Evidence map›Paper›PMID 37358569›Full record

ArticleExperimental brain research2023

A mental workload and biomechanical assessment during split-belt locomotor adaptation with and without optic flow.

Caitlin E Mahon, Brad D Hendershot, Christopher Gaskins, Bradley D Hatfield, Emma P Shaw, Rodolphe J Gentili

Abstract read
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In one paragraph

Article in Experimental brain research, 2023. 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
0.2field-weighted citation impact, top 53% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

6 authors at 3 institutions in 1 country.

Caitlin E MahonResearch and Surveillance Section, Extremity Trauma and Amputation Center of Excellence, Defense Health Agency, Falls Church, VA, USA.
Brad D HendershotResearch and Surveillance Section, Extremity Trauma and Amputation Center of Excellence, Defense Health Agency, Falls Church, VA, USA.
Christopher GaskinsCognitive Motor Neuroscience Laboratory, Department of Kinesiology, School of Public Health (Bldg #255), University of Maryland, room #2138, College Park, MD, 20742, USA.
Bradley D HatfieldCognitive Motor Neuroscience Laboratory, Department of Kinesiology, School of Public Health (Bldg #255), University of Maryland, room #2138, College Park, MD, 20742, USA.
Emma P Shaw *Cognitive Motor Neuroscience Laboratory, Department of Kinesiology, School of Public Health (Bldg #255), University of Maryland, room #2138, College Park, MD, 20742, USA. eshaw210@umd.edu.
Rodolphe J Gentili *Cognitive Motor Neuroscience Laboratory, Department of Kinesiology, School of Public Health (Bldg #255), University of Maryland, room #2138, College Park, MD, 20742, USA. rodolphe@umd.edu.
University of Maryland, College Park · USDefense Health Agency · USWalter Reed National Military Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adaptive human performance relies on the central nervous system to regulate the engagement of cognitive-motor resources as task demands vary. Despite numerous studies which employed a split-belt induced perturbation to examine biomechanical outcomes during locomotor adaptation, none concurrently examined the cerebral cortical dynamics to assess changes in mental workload. Additionally, while prior work suggests that optic flow provides critical information for walking regulation, a few studies have manipulated visual inputs during adaption to split-belt walking. This study aimed to examine the concurrent modulation of gait and Electroencephalography (EEG) cortical dynamics underlying mental workload during split-belt locomotor adaptation, with and without optic flow. Thirteen uninjured participants with minimal inherent walking asymmetries at baseline underwent adaptation, while temporal-spatial gait and EEG spectral metrics were recorded. The results revealed a reduction in step length and time asymmetry from early to late adaptation, accompanied by an elevated frontal and temporal theta power; the former being well corelated to biomechanical changes. While the absence of optic flow during adaptation did not affect temporal-spatial gait metrics, it led to an increase of theta and low-alpha power. Thus, as individuals adapt their locomotor patterns, the cognitive-motor resources underlying the encoding and consolidation processes of the procedural memory were recruited to acquire a new internal model of the perturbation. Also, when adaption occurs without optic flow, a further reduction of arousal is accompanied with an elevation of attentional engagement due to enhanced neurocognitive resources likely to maintain adaptive walking patterns.

Indexed as

Optic FlowAdaptation, PhysiologicalBiomechanical PhenomenaCentral Nervous SystemExercise TestGaitHumansWalkingBiomechanicsElectroencephalographyLocomotionMental workloadOptic flowSensorimotor adaptationSplit-belt

Identifiers

PMID37358569
OpenAlexW4382011071

What OpenQuestion holds

Textmetadata
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.