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Cited by 94Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsCancer-related cognitive impairment studies

Temporoparietal MR Imaging Measures of Atrophy in Subjects with Mild Cognitive Impairment That Predict Subsequent Diagnosis of Alzheimer Disease

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Desikan, R.S., Cabral, H.J., Fischl, B., Guttmann, C.R.G., Blacker, D., Hyman, B.T., Albert, M.S., Killiany, R.J.·2009·American Journal of Neuroradiology
DOI 10.3174/ajnr.a1397PMC PMC2656417
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Abstract

BACKGROUND AND PURPOSE: Mild cognitive impairment (MCI) represents a transitional state between normal aging and Alzheimer disease (AD). Our goal was to determine if specific temporoparietal regions can predict the time to progress from MCI to AD. MATERIALS AND METHODS: MR images from 129 individuals with MCI were analyzed to identify the volume of 14 neocortical and 2 non-neocortical brain regions, comprising the temporal and parietal lobes. In addition, 3 neuropsychological test scores were included to determine whether they would provide independent information. After a mean follow-up time of 5 years, 44 of these individuals had progressed to a diagnosis of AD. RESULTS: Cox proportional hazards models demonstrated significant effects for 6 MR imaging regions with the greatest differences being the following: the entorhinal cortex (hazard ratio [HR] = 0.54, P < .001), inferior parietal lobule (hazard ratio [HR] = 0.64, P < .005), and middle temporal gyrus (HR = 0.64, P < .004), indicating decreased risk with larger volumes. A multivariable model showed that a combination of the entorhinal cortex (HR = 0.60, P < .001) and the inferior parietal lobule (HR = 0.62, P < .01) was the best predictor of time to progress to AD. A multivariable model reiterated the importance of including both MR imaging and neuropsychological variables in the final model. CONCLUSIONS: These findings reaffirm the importance of the entorhinal cortex and present evidence for the importance of the inferior parietal lobule as a predictor of time to progress from MCI to AD. The inclusion of neuropsychological performance in the final model continues to highlight the importance of using these measures in a complementary fashion.

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Cited by

Sorted by citations

Authors
Desikan, R. S., Cabral, H. J., Fischl, B., Guttmann, C. R. G., Blacker, D., Hyman, B. T., Albert, M. S., & Killiany, R. J.
Affiliations
Boston University (US)
ORCID
Venue
American Journal of Neuroradiology
Publisher
American Society of Neuroradiology (ASNR)
Published
2008-12-26
Volume
30
Issue
3
Pages
532-538
ISSN
  • 0195-6108 (ISSN-L)
  • 1936-959X
DOI
10.3174/ajnr.a1397
PMC
PMC2656417
OpenAlex
W1990587638
Cited by
94
References
3
Citations by year
2026: 2 · 2025: 4 · 2024: 4 · 2023: 3 · 2022: 3 · 2021: 9 · 2020: 4 · 2019: 4 · 2018: 3 · 2017: 2 · 2016: 7 · 2015: 7 · 2014: 4 · 2013: 8 · 2012: 4
FWCI
6.09
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • American Journal of Neuroradiology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institute on Aging (P01AG04953, P50AG005146, P01AG004953)
  • National Institute of Biomedical Imaging and Bioengineering (R01EB001550)
  • National Center for Research Resources (P41-RR-14075, RR 14075, U24RR021382, R01-RR16594, P41RR014075, R01RR016594)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
Keywords
mild cognitive impairment, Alzheimer's disease, entorhinal cortex, inferior parietal lobule, middle temporal gyrus, brain atrophy, brain volume, neuropsychological performance, disease progression prediction
MeSH terms
Aged, Alzheimer Disease, Atrophy, Cognition Disorders, Female, Follow-Up Studies, Humans, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Parietal Lobe, Predictive Value of Tests, Risk Factors, Severity of Illness Index, Temporal Lobe, Multivariate Analysis, Proportional Hazards Models, Entorhinal Cortex

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