Evidence map›Paper›PMID 38358054›Full record

ReviewCNS neuroscience & therapeutics2024

Brain-computer interface digital prescription for neurological disorders.

Xiaoke Chai, Tianqing Cao, Qiheng He, Nan Wang, Xuemin Zhang, Xinying Shan, Zeping Lv, Wenjun Tu, Yi Yang, Jizong Zhao

Open access · goldAbstract readReview
In one paragraph

Review in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
11.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Neural Vision Restoration in Ophthalmology.Annals of biomedical engineering · 2026
    Review
  5. Review
  6. Article
  7. Review
  8. Application and Research Progress of BCI in Post-Stroke Psychiatric Disorders: A Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Review
  9. Ethics of brain-computer interface in mental healthcare.Frontiers in human neuroscience · 2026
    Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Xiaoke ChaiBrain Computer Interface Transitional Research Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-5450-6531
Tianqing CaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-1335-9464
Qiheng HeDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-6715-298X
Nan WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xuemin ZhangNational Research Center for Rehabilitation Technical Aids, Beijing, China.
Xinying ShanNational Research Center for Rehabilitation Technical Aids, Beijing, China.
Zeping LvNational Research Center for Rehabilitation Technical Aids, Beijing, China.
Wenjun TuTranslation Laboratory of Clinical Medicine, Chinese Institute for Brain Research & Beijing Tiantan Hospital, Beijing, China.
Yi YangBrain Computer Interface Transitional Research Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jizong ZhaoBrain Computer Interface Transitional Research Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-7304-0255
Capital Medical University · CNNational Research Center for Rehabilitation Technical Aids · CN

Funding

2022 Open Project of Key Laboratory and Engineering Technology Research Center in the Rehabilitation Field of the Ministry of Civil Affairs 2022GKZS0003Beijing Natural Science Foundation 7232049Chinese Institute for Brain Research Youth Scholar Program 2022-NKX-XM-02International (Hong Kong, Macao, and Taiwan) Science and Technology Cooperation Project Z221100002722014Science and Technology Innovation 2030-Young Scientists Project of Brain Science and brain-like Research 2022ZD0205300
6 · The paper itself

Abstract

Neurological and psychiatric diseases can lead to motor, language, emotional disorder, and cognitive, hearing or visual impairment By decoding the intention of the brain in real time, the Brain-computer interface (BCI) can first assist in the diagnosis of diseases, and can also compensate for its damaged function by directly interacting with the environment; In addition, provide output signals in various forms, such as actual motion, tactile or visual feedback, to assist in rehabilitation training; Further intervention in brain disorders is achieved by close-looped neural modulation. In this article, we envision the future BCI digital prescription system for patients with different functional disorders and discuss the key contents in the prescription the brain signals, coding and decoding protocols and interaction paradigms, and assistive technology. Then, we discuss the details that need to be specially included in the digital prescription for different intervention technologies. The third part summarizes previous examples of intervention, focusing on how to select appropriate interaction paradigms for patients with different functional impairments. For the last part, we discussed the indicators and influencing factors in evaluating the therapeutic effect of BCI as intervention.

Indexed as

Brain-Computer InterfacesBrain DiseasesNervous System DiseasesBrainElectroencephalographyHumansbrain-computer Interfacedisordersneural modulationrehabilitation

Identifiers

PMID38358054
PMCPMC10867871
OpenAlexW4391848720

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.