干旱区生态环境知识资源中心(Arid): Distributed functional connectivity predicts neuropsychological test performance among older adults

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DOI	10.1002/hbm.25436
	Distributed functional connectivity predicts neuropsychological test performance among older adults
	Kwak, Seyul; Kim, Hairin; Kim, Hoyoung; Youm, Yoosik; Chey, Jeanyung
通讯作者	Chey, J (corresponding author), Seoul Natl Univ, Dept Psychol, Gwanak Ro 1, Seoul, South Korea.
来源期刊	HUMAN BRAIN MAPPING
ISSN	1065-9471
EISSN	1097-0193
出版年	2021
卷号	42 期号:10 页码:3305-3325
英文摘要	Neuropsychological test is an essential tool in assessing cognitive and functional changes associated with late-life neurocognitive disorders. Despite the utility of the neuropsychological test, the brain-wide neural basis of the test performance remains unclear. Using the predictive modeling approach, we aimed to identify the optimal combination of functional connectivities that predicts neuropsychological test scores of novel individuals. Resting-state functional connectivity and neuropsychological tests included in the OASIS-3 dataset (n = 428) were used to train the predictive models, and the identified models were iteratively applied to the holdout internal test set (n = 216) and external test set (KSHAP, n = 151). We found that the connectivity-based predicted score tracked the actual behavioral test scores (r = 0.08-0.44). The predictive models utilizing most of the connectivity features showed better accuracy than those composed of focal connectivity features, suggesting that its neural basis is largely distributed across multiple brain systems. The discriminant and clinical validity of the predictive models were further assessed. Our results suggest that late-life neuropsychological test performance can be formally characterized with distributed connectome-based predictive models, and further translational evidence is needed when developing theoretically valid and clinically incremental predictive models.
英文关键词	brain connectomics cognitive aging dementia machine learning neuropsychological test predictive modeling
类型	Article
语种	英语
开放获取类型	Green Published, Other Gold
收录类别	SCI-E
WOS记录号	WOS:000647860200001
WOS关键词	WHITE-MATTER HYPERINTENSITIES ; PRECLINICAL ALZHEIMERS-DISEASE ; AGE-DIFFERENCES ; BRAIN NETWORKS ; COGNITION ; DEMENTIA ; BIOMARKERS ; MRI ; ASSOCIATION ; ATTENTION
WOS类目	Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS研究方向	Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350483
作者单位	[Kwak, Seyul; Kim, Hairin; Chey, Jeanyung] Seoul Natl Univ, Dept Psychol, Gwanak Ro 1, Seoul, South Korea; [Kim, Hoyoung] Chonbuk Natl Univ, Dept Psychol, Jeonju, South Korea; [Youm, Yoosik] Yonsei Univ, Dept Sociol, Seoul, South Korea
推荐引用方式 GB/T 7714	Kwak, Seyul,Kim, Hairin,Kim, Hoyoung,et al. Distributed functional connectivity predicts neuropsychological test performance among older adults[J],2021,42(10):3305-3325.
APA	Kwak, Seyul,Kim, Hairin,Kim, Hoyoung,Youm, Yoosik,&Chey, Jeanyung.(2021).Distributed functional connectivity predicts neuropsychological test performance among older adults.HUMAN BRAIN MAPPING,42(10),3305-3325.
MLA	Kwak, Seyul,et al."Distributed functional connectivity predicts neuropsychological test performance among older adults".HUMAN BRAIN MAPPING 42.10(2021):3305-3325.