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Heart rate variability predicts decline in sensorimotor rhythm control

View ORCID ProfileMarius Nann, View ORCID ProfileDavid Haslacher, Annalisa Colucci, View ORCID ProfileBjoern Eskofier, View ORCID ProfileVinzenz von Tscharner, View ORCID ProfileSurjo R. Soekadar
doi: https://doi.org/10.1101/2021.01.08.424840
Marius Nann
1Applied Neurotechnology Lab, Department of Psychiatry and Psychotherapy, University Hospital of Tübingen, Germany
2Clinical Neurotechnology Lab, Neuroscience Research Center (NWFZ), Department of Psychiatry and Psychotherapy, Charité –University Medicine Berlin, Berlin, Germany
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David Haslacher
2Clinical Neurotechnology Lab, Neuroscience Research Center (NWFZ), Department of Psychiatry and Psychotherapy, Charité –University Medicine Berlin, Berlin, Germany
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Annalisa Colucci
2Clinical Neurotechnology Lab, Neuroscience Research Center (NWFZ), Department of Psychiatry and Psychotherapy, Charité –University Medicine Berlin, Berlin, Germany
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Bjoern Eskofier
3Machine Learning and Data Analytics Lab, Department of Computer Science, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
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Vinzenz von Tscharner
4Human Performance Lab, University of Calgary, 2500 University Drive NW, Calgary, Alberta T2N 1N4, Canada
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Surjo R. Soekadar
2Clinical Neurotechnology Lab, Neuroscience Research Center (NWFZ), Department of Psychiatry and Psychotherapy, Charité –University Medicine Berlin, Berlin, Germany
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  • For correspondence: surjo.soekadar@charite.de
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Abstract

Voluntary control of sensorimotor rhythms (SMR, 8-12 Hz) can be used for brain-computer interface (BCI)-based operation of an assistive hand exoskeleton, e.g., in finger paralysis after stroke. To gain SMR control, stroke survivors are usually instructed to engage in motor imagery (MI) or to attempt moving the paralyzed fingers resulting in task- or event-related desynchronization (ERD) of SMR (SMR-ERD). However, as these tasks are cognitively demanding, especially for stroke survivors suffering from cognitive impairments, BCI control performance can deteriorate considerably over time. It would thus be important to identify biomarkers that predict decline in BCI control performance within an ongoing session in order to optimize the man-machine interaction scheme. Here we determine the link between BCI control performance over time and heart rate variability (HRV). Specifically, we investigated whether HRV can be used as a biomarker to predict decline during voluntary control of SMR-ERD across 17 healthy participants using Granger causality. SMR-ERD was visually displayed on a screen. Participants were instructed to engage in MI-based SMR-ERD control over two consecutive runs of 8.5 minutes each. During the second run, task difficulty was gradually increased. While control performance (p = .18) and HRV (p = .16) remained unchanged across participants during the first run, during the second run, both measures declined over time at high correlation (performance: -0.61%/10s, p = 0; HRV: -0.007ms/10s, p < .001). We found that HRV Granger-caused BCI control performance (p < .001) exhibited predictive characteristics of HRV on an individual participant level. These results suggest that HRV can predict decline in BCI performance paving the way for adaptive BCI control paradigms, e.g., to individualize and optimize assistive BCI systems in stroke.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted January 08, 2021.
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Heart rate variability predicts decline in sensorimotor rhythm control
Marius Nann, David Haslacher, Annalisa Colucci, Bjoern Eskofier, Vinzenz von Tscharner, Surjo R. Soekadar
bioRxiv 2021.01.08.424840; doi: https://doi.org/10.1101/2021.01.08.424840
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Heart rate variability predicts decline in sensorimotor rhythm control
Marius Nann, David Haslacher, Annalisa Colucci, Bjoern Eskofier, Vinzenz von Tscharner, Surjo R. Soekadar
bioRxiv 2021.01.08.424840; doi: https://doi.org/10.1101/2021.01.08.424840

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