# Could sleep engineering be used to combat PTSD and depression?

## TL;DR

This paper explores using sleep engineering, combined with machine learning, as a non-drug treatment for PTSD and depression.

## Contribution

The paper proposes using machine learning with EEG signals to detect memory reactivations during sleep for therapeutic purposes.

## Key findings

- Sleep engineering could offer a non-invasive treatment for PTSD and depression.
- Machine learning classifiers can detect memory reactivations during sleep.
- This approach could optimize therapeutic interventions without drugs.

## Abstract

Sleep engineering could be developed to provide a drug-free, non-invasive avenue to treat depression and post-traumatic stress disorder. Such an intervention would be greatly aided by the sophisticated detection of memory reactivations using machine learning classifiers.

Could sleep engineering be developed to provide a drug-free, non-invasive avenue to treat depression and post-traumatic stress disorder? This Perspective proposes using machine learning with EEG signals to develop and optimize this type of intervention.