Predictability of Seasonal Mood Fluctuations Based on Self-Report Questionnaires and EEG Biomarkers in a Non-clinical Sample

• Published in: Frontiers in psychiatry Vol. 13; p. 870079
• Main Authors: Höller, Yvonne, Urbschat, Maeva Marlene, Kristófersson, Gísli Kort, Ólafsson, Ragnar Pétur
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 08.04.2022
• Subjects: cognitive vulnerabilities; EEG biomarkers; machine learning; prediction; Psychiatry; seasonal affective disorder winter depression; seasonal mood fluctuations; EEG biomarkers; prediction; seasonal affective disorder winter depression; seasonal mood fluctuations; machine learning; cognitive vulnerabilities

Induced by decreasing light, people affected by seasonal mood fluctuations may suffer from low energy, have low interest in activities, experience changes in weight, insomnia, difficulties in concentration, depression, and suicidal thoughts. Few studies have been conducted in search for biological p...