Literature DB >> 34308821

Multiple Cognitive and Behavioral Factors Link Association Between Brain Structure and Functional Impairment of Daily Instrumental Activities in Older Adults.

Seyul Kwak1, Su Mi Park1,2, Yeong-Ju Jeon1, Hyunwoong Ko1,3, Dae Jong Oh1, Jun-Young Lee1.   

Abstract

OBJECTIVE: Functional impairment in daily activity is a cornerstone in distinguishing the clinical progression of dementia. Multiple indicators based on neuroimaging and neuropsychological instruments are used to assess the levels of impairment and disease severity; however, it remains unclear how multivariate patterns of predictors uniquely predict the functional ability and how the relative importance of various predictors differs.
METHOD: In this study, 881 older adults with subjective cognitive complaints, mild cognitive impairment (MCI), and dementia with Alzheimer's type completed brain structural magnetic resonance imaging (MRI), neuropsychological assessment, and a survey of instrumental activities of daily living (IADL). We utilized the partial least square (PLS) method to identify latent components that are predictive of IADL.
RESULTS: The result showed distinct brain components (gray matter density of cerebellar, medial temporal, subcortical, limbic, and default network regions) and cognitive-behavioral components (general cognitive abilities, processing speed, and executive function, episodic memory, and neuropsychiatric symptoms) were predictive of IADL. Subsequent path analysis showed that the effect of brain structural components on IADL was largely mediated by cognitive and behavioral components. When comparing hierarchical regression models, the brain structural measures minimally added the explanatory power of cognitive and behavioral measures on IADL.
CONCLUSION: Our finding suggests that cerebellar structure and orbitofrontal cortex, alongside with medial temporal lobe, play an important role in the maintenance of functional status in older adults with or without dementia. Moreover, the significance of brain structural volume affects real-life functional activities via disruptions in multiple cognitive and behavioral functions.

Entities:  

Keywords:  Dementia; Functional impairment; Gray matter volume; IADL; Neuropsychological test

Mesh:

Year:  2021        PMID: 34308821     DOI: 10.1017/S1355617721000916

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   3.114


  1 in total

1.  Utility of Machine Learning Approach with Neuropsychological Tests in Predicting Functional Impairment of Alzheimer's Disease.

Authors:  Seyul Kwak; Dae Jong Oh; Yeong-Ju Jeon; Da Young Oh; Su Mi Park; Hairin Kim; Jun-Young Lee
Journal:  J Alzheimers Dis       Date:  2022       Impact factor: 4.472

  1 in total

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