Evidence map›Paper›PMID 26485148›Full record

ArticlePloS one2015

Human-Robot Interaction: Does Robotic Guidance Force Affect Gait-Related Brain Dynamics during Robot-Assisted Treadmill Walking?

Kristel Knaepen, Andreas Mierau, Eva Swinnen, Helio Fernandez Tellez, Marc Michielsen, Eric Kerckhofs, Dirk Lefeber, Romain Meeusen

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05988905 (The Effects of Gait Performance and Brain Activity After Robot-assisted Gait Training), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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.

NCT05988905 naunknown statusnot on this mapstarted 2023, after this paper: background citation

The Effects of Gait Performance and Brain Activity After Robot-assisted Gait Training (RAGT) On Patients With Lower Extremity Thermal Injury : a Prospective, Randomized, Single-blinded Study

TypeinterventionalSponsorHangang Sacred Heart HospitalRan2023 to 2024Enrolled40ConditionsGait Disorder, SensorimotorArmsrobot assited gati training, conventional traiing
3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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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

8 authors.

Kristel KnaepenHuman Physiology Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
Andreas MierauInstitute of Movement and Neurosciences, German Sport University, Cologne, Germany.
Eva SwinnenCenter for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium; Department of Rehabilitation Research, Vrije Universiteit Brussel, Brussels, Belgium.
Helio Fernandez TellezHuman Physiology Research Group, Vrije Universiteit Brussel, Brussels, Belgium; Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium.
Marc MichielsenJessa Hospital, Rehabilitation Center Sint-Ursula, Herk-de-Stad, Belgium.
Eric KerckhofsCenter for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium; Department of Rehabilitation Research, Vrije Universiteit Brussel, Brussels, Belgium.
Dirk LefeberRobotics and Multibody Mechanics Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
Romain MeeusenHuman Physiology Research Group, Vrije Universiteit Brussel, Brussels, Belgium; School of Public Health, Tropical Medicine and Rehabilitation Sciences, James Cook University, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to determine optimal training parameters for robot-assisted treadmill walking, it is essential to understand how a robotic device interacts with its wearer, and thus, how parameter settings of the device affect locomotor control. The aim of this study was to assess the effect of different levels of guidance force during robot-assisted treadmill walking on cortical activity. Eighteen healthy subjects walked at 2 km.h-1 on a treadmill with and without assistance of the Lokomat robotic gait orthosis. Event-related spectral perturbations and changes in power spectral density were investigated during unassisted treadmill walking as well as during robot-assisted treadmill walking at 30%, 60% and 100% guidance force (with 0% body weight support). Clustering of independent components revealed three clusters of activity in the sensorimotor cortex during treadmill walking and robot-assisted treadmill walking in healthy subjects. These clusters demonstrated gait-related spectral modulations in the mu, beta and low gamma bands over the sensorimotor cortex related to specific phases of the gait cycle. Moreover, mu and beta rhythms were suppressed in the right primary sensory cortex during treadmill walking compared to robot-assisted treadmill walking with 100% guidance force, indicating significantly larger involvement of the sensorimotor area during treadmill walking compared to robot-assisted treadmill walking. Only marginal differences in the spectral power of the mu, beta and low gamma bands could be identified between robot-assisted treadmill walking with different levels of guidance force. From these results it can be concluded that a high level of guidance force (i.e., 100% guidance force) and thus a less active participation during locomotion should be avoided during robot-assisted treadmill walking. This will optimize the involvement of the sensorimotor cortex which is known to be crucial for motor learning.

Indexed as

User-Computer InterfaceAdultBiomechanical PhenomenaBrainFemaleGaitHumansMaleRoboticsWalkingYoung Adult

Identifiers

PMID26485148
PMCPMC4617721

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Registered trials

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.