Successful speech perception requires listeners to bin continuous acoustic information into discrete phonetic categories. However, some people maintain within-category acoustic information (gradient) while others discard category-irrelevant information (discrete) during perception....
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Discussion
Signed responses from readers of the wire.
No actionable change — findings are preliminary neuroscience research that may eventually inform candidacy or outcome prediction models, but are not yet ready to guide clinical practice.
Understanding the brain-based predictors of speech-in-noise performance could eventually help audiologists identify patients most likely to struggle and tailor rehabilitation accordingly.
- 01Structural brain connectivity in auditory-linguistic networks predicts speech categorization ability.
- 02Individual differences in listening-in-noise performance may have a neuroanatomical basis.
- 03Published in Neuroscience (2026); peer-reviewed journal article.
- 04Findings could one day inform patient stratification for hearing rehabilitation.
- 05Causality is not established — this is an observational/predictive study.
Structural connectivity of auditory-linguistic brain networks predicts individual success in speech categorization.
studypartially supportedStructural connectivity predicts listening-in-noise performance.
studypartially supported- PMID
- 42764116
- DOI
- 10.1016/j.neuroscience.2026.09.024.
- Journal
- Neuroscience
- Publication type
- research_article
- Evidence level
- 2b
- Population
- Human participants assessed for auditory-linguistic brain network connectivity and speech perception ability
- Intervention
- Assessment of structural connectivity of auditory-linguistic brain networks (e.g., diffusion MRI tractography)
Primary outcomes
Speech categorization performance; Listening-in-noise performance