The latent factor structure underlying regional brain volume change and its relation to cognitive change in older adults
| العنوان: | The latent factor structure underlying regional brain volume change and its relation to cognitive change in older adults |
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| المؤلفون: | Brandon E. Gavett, Evan Fletcher, Keith F. Widaman, Charles DeCarli, Sarah E Tomaszewski Farias, Dan M Mungas |
| المصدر: | Neuropsychology, vol 35, iss 6 Neuropsychology |
| بيانات النشر: | American Psychological Association (APA), 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Aging, factor analysis, Latent variable, Neurodegenerative, Article, Cognition, Atrophy, Clinical Research, Acquired Cognitive Impairment, medicine, Humans, magnetic resonance imaging, longitudinal studies, Psychology, Cognitive Dysfunction, Gray Matter, Cognitive decline, skin and connective tissue diseases, Latent variable model, Association (psychology), Aged, medicine.diagnostic_test, cognitive aging, Neurosciences, Brain, Neurodegenerative Diseases, Experimental Psychology, Magnetic resonance imaging, medicine.disease, Magnetic Resonance Imaging, Brain Disorders, Neuropsychology and Physiological Psychology, Neurological, Brain size, Biomedical Imaging, brain mapping, Dementia, Mental health, Cognitive Sciences, sense organs, Neuroscience |
| الوصف: | OBJECTIVE Late-life changes in cognition and brain integrity are both highly multivariate, time-dependent processes that are essential for understanding cognitive aging and neurodegenerative disease outcomes. The present study seeks to identify a latent variable model capable of efficiently reducing a multitude of structural brain change magnetic resonance imaging (MRI) measurements into a smaller number of dimensions. We further seek to demonstrate the validity of this model by evaluating its ability to reproduce patterns of coordinated brain volume change and to explain the rate of cognitive decline over time. METHOD We used longitudinal cognitive data and structural MRI scans, obtained from a diverse sample of 358 participants (Mage = 74.81, SD = 7.17), to implement latent variable models for measuring brain change and to estimate the effects of these brain change factors on cognitive decline. RESULTS Results supported a bifactor model for brain change with four group factors (prefrontal, temporolimbic, medial temporal, and posterior association) and one general change factor (global atrophy). Atrophy in the global (β = 0.434, SE = 0.070), temporolimbic (β = 0.275, SE = 0.085), and medial temporal (β = 0.240, SE = 0.085) factors were the strongest predictors of global cognitive decline. Overall, the brain change model explained 59% of the variance in global cognitive slope. CONCLUSIONS The current results suggest that brain change across 27 bilateral regions of interest can be grouped into five change factors, three of which (global gray matter, temporolimbic, and medial temporal lobe atrophy) are strongly associated with cognitive decline. (PsycInfo Database Record (c) 2021 APA, all rights reserved). |
| وصف الملف: | application/pdf |
| تدمد: | 1931-1559 0894-4105 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14fb8e7a4a8c9b737372866377421f22 https://doi.org/10.1037/neu0000761 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....14fb8e7a4a8c9b737372866377421f22 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19311559 08944105 |
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