Evidence map›Paper›PMID 41278964›Full record

ArticlebioRxiv : the preprint server for biology2025

Proactive adjustments to cued gait perturbations in people with and without chronic stroke.

Tara Cornwell, James M Finley

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

5 · Who and what money

Authors and funding

2 authors.

Tara CornwellDepartment of Biomedical Engineering, University of Southern California, USA.ORCID 0000-0002-6508-3914
James M FinleyDepartment of Biomedical Engineering, University of Southern California, USA.ORCID 0000-0003-2679-2221

Funding

Toward a Mechanistic Understanding of Optimization Principles Underlying Hemiparetic GaitR01HD091184 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FINLEY, JAMES M. · 2018 to 2022
$1.5M
NICHD NIH HHS R01 HD091184
6 · The paper itself

Abstract

Balance disturbances exist along a continuum from those that are fully unexpected to those that are predictable based on cues from the environment. When people experience predictable disturbances while walking, they may proactively adjust their gait to minimize losses of balance. However, one's ability to effectively implement these proactive control strategies may be impaired after a stroke due to a combination of motor and cognitive impairments that result from brain lesions. Here, we used explicit audiovisual cues to characterize the proactive and reactive control strategies implemented by people with and without stroke during unexpected versus expected gait perturbations. Following unexpected treadmill accelerations, both groups had smaller margins of stability on the recovery step than during unperturbed walking. When we provided audiovisual cues specifying the impending perturbation step, people without stroke performed less leg and joint work, especially at the ankle, during the cued perturbations and increased their subsequent margins of stability by approximately 3 cm on the recovery step. However, people post-stroke did not make these proactive adjustments. Instead, after any perturbation, they modified their stepping to maintain their center of mass position within their base of support, and this reactive strategy remained unchanged with audiovisual cues. Our findings suggest that people post-stroke rely on a general reactive control strategy rather than proactively modifying push-off work, even when given precise timing information about the impending gait perturbations.

Indexed as

balancebiomechanicsgaitperturbationsstroke

Identifiers

PMID41278964
PMCPMC12633000

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.