Evidence map›Paper›PMID 36194197›Full record

ArticleAssistive technology : the official journal of RESNA2023

Factors influencing neuromuscular responses to gait training with a robotic ankle exoskeleton in cerebral palsy.

Benjamin C Conner, Alyssa M Spomer, Katherine M Steele, Zachary F Lerner

Open access · greenAbstract read
In one paragraph

Article in Assistive technology : the official journal of RESNA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Mobility Function and Aperiodic Electrocortical Activity in Younger and Older Adults.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
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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

4 authors at 2 institutions in 1 country.

Benjamin C ConnerCollege of Medicine - Phoenix, University of Arizona, Phoenix, Arizona, USA.ORCID 0000-0002-9567-9989
Alyssa M SpomerDepartment of Mechanical Engineering, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-1479-7199
Katherine M SteeleDepartment of Mechanical Engineering, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-4128-9387
Zachary F LernerCollege of Medicine - Phoenix, University of Arizona, Phoenix, Arizona, USA.ORCID 0000-0002-7359-436X
University of Arizona · USUniversity of Washington · US

Funding

Quantifying patient-specific changes in neuromuscular control in cerebral palsyR01NS091056 · NINDS · UNIVERSITY OF WASHINGTON · PI Michael Hart Schwartz, Katherine M Steele · 2015 to 2026
$3.4M
Augmenting Ankle Plantarflexor Function and Walking Capacity in Children with Cerebral PalsyR01HD107277 · NICHD · NORTHERN ARIZONA UNIVERSITY · PI LERNER, ZACHARY FOREST · 2021 to 2025
$2.1M
Wearable Ankle Assistance to Improve Walking Economy in Children with Cerebral PalsyR15HD099664 · NICHD · NORTHERN ARIZONA UNIVERSITY · PI LERNER, ZACHARY FOREST · 2019 to 2019
$424k
Investigation of the neuromuscular response and training effects of wearable adaptive resistance in children with cerebral palsyF30HD103318 · NICHD · UNIVERSITY OF ARIZONA · PI CONNER, BENJAMIN CHARLES · 2021 to 2024
$183k
NICHD NIH HHS F30 HD103318NICHD NIH HHS R01 HD107277NICHD NIH HHS R15 HD099664NINDS NIH HHS R01 NS091056
6 · The paper itself

Abstract

A current limitation in the development of robotic gait training interventions is understanding the factors that predict responses to treatment. The purpose of this study was to explore the application of an interpretable machine learning method, Bayesian Additive Regression Trees (BART), to identify factors influencing neuromuscular responses to a resistive ankle exoskeleton in individuals with cerebral palsy (CP). Eight individuals with CP (GMFCS levels I - III, ages 12-18 years) walked with a resistive ankle exoskeleton over seven visits while we measured soleus activation. A BART model was developed using a predictor set of kinematic, device, study, and participant metrics that were hypothesized to influence soleus activation. The model (

Indexed as

Cerebral PalsyExoskeleton DeviceRobotic Surgical ProceduresAnkleBayes TheoremBiomechanical PhenomenaGaitHumansWalkingBayesian additive regression treecerebral palsydevice engagementexoskeletonneurorehabilitation

Identifiers

PMID36194197
PMCPMC10070554
OpenAlexW4301393634

What OpenQuestion holds

Textmetadata
LicenceTDM
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.