数字生成的路径制作测试数据:使用隐马尔可夫模型进行分析。

IF 1.1 Q3 HOSPITALITY, LEISURE, SPORT & TOURISM Cultura Ciencia y Deporte Pub Date : 2022-03-08 eCollection Date: 2022-01-01 DOI:10.1002/dad2.12292
Mengtian Du, Stacy L Andersen, Stephanie Cosentino, Robert M Boudreau, Thomas T Perls, Paola Sebastiani
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引用次数: 0

摘要

寻路测验(TMT)是一种用于评估认知功能障碍的神经心理学测验。TMT 由两部分组成:TMT-A 要求将数字 1 至 25 依次连接起来;TMT-B 要求将数字 1 至 12 和字母 A 至 L 依次连接起来,数字和字母交替使用。我们建议使用数字记录版本的 TMT 来捕捉测试成绩背后的认知或物理功能。我们对数字版 TMT-A 和 -B 进行了分析,得出了时间指标,并使用贝叶斯隐马尔可夫模型提取了其他指标。我们使用回归法将这些衍生指标与认知和身体功能得分相关联。在 TMT-A 和 -B 中,数字指标与图形运动处理测试得分和步速相关。TMT-B 上的数字指标还与外显记忆测试得分和握力有关。这些指标提供了认知状态的额外信息,可以区分影响测试成绩的认知因素和身体因素。
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Digitally generated Trail Making Test data: Analysis using hidden Markov modeling.

The Trail Making Test (TMT) is a neuropsychological test used to assess cognitive dysfunction. The TMT consists of two parts: TMT-A requires connecting numbers 1 to 25 sequentially; TMT-B requires connecting numbers 1 to 12 and letters A to L sequentially, alternating between numbers and letters. We propose using a digitally recorded version of TMT to capture cognitive or physical functions underlying test performance. We analyzed digital versions of TMT-A and -B to derive time metrics and used Bayesian hidden Markov models to extract additional metrics. We correlated these derived metrics with cognitive and physical function scores using regression. On both TMT-A and -B, digital metrics associated with graphomotor processing test scores and gait speed. Digital metrics on TMT-B were additionally associated with episodic memory test scores and grip strength. These metrics provide additional information of cognitive state and can differentiate cognitive and physical factors affecting test performance.

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来源期刊
Cultura Ciencia y Deporte
Cultura Ciencia y Deporte HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
1.80
自引率
11.10%
发文量
44
审稿时长
48 weeks
期刊介绍: Cultura_Ciencia_Deporte (CCD) will consider research studies related to the different areas of Physical Activity and Sport Sciences for publication, that are scientifically based. Given the specialized nature of the journal, have no place in it simple popular articles, or those limited to exposing opinions and not conclusions based on investigation. Papers should be sent electronically through our website: http://ccd.ucam.edu, where the author must register as an author and proceed as indicated by the tool.
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