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 (2023). The challenge of measuring physiological parameters during motor imagery engagement in patients after a stroke Frontiers in Neuroscience, 17, pp. 1-15. Frontiers Research Foundation 10.3389/fnins.2023.1225440
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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 (SpO2) 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 SpO2 recordings showed similar values during MI and PE. The linear mixed model to examine HR and SpO2 between conditions (MI, PE, rest) revealed a significant difference in HR between rest and MI, and between rest and PE but not for SpO2. A Pearson correlation between MI ability assessments (KVIQ, BRT, MC) and physiological parameters showed no association between MI ability and HR and SpO2. 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.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
School of Engineering and Computer Science > Institut für Optimierung und Datenanalyse IODA School of Engineering and Computer Science |
Name: |
Gäumann, Szabina; Aksöz, Efe Anil  0000-0002-2481-4215; Behrendt, Frank; Wandel, Jasmin; Cappelletti, Letizia; Krug, Annika; Mörder, Daniel; Bill, Annika; Parmar, Katrin; Gerth, Hans Ulrich; Bonati, Leo H. and Schuster-Amft, Corina |
Subjects: |
R Medicine > R Medicine (General) |
ISSN: |
1662-453X |
Publisher: |
Frontiers Research Foundation |
Language: |
English |
Submitter: |
Jasmin Wandel |
Date Deposited: |
23 Aug 2023 10:59 |
Last Modified: |
23 Aug 2023 10:59 |
Publisher DOI: |
10.3389/fnins.2023.1225440 |
ARBOR DOI: |
10.24451/arbor.19718 |
URI: |
https://arbor.bfh.ch/id/eprint/19718 |
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