Automatized online prediction of slow‐wave peaks during non‐rapid eye movement sleep in young and old individuals: Why we should not always rely on amplitude thresholds

Marina Wunderlin; Thomas Koenig; Céline Zeller; Christoph Nissen; Marc A. Züst

doi:10.1111/jsr.13584

journal article Open Access Mar 10, 2022

Automatized online prediction of slow‐wave peaks during non‐rapid eye movement sleep in young and old individuals: Why we should not always rely on amplitude thresholds

Marina Wunderlin

Journal of Sleep Research Vol. 31 No. 6 · Wiley

View at Publisher Save 10.1111/jsr.13584

Abstract

SummaryBrain‐state‐dependent stimulation during slow‐wave sleep is a promising tool for the treatment of psychiatric and neurodegenerative diseases. A widely used slow‐wave prediction algorithm required for brain‐state‐dependent stimulation is based on a specific amplitude threshold in the electroencephalogram. However, due to decreased slow‐wave amplitudes in aging and psychiatric conditions, this approach might miss many slow‐waves because they do not fulfill the amplitude criterion. Here, we compared slow‐wave peaks predicted via an amplitude‐based versus a multidimensional approach using a topographical template of slow‐wave peaks in 21 young and 21 older healthy adults. We validate predictions against the gold‐standard of offline detected peaks. Multidimensionally predicted peaks resemble the gold‐standard regarding spatiotemporal dynamics but exhibit lower peak amplitudes. Amplitude‐based prediction, by contrast, is less sensitive, less precise and – especially in the older group – predicts peaks that differ from the gold‐standard regarding spatiotemporal dynamics. Our results suggest that amplitude‐based slow‐wave peak prediction might not always be the ideal choice. This is particularly the case in populations with reduced slow‐wave amplitudes, like older adults or psychiatric patients. We recommend the use of multidimensional prediction, especially in studies targeted at populations other than young and healthy individuals.

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References

Details

Published: Mar 10, 2022
Vol/Issue: 31(6)
License: View

Authors

M

Marina Wunderlin

University Hospital of Old Age Psychiatry and Psychotherapy University of Bern Bern Switzerland

T

Thomas Koenig

University Hospital of Psychiatry and Psychotherapy University of Bern Bern Switzerland; Interfaculty Research Cooperation ‐ Decoding Sleep University of Bern Bern Switzerland

C

Céline Zeller

University Hospital of Old Age Psychiatry and Psychotherapy University of Bern Bern Switzerland

C

Christoph Nissen

University Hospital of Psychiatry and Psychotherapy University of Bern Bern Switzerland; Interfaculty Research Cooperation ‐ Decoding Sleep University of Bern Bern Switzerland

M

Marc A. Züst

University Hospital of Old Age Psychiatry and Psychotherapy University of Bern Bern Switzerland

Cite This Article

Marina Wunderlin, Thomas Koenig, Céline Zeller, et al. (2022). Automatized online prediction of slow‐wave peaks during non‐rapid eye movement sleep in young and old individuals: Why we should not always rely on amplitude thresholds. Journal of Sleep Research, 31(6). https://doi.org/10.1111/jsr.13584

Automatized online prediction of slow‐wave peaks during non‐rapid eye movement sleep in young and old individuals: Why we should not always rely on amplitude thresholds

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