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Copyright ©The Author(s) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Psychiatry. Jan 19, 2026; 16(1): 112073
Published online Jan 19, 2026. doi: 10.5498/wjp.v16.i1.112073
Unlocking the silent signals: Motor kinematics as a new frontier in early detection of mild cognitive impairment
Takahiko Nagamine
Takahiko Nagamine, Psychiatric Internal Medicine, Sunlight Brain Research Center, Hofu 7470066, Yamaguchi, Japan
Author contributions: All aspects of this work were carried out by the sole author.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Takahiko Nagamine, MD, PhD, Professor, Psychiatric Internal Medicine, Sunlight Brain Research Center, 4-13-18 Jiyugaoka, Hofu 7470066, Yamaguchi, Japan. anagamine@yahoo.co.jp
Received: July 17, 2025
Revised: September 5, 2025
Accepted: November 12, 2025
Published online: January 19, 2026
Processing time: 167 Days and 15.5 Hours
Core Tip

Core Tip: This study proposes a paradigm shift in mild cognitive impairment screening, moving from subjective cognitive tests to objective, quantifiable measures of gait and handwriting kinematics. This novel approach uses readily observable behaviors and non-invasive technology (like digital pens) to circumvent barriers of traditional neuropsychological assessments, such as language dependency and cultural bias. By measuring motor kinematics, which capture the real-world effect of cognitive-motor changes, the method offers ecological validity and reflects functional status, distinguishing it from biomarkers focused only on pathology. The integration of gross and fine motor abilities provides a scalable and accessible foundation for early, proactive mild cognitive impairment detection, paving the way for better intervention.