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The challenge of measuring physiological parameters during motor imagery engagement in patients after a stroke

INTRODUCTION: It is suggested that eye movement recordings could be used as an objective evaluation method of motor imagery (MI) engagement. Our investigation aimed to evaluate MI engagement in patients after stroke (PaS) compared with physical execution (PE) of a clinically relevant unilateral uppe...

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Autores principales: Gäumann, Szabina, Aksöz, Efe Anil, Behrendt, Frank, Wandel, Jasmin, Cappelletti, Letizia, Krug, Annika, Mörder, Daniel, Bill, Annika, Parmar, Katrin, Gerth, Hans Ulrich, Bonati, Leo H., Schuster-Amft, Corina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423937/
https://www.ncbi.nlm.nih.gov/pubmed/37583419
http://dx.doi.org/10.3389/fnins.2023.1225440
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author Gäumann, Szabina
Aksöz, Efe Anil
Behrendt, Frank
Wandel, Jasmin
Cappelletti, Letizia
Krug, Annika
Mörder, Daniel
Bill, Annika
Parmar, Katrin
Gerth, Hans Ulrich
Bonati, Leo H.
Schuster-Amft, Corina
author_facet Gäumann, Szabina
Aksöz, Efe Anil
Behrendt, Frank
Wandel, Jasmin
Cappelletti, Letizia
Krug, Annika
Mörder, Daniel
Bill, Annika
Parmar, Katrin
Gerth, Hans Ulrich
Bonati, Leo H.
Schuster-Amft, Corina
author_sort Gäumann, Szabina
collection PubMed
description INTRODUCTION: It is suggested that eye movement recordings could be used as an objective evaluation method of motor imagery (MI) engagement. Our investigation aimed to evaluate MI engagement in patients after stroke (PaS) compared with physical execution (PE) of a clinically relevant unilateral upper limb movement task of the patients' affected body side. METHODS: In total, 21 PaS fulfilled the MI ability evaluation [Kinaesthetic and Visual Imagery Questionnaire (KVIQ-10), body rotation task (BRT), and mental chronometry task (MC)]. During the experiment, PaS moved a cup to distinct fields while wearing smart eyeglasses (SE) with electrooculography electrodes integrated into the nose pads and electrodes for conventional electrooculography (EOG). To verify MI engagement, heart rate (HR) and oxygen saturation (SpO(2)) were recorded, simultaneously with electroencephalography (EEG). Eye movements were recorded during MI, PE, and rest in two measurement sessions to compare the SE performance between conditions and SE's psychometric properties. RESULTS: MI and PE correlation of SE signals varied between r = 0.12 and r = 0.76. Validity (cross-correlation with EOG signals) was calculated for MI (r = 0.53) and PE (r = 0.57). The SE showed moderate test–retest reliability (intraclass correlation coefficient) with r = 0.51 (95% CI 0.26–0.80) for MI and with r = 0.53 (95% CI 0.29 – 0.76) for PE. Event-related desynchronization and event-related synchronization changes of EEG showed a large variability. HR and SpO(2) recordings showed similar values during MI and PE. The linear mixed model to examine HR and SpO(2) between conditions (MI, PE, rest) revealed a significant difference in HR between rest and MI, and between rest and PE but not for SpO(2). A Pearson correlation between MI ability assessments (KVIQ, BRT, MC) and physiological parameters showed no association between MI ability and HR and SpO(2). CONCLUSION: The objective assessment of MI engagement in PaS remains challenging in clinical settings. However, HR was confirmed as a reliable parameter to assess MI engagement in PaS. Eye movements measured with the SE during MI did not resemble those during PE, which is presumably due to the demanding task. A re-evaluation with task adaptation is suggested.
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spelling pubmed-104239372023-08-15 The challenge of measuring physiological parameters during motor imagery engagement in patients after a stroke Gäumann, Szabina Aksöz, Efe Anil Behrendt, Frank Wandel, Jasmin Cappelletti, Letizia Krug, Annika Mörder, Daniel Bill, Annika Parmar, Katrin Gerth, Hans Ulrich Bonati, Leo H. Schuster-Amft, Corina Front Neurosci Neuroscience INTRODUCTION: It is suggested that eye movement recordings could be used as an objective evaluation method of motor imagery (MI) engagement. Our investigation aimed to evaluate MI engagement in patients after stroke (PaS) compared with physical execution (PE) of a clinically relevant unilateral upper limb movement task of the patients' affected body side. METHODS: In total, 21 PaS fulfilled the MI ability evaluation [Kinaesthetic and Visual Imagery Questionnaire (KVIQ-10), body rotation task (BRT), and mental chronometry task (MC)]. During the experiment, PaS moved a cup to distinct fields while wearing smart eyeglasses (SE) with electrooculography electrodes integrated into the nose pads and electrodes for conventional electrooculography (EOG). To verify MI engagement, heart rate (HR) and oxygen saturation (SpO(2)) were recorded, simultaneously with electroencephalography (EEG). Eye movements were recorded during MI, PE, and rest in two measurement sessions to compare the SE performance between conditions and SE's psychometric properties. RESULTS: MI and PE correlation of SE signals varied between r = 0.12 and r = 0.76. Validity (cross-correlation with EOG signals) was calculated for MI (r = 0.53) and PE (r = 0.57). The SE showed moderate test–retest reliability (intraclass correlation coefficient) with r = 0.51 (95% CI 0.26–0.80) for MI and with r = 0.53 (95% CI 0.29 – 0.76) for PE. Event-related desynchronization and event-related synchronization changes of EEG showed a large variability. HR and SpO(2) recordings showed similar values during MI and PE. The linear mixed model to examine HR and SpO(2) between conditions (MI, PE, rest) revealed a significant difference in HR between rest and MI, and between rest and PE but not for SpO(2). A Pearson correlation between MI ability assessments (KVIQ, BRT, MC) and physiological parameters showed no association between MI ability and HR and SpO(2). CONCLUSION: The objective assessment of MI engagement in PaS remains challenging in clinical settings. However, HR was confirmed as a reliable parameter to assess MI engagement in PaS. Eye movements measured with the SE during MI did not resemble those during PE, which is presumably due to the demanding task. A re-evaluation with task adaptation is suggested. Frontiers Media S.A. 2023-07-31 /pmc/articles/PMC10423937/ /pubmed/37583419 http://dx.doi.org/10.3389/fnins.2023.1225440 Text en Copyright © 2023 Gäumann, Aksöz, Behrendt, Wandel, Cappelletti, Krug, Mörder, Bill, Parmar, Gerth, Bonati and Schuster-Amft. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Gäumann, Szabina
Aksöz, Efe Anil
Behrendt, Frank
Wandel, Jasmin
Cappelletti, Letizia
Krug, Annika
Mörder, Daniel
Bill, Annika
Parmar, Katrin
Gerth, Hans Ulrich
Bonati, Leo H.
Schuster-Amft, Corina
The challenge of measuring physiological parameters during motor imagery engagement in patients after a stroke
title The challenge of measuring physiological parameters during motor imagery engagement in patients after a stroke
title_full The challenge of measuring physiological parameters during motor imagery engagement in patients after a stroke
title_fullStr The challenge of measuring physiological parameters during motor imagery engagement in patients after a stroke
title_full_unstemmed The challenge of measuring physiological parameters during motor imagery engagement in patients after a stroke
title_short The challenge of measuring physiological parameters during motor imagery engagement in patients after a stroke
title_sort challenge of measuring physiological parameters during motor imagery engagement in patients after a stroke
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423937/
https://www.ncbi.nlm.nih.gov/pubmed/37583419
http://dx.doi.org/10.3389/fnins.2023.1225440
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