The effects of mismatch response-based programming on hearing and speech performances in cochlear implanted children: a follow-up study

Background It remains unclear whether the auditory mismatch response (MMR) can assist cochlear implants (CI) programming in children with CIs.Objective To explore the effects of MMR-based programming on hearing and speech abilities in cochlear implanted (CI) children.Material and Methods Twenty-two children were initially recruited, and 20 (14 boys, 6 girls) completed the study. The children received MMR-guided CI programming. Conventional subjective assessments were performed before programming (Pre), within one week after programming (W1), and three months after programming (M3).Results First, the scores of the MMR test, CAP, SIR, MUSS, consonants recognition, vowels recognition, and lexical tones recognition at W1 and M3 were significantly higher than those at Pre (p < 0.05). Second, MMR scores are not only positively correlated with certain hearing and speech performances at the same time point, but also with those at subsequent time points (p < 0.05).Conclusions and significance The MMR detection rate, as well as hearing and speech performances, consistently improved following MMR-based CI programming in CI children. Moreover, the effects remained stable over the 3-month follow-up period. MMR-based programming may serve as a new method of precision CI fitting.

Authors

Institutions

Publication Details

Journal
Acta Oto-Laryngologica
Published
2026-06-25
DOI
https://doi.org/10.1080/00016489.2026.2688877
Primary Topic
Hearing Loss and Rehabilitation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The effects of mismatch response-based programming on hearing and speech performances in cochlear implanted children: a follow-up study

Miao Yan, Wei Liang, Y Zhang, Min Shen et al.
Acta Oto-Laryngologica
Hearing Loss and Rehabilitation
article

The effects of mismatch response-based programming on hearing and speech performances in cochlear implanted children: a follow-up study

Miao Yan, Wei Liang, Y Zhang, Min Shen, Liyan Wang
article en

Abstract

Background It remains unclear whether the auditory mismatch response (MMR) can assist cochlear implants (CI) programming in children with CIs.Objective To explore the effects of MMR-based programming on hearing and speech abilities in cochlear implanted (CI) children.Material and Methods Twenty-two children were initially recruited, and 20 (14 boys, 6 girls) completed the study. The children received MMR-guided CI programming. Conventional subjective assessments were performed before programming (Pre), within one week after programming (W1), and three months after programming (M3).Results First, the scores of the MMR test, CAP, SIR, MUSS, consonants recognition, vowels recognition, and lexical tones recognition at W1 and M3 were significantly higher than those at Pre (p < 0.05). Second, MMR scores are not only positively correlated with certain hearing and speech performances at the same time point, but also with those at subsequent time points (p < 0.05).Conclusions and significance The MMR detection rate, as well as hearing and speech performances, consistently improved following MMR-based CI programming in CI children. Moreover, the effects remained stable over the 3-month follow-up period. MMR-based programming may serve as a new method of precision CI fitting.

Acta Oto-Laryngologica
China Rehabilitation Research Center (CN)
National Key Research and Development Program of China
Quality Education
Openalex Percentile: Top 6%
Hearing Loss and Rehabilitation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.