Evidence map›Paper›PMID 37256332›Full record

ReviewNeurosurgical review2023

Applications of brain-computer interfaces in neurodegenerative diseases.

Hossein Tayebi, Sina Azadnajafabad, Seyed Farzad Maroufi, Ahmad Pour-Rashidi, MirHojjat Khorasanizadeh, Sina Faramarzi, Konstantin V Slavin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Neurosurgical review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 28 citations in OpenAlex.

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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 at 5 institutions in 2 countries.

Hossein TayebiNeurosurgical Research Network (NRN), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
Sina AzadnajafabadNeurosurgical Research Network (NRN), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
Seyed Farzad MaroufiNeurosurgical Research Network (NRN), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
Ahmad Pour-RashidiNeurosurgical Research Network (NRN), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
MirHojjat KhorasanizadehDepartment of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine, New York City, NY, USA.
Sina FaramarziUniversity of California, Irvine, Irvine, CA, USA.
Konstantin V SlavinDepartment of Neurosurgery, University of Illinois at Chicago, Chicago, IL, 60612, USA. Kslavin@uic.edu.
Tehran University of Medical Sciences · IRUniversal Scientific Education and Research Network · IRMount Sinai Hospital · USUniversity of California, Irvine · USUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain-computer interfaces (BCIs) provide the central nervous system with channels of direct communication to the outside world, without having to go through the peripheral nervous system. Neurodegenerative diseases (NDs) are notoriously incurable and burdensome medical conditions that will result in progressive deterioration of the nervous system. The applications of BCIs in NDs have been studied for decades now through different approaches, resulting in a considerable amount of literature in all related areas. In this study, we begin by introducing BCIs and proceed by explaining the principles of BCI-based neurorehabilitation. Then, we go through four specific types of NDs, including amyotrophic lateral sclerosis, Parkinson's disease, Alzheimer's disease, and spinal muscular atrophy, and review some of the applications of BCIs in the neural rehabilitation of these diseases. We conclude with a discussion of the characteristics, challenges, and future possibilities of research in the field. Going through the uses of BCIs in NDs, we can see that approaches and strategies employed to tackle the wide range of limitations caused by NDs are numerous and diverse. Furthermore, NDs can fall under different categories based on the target area of neurodegeneration and thus require different methods of BCI-based rehabilitation. In recent years, neurotechnology companies have substantially invested in research on BCIs, focusing on commercializing BCIs and bringing BCI-based technologies from bench to bedside. This can mean the beginning of a new era for BCI-based neurorehabilitation, with an anticipated spike in interest among researchers, practitioners, engineers, and entrepreneurs alike.

Indexed as

Brain-Computer InterfacesNeurodegenerative DiseasesBrainCentral Nervous SystemElectroencephalographyHumansAlzheimer’s diseaseAmyotrophic lateral sclerosisBrain-computer interfacesNeurodegenerative diseasesNeurological rehabilitation

Identifiers

PMID37256332
OpenAlexW4378782411

What OpenQuestion holds

Textmetadata
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.