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Effect of brain computer interface combined with acupuncture therapy on motor and cognitive function in stroke patients

2025· article· en· W6960459572 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRice Cultivation and Yield Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsAcupunctureTranscranial DopplerMiddle cerebral arteryRehabilitationStroke (engine)Cerebral blood flowCognitionActivities of daily living

Abstract

fetched live from OpenAlex

Objective To investigate the effect of a brain computer interface combined with acupuncture therapy on the recovery of motor function, cognitive function and daily living ability in stroke patients. Methods A prospective study was conducted, enrolling 40 stroke patients diagnosed and treated at the Rehabilitation Department of Xuzhou Rehabilitation Hospital from March to October 2023. According to the treatment intervention method, patients were divided into a control group (19 cases, routine treatment plus acupuncture therapy) and an observation group (21 cases, routine treatment plus brain computer machine interface combined with acupuncture therapy) . Before and after 8 weeks of intervention, cognitive function, motor function, and activities of daily living were evaluated using the Montreal Cognitive Assessment (MoCA) , the Fugl-Meyer Assessment (FMA) , and the Barthel Index, respectively.Neuron-specific enolase (NSE) , homocysteine (Hcy) , and S-100β levels were measured using enzyme-linked immunosorbent assay (ELISA) . Transcranial Doppler ultrasound was used to assess the blood flow velocity in the anterior cerebral artery, basilar artery, and middle cerebral artery, as well as clinical efficacy. Results After intervention, the scores of FMA, MoCA, and Barthel Index in the observation group were significantly higher than those in the control group (P<0.05) . After intervention, the blood flow velocity in the middle cerebral artery of the observation group was higher than that of the control group[ (59.79±9.37) cm/s vs 52.69±8.96) cm/s, t=2.443,P=0.019], and the serum levels of Hcy, NSE, and S-100β were lower in the observation group compared to the control group (P<0.05) . The effective treatment rate in the observation group was 95.24%, slightly higher than the 73.68% in the control group, but the difference was not statistically significant (χ 2=2.140,P=0.143). Conclusion The brain computer interface combined with acupuncture therapy can significantly reduce neurological damage, restore hemodynamics, and improve motor and cognitive function in stroke 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.071
GPT teacher head0.443
Teacher spread0.372 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes1
Has abstractyes

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