MRI Clinical Ratings and Cognitive Function in a Cross-Sectional Population Study of Dementia: The Cache County Memory Study
White matter integrity in aging populations is associated with increased risk of cognitive decline, dementia diagnosis, and mortality. Population-based data can elucidate this association.
To examine the association between white matter integrity, as measured by a clinical rating scale of hyperintensities, and mental status in older adults including advanced aging.
Scheltens Ratings Scale was used to qualitatively assess white matter (WM) hyperintensities in participants of the Cache County Memory Study (CCMS), an epidemiological study of Alzheimer’s disease in an exceptionally long-lived population. Further, the relation between Mini-Mental State Exam (MMSE) and WM hyperintensities were explored.
Participants consisted of 415 individuals with dementia and 22 healthy controls.
CCMS participants, including healthy controls, had high levels of WM pathology as measured by Scheltens Ratings Scale score. While age did not significantly relate to WM pathology, higher Scheltens Ratings Scale scores were associated with lower MMSE findings (correlation between -0.14 & -0.22; p <.05).
WM pathology was common in this countywide population sample of those ranging in age from 65 to 106. Increased WM burden was found to be significantly associated with decreased overall MMSE performance.
Key wordsScheltens Rating Scale Cache County aging clinical ratings white matter hyperintensity
- 2.Norton, M.C., et al., Telephone adaptation of the Modified Mini–Mental State Exam (3MS). The Cache County Study. Neuropsychiatry Neuropsychol Behav Neurol, 1999. 12(4): p. 270–6.Google Scholar
- 4.Bigler, E.D., et al., Dementia, quantitative neuroimaging, and apolipoprotein E genotype. AJNR Am J Neuroradiol, 2000. 21(10): p. 1857–68.Google Scholar
- 12.De Coene, B., et al., MR of the brain using fluid–attenuated inversion recovery (FLAIR) pulse sequences. AJNR Am J Neuroradiol, 1992. 13(6): p. 1555–64.Google Scholar
- 13.Tourbah, A., et al., Magnetic resonance imaging using FLAIR pulse sequence in white matter diseases. J Neuroradiol, 1996. 23(4): p. 217–22.Google Scholar
- 14.Paniagua Bravo, A., et al., A comparative MRI study for white matter hyperintensities detection: 2D–FLAIR, FSE PD 2D, 3D–FLAIR and FLAIR MIP. Br J Radiol, 2014. 87(1035): p. 20130360.Google Scholar
- 15.Sibbitt, W.L., Jr., et al., Fluid Attenuated Inversion Recovery (FLAIR) imaging in neuropsychiatric systemic lupus erythematosus. J Rheumatol, 2003. 30(9): p. 1983–9.Google Scholar
- 20.Clerici, F., et al., Does vascular burden contribute to the progression of mild cognitive impairment to dementia? Dement Geriatr Cogn Disord, 2012. 34(3–4): p. 235–43.Google Scholar
- 21.Smith, C.D., et al., Peripheral (deep) but not periventricular MRI white matter hyperintensities are increased in clinical vascular dementia compared to Alzheimer’s disease. Brain Behav, 2016. 6(3): p. e00438.Google Scholar
- 28.Bennett, I.J., et al., Age–related differences in multiple measures of white matter integrity: A diffusion tensor imaging study of healthy aging. Hum Brain Mapp, 2010. 31(3): p. 378–90.Google Scholar
- 29.Kerchner, G.A., et al., Cognitive processing speed in older adults: relationship with white matter integrity. PLoS One, 2012. 7(11): p. e50425.Google Scholar