Evidence map›Paper›PMID 41549257›Full record

SynthesisJournal of neuroengineering and rehabilitation2026

Efficacy of non-invasive neuromodulation technologies in improving cognitive function and activities of daily living in patients with Alzheimer's disease, Parkinson's disease, and stroke: a systematic review and network meta-analysis.

Chen Wang, Hui Chen, Min Liu, Wei Lu, Zhixiang Hao, Bingjie Wang

Abstract readSystematic ReviewNetwork Meta-AnalysisReview
In one paragraph

Synthesis in Journal of neuroengineering and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
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

6 authors.

Chen WangSchool of Rehabilitation Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, Shandong Province, China.
Hui ChenSchool of Nursing, Hubei University of Chinese Medicine, Wuhan, 430065, Hubei Province, China.
Min LiuDepartment of Rehabilitation Medicine, Shandong Provincial Third Hospital, Jinan, 250031, China. 1770426982@qq.com.
Wei LuDepartment of Rehabilitation Medicine, Shandong Provincial Third Hospital, Jinan, 250031, China.
Zhixiang HaoSchool of Rehabilitation Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, Shandong Province, China.
Bingjie WangSchool of Rehabilitation Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, Shandong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, non-invasive neuromodulation techniques (NINM) have demonstrated potential in promoting cognitive recovery. However, their relative efficacy across various disease contexts and stimulation protocols remains unclear.

objectiveTo evaluate the efficacy and ranking of non-invasive neuromodulation techniques in improving cognitive function and activities of daily living (ADLs) among patients with Alzheimer’s Disease, Parkinson’s Disease, and Stroke, and to explore the impact of age on therapeutic outcomes in order to provide evidence-based guidance for personalized clinical interventions.

methodsWe conducted a systematic literature search of PubMed, Web of Science, the Cochrane Library, Scopus, and EMBASE databases without any language restrictions. The search was limited to the period from the inception of each database up to May 2025. Inclusion criteria were Randomized Controlled Trials (RCTs) involving patients (≥ 18 years) with patients with Alzheimer’s Disease, Parkinson’s Disease, and Stroke and cognitive impairment. Interventions included Repetitive Transcranial Magnetic Stimulation (rTMS), intermittent Theta Burst Stimulation (iTBS), Transcranial Direct Current Stimulation (tDCS), or sham. Outcomes included Montreal Cognitive Assessment (MoCA), Mini-Mental State Examination (MMSE), Modified Barthel Index (MBI), and Instrumental Activities of Daily Living (IADL). Data extraction and risk of bias followed Cochrane guidelines. A Bayesian network meta-analysis was performed in R, with effects ranked by Surface Under the Cumulative Ranking curve (SUCRA).

resultsA total of 41 RCTs with 1957 participants were included. For cognitive outcomes, iTBS showed potential advantages on MoCA (MD = 3.62, 95% CI = 2.10 to 5.15; SUCRA = 95.1%) and MMSE (MD = 3.84, 95% CI = 1.96 to 5.71; SUCRA = 92.4%). Subgroup analyses revealed the strongest effects with stimulation of frontoparietal cognitive network. Age was identified as a factor influencing outcomes. For functional outcomes, low-frequency rTMS most improved MBI (MD = 13.43, 95% CI = 10.27 to 16.59; SUCRA = 85.8%), and tDCS had the greatest effect on IADL (SUCRA = 75.4%).

conclusionNon-invasive neuromodulation techniques improve cognitive function and ADLs in patients with Alzheimer’s Disease, Parkinson’s Disease, and Stroke, with iTBS showing significant cognitive benefits. Due to research heterogeneity and methodological limitations, large-scale standardized RCTs are needed to optimize protocols, explore age- and disease-specific effects, and enhance clinical translation.

Indexed as

Activities of Daily LivingAlzheimer DiseaseCognitionParkinson DiseaseStrokeStroke RehabilitationTranscranial Direct Current StimulationTranscranial Magnetic StimulationCognitive EnhancementHumansCentral nervous system disordersCognitive impairmentIntermittent theta burst stimulationNetwork meta-analysisRepetitive transcranial magnetic stimulationTranscranial direct current stimulation

Identifiers

PMID41549257
PMCPMC12853689

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.