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ORIGINAL RESEARCH article

Front. Neurosci.
Sec. Decision Neuroscience
Volume 18 - 2024 | doi: 10.3389/fnins.2024.1495975
This article is part of the Research Topic Exploration of Decision Neuroscience Research in the Digital Era View all 3 articles

A study on the exploration of mild cognitive impairment in Parkinson's disease based on decision-making cognitive computing

Provisionally accepted
Shouqiang Huang Shouqiang Huang 1Kai Li Kai Li 2*Chen Wang Chen Wang 1Jiakang Liu Jiakang Liu 1Shuwu Li Shuwu Li 1*Yuting Tu Yuting Tu 1Bo Wang Bo Wang 1Huangqin Feng Huangqin Feng 1Qin Yu Qin Yu 2*Tong Chen Tong Chen 3*Ting Zhang Ting Zhang 1*Hongzhou Lin Hongzhou Lin 1*Yuzhe Xu Yuzhe Xu 2*Jinghang Wu Jinghang Wu 2
  • 1 Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China
  • 2 Hangzhou Medical College, Hangzhou, China
  • 3 Department of Neurology, Chinese PLA General Hospital, Beijing, Beijing Municipality, China

The final, formatted version of the article will be published soon.

    Mild cognitive impairment in Parkinson's disease (PD-MCI) as an independent risk factor for dementia in Parkinson's disease has prognostic value in predicting dementia in PD patients. It was found that the calculation of cognitive function decision-making could better evaluate the cognitive function of PD-MCI. Therefore, this study explored deficits in decision-making cognitive function in PD-MCI population, and mined novel digital biomarkers for recognizing early cognitive decline in PD-MCI through an independently designed maze decision-making digital assessment paradigm. This study included 30 healthy controls 37 PD with normal cognition (PD-NC) and 40 PD-MCI patients. Through difference comparison and stepwise regression analysis, two digital decision-making biomarkers, total decision time and performance average acceleration, were screened, and their joint area under curve for the ability to discriminate between PD-MCI and PD-NC was 0.909, and for the ability to discriminate between PD-MCI and NC was 0.942. In addition, it was found that maze digital decision-making biomarkers had greater early warning efficacy in men than in women. Unlike traditional methods, this study used digital dynamic assessment to reveal possible decision-making cognitive deficits in the PD-MCI populations, which provides new ideas for effective screening for PD-MCI.

    Keywords: exploration, Parkinson's disease, Mild Cognitive Impairment, decision-making, digital biomarkers

    Received: 13 Sep 2024; Accepted: 12 Dec 2024.

    Copyright: © 2024 Huang, Li, Wang, Liu, Li, Tu, Wang, Feng, Yu, Chen, Zhang, Lin, Xu and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Kai Li, Hangzhou Medical College, Hangzhou, China
    Shuwu Li, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang Province, China
    Qin Yu, Hangzhou Medical College, Hangzhou, China
    Tong Chen, Department of Neurology, Chinese PLA General Hospital, Beijing, Beijing Municipality, China
    Ting Zhang, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang Province, China
    Hongzhou Lin, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang Province, China
    Yuzhe Xu, Hangzhou Medical College, Hangzhou, China

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