ORIGINAL RESEARCH article
Front. Neurol.
Sec. Movement Disorders
AI-Based Retrospective Analysis: Differential Improvement Profiles of Medication and Deep Brain Stimulation in Parkinson's Disease
Lu Su 1,2,3
Aiwen Li 3,1,2
Zhanxu Li 3,1,2
Yilin Liu 4
Geng Chen 5
Bo Shen 1,2,3
Jian Wang 1,2,3
Jianjun Wu 1,2,3
1. Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, ShangHai, China
2. State Key Laboratory of Brain Function and Disorders, ShangHai, China
3. Huashan Hospital Fudan University, Shanghai, China
4. NERVTEX Co.,Ltd, ShangHai, China
5. NERVTEX Co.,Ltd, WuHan, China
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Abstract
Bradykinesia in Parkinson's disease (PD) involves reduced movement speed, amplitude, and rhythmicity. While the MDS-UPDRS Part III is the standard clinical tool for motor assessment, it has limited sensitivity to specific kinematic features. Levodopa and subthalamic nucleus deep brain stimulation (STN-DBS) are common treatments for PD, yet their differential effects across motor domains are not fully characterized. This retrospective study assessed fifty-three patients with Parkinson's disease undergoing STN-DBS. Motor performance was video-recorded during Levodopa-off and Levodopa-on states (levodopa challenge test performed prior to surgery), as well as after DBS activation (OFFMED/OFFSTIM, OFFMED/ONSTIM, ONMED/ONSTIM). Both clinical assessments and subsequent video-based analyses focused on the MDS-Unified Parkinson's Disease Rating Scale (MDS-UPDRS), Part III, specifically evaluating items 3.4 Finger Tapping, 3.5 Fist-clenching test, 3.7 Toe Tapping, and 3.8 Leg Agility. Motor function was first evaluated using conventional UPDRS-III item scores rated by two experienced specialists, with the primary clinical comparison defined between the levodopa-on and OFFMED/ONSTIM states, to explore the differential therapeutic emphases of medication and DBS. Subsequently, AI-based video analysis was applied to quantify kinematic parameters, including amplitude, frequency, and coefficients of variation, using AI algorithms (NERVTEX Co. Ltd.). Comparisons were made for levodopa effects (Levodopa-off vs. Levodopa-on), DBS effects (OFFMED/OFFSTIM vs. OFFMED/ONSTIM), and therapy-specific differences (Levodopa-on vs. OFFMED/ONSTIM). Conventional UPDRS-III item scores suggested that levodopa was more effective than DBS in improving upper-limb tasks (items 3.4 Finger Tapping and 3.5 Fist-clenching test), while lower-limb tasks (items 3.7 Toe Tapping and 3.8 Leg Agility) showed no significant changes. In contrast, AI-based kinematic analysis revealed more differentiated treatment effects. Levodopa was associated with improvements in movement speed, amplitude, and stability in the upper limbs, as well as a significant impact on lower-limb amplitude, both in toe tapping (item 3.7) and leg agility (item 3.8). DBS, by comparison, enhanced upper-limb motor output but had limited effects on the lower limbs, with improvements in speed and amplitude observed only in the toe tapping (item 3.7) task. Additionally, levodopa demonstrated superior improvements in lower-limb amplitude, both in toe tapping (item 3.7) and leg agility (item 3.8), compared to DBS.
Summary
Keywords
artificial intelligence, Deep Brain Stimulation, Levodopa, Multidimensional assessment, Parkinson's disease
Received
01 December 2025
Accepted
09 February 2026
Copyright
© 2026 Su, Li, Li, Liu, Chen, Shen, Wang and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Bo Shen; Jian Wang; Jianjun Wu
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