Evidence map›Paper›PMID 35537453›Full record

ArticleCurrent biology : CB2022

General variability leads to specific adaptation toward optimal movement policies.

Sabrina J Abram, Katherine L Poggensee, Natalia Sánchez, Surabhi N Simha, James M Finley, Steven H Collins, J Maxwell Donelan

Open access · greenAbstract read
In one paragraph

Article in Current biology : CB, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.9field-weighted citation impact, top 2% of its field
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

29 citing papers in PubMed, 61 citations in OpenAlex.

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  17. Ethnokinesiology: towards a neuromechanical understanding of cultural differences in movement.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Sabrina J AbramSchool of Engineering Science, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.
Katherine L PoggenseeDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.
Natalia SánchezDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA 90089, USA.
Surabhi N SimhaDepartment of Biomedical Engineering, Emory University, Atlanta, GA 30322, USA.
James M FinleyDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA 90089, USA; Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA; Neuroscience Graduate Program, University of Southern California, Los Angeles, CA 90089, USA.
Steven H CollinsDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.
J Maxwell DonelanDepartment of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC V5A 1S6, Canada. Electronic address: mdonelan@sfu.ca.
Simon Fraser University · CAStanford University · USUniversity of Southern California · USEmory University · US

Funding

Mentored Career DevelopmentKL2TR001854 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Elizabeth Rhea Erwin Burner, Amy Elizabeth West · 2016 to 2026
$9.0M
Toward a Mechanistic Understanding of Optimization Principles Underlying Hemiparetic GaitR01HD091184 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FINLEY, JAMES M. · 2018 to 2022
$1.5M
NCATS NIH HHS KL2 TR001854NICHD NIH HHS R01 HD091184
6 · The paper itself

Abstract

Our nervous systems can learn optimal control policies in response to changes to our bodies, tasks, and movement contexts. For example, humans can learn to adapt their control policy in walking contexts where the energy-optimal policy is shifted along variables such as step frequency or step width. However, it is unclear how the nervous system determines which ways to adapt its control policy. Here, we asked how human participants explore through variations in their control policy to identify more optimal policies in new contexts. We created new contexts using exoskeletons that apply assistive torques to each ankle at each walking step. We analyzed four variables that spanned the levels of the whole movement, the joint, and the muscle: step frequency, ankle angle range, total soleus activity, and total medial gastrocnemius activity. We found that, across all of these analyzed variables, variability increased upon initial exposure to new contexts and then decreased with experience. This led to adaptive changes in the magnitude of specific variables, and these changes were correlated with reduced energetic cost. The timescales by which adaptive changes progressed and variability decreased were faster for some variables than others, suggesting a reduced search space within which the nervous system continues to optimize its policy. These collective findings support the principle that exploration through general variability leads to specific adaptation toward optimal movement policies.

Indexed as

Energy MetabolismWalkingAdaptation, PhysiologicalBiomechanical PhenomenaGaitHumansMuscle, SkeletalPolicyenergeticsgaitmotor learningmotor variabilityoptimization

Identifiers

PMID35537453
PMCPMC9504978
OpenAlexW4229366427

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.