Evidence map›Paper›PMID 35252458›Full record

ReviewBioMed research international2022

Poststroke Cognitive Impairment Research Progress on Application of Brain-Computer Interface.

Xiaowei Sun, Mingyue Li, Quan Li, Hongna Yin, Xicheng Jiang, Hongtao Li, Zhongren Sun, Tiansong Yang

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. 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
  5. Brain-computer interface: an update for the clinicians.Frontiers in human neuroscience · 2026
    Review
  6. Review
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
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

8 authors at 3 institutions in 1 country.

Xiaowei SunHeilongjiang University of Chinese Medicine, 24 Heping Road, Xiangfang District, Harbin, China 150036.ORCID https://orcid.org/0000-0002-8067-822X
Mingyue LiHeilongjiang University of Chinese Medicine, 24 Heping Road, Xiangfang District, Harbin, China 150036.ORCID https://orcid.org/0000-0003-0793-911X
Quan LiHeilongjiang University of Chinese Medicine, 24 Heping Road, Xiangfang District, Harbin, China 150036.
Hongna YinHeilongjiang University of Chinese Medicine, 24 Heping Road, Xiangfang District, Harbin, China 150036.
Xicheng JiangHeilongjiang University of Chinese Medicine, 24 Heping Road, Xiangfang District, Harbin, China 150036.
Hongtao LiHeilongjiang University of Chinese Medicine, 24 Heping Road, Xiangfang District, Harbin, China 150036.ORCID https://orcid.org/0000-0002-5867-0301
Zhongren SunHeilongjiang University of Chinese Medicine, 24 Heping Road, Xiangfang District, Harbin, China 150036.ORCID https://orcid.org/0000-0002-6821-6284
Tiansong YangHeilongjiang University of Chinese Medicine, 24 Heping Road, Xiangfang District, Harbin, China 150036.ORCID https://orcid.org/0000-0002-4008-702X
Heilongjiang University of Chinese Medicine · CNHarbin Medical University · CNJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain-computer interfaces (BCIs), a new type of rehabilitation technology, pick up nerve cell signals, identify and classify their activities, and convert them into computer-recognized instructions. This technique has been widely used in the rehabilitation of stroke patients in recent years and appears to promote motor function recovery after stroke. At present, the application of BCI in poststroke cognitive impairment is increasing, which is a common complication that also affects the rehabilitation process. This paper reviews the promise and potential drawbacks of using BCI to treat poststroke cognitive impairment, providing a solid theoretical basis for the application of BCI in this area.

Indexed as

Brain-Computer InterfacesCognitive DysfunctionStrokeStroke RehabilitationElectroencephalographyHumansRecovery of Function

Identifiers

PMID35252458
PMCPMC8896931
OpenAlexW4210865079

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.