Literature DB >> 28532853

Long-term test-retest reliability of event-related potential (ERP) recordings during treadmill walking using the mobile brain/body imaging (MoBI) approach.

Brenda R Malcolm1, John J Foxe2, John S Butler3, Wenzhu B Mowrey4, Sophie Molholm5, Pierfilippo De Sanctis6.   

Abstract

Advancements in acquisition technology and signal-processing techniques have spurred numerous recent investigations on the electro-cortical signals generated during whole-body motion. This approach, termed Mobile Brain/Body Imaging (MoBI), has the potential to elucidate the neural correlates of perceptual and cognitive processes during real-life activities, such as locomotion. However, as of yet, no one has assessed the long-term stability of event-related potentials (ERPs) recorded under these conditions. Therefore, the objective of the current study was to evaluate the test-retest reliability of cognitive ERPs recorded while walking. High-density EEG was acquired from 12 young adults on two occasions, separated by an average of 2.3years, as they performed a Go/No-Go response inhibition paradigm. During each testing session, participants performed the task while walking on a treadmill and seated. Using the intraclass correlation coefficient (ICC) as a measure of agreement, we focused on two well-established neurophysiological correlates of cognitive control, the N2 and P3 ERPs. Following ICA-based artifact rejection, the earlier N2 yielded good to excellent levels of reliability for both amplitude and latency, while measurements for the later P3 component were generally less robust but still indicative of adequate to good levels of stability. Interestingly, the N2 was more consistent between walking sessions, compared to sitting, for both hits and correct rejection trials. In contrast, the P3 waveform tended to have a higher degree of consistency during sitting conditions. Overall, these results suggest that the electro-cortical signals obtained during active walking are representative of stable indices of neurophysiological function.
Copyright © 2017. Published by Elsevier B.V.

Entities:  

Keywords:  Cognitive performance; Dual-task design; EEG; Gait; Intraclass correlation coefficient; N2/P3; P300; Response inhibition; Test-retest reliability

Year:  2017        PMID: 28532853     DOI: 10.1016/j.brainres.2017.05.021

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  11 in total

1.  Cognitive load reduces the effects of optic flow on gait and electrocortical dynamics during treadmill walking.

Authors:  Brenda R Malcolm; John J Foxe; John S Butler; Sophie Molholm; Pierfilippo De Sanctis
Journal:  J Neurophysiol       Date:  2018-08-01       Impact factor: 2.714

2.  Utilizing High-Density Electroencephalography and Motion Capture Technology to Characterize Sensorimotor Integration While Performing Complex Actions.

Authors:  Kevin A Mazurek; David Richardson; Nicholas Abraham; John J Foxe; Edward G Freedman
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2019-09-27       Impact factor: 3.802

3.  Neurophysiological correlates of dual tasking in people with Parkinson's disease and freezing of gait.

Authors:  Conor Fearon; John S Butler; Saskia M Waechter; Isabelle Killane; Simon P Kelly; Richard B Reilly; Timothy Lynch
Journal:  Exp Brain Res       Date:  2020-11-02       Impact factor: 1.972

4.  Brain activity during dual task gait and balance in aging and age-related neurodegenerative conditions: A systematic review.

Authors:  Melike Kahya; Sanghee Moon; Maud Ranchet; Rachel R Vukas; Kelly E Lyons; Rajesh Pahwa; Abiodun Akinwuntan; Hannes Devos
Journal:  Exp Gerontol       Date:  2019-10-22       Impact factor: 4.032

5.  Looking for consistency in an uncertain world: test-retest reliability of neurophysiological and behavioral readouts in autism.

Authors:  Shlomit Beker; John J Foxe; John Venticinque; Juliana Bates; Elizabeth M Ridgeway; Roseann C Schaaf; Sophie Molholm
Journal:  J Neurodev Disord       Date:  2021-09-30       Impact factor: 4.025

6.  Mobile Brain/Body Imaging of cognitive-motor impairment in multiple sclerosis: Deriving EEG-based neuro-markers during a dual-task walking study.

Authors:  Pierfilippo De Sanctis; Brenda R Malcolm; Peter C Mabie; Ana A Francisco; Wenzhu B Mowrey; Sonja Joshi; Sophie Molholm; John J Foxe
Journal:  Clin Neurophysiol       Date:  2020-02-21       Impact factor: 3.708

7.  Assessing Brain-Muscle Connectivity in Human Locomotion through Mobile Brain/Body Imaging: Opportunities, Pitfalls, and Future Directions.

Authors:  Federico Gennaro; Eling D de Bruin
Journal:  Front Public Health       Date:  2018-02-26

8.  Understanding Natural Cognition in Everyday Settings: 3 Pressing Challenges.

Authors:  Francisco J Parada
Journal:  Front Hum Neurosci       Date:  2018-09-27       Impact factor: 3.169

Review 9.  Mobile EEG in research on neurodevelopmental disorders: Opportunities and challenges.

Authors:  Alex Lau-Zhu; Michael P H Lau; Gráinne McLoughlin
Journal:  Dev Cogn Neurosci       Date:  2019-03-08       Impact factor: 6.464

10.  Using the MoBI motion capture system to rapidly and accurately localize EEG electrodes in anatomic space.

Authors:  Kevin A Mazurek; Eleni Patelaki; John J Foxe; Edward G Freedman
Journal:  Eur J Neurosci       Date:  2021-02-21       Impact factor: 3.698

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