Literature DB >> 7501162

The effect of white matter hyperintensity volume on brain structure, cognitive performance, and cerebral metabolism of glucose in 51 healthy adults.

C DeCarli1, D G Murphy, M Tranh, C L Grady, J V Haxby, J A Gillette, J A Salerno, A Gonzales-Aviles, B Horwitz, S I Rapoport.   

Abstract

OBJECTIVE: To assess the association of MRI white matter hyperintensities (WMHI) with cognitive performance, cerebral structure, and cerebral metabolism in 51 healthy individuals aged 19 to 91 years without cerebrovascular risk factors.
BACKGROUND: Abnormal white matter signals have been associated with brain atrophy, reduced cerebral blood flow, focal neurologic signs, gait disorder, and poorer neuropsychological test performance. Most studies of WMHI, however, include subjects with hypertension or other identifiable causes of cerebrovascular disease that may have an independent effect on brain structure and function. To assess brain changes associated with WMHI independent of cerebrovascular risk factors, we determined WMHI volume, brain volume, cerebral metabolism, and cognitive performance for a group of subjects free of medical illness. Regional cerebral metabolism and cognitive domains were also assessed to evaluate the possible role of frontal lobe dysfunction in subjects with WMHI.
DESIGN: Cross-sectional study of 51 very healthy subjects aged 19 to 91 years.
METHODS: WMHI, brain, and CSF volumes were determined by MRI segmentation. Neuropsychological tests were employed to assess multiple cognitive domains. Brain metabolism was determined from 18-fluoro-2-deoxy-D-glucose PET. Multivariate relations were tested with stepwise linear regression. Models included the potential confounders of age and education where appropriate.
RESULTS: The distribution of WMHI volume was bimodal, with five subjects having WMHI volumes beyond three SDs from the normally distributed population. A WMHI volume of greater than 0.5% of intracranial volume was considered abnormal. Within the multivariate models, WMHI volumes were significantly predictive of increased ventricular volume, reduced brain volume, and reduced cognitive scores. Subjects with greater than 0.5% WMHI volume also had significantly lower frontal lobe metabolism, significantly higher systolic blood pressure, significantly larger ventricular volume, and significantly lower scores on frontal lobe-mediated neuropsychological tests than age-matched controls.
CONCLUSION: WMHI volume is associated with structural and functional brain changes even within a group of very healthy individuals. WMHI is associated with poorer frontal lobe cognitive function and, when severe, is accompanied by significantly reduced frontal lobe metabolism. Subjects with large WMHI volumes have significantly higher systolic blood pressure, brain atrophy, reduced cerebral metabolism, and lower scores on tests of frontal lobe function than age-matched controls. Large amounts of WMHI are, therefore, pathologic and may be related to elevated systolic blood pressure even when it is within the normal age-related range.

Entities:  

Mesh:

Substances:

Year:  1995        PMID: 7501162     DOI: 10.1212/wnl.45.11.2077

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  179 in total

1.  White matter lesions on magnetic resonance imaging in dementia with Lewy bodies, Alzheimer's disease, vascular dementia, and normal aging.

Authors:  R Barber; P Scheltens; A Gholkar; C Ballard; I McKeith; P Ince; R Perry; J O'Brien
Journal:  J Neurol Neurosurg Psychiatry       Date:  1999-07       Impact factor: 10.154

2.  Long-term blood pressure fluctuation and cerebrovascular disease in an elderly cohort.

Authors:  Adam M Brickman; Christiane Reitz; José A Luchsinger; Jennifer J Manly; Nicole Schupf; Jordan Muraskin; Charles DeCarli; Truman R Brown; Richard Mayeux
Journal:  Arch Neurol       Date:  2010-05

3.  Differential effects of age and history of hypertension on regional brain volumes and iron.

Authors:  Karen M Rodrigue; E Mark Haacke; Naftali Raz
Journal:  Neuroimage       Date:  2010-10-20       Impact factor: 6.556

4.  Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment.

Authors:  C R Jack; R C Petersen; Y C Xu; P C O'Brien; G E Smith; R J Ivnik; B F Boeve; S C Waring; E G Tangalos; E Kokmen
Journal:  Neurology       Date:  1999-04-22       Impact factor: 9.910

5.  The relation of dietary choline to cognitive performance and white-matter hyperintensity in the Framingham Offspring Cohort.

Authors:  Coreyann Poly; Joseph M Massaro; Sudha Seshadri; Philip A Wolf; Eunyoung Cho; Elizabeth Krall; Paul F Jacques; Rhoda Au
Journal:  Am J Clin Nutr       Date:  2011-11-09       Impact factor: 7.045

6.  Cerebrovascular disease, β-amyloid, and cognition in aging.

Authors:  Natalie L Marchant; Bruce R Reed; Charles S DeCarli; Cindee M Madison; Michael W Weiner; Helena C Chui; William J Jagust
Journal:  Neurobiol Aging       Date:  2011-11-01       Impact factor: 4.673

Review 7.  Clinically asymptomatic vascular brain injury: a potent cause of cognitive impairment among older individuals.

Authors:  Charles DeCarli
Journal:  J Alzheimers Dis       Date:  2013       Impact factor: 4.472

8.  White matter hyperintensities mediate the association of nocturnal blood pressure with cognition.

Authors:  Anthony G Chesebro; Jesus D Melgarejo; Reinier Leendertz; Kay C Igwe; Patrick J Lao; Krystal K Laing; Batool Rizvi; Mariana Budge; Irene B Meier; Gustavo Calmon; Joseph H Lee; Gladys E Maestre; Adam M Brickman
Journal:  Neurology       Date:  2020-04-15       Impact factor: 9.910

9.  Anatomical mapping of white matter hyperintensities (WMH): exploring the relationships between periventricular WMH, deep WMH, and total WMH burden.

Authors:  Charles DeCarli; Evan Fletcher; Vincent Ramey; Danielle Harvey; William J Jagust
Journal:  Stroke       Date:  2004-12-02       Impact factor: 7.914

10.  Parental longevity is associated with cognition and brain ageing in middle-aged offspring.

Authors:  Joanne M Murabito; Alexa S Beiser; Charles Decarli; Sudha Seshadri; Philip A Wolf; Rhoda Au
Journal:  Age Ageing       Date:  2013-11-07       Impact factor: 10.668

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.