ReviewSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2026
[A review of noninvasive brain-computer interfaces combined with transcranial electrical stimulation for neural rehabilitation].
Review in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- DSGF-Net: A Lightweight Dual-Stream Gated Fusion Network for Cross-Subject fNIRS Motor Task Classification.Sensors (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rehabilitation of motor dysfunction following stroke remains a major clinical challenge, underscoring the urgent need to develop novel therapeutic strategies to improve functional recovery in patients. Brain-computer interface (BCI) technology has emerged as a cutting-edge approach in neurorehabilitation, demonstrating significant potential for motor function restoration. Transcranial electrical stimulation (tES), a non-invasive neuromodulation technique, can promote neuroplasticity by regulating cortical excitability. In recent years, studies have begun to explore the combination of BCI with tES to synergistically enhance neural remodeling within the central nervous system. This integrated multi-technology strategy is increasingly becoming a key focus in the field of neurorehabilitation. This review systematically summarized recent advances in tES-BCI integrated systems for neurorehabilitation, with a particular emphasis on widely adopted BCI paradigms and tES parameter configurations and stimulation modalities. Based on a comprehensive synthesis of existing evidence, this review summarizes the efficacy of this combined intervention strategy in rehabilitating upper and lower limb motor functions following stroke, highlights the methodological limitations and clinical translation challenges present in current research, and aims to provide insights for mechanistic exploration, system optimization, and clinical translation of integrated BCI-tES technology.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.