Use of machine learning to identify functional connectivity changes in a clinical cohort of patients at risk for dementia

ObjectiveProgressive conditions characterized by cognitive decline, including mild cognitive impairment (MCI) and subjective cognitive decline (SCD) are clinical conditions representing a major risk factor to develop dementia, however, the diagnosis of these pre-dementia conditions remains a challen...

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Автори:	Ying Shen, Qian Lu, Tianjiao Zhang, Hailang Yan, Negar Mansouri, Karol Osipowicz, Onur Tanglay, Isabella Young, Stephane Doyen, Xi Lu, Xia Zhang, Michael E. Sughrue, Tong Wang
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Frontiers Media S.A. 2022-09-01
Серія:	Frontiers in Aging Neuroscience
Предмети:	dementia functional connectivity Alzheimer’s disease graph theory brain network
Онлайн доступ:	https://www.frontiersin.org/articles/10.3389/fnagi.2022.962319/full
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Use of machine learning to identify functional connectivity changes in a clinical cohort of patients at risk for dementia

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