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Record W4417126999 · doi:10.1159/000549822

Utilizing the DMN and DAN to Study the Effects of Acupuncture on Patients with Cognitive Impairment in Long COVID: A Pragmatic Randomized Controlled Trial Protocol

2025· article· en· W4417126999 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueComplementary Medicine Research · 2025
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsnot available
FundersShenzhen UniversityNational Natural Science Foundation of China
KeywordsAcupunctureRandomized controlled trialCognitive impairmentCognitionProtocol (science)Clinical trial

Abstract

fetched live from OpenAlex

Background: Cognitive impairment is one of the long COVID symptoms that many people experience after Coronavirus Disease 2019 (COVID-19). Many individuals report a decline in cognitive functions, such as reduced memory and brain fog. These symptoms not only directly affect the cognitive functions of the brain but also hinder daily living activities, thereby reducing the quality of life. Moreover, these symptoms are significant risk factors for long-term cognitive decline in the elderly and can have both short-term and long-term effects on brain function. Clinically, acupuncture is widely used to improve cognitive impairment in the elderly. Elucidating the brain network mechanisms underlying acupuncture therapy for long COVID-related cognitive impairment represents an urgently needed research focus. In this study, we employed acupuncture as an intervention to mitigate cognitive decline in long COVID patients and investigate the potential mechanisms by which acupuncture alleviates cognitive impairment. Methods: In this randomized controlled trial, 60 eligible participants are planned to be recruited and randomly assigned in a 1:1 ratio to the acupuncture group and the health education group, which will then receive acupuncture treatment and health education. The acupuncture group will participate in treatment three times per week for a total of 8 weeks. The health education group will receive health education once per week for a total of 8 weeks. The primary assessment index was the Montreal Cognitive Assessment Scale (MoCA), and the secondary assessment indexes included Clinical Dementia Rating (CDR), Mini-Mental State Examination (MMSE), Activity of Daily Living Scale (ADL), Auditory Verbal Learning Test-Huashan Version (AVLT-H), and resting-state functional magnetic resonance imaging data. These assessment indicators were all tested in 1 week each before and after the intervention was implemented. Discussion: This trial aims to investigate the therapeutic effects of acupuncture on cognitive impairment in patients with long COVID and to further explore the imaging mechanisms by which acupuncture alleviates cognitive dysfunction in these patients. .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.445
Teacher spread0.412 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it