Evidence map›Paper›PMID 31267218›Full record

ArticleExperimental brain research2019

Cerebral cortical networking for mental workload assessment under various demands during dual-task walking.

Emma P Shaw, Jeremy C Rietschel, Isabelle M Shuggi, Yishi Xu, Shuo Chen, Matthew W Miller, Bradley D Hatfield, Rodolphe J Gentili

Abstract read
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In one paragraph

Article in Experimental brain research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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.

Emma P ShawProgram in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, USA.
Jeremy C RietschelCognitive Motor Neuroscience Laboratory, Department of Kinesiology, School of Public Health, University of Maryland, Bldg #255, College Park, MD, 20742, USA.
Isabelle M ShuggiProgram in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, USA.
Yishi XuDepartment of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA.
Shuo ChenDivision of Biostatistics and Bioinformatics, School of Medicine, University of Maryland, Baltimore, MD, USA.
Matthew W MillerSchool of Kinesiology, Auburn University, Auburn, AL, USA.
Bradley D HatfieldProgram in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, USA.
Rodolphe J GentiliProgram in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, USA. rodolphe@umd.edu.

Funding

U.S. Department of Defense NF90UG
6 · The paper itself

Abstract

While several studies have examined attentional reserve (via event-related potentials) and mental effort (via EEG spectral content) from various cortical regions during dual-task walking, none have assessed changes in the magnitude of interregional (cortico-cortical) communication as a measure of mental workload. Therefore, by deploying a traditional montage of electrode sites centered over the motor planning region as well as a more comprehensive graph theory-based approach encompassing the entire scalp, this study aimed to systematically examine changes in the magnitude of functional connectivity underlying cortico-cortical communication to assess changes in mental workload under various levels of challenge. Specifically, the Weighted Phase Lag Index (WPLI) was computed to assess the changes in magnitude of functional connectivity as participants performed a cognitive task under two demands (low and high) and two conditions (seated and walking). The results revealed enhanced fronto-centro-temporo-parietal theta connectivity during dual-task walking relative to being seated as well as a reduced inhibition of fronto-centro-temporo-parieto-occipital alpha networking as the demand on the secondary cognitive task increased. Collectively, these findings may reflect greater recruitment of task relevant processes to respond to increased cognitive-motor demands and thus an elevation of mental workload in an effort to maintain performance under varying levels of challenge. This work has the potential to inform future mental workload assessment applications in patient populations, including those who employ prostheses during cognitive-motor performance under various task demands.

Indexed as

ConnectomeAdultAlpha RhythmCerebral CortexColor PerceptionExecutive FunctionFemaleHumansMaleNerve NetPattern Recognition, VisualPsychomotor PerformanceTheta RhythmWalkingYoung AdultAlpha connectivityDual-task walkingEEG functional connectivityMental workloadTheta networking

Identifiers

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.