Evidence map›Paper›PMID 40585760›Full record

ReviewExploration (Beijing, China)2025

Applications and Challenges of Auditory Brain-Computer Interfaces in Objective Auditory Assessments for Pediatric Cochlear Implants.

Qi Zheng, Yubo Wu, Jianing Zhu, Kunyun Feng, Yanru Bai, Guoping Li, Guangjian Ni

Abstract readReview
In one paragraph

Review in Exploration (Beijing, China), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Qi ZhengAcademy of Medical Engineering and Translational Medicine Tianjin University Tianjin China.ORCID https://orcid.org/0009-0006-6619-6802
Yubo WuAcademy of Medical Engineering and Translational Medicine Tianjin University Tianjin China.
Jianing ZhuAcademy of Medical Engineering and Translational Medicine Tianjin University Tianjin China.
Kunyun FengAcademy of Medical Engineering and Translational Medicine Tianjin University Tianjin China.
Yanru BaiAcademy of Medical Engineering and Translational Medicine Tianjin University Tianjin China.
Guoping LiCentre for China-UK Audiology Education Institute of Sound and Vibration Research University of Southampton Southampton UK.
Guangjian NiAcademy of Medical Engineering and Translational Medicine Tianjin University Tianjin China.ORCID https://orcid.org/0000-0002-9240-3020

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cochlear implants (CI) are the premier intervention for individuals with severe to profound hearing impairment. Worldwide, an estimated 600,000 individuals have enhanced their hearing through cochlear implantation, with nearly half being children. The evaluations after implantation are crucial for appropriate clinical interventions and care. Current clinical practice lacks methods to assess the recovery of advanced auditory functions in cochlear-implanted children. Yet, recent advancements in electroencephalographic (EEG) techniques show promise in accurately evaluating auditory rehabilitation in this demographic. This review elucidates the evolution of brain-computer interface (BCI) technology for auditory assessment, focusing primarily on its application in pediatric cochlear implant recipients. Emphasis is placed on promising clinical biomarkers for auditory rehabilitation and the neural adaptability accompanying cortical adjustments after implantation. Additionally, we discuss emerging challenges and prospects in applying BCI technology to these children.

Indexed as

auditory brain‐computer interfaceauditory cortex remodelingcochlear implantcross‐modal reorganizationobjective auditory assessment

Identifiers

PMID40585760
PMCPMC12199368

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.