Bipolar disorder (BD) is a highly prevalent disorder featuring pathological mood fluctuations, which are still precariously identified with subjective retrospective reports and scales. Despite pharmacological treatments being quite efficacious, variability in response is poorly understood. Biomarkers capable of identifying illness activity and predicting treatment response may enable a better definition of criteria to establish timely and personalized treatments. Digital biomarkers able to provide real-time patient monitoring will help optimize safe and time-effective patient management. Electrodermal activity (EDA) hyporeactivity - denoting autonomic dysfunction- has long been recognized as a strong predictive biomarker for both unipolar and bipolar depression as well as suicidal behavior. However, until a few years ago, capturing EDA was only possible with costly and complex laboratory equipment. Novel research-grade wearables now allow to continuously capture of EDA in addition to actigraphy and heart rate variability (HRV), which are also closely linked to BD illness activity while reporting real-time data of these patients.
Team: Gerard Anmella, Filippo Corponi, Bryan M. Li, Ariadna Mas, Miriam Sanabra, Isabella Pacchiarotti, Marc Valentí, Iria Grande, Antoni Benabarre, Anna Giménez-Palomo, Marina Garriga, Isabel Agasi, Anna Bastidas, Myriam Cavero, Tabatha Fernández-Plaza, Nestor Arbelo, Miquel Bioque, Clemente García-Rizo, Norma Verdolini, Santiago Madero, Andrea Murrru, Silvia Amoretti, Anabel Martínez-Aran, Victoria Ruiz, Giovanna Fico, Michele De Prisco, Vincenzo Oliva, Aleix Solanes, Joaquim Radua, Ludovic Samalin, Allan Young, Eduard Vieta, Antonio Vergari, Diego Hidalgo-Mazzei.
Contact: Diego Hidalgo-Mazzei dahidalg@clinic.cat
