ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2018
Global Cerebral Atrophy Detected by Routine Imaging: Relationship with Age, Hippocampal Atrophy, and White Matter Hyperintensities.
Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 16 citations in OpenAlex.
- Determinants of Brain Atrophy in People Living with HIV: The Role of Lifestyle, Demographics, and Comorbidities.Journal of clinical medicine · 2025Article
- Impact of the Ventricle Size on Alzheimer's Disease Progression: A Retrospective Longitudinal Study.Dementia and neurocognitive disorders · 2024Article
- Leukoaraiosis and Gray Matter Volume Alteration in Older Adults: The PROOF Study.Frontiers in neuroscience · 2021Article
- COVID-19 cognitive deficits after respiratory assistance in the subacute phase: A COVID-rehabilitation unit experience.PloS one · 2021Article
- Retinal sublayer defect is independently associated with the severity of hypertensive white matter hyperintensity.Brain and behavior · 2020Article
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
Abstract
background and purposeInterpreting the clinical significance of moderate-to-severe global cerebral atrophy (GCA) is a conundrum for many clinicians, who visually interpret brain imaging studies in routine clinical practice. GCA may be attributed to normal aging, Alzheimer's disease (AD), or cerebrovascular disease (CVD). Understanding the relationships of GCA with aging, AD, and CVD is important for accurate diagnosis and treatment decisions for cognitive complaints.
methodsTo elucidate the relative associations of age, moderate-to-severe white matter hyperintensities (WMHs), and moderate-to-severe medial temporal lobe atrophy (MTA), with moderate-to-severe GCA, we visually rated clinical brain imaging studies of 325 participants from a community based sample. Logistic regression analysis was conducted to assess the relations of GCA with age, WMH, and MTA.
resultsThe mean age was 76.2 (±9.6) years, 40.6% were male, and the mean educational attainment was 15.1 (±3.7) years. Logistic regression results demonstrated that while a 1-year increase in age was associated with GCA (OR = 1.04; P = .04), MTA (OR = 3.7; P < .001), and WMH (OR = 8.80; P < .001) were strongly associated with GCA in our study population. Partial correlation analysis showed that the variance of GCA explained by age is less than the variance attributed to MTA and WMH (r = .13, .21, and .43, respectively).
conclusionsModerate-to-severe GCA is most likely to occur in the presence of AD or CVD and should not be solely attributed to age when evaluating clinical imaging findings in the workup of cognitive complaints. Developing optimal diagnostic and treatment strategies for cognitive decline in the setting of GCA requires an understanding of its risk factors in the aging population.
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