community. A total of 254 subjects aged from 60 to 91 years of age, with a mean age of 73.9 (SD 6.8) were examined. The mini mental state examination (MMSE) was used to identify cognitive impairment. White matter lesions and cerebral atrophy on MR images were measured quantitatively. A multivariate analysis was also performed with the existence of cognitive impairment as the dependent variable, and the MRI findings and clinical observations were used as the independent variables.

Results: Cognitive impairment was present in 46 subjects (18.1%). They were older, had a lower educational level, and more frequent hypertension compared with those without cognitive impairment. The packed cell volume was lower in the impaired group. In addition, their MRI findings showed significantly larger quantities of white matter lesions and cerebral atrophy, as well as more infarcts. A logistic regression analysis demonstrated a significant relation among such factors as white matter lesions (odds ratio (OR) 1.575, 95% confidence interval (95% CI) 1.123–2.208), cerebral atrophy (OR 0.761, 95%CI 0.587–0.987), and lower education (OR 0.682, 95%CI 0.544–0.855) for subjects with a cognitive impairment.

Conclusions: White matter lesions and cerebral atrophy are factors which induce a cognitive impairment in community dwelling elderly subjects without dementia. It is important to carefully watch for any abnormalities in these factors, and to perform cohort studies to check for the above risk factors, to both prevent and make an early diagnosis of dementia.


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