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Horvath AA, Berente DB, Vertes B, Farkas D, Csukly G, Werber T, Zsuffa JA, Kiss M, Kamondi A. Differentiation of patients with mild cognitive impairment and healthy controls based on computer assisted hand movement analysis: a proof-of-concept study. Sci Rep 2022; 12:19128. [PMID: 36352038 PMCID: PMC9646851 DOI: 10.1038/s41598-022-21445-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Accepted: 09/27/2022] [Indexed: 11/10/2022] Open
Abstract
Mild cognitive impairment (MCI) is the prodromal phase of dementia, and it is highly underdiagnosed in the community. We aimed to develop an automated, rapid (< 5 min), electronic screening tool for the recognition of MCI based on hand movement analysis. Sixty-eight individuals participated in our study, 46 healthy controls and 22 patients with clinically defined MCI. All participants underwent a detailed medical assessment including neuropsychology and brain MRI. Significant differences were found between controls and MCI groups in mouse movement characteristics. Patients showed higher level of entropy for both the left (F = 5.24; p = 0.001) and the right hand (F = 8.46; p < 0.001). Longer time was required in MCI to perform the fine motor task (p < 0.005). Furthermore, we also found significant correlations between mouse movement parameters and neuropsychological test scores. Correlation was the strongest between motor parameters and Clinical Dementia Rating scale (CDR) score (average r: - 0.36, all p's < 0.001). Importantly, motor parameters were not influenced by age, gender, or anxiety effect (all p's > 0.05). Our study draws attention to the utility of hand movement analysis, especially to the estimation of entropy in the early recognition of MCI. It also suggests that our system might provide a promising tool for the cognitive screening of large populations.
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Affiliation(s)
- Andras Attila Horvath
- grid.11804.3c0000 0001 0942 9821Department of Anatomy Histology and Embryology, Semmelweis University, Budapest, Hungary ,Neurocognitive Research Center, National Institute of Mental Health, Neurology and Neurosurgery, 57 Amerikai út, 1145 Budapest, Hungary
| | - Dalida Borbala Berente
- Neurocognitive Research Center, National Institute of Mental Health, Neurology and Neurosurgery, 57 Amerikai út, 1145 Budapest, Hungary ,grid.11804.3c0000 0001 0942 9821School of PhD Studies, Semmelweis University, Budapest, Hungary
| | | | - David Farkas
- Precognize Ltd, Budapest, Hungary ,grid.445689.20000 0004 0636 9626Moholy-Nagy University of Art and Design, Budapest, Hungary
| | - Gabor Csukly
- Neurocognitive Research Center, National Institute of Mental Health, Neurology and Neurosurgery, 57 Amerikai út, 1145 Budapest, Hungary ,grid.11804.3c0000 0001 0942 9821Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Tom Werber
- Neurocognitive Research Center, National Institute of Mental Health, Neurology and Neurosurgery, 57 Amerikai út, 1145 Budapest, Hungary
| | - Janos Andras Zsuffa
- Neurocognitive Research Center, National Institute of Mental Health, Neurology and Neurosurgery, 57 Amerikai út, 1145 Budapest, Hungary ,grid.11804.3c0000 0001 0942 9821Department of Family Medicine, Semmelweis University, Budapest, Hungary
| | - Mate Kiss
- Siemens Healthcare, Budapest, Hungary
| | - Anita Kamondi
- Neurocognitive Research Center, National Institute of Mental Health, Neurology and Neurosurgery, 57 Amerikai út, 1145 Budapest, Hungary ,grid.11804.3c0000 0001 0942 9821Department of Neurology, Semmelweis University, Budapest, Hungary
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