Qi Rui See, Kausar Raheel, Iain Duncan, Nazanin Biabani, Irene Di Giulio, Andrea Romigi, Veena Kumari, David O'Regan, Scott Cairney, Daniele Urso, K Ray Chaudhuri, Valentina Gnoni, Panagis Drakatos, Ivana Rosenzweig
BACKGROUND: Speech graph analysis (SGA) of dreams has recently shown promise as an objective and language-invariant diagnostic tool that can aid neuropsychiatric diagnosis. Whilst the notion that dreaming mentations reflect distinct physiologic processes is not new, such studies in patients with sleep disorders remain exceptionally scarce. Here, using SGA and other dream content analyses, we set to investigate structural and thematic differences in morning dream recalls of patients diagnosed with Non-Rapid Eye Movement Parasomnia (NREMP) and Idiopathic REM Sleep Behavior Disorder (iRBD)...
2024: Nature and Science of Sleep