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Enregistrement W7117484082 · doi:10.1002/brx2.70043

Brain‐computer interface in clinical application: How far is it from realization?

2025· article· en· W7117484082 sur OpenAlexaboutno aff
Shugeng Chen, Jie Jia

Notice bibliographique

RevueBrain‐X · 2025
Typearticle
Langueen
DomaineNeuroscience
ThématiqueEEG and Brain-Computer Interfaces
Établissements canadiensnon disponible
Organismes subventionnairesScience and Technology Commission of Shanghai MunicipalityNational Natural Science Foundation of China
Mots-clésClinical trialBrain–computer interfaceSpinal cord injuryBeijingClinical researchChinaRandomized controlled trialParaplegia

Résumé

récupéré en direct d'OpenAlex

Brain-computer interface (BCI) is rapidly transitioning from concept verification to practical implementation,1 and clinical trials on BCIs are currently underway across the globe.2 The wireless minimally invasive implantable BCI, termed the Neural Electronic Opportunity (NEO), was developed by the team at Tsinghua University and successfully completed its inaugural clinical trial at Xuanwu Hospital in China in 2023. The next year, Beijing Tiantan Hospital in China reported a successful case where the NEO was used to assist a patient with high-level paraplegia in achieving mind control of cursor movement. Another successful case in China occurred in November 2024 in Huashan Hospital. The 38-year-old patient had been unable to grip and stand due to cervical spinal cord injury following a car accident. The patient recovered from the implantation procedure and was able to rise from bed and use a wheelchair on the third postoperative day. Clinical trials on BCIs are now in progress at many hospitals in China. Meanwhile, Elon Musk announced on X that Neuralink would implant its first chip into a human brain, marking the commencement of Neuralink's first human clinical trial on January 30, 2024. Neuralink received FDA approval for human trials in May 2023. As of September 2025, 12 individuals have received Neuralink's BCI device implants.3 Neuralink's first submission of research findings to the New England Journal of Medicine indicates that BCI technology is advancing to a new stage of development.4 Health Canada approved Neuralink's clinical trials to comprehensively evaluate the self-developed fully implantable wireless BCI system in 2024. The trials in China differ from the Neuralink trials of a fully implantable BCI in that the Chinese trials involve minimally invasive procedures which do not require opening the dura, resulting in a more stable electrode status, a lower risk of infection, and greater safety for patients. The advantage of BCI technology could be advantageous to patients living with disabilities due to spinal cord injury,5, 6 stroke,7-9 treatment-resistant depression,10 and other conditions,10 enhancing their ability to communicate,11-13 control and recover limb function,14 and improving quality of life. Although BCI technology has demonstrated clear clinical value for patients with disabilities, there remain bottlenecks in core algorithm breakthroughs.15-18 Additionally, the clinical application of BCIs is limited not only by technical challenges but also by medical ethics—which mandates minimizing potential harm—and by the significant cost of treatment. BCIs remain distant from widespread clinical implementation, primarily due to two prerequisites: first, demonstrable clinical efficacy must be established and substantiated to confirm sustained effectiveness; second, robust evidence-based validation is essential for its inclusion in clinical practice guidelines, which is a necessary condition for standardized adoption in routine medical care. Eventual large-scale clinical applications should use BCI medical products which are accessible, easy to use, effective and affordable. These are equally important considerations in the industrialization of BCIs. Shugeng Chen: Writing—review and editing; writing—original draft; funding acquisition; conceptualization; methodology; investigation; visualization; data curation; formal analysis. Lei Jiang: Writing—original draft; writing—review and editing; conceptualization. Jie Jia: Writing—review and editing; funding acquisition; conceptualization; methodology; investigation; supervision. This work was supported by the National Natural Science Foundation of China (82202798), the Project of Shanghai Science and Technology Commission (24YL1900202) and the Shanghai Sailing Program (22YF1404200). The authors declare no conflicts of interest. The National Natural Science Foundation of China, 82202798; Project of Shanghai Science and Technology Commission, 24YL1900202; Shanghai Sailing Program, 22YF1404200. The ethics approval is not needed in this study. Data sharing is not applicable to this article as no new data was created or analyzed in this study.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,053
score de la tête « metaresearch » (Gemma)0,060
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,053
Score d'incertitude au seuil0,281

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0530,060
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0020,011
Communication savante0,0100,022
Science ouverte0,0040,004
Intégrité de la recherche0,0150,021
Charge utile insuffisante (le modèle a refusé de juger)0,0140,009

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,044
Tête enseignante GPT0,361
Écart entre enseignants0,317 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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