ArticleIntegrative medicine research2018
Effect of acupuncture on patients with mild cognitive impairment assessed using functional near-infrared spectroscopy on week 12 (close-out): a pilot study protocol.
Article in Integrative medicine research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Trial
- Efficacy and Safety ofNutrients · 2025Trial
- Trial
- Applications of functional near-infrared spectroscopy in non-drug therapy of traditional Chinese medicine: a review.Frontiers in neuroscience · 2023Review
- Acupuncture enhances brain function in patients with mild cognitive impairment: evidence from a functional-near infrared spectroscopy study.Neural regeneration research · 2022Article
- Cognitive Improvement Effects of Electroacupuncture Combined with Computer-Based Cognitive Rehabilitation in Patients with Mild Cognitive Impairment: A Randomized Controlled Trial.Brain sciences · 2020Article
- Bacomics: a comprehensive cross area originating in the studies of various brain-apparatus conversations.Cognitive neurodynamics · 2020Review
- Effects of Acupuncture Therapy on MCI Patients Using Functional Near-Infrared Spectroscopy.Frontiers in aging neuroscience · 2019Article
- Evaluation of Neural Degeneration Biomarkers in the Prefrontal Cortex for Early Identification of Patients With Mild Cognitive Impairment: An fNIRS Study.Frontiers in human neuroscience · 2019Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrently, there is no clearly established therapy to treat mild cognitive impairment (MCI); consequently, alternative therapies, such as acupuncture, have been attempted. In many clinical studies, the potential benefits of acupuncture for cognitive improvement have been identified in clinical outcomes; however, the mechanism remains unclear. Accordingly, this study aims to investigate the therapeutic mechanism of acupuncture therapy using functional near-infrared spectroscopy and its feasibility in treating individuals with impaired cognitive function.
methodsThis study is designed to be a prospective, two-arm, parallel clinical trial involving 24 participants. The patient group will be treated with acupuncture twice per week for 12 weeks; meanwhile, the healthy control group will not undergo acupuncture treatment. Functional near-infrared spectroscopy assessment and a working memory test will be performed at baseline and every 6 weeks to investigate the therapeutic mechanism of acupuncture. The primary outcome will be measured using the Korean version of the Montreal Cognitive Assessment. The secondary outcomes will be the Alzheimer's Disease Assessment Scale-cognitive subscale score, working memory task accuracy, response rate, response time, and hemodynamic response of the prefrontal lobe. The outcomes will be evaluated at baseline, and at 6 and 12 weeks after subject allocation. DISCUSSION: This clinical pilot trial is designed to determine the feasibility of acupuncture as an effective and safe treatment for improving cognitive function in patients with MCI. Results of this study may provide guidance for future larger-scale clinical trials.
trial registrationClinical Research Information Service (CRIS), Republic of Korea: KCT0002451. Registered September 5, 2017.
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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.