A novel experimental setup combining EEG and robotics to investigate brain activity driving controlled reaching movements in chronic stroke survivors

Albert Chen*, Jun Yao, Julius P A Dewald

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

When chronic, hemiparetic stroke survivors make reaching movements while lifting the paretic arm against gravity, their ability to generate the necessary independent joint movements for reaching degrades dramatically due to abnormal muscle coactivation patterns that couple shoulder abduction with elbow flexion. The neural mechanisms behind the appearance of abnormal coordination patterns during post-stroke recovery are largely unknown, but they are possibly related to a loss in cortical resolution and an increased usage of undamaged, indirect descending motor pathways via the brainstem. In order to investigate the underlying mechanisms for this behavior in chronic stroke survivors, we have developed a novel experimental setup that simultaneously records electroencephalographs (EEG) signals while the test subject makes different reaching movements with an ACT3D robot. This method allows us to map brain activity during controlled reaching movements with different levels of robot-mediated limb support for the first time. Our results provide evidence for changes in cortical activity driving realistic upperextremity reaching movements as independent joint control becomes compromised in stroke survivors.

Original languageEnglish (US)
Title of host publication2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07
Pages876-882
Number of pages7
DOIs
StatePublished - Dec 1 2007
Event2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07 - Noordwijk, Netherlands
Duration: Jun 12 2007Jun 15 2007

Other

Other2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07
CountryNetherlands
CityNoordwijk
Period6/12/076/15/07

Fingerprint

Brain
Robotics
Robots
Muscle
Gravitation
Recovery

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

@inproceedings{aa307e080163419e83274b017a350180,
title = "A novel experimental setup combining EEG and robotics to investigate brain activity driving controlled reaching movements in chronic stroke survivors",
abstract = "When chronic, hemiparetic stroke survivors make reaching movements while lifting the paretic arm against gravity, their ability to generate the necessary independent joint movements for reaching degrades dramatically due to abnormal muscle coactivation patterns that couple shoulder abduction with elbow flexion. The neural mechanisms behind the appearance of abnormal coordination patterns during post-stroke recovery are largely unknown, but they are possibly related to a loss in cortical resolution and an increased usage of undamaged, indirect descending motor pathways via the brainstem. In order to investigate the underlying mechanisms for this behavior in chronic stroke survivors, we have developed a novel experimental setup that simultaneously records electroencephalographs (EEG) signals while the test subject makes different reaching movements with an ACT3D robot. This method allows us to map brain activity during controlled reaching movements with different levels of robot-mediated limb support for the first time. Our results provide evidence for changes in cortical activity driving realistic upperextremity reaching movements as independent joint control becomes compromised in stroke survivors.",
author = "Albert Chen and Jun Yao and Dewald, {Julius P A}",
year = "2007",
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doi = "10.1109/ICORR.2007.4428527",
language = "English (US)",
isbn = "1424413206",
pages = "876--882",
booktitle = "2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07",

}

Chen, A, Yao, J & Dewald, JPA 2007, A novel experimental setup combining EEG and robotics to investigate brain activity driving controlled reaching movements in chronic stroke survivors. in 2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07., 4428527, pp. 876-882, 2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07, Noordwijk, Netherlands, 6/12/07. https://doi.org/10.1109/ICORR.2007.4428527

A novel experimental setup combining EEG and robotics to investigate brain activity driving controlled reaching movements in chronic stroke survivors. / Chen, Albert; Yao, Jun; Dewald, Julius P A.

2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07. 2007. p. 876-882 4428527.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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