Automated selective disruption of slow wave sleep.

ABSTRACT:

Background

Slow wave sleep (SWS) plays an important role in neurophysiologic restoration. Experimentally testing the effect of SWS disruption previously required highly time-intensive and subjective methods. Our goal was to develop an automated and objective protocol to reduce SWS without affecting sleep architecture.

New method

We developed a custom Matlab™ protocol to calculate electroencephalogram spectral power every 10s live during a polysomnogram, exclude artifact, and, if measurements met criteria for SWS, deliver increasingly louder tones through earphones. Middle-aged healthy volunteers (n=10) each underwent 2 polysomnograms, one with the SWS disruption protocol and one with sham condition.

Results

The SWS disruption protocol reduced SWS compared to sham cond

SUBMITTER: Ooms SJ 

PROVIDER: S-EPMC5399676 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature