Hidden Neural Variability and the Unexplained Cochlear Implant Outcome
Abstract
Cochlear implants work, but not equally. After decades of cohort studies, the familiar predictors of outcome (age, duration of deafness, residual hearing, etiology) still leave most of the spread between patients unexplained. Research on how the brain handles degraded speech, audiovisual cues and everyday sounds shows that implant outcome measures test the brain at least as much as the ear. Yet candidacy assessment still examines the cochlea, the auditory nerve and inner-ear anatomy, and rarely the cognitive and structural state of the brain that must learn to use the device. This article argues that undetected neural variability, including cognitive decline, hearing-related atrophy and incidental pathology in brains assumed to be normal, is a plausible and largely unmeasured contributor to the missing variance. It proposes routine cognitive and volumetric phenotyping of implant candidates, and of the control groups against which they are judged. Because the brain restores much of the degraded implant signal through its predictive mechanisms, the article also calls for a new line of work: the development of dedicated tests of predictive brain capacity, a measure currently absent from both candidacy assessment and outcome research.
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BibTeX
@misc{strelnikov2026hidden,
title = {{Hidden Neural Variability and the Unexplained Cochlear Implant Outcome}},
author = {Kuzma Strelnikov},
howpublished = {PsyArXiv},
year = {2026},
month = oct,
doi = {10.31234/osf.io/k58bj_v1},
url = {https://osf.io/preprints/psyarxiv/k58bj_v1/},
note = {CC0},
}
RIS
TY - UNPB
TI - Hidden Neural Variability and the Unexplained Cochlear Implant Outcome
AU - Kuzma Strelnikov
PY - 2026
DA - 2026/10/26
PB - PsyArXiv
DO - 10.31234/osf.io/k58bj_v1
UR - https://osf.io/preprints/psyarxiv/k58bj_v1/
AB - Cochlear implants work, but not equally. After decades of cohort studies, the familiar predictors of outcome (age, duration of deafness, residual hearing, etiology) still leave most of the spread between patients unexplained. Research on how the brain handles degraded speech, audiovisual cues and everyday sounds shows that implant outcome measures test the brain at least as much as the ear. Yet candidacy assessment still examines the cochlea, the auditory nerve and inner-ear anatomy, and rarely the cognitive and structural state of the brain that must learn to use the device. This article argues that undetected neural variability, including cognitive decline, hearing-related atrophy and incidental pathology in brains assumed to be normal, is a plausible and largely unmeasured contributor to the missing variance. It proposes routine cognitive and volumetric phenotyping of implant candidates, and of the control groups against which they are judged. Because the brain restores much of the degraded implant signal through its predictive mechanisms, the article also calls for a new line of work: the development of dedicated tests of predictive brain capacity, a measure currently absent from both candidacy assessment and outcome research.
ER -