[Sleep spindles-Function, detection and use as biomarker for diagnostics in psychiatry]

Area of Science:

• Neuroscience
• Sleep Science
• Psychiatric Diagnostics

Background:

• Sleep spindles are EEG graphoelements present in light and deep sleep.
• Altered sleep spindle activity is observed across various psychiatric disorders.
• Sleep spindles possess stable characteristics, suggesting potential as psychiatric biomarkers.

Purpose of the Study:

• To review the current scientific understanding of sleep spindle characteristics and functions.
• To examine known alterations in sleep spindle activity in psychiatric disorders.
• To discuss methodological approaches for spindle detection and their diagnostic potential.

Main Methods:

• Overview of existing research on sleep spindle characteristics and functions.
• Analysis of sleep spindle alterations in psychiatric conditions.
• Evaluation of manual and automated spindle detection methods.
• Exploration of deep-learning approaches for spindle detection.

Main Results:

• Alterations in sleep spindle activity are documented in psychiatric disorders.
• Current detection methods (manual and automated) are resource-intensive and prone to errors.
• Deep-learning methods offer a promising solution to overcome limitations of traditional detection techniques.

Conclusions:

• The diagnostic utility of sleep spindles in psychiatry requires further determination.
• Advancements in automated spindle detection, particularly deep learning, are crucial for practical biomarker application.
• Improved detection methods could facilitate the use of sleep spindles in clinical psychiatric practice.