Rudd Kaylee D, Lawler Katherine, Callisaya Michele L, Bindoff Aidan D, Chiranakorn-Costa Sigourney, Li Renjie, McDonald James S, Salmon Katharine, Noyce Alastair J, Vickers James C, Alty Jane
Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, Tasmania, Australia.
School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia.
Dement Geriatr Cogn Disord. 2025;54(1):10-20. doi: 10.1159/000540412. Epub 2024 Jul 29.
Motor dysfunction is an important feature of early-stage dementia. Gait provides a non-invasive biomarker across the dementia continuum. Gait speed and rhythm aid risk stratification of incident dementia in subjective cognitive impairment (SCI) and are associated with cognitive domains in mild cognitive impairment (MCI) and dementia. However, hand movement analysis, which may be more accessible, has never been undertaken in SCI and rarely in MCI or dementia. We aimed to address this gap and improve understanding of hand motor-cognitive associations across the dementia continuum.
A total of 208 participants were recruited: 50 with dementia, 58 MCI, 40 SCI, and 60 healthy controls. Consensus diagnoses were made after comprehensive gold-standard assessments. A computer key-tapping test measured frequency, dwell-time, rhythm, errors, and speed. Associations between key-tapping and cognitive domains and diagnoses were analysed using regression. Classification accuracy was measured using area under receiver operating characteristic curves.
Hand frequency and speed were associated with memory and executive domains (p ≤ 0.001). Non-dominant hand rhythm was associated with all cognitive domains. Frequency, rhythm, and speed were associated with SCI, MCI, and dementia. Frequency and speed classified ≥94% of dementia and ≥88% of MCI from controls. Rhythm of the non-dominant hand classified ≥86% of dementia and MCI and 69% of SCI.
Our findings show hand motor dysfunction occurs across the dementia continuum and, similar to gait, is associated with executive and memory domains and with cognitive diagnoses. Key-tapping performance differentiated dementia and MCI from healthy controls. More research is required before recommending key-tapping as a non-invasive motor biomarker of cognitive impairment.
运动功能障碍是早期痴呆症的一个重要特征。步态为整个痴呆症病程提供了一种非侵入性生物标志物。步态速度和节奏有助于对主观认知障碍(SCI)中痴呆症的发病风险进行分层,并且与轻度认知障碍(MCI)和痴呆症中的认知领域相关。然而,手部运动分析可能更容易进行,但从未在SCI中开展过,在MCI或痴呆症中也很少进行。我们旨在填补这一空白,并增进对整个痴呆症病程中手部运动与认知关联的理解。
共招募了208名参与者:50名患有痴呆症,58名患有MCI,40名患有SCI,以及60名健康对照者。经过全面的金标准评估后做出了共识诊断。通过计算机按键测试来测量频率、停留时间、节奏、错误次数和速度。使用回归分析来研究按键与认知领域及诊断之间的关联。使用受试者操作特征曲线下的面积来衡量分类准确性。
手部频率和速度与记忆和执行领域相关(p≤0.001)。非优势手的节奏与所有认知领域相关。频率、节奏和速度与SCI、MCI和痴呆症相关。频率和速度能够将≥94%的痴呆症患者和≥88%的MCI患者与对照组区分开来。非优势手的节奏能够将≥86%的痴呆症患者和MCI患者以及69%的SCI患者区分开来。
我们的研究结果表明,手部运动功能障碍在整个痴呆症病程中都会出现,并且与步态相似,与执行和记忆领域以及认知诊断相关。按键表现能够将痴呆症和MCI患者与健康对照者区分开来。在推荐将按键作为认知障碍的非侵入性运动生物标志物之前,还需要进行更多的研究。