Which motor-cognitive abilities underlie the digital Trail-Making Test? Decomposing various test scores to detect cognitive impairment in Parkinson's disease—Pilot study.
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| Title: | Which motor-cognitive abilities underlie the digital Trail-Making Test? Decomposing various test scores to detect cognitive impairment in Parkinson's disease—Pilot study. |
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| Authors: | Park, Soo-Yong (AUTHOR), Schott, Nadja (AUTHOR) |
| Source: | Applied Neuropsychology: Adult. Jan/Feb2025, Vol. 32 Issue 1, p60-74. 15p. |
| Subjects: | Executive function, Mild cognitive impairment, Parkinson's disease, Cognitive flexibility, Response inhibition |
| Abstract: | Since Parkinson's disease (PD) is a heterogeneous disorder with symptoms, such as tremors, gait and speech disturbances, or memory loss, individualized diagnostics are needed to optimize treatment. In their current form, the typical paper-pencil methods traditionally used to track disease progression are too coarse to capture the subtleties of clinical phenomena. For this reason, digital biomarkers that capture, for example, motor function, cognition, and behavior using apps, wearables, and tracking systems are becoming increasingly established. However, given the high prevalence of cognitive impairment in PD, digital cognitive biomarkers to predict mental progression are important in clinical practice. This pilot study aimed to identify those components of our digital version of the TMT (dTMT) that allow discrimination between PD patients with and without cognitive deficits. A total of 30 healthy control (age 66.3 ± 8.61) and 30 participants with PD (age 68.3 ± 9.66) performed the dTMT using a touch-sensitive tablet to capture enhanced performance metrics, such as the speed between and inside circles. The decomposition of cognitive abilities based on integrating additional variables in the dTMT revealed that the Parkinson's disease group was significantly more sensitive to parameters of inhibitory control. In contrast, the mild cognitive impairment group was sensitive to parameters of cognitive flexibility and working memory. The dTMT allows objective, ecologically valid, and long-term cognitive and fine-motor performance tracking, suggesting its potential as a digital biomarker in neurodegenerative disorders. [ABSTRACT FROM AUTHOR] |
| Copyright of Applied Neuropsychology: Adult is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 183940821 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Which motor-cognitive abilities underlie the digital Trail-Making Test? Decomposing various test scores to detect cognitive impairment in Parkinson's disease—Pilot study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Park%2C+Soo-Yong%22">Park, Soo-Yong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schott%2C+Nadja%22">Schott, Nadja</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Neuropsychology%3A+Adult%22">Applied Neuropsychology: Adult</searchLink>. Jan/Feb2025, Vol. 32 Issue 1, p60-74. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Executive+function%22">Executive function</searchLink><br /><searchLink fieldCode="DE" term="%22Mild+cognitive+impairment%22">Mild cognitive impairment</searchLink><br /><searchLink fieldCode="DE" term="%22Parkinson's+disease%22">Parkinson's disease</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+flexibility%22">Cognitive flexibility</searchLink><br /><searchLink fieldCode="DE" term="%22Response+inhibition%22">Response inhibition</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Since Parkinson's disease (PD) is a heterogeneous disorder with symptoms, such as tremors, gait and speech disturbances, or memory loss, individualized diagnostics are needed to optimize treatment. In their current form, the typical paper-pencil methods traditionally used to track disease progression are too coarse to capture the subtleties of clinical phenomena. For this reason, digital biomarkers that capture, for example, motor function, cognition, and behavior using apps, wearables, and tracking systems are becoming increasingly established. However, given the high prevalence of cognitive impairment in PD, digital cognitive biomarkers to predict mental progression are important in clinical practice. This pilot study aimed to identify those components of our digital version of the TMT (dTMT) that allow discrimination between PD patients with and without cognitive deficits. A total of 30 healthy control (age 66.3 ± 8.61) and 30 participants with PD (age 68.3 ± 9.66) performed the dTMT using a touch-sensitive tablet to capture enhanced performance metrics, such as the speed between and inside circles. The decomposition of cognitive abilities based on integrating additional variables in the dTMT revealed that the Parkinson's disease group was significantly more sensitive to parameters of inhibitory control. In contrast, the mild cognitive impairment group was sensitive to parameters of cognitive flexibility and working memory. The dTMT allows objective, ecologically valid, and long-term cognitive and fine-motor performance tracking, suggesting its potential as a digital biomarker in neurodegenerative disorders. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Applied Neuropsychology: Adult is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=183940821 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/23279095.2022.2147837 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 60 Subjects: – SubjectFull: Executive function Type: general – SubjectFull: Mild cognitive impairment Type: general – SubjectFull: Parkinson's disease Type: general – SubjectFull: Cognitive flexibility Type: general – SubjectFull: Response inhibition Type: general Titles: – TitleFull: Which motor-cognitive abilities underlie the digital Trail-Making Test? Decomposing various test scores to detect cognitive impairment in Parkinson's disease—Pilot study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Park, Soo-Yong – PersonEntity: Name: NameFull: Schott, Nadja IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan/Feb2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 23279095 Numbering: – Type: volume Value: 32 – Type: issue Value: 1 Titles: – TitleFull: Applied Neuropsychology: Adult Type: main |
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