Evidence map›Paper›PMID 41332787›Full record

ArticlebioRxiv : the preprint server for biology2025

Degraded neural coding of temporal fine structure with age predicts effortful listening in multi-talker environments.

Leslie Zhen, Satyabrata Parida, Jacie R McHaney, Maggie E Zink, Bharath Chandrasekaran, Aravindakshan Parthasarathy

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Leslie ZhenDepartment of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh PA.ORCID 0000-0002-3956-1177
Satyabrata ParidaDepartment of Neurobiology, University of Pittsburgh, Pittsburgh PA.ORCID 0000-0002-2896-2522
Jacie R McHaneyDepartment of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh PA.ORCID 0000-0002-1148-4018
Maggie E ZinkDepartment of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh PA.ORCID 0000-0003-2018-2772
Bharath ChandrasekaranDepartment of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh PA.ORCID 0000-0002-3673-9435
Aravindakshan ParthasarathyDepartment of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh PA.ORCID 0000-0002-4573-8004

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
Training in Auditory and Vestibular NeuroscienceT32DC011499 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Karl Kandler, BILL J YATES · 2011 to 2026
$3.0M
Research Supplement - Luz AndrinoR21DC018882 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PARTHASARATHY, ARAVINDAKSHAN · 2022 to 2024
$666k
Neural Mechanisms of Speech Perception in Noise in Middle-AgeF31DC020085 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MCHANEY, JACIE R · 2022 to 2022
$49k
NCATS NIH HHS UL1 TR001857NIDCD NIH HHS F31 DC020085NIDCD NIH HHS R21 DC018882NIDCD NIH HHS T32 DC011499
6 · The paper itself

Abstract

Middle age represents a critical window for early detection of neurophysiological decline. Hearing loss is increasingly recognized as both an early marker of neural degeneration and a modifiable risk factor for dementia. Yet many adults report difficulty understanding speech in noise despite normal audiograms, highlighting the limitations of current clinical tests that fail to capture the underlying physiology or effort required for real-world listening. Beyond hearing thresholds, speech comprehension in complex environments depends on precise neural encoding of temporal fine structure (TFS) cues that convey pitch and spatial information. Here, we use a noninvasive EEG-based measure of neural phase-locking (frequency modulation following responses or FMFRs) to quantify TFS encoding in young and middle-aged adults with normal hearing thresholds. Middle-aged listeners exhibited reduced FMFR amplitudes and shallower discriminability slopes, reflecting diminished neural synchrony despite preserved hearing thresholds. Using a multi-talker speech task we further found that pupil-indexed listening effort was significantly greater in middle-aged adults despite matched accuracy across groups. Further, increases in listening effort were predicted by decreases in TFS encoding. Together, these results reveal that degraded neural encoding of TFS underlies subclinical listening difficulties and increased cognitive load, establishing the FMFR as a sensitive biomarker of hidden auditory neural decline.

Identifiers

PMID41332787
PMCPMC12667872

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.