Evidence map›Paper›PMID 41659584›Full record

ArticlebioRxiv : the preprint server for biology2026

Effects of delay and amplification of auditory feedback for walking: anticipation, variability, and frequency adaptation.

Jingxian Gu, Dobromir Dotov

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

2 authors.

Jingxian GuDepartment of Biomechanics, University of Nebraska Omaha.ORCID 0009-0007-3822-9926
Dobromir DotovDepartment of Biomechanics, University of Nebraska Omaha.ORCID 0000-0002-5543-360X

Funding

Visual control of locomotion in people with Parkinsons diseaseP20GM109090 · NIGMS · UNIVERSITY OF NEBRASKA OMAHA · PI STERGIOU, NIKOLAOS · 2014 to 2023
$20.5M
Tissue Analysis Core (TAC)P20GM152301 · NIGMS · UNIVERSITY OF NEBRASKA OMAHA · PI Yury Salkovskiy · 2024 to 2026
$8.8M
NIGMS NIH HHS P20 GM109090NIGMS NIH HHS P20 GM152301
6 · The paper itself

Abstract

When walking, we generate rich acoustic information through our footsteps. This sound stream contains information about footfall timing, dragging, loading rate, etc. The role of this endogenous auditory feedback in gait control remains underexplored. Building on work in delayed auditory feedback (DAF) for speech and on theories of sensorimotor coupling, we investigated whether manipulating the delay and amplification of self-produced footstep sounds modulates gait dynamics. Thirty healthy young adults walked overground while receiving real-time lateralized playback of the sound close to their feet using shoe-mounted microphones, belt-worn micro-computer, and headphones, all connected with cables for minimal latency. Across conditions, auditory feedback was delivered with no delay, low delay (12.5% step duration), or high delay (25% step duration), and at either full or half amplification. There was also a masked hearing condition with pink noise. Spatiotemporal gait parameters, namely cadence, speed, stride length, and coefficient of variation were analyzed as percent change relative to baseline. We found that amplification without delay reduced variability by almost 10% on average, consistent with strengthened sensorimotor coupling via enhanced perceptual access to foot-ground interaction dynamics. A second interesting finding was that delay increased the cadence of walking instead of reducing it, contrary to our expectations. We discussed how this effect can be explained by both Bayesian predictive coding and anticipatory dynamic systems with delayed feedback. We developed a theoretical model with anticipatory dynamics, with implications for closed-loop gait rehabilitation tools.

Indexed as

anticipationdelayed auditory feedbackgaitinternal modelpredictive processing

Identifiers

PMID41659584
PMCPMC12873838

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.