Evidence map›Paper›PMID 42100576›Full record

ReviewFrontiers in human neuroscience2026

Brain-computer interface: an update for the clinicians.

Agam Jain, Sreelakshmi Raveendran, Krishnan Padmakumari Sivaraman Nair, Subasree Ramakrishnan

Abstract readReview
In one paragraph

Review in Frontiers in human neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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

4 authors.

Agam JainDepartment of Neurology, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research, New Delhi, India.
Sreelakshmi RaveendranDepartment of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India.
Krishnan Padmakumari Sivaraman NairDepartment of Neurology, Sheffield Teaching Hospital NHS Foundation Trust Royal Hallamshire Hospital, Sheffield, United Kingdom.
Subasree RamakrishnanDepartment of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This narrative review critically examines the fundamental principles and clinical applications of Brain-Computer Interfaces (BCIs) in neuroscience and mental health. We searched PubMed, Scopus, and PEDro databases using pre-defined keywords, with inclusion restricted to clinical studies. The manuscript provides an evidence-based assessment of current indications, technological limitations, and emerging solutions, offering insights into both the opportunities and challenges for clinical integration. Clinical decision-making pathways are outlined to guide the adoption of BCI technologies in patient care. This article aims to increase awareness among clinicians and to equip them with the essential knowledge required as BCI systems advance toward mainstream clinical use.

Indexed as

brain computer interfacecliniciansmental healthrehabilitationstroke

Identifiers

PMID42100576
PMCPMC13144110

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.