Peripheral Predictors of Speech in Noise Deficits in a Population Cohort

medRxiv · 12 Nov 2026 · Preprint · Open access

Cederroth, C.

The abstract is read at the publisher; the summary is JClub's.

eHF pure-tone average (10–16 kHz) is the most age-sensitive auditory metric and best predicts speech-in-noise performance in 263 Swedish adults’ ears.

Why it matters: Conventional audiometric thresholds at standard frequencies often fail to explain speech-in-noise deficits, leaving uncertainty about whether high-frequency loss or ABR-inferred synaptopathy better predicts real-world hearing.
What they did: In a cross-sectional analysis of 526 ears from tinnitus-free adults, air-conduction audiometry (0.5–16 kHz), click-evoked ABR, otoacoustic emissions, and speech-in-noise/word recognition were modeled with multivariable regression.
The result: eHF PTA explained 64% of age-related variance versus 16% for PTA4, and eHF thresholds predicted speech-in-noise better than PTA4, otoacoustic emissions, or ABR; ABR wave I amplitude added nothing, while longer wave I latency predicted poorer word recognition, with a ~27-percentage-point drop in older adults for ~1.0 to 1.8 ms.

AI summary of the abstract · may contain errors · not medical advice · read the paper.

Open access

Free. We’ll email you when a new paper cites this one or any other paper you follow on JClub — at most one email a day. Every email has a one-tap unsubscribe.

Auditory cortex deviance detection represents a canonical difference signal
bioRxiv · 12 Nov 2026 · Preprint
AI summary · may contain errors
In primary auditory cortex (A1), putative excitatory neurons’ deviant responses encode a sensory prediction error, capturing standard-to-deviant frequency differences across oddball paradigm variants.
- Open access
Open
Share
Post on X Post on Bluesky Share on LinkedIn
https://jclub.com.au/a/10.64898/2026.01.06.697993
Open in JClub
Integrating GWAS meta-analysis with human brain cell mapping implicates the amygdala and cortical inhibitory interneurons in tinnitus
medRxiv · 12 Nov 2026 · Preprint
AI summary · may contain errors
Common genetic variants linked to tinnitus in 961,085 European-ancestry adults concentrate in limbic and cortical neuronal cell populations, not ascending auditory relay clusters, with amygdala excitatory cells showing z = 4.82.
- Open access
- 3 cites
Open
Share
Post on X Post on Bluesky Share on LinkedIn
https://jclub.com.au/a/10.1101/2025.11.28.25340151
Open in JClub
Temporal Progression of Prior Precision, Surprisal, Model Updating and Tone Adaptation in Human Auditory Cortices
bioRxiv · 6 Nov 2026 · Preprint
AI summary · may contain errors
Prior precision signals in human auditory cortex emerge earliest during MEG listening to stochastic tone sequences with periodically shifting inferential statistics, preceding repetition suppression and surprisal.
- Open access
Open
Share
Post on X Post on Bluesky Share on LinkedIn
https://jclub.com.au/a/10.64898/2026.10.25.761658
Open in JClub

Journals this month

All journals →

Topics moving, week to 13 Nov 2026

All topics →

By field

All journals by field →

Peripheral Predictors of Speech in Noise Deficits in a Population Cohort

Related in JClub

Auditory cortex deviance detection represents a canonical difference signal

Integrating GWAS meta-analysis with human brain cell mapping implicates the amygdala and cortical inhibitory interneurons in tinnitus

Temporal Progression of Prior Precision, Surprisal, Model Updating and Tone Adaptation in Human Auditory Cortices

Browse JClub