Massive Feature Extraction of NREM Polysomnography Data to Identify Markers of Dream Mentation

This thesis applies a comprehensive toolbox which includes statistical analyses methods derived from various scientific fields to identify potential novel markers of dreaming. The core component of this thesis consists of a registered report which discovers a preliminary set of promising features. The reliably and generalizability of these features will be examined across multiple datasets in subsequent phases of a broader project.