Evidence map›Paper›PMID 39104673›Full record

ReviewCognitive neurodynamics2024

A review on the performance of brain-computer interface systems used for patients with locked-in and completely locked-in syndrome.

Sanaz Rezvani, S Hooman Hosseini-Zahraei, Amirreza Tootchi, Christoph Guger, Yasmin Chaibakhsh, Alia Saberi, Ali Chaibakhsh

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cognitive neurodynamics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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.

Sanaz RezvaniDepartment of Mechanical Engineering, University, University of Guilan, Campus 2, Rasht, 41447-84475 Guilan Iran.
S Hooman Hosseini-ZahraeiFaculty of Mechanical Engineering, University of Guilan, Rasht, 41996-13776 Guilan Iran.
Amirreza TootchiDepartment of Mechanical & Energy Engineering, Indiana University - Purdue University Indianapolis (IUPUI), 723 W Michigan Street, Indianapolis, IN 46202 USA.
Christoph Gugerg.tec medical engineering GmbH, 4521 Schiedlberg, Austria.
Yasmin ChaibakhshDepartment of Cardiac Anesthesia, Rajaie Cardiovascular Medical and Research Centre, Iran University of Medical Sciences, Tehran, 19956-14331 Iran.
Alia SaberiDepartment of Neurology, Poursina Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, 41937-13194 Guilan Iran.
Ali ChaibakhshIntelligent Systems and Advanced Control Lab, University of Guilan, Rasht, 41938-13776 Guilan Iran.ORCID 0000-0001-9529-1784

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with locked-in syndrome (LIS) and complete locked-in syndrome (CLIS) own a fully functional brain restricted within a non-functional body. In order to help LIS patients stay connected with their surroundings, brain-computer interfaces (BCIs) and related technologies have emerged. BCIs translate brain activity into actions that can be performed by external devices enabling LIS patients to communicate, leading to an increase in their quality of life. The past decade has seen the rapid development of BCIs that have the potential to be used for patients with locked-in syndrome, from which a great deal is tested only on healthy subjects and not on actual patients. This study aims to (1) provide the readers with a comprehensive study that contributes to this growing area of research by exploring the performance of BCIs tested specifically on LIS and CLIS patients, (2) give an overview of different modalities and paradigms used in different stages of the locked-in syndrome, and (3) discuss the contributions and limitations of BCIs introduced for the LIS and CLIS patients in the state-of-the-art and lay a groundwork for researchers interested in this field.

Indexed as

Amyotrophic lateral sclerosisBrain-computer interfaceCommunicationComplete locked-in stateLocked-in state

Identifiers

PMID39104673
PMCPMC11297882

What OpenQuestion holds

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Registered trials

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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.