A study on the exploration of mild cognitive impairment in Parkinson’s disease based on decision-making cognitive computing
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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2024.1495975/full |
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| author | Shouqiang Huang Kai Li Kai Li Chen Wang Jiakang Liu Shuwu Li Yuting Tu Bo Wang Huangqin Feng Qin Yu Hongzhou Lin Yuzhe Xu Jinghang Wu Ting Zhang Tong Chen |
| author_facet | Shouqiang Huang Kai Li Kai Li Chen Wang Jiakang Liu Shuwu Li Yuting Tu Bo Wang Huangqin Feng Qin Yu Hongzhou Lin Yuzhe Xu Jinghang Wu Ting Zhang Tong Chen |
| author_sort | Shouqiang Huang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-251e6ff76d394b13af30c66c2a59c6c8 |
| institution | Kabale University |
| issn | 1662-453X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj-art-251e6ff76d394b13af30c66c2a59c6c82025-01-07T06:44:08ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2025-01-011810.3389/fnins.2024.14959751495975A study on the exploration of mild cognitive impairment in Parkinson’s disease based on decision-making cognitive computingShouqiang Huang0Kai Li1Kai Li2Chen Wang3Jiakang Liu4Shuwu Li5Yuting Tu6Bo Wang7Huangqin Feng8Qin Yu9Hongzhou Lin10Yuzhe Xu11Jinghang Wu12Ting Zhang13Tong Chen14School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, ChinaSchool of Information Engineering, Hangzhou Medical College, Hangzhou, ChinaZhejiang Engineering Research Center for Brain Cognition and Brain Diseases Digital Medical Instruments, Hangzhou Medical College, Hangzhou, ChinaSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, ChinaSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, ChinaSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, ChinaSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, ChinaSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, ChinaSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, ChinaSchool of Information Engineering, Hangzhou Medical College, Hangzhou, ChinaSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, ChinaSchool of Information Engineering, Hangzhou Medical College, Hangzhou, ChinaSchool of Information Engineering, Hangzhou Medical College, Hangzhou, ChinaSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, ChinaDepartment of Neurology, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, ChinaMild 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.https://www.frontiersin.org/articles/10.3389/fnins.2024.1495975/fullexplorationParkinson’s diseasemild cognitive impairmentdecision-makingdigital biomarkers |
| spellingShingle | Shouqiang Huang Kai Li Kai Li Chen Wang Jiakang Liu Shuwu Li Yuting Tu Bo Wang Huangqin Feng Qin Yu Hongzhou Lin Yuzhe Xu Jinghang Wu Ting Zhang Tong Chen A study on the exploration of mild cognitive impairment in Parkinson’s disease based on decision-making cognitive computing Frontiers in Neuroscience exploration Parkinson’s disease mild cognitive impairment decision-making digital biomarkers |
| title | A study on the exploration of mild cognitive impairment in Parkinson’s disease based on decision-making cognitive computing |
| title_full | A study on the exploration of mild cognitive impairment in Parkinson’s disease based on decision-making cognitive computing |
| title_fullStr | A study on the exploration of mild cognitive impairment in Parkinson’s disease based on decision-making cognitive computing |
| title_full_unstemmed | A study on the exploration of mild cognitive impairment in Parkinson’s disease based on decision-making cognitive computing |
| title_short | A study on the exploration of mild cognitive impairment in Parkinson’s disease based on decision-making cognitive computing |
| title_sort | study on the exploration of mild cognitive impairment in parkinson s disease based on decision making cognitive computing |
| topic | exploration Parkinson’s disease mild cognitive impairment decision-making digital biomarkers |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2024.1495975/full |
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