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....
No actionable change — brain connectivity measures are not yet clinical tools; findings are exploratory and require replication before informing audiological assessment or rehabilitation.
Understanding how structural brain connectivity underlies individual differences in speech-in-noise performance could eventually guide personalized hearing rehabilitation strategies.
- 01bioRxiv preprint examines structural (white-matter) connectivity of auditory-linguistic brain networks.
- 02Connectivity metrics were used to predict individual performance on speech categorization and speech-in-noise tasks.
- 03Study highlights that hearing difficulty in noise may have a neurological basis beyond peripheral hearing loss.
- 04Findings could inform future work on central auditory processing assessment.
- 05Preprint status means results have not been peer-reviewed.
Structural connectivity of auditory-linguistic brain networks predicts individual differences in speech categorization performance.
studypartially supportedStructural brain connectivity predicts speech-in-noise listening ability.
studypartially supported- PMID
- 42465391
- DOI
- 10.64898/2026.07.06.736789.
- Publication type
- preprint
- Evidence level
- 2b
- Population
- Human participants with varying speech-in-noise listening performance
- Intervention
- Structural brain connectivity measurement of auditory-linguistic networks
Primary outcomes
Speech categorization accuracy; Speech-in-noise listening performance