ArticleEar and hearing
Resting-State Functional Connectivity Predicts Cochlear-Implant Speech Outcomes.
Article in Ear and hearing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Dynamic functional connectivity following cochlear implantation: Predicting speech outcomes and exploring brain network dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Imaging the developing brain with near-infrared spectroscopy in cochlear implanted children.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- A narrative review of functional near-infrared spectroscopy (fNIRS) applications in hearing loss, tinnitus and vestibular disorders.Frontiers in neuroscience · 2025Review
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Authors and funding
6 authors.
Funding
Abstract
objectivesCochlear implants (CIs) have revolutionized hearing restoration for individuals with severe or profound hearing loss. However, a substantial and unexplained variability persists in CI outcomes, even when considering subject-specific factors such as age and the duration of deafness. In a pioneering study, we use resting-state functional near-infrared spectroscopy to predict speech-understanding outcomes before and after CI implantation. Our hypothesis centers on resting-state functional connectivity (FC) reflecting brain plasticity post-hearing loss and implantation, specifically targeting the average clustering coefficient in resting FC networks to capture variation among CI users.
designTwenty-three CI candidates participated in this study. Resting-state functional near-infrared spectroscopy data were collected preimplantation and at 1 month, 3 months, and 1 year postimplantation. Speech understanding performance was assessed using consonant-nucleus-consonant words in quiet and Bamford-Kowal-Bench sentences in noise 1-year postimplantation. Resting-state FC networks were constructed using regularized partial correlation, and the average clustering coefficient was measured in the signed weighted networks as a predictive measure for implantation outcomes.
resultsOur findings demonstrate a significant correlation between the average clustering coefficient in resting-state functional networks and speech understanding outcomes, both pre- and postimplantation.
conclusionsThis approach uses an easily deployable resting-state functional brain imaging metric to predict speech-understanding outcomes in implant recipients. The results indicate that the average clustering coefficient, both pre- and postimplantation, correlates with speech understanding outcomes.
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