Evidence map›Paper›PMID 42046417›Full record

Trial reportCNS neuroscience & therapeutics2026

High-Intensity Alternating Current Stimulation as an Add-On to Multidisciplinary Intensive Rehabilitation for Parkinson's Disease: A Randomized Controlled Trial.

Ting-Ting Hou, Hong-Yu Zhang, Ke-Ke Chen, Zhao-Hui Jin, Tian Zhang, Lin Qi, Cui-Ping Xue, Qiao-Xia Zhen, Zhen-Zhen Li, Hong-Jiao Yan and 9 more

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in CNS neuroscience & therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Trial
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Ting-Ting HouBeijing Rehabilitation Medicine Academy, Capital Medical University, Beijing, China.
Hong-Yu ZhangBeijing Rehabilitation Medicine Academy, Capital Medical University, Beijing, China.ORCID https://orcid.org/0009-0006-6503-9442
Ke-Ke ChenParkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Zhao-Hui JinParkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Tian ZhangBeijing Rehabilitation Medicine Academy, Capital Medical University, Beijing, China.
Lin QiParkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Cui-Ping XueParkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Qiao-Xia ZhenParkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0009-0003-5805-0879
Zhen-Zhen LiParkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Hong-Jiao YanParkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Yi ZhenParkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Xia AnParkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Jia DuBeijing Rehabilitation Medicine Academy, Capital Medical University, Beijing, China.
Yuan SuParkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Cui LiuParkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-5318-1795
Qi-Ping WenDepartment of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Xiao-Yan YanPeking University Clinical Research Institute, Peking University First Hospital, Beijing, China.
Bastiaan R BloemDepartment of Neurology, Center of Expertise for Parkinson & Movement Disorders, Radboud University Medical Centre; Donders Institute for Brain, Cognition and Behaviour, Nijmegen, HB, the Netherlands.
Bo-Yan FangParkinson Medical Center, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.

Funding

Beijing Shijingshan District Medical Key Discipline Research Program 2023002National Key Research and Development Program of China 2022YFC3602603
6 · The paper itself

Abstract

aimsIn this randomized, double-blind, sham-controlled trial, we explored whether high-intensity transcranial alternating current stimulation (Hi-tACS), as an add-on to multidisciplinary intensive rehabilitation therapy (MIRT), could yield more durable quality of life (QoL) improvements than MIRT alone.

methodsSixty patients with Parkinson's disease (PwP) (Hoehn and Yahr stages 1-3, aged 45-70) were assigned (1:1) to receive 10 days of MIRT with either twice-daily Hi-tACS (15 mA, 77.5 Hz, 40 min/session) or sham stimulation. The primary outcome was the longitudinal change in the 39-item Parkinson's Disease Questionnaire (PDQ-39) total score from baseline to 4, 12, and 24 weeks after intervention. Secondary outcomes included changes in motor and non-motor symptom scales. Adverse events were monitored throughout the intervention period.

resultsGeneralized estimating equation analysis revealed a significant group-by-time interaction for PDQ-39 total scores (P

conclusionsThis trial demonstrated that the Hi-tACS add-on to MIRT could maintain long-term improvements in QoL and improve non-motor symptoms for PwP, providing a new strategy for PwP rehabilitation.

Indexed as

Parkinson DiseaseTranscranial Direct Current StimulationAgedCombined Modality TherapyDouble-Blind MethodFemaleHumansMaleMiddle AgedQuality of LifeTreatment Outcomemultidisciplinary intensive rehabilitation therapyparkinson's diseasequality of lifetranscranial alternating current stimulation

Identifiers

PMID42046417
PMCPMC13121914

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.