Evidence map›Paper›PMID 36196114›Full record

ArticleNational science review2022

Progress in the development of a fully implantable brain-computer interface: the potential of sensing-enabled neurostimulators.

Yue Chen, Guokun Zhang, Linxiao Guan, Chen Gong, Bozhi Ma, Hongwei Hao, Luming Li

Abstract read
In one paragraph

Article in National science review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Identifying Thematics in a Brain-Computer Interface Research.Computational intelligence and neuroscience · 2023
    Review
  7. Article
  8. 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

7 authors.

Yue ChenNational Engineering Research Center of Neuromodulation, School of Aerospace Engineering, Tsinghua University, China.
Guokun ZhangNational Engineering Research Center of Neuromodulation, School of Aerospace Engineering, Tsinghua University, China.
Linxiao GuanNational Engineering Research Center of Neuromodulation, School of Aerospace Engineering, Tsinghua University, China.
Chen GongNational Engineering Research Center of Neuromodulation, School of Aerospace Engineering, Tsinghua University, China.
Bozhi MaNational Engineering Research Center of Neuromodulation, School of Aerospace Engineering, Tsinghua University, China.
Hongwei HaoNational Engineering Research Center of Neuromodulation, School of Aerospace Engineering, Tsinghua University, China.
Luming LiNational Engineering Research Center of Neuromodulation, School of Aerospace Engineering, Tsinghua University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This perspective article investigates the performance of using a sensing-enabled neurostimulator as a motor brain-computer interface.

Identifiers

PMID36196114
PMCPMC9522391

What OpenQuestion holds

Textmetadata
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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.