Validation of a translatable chronobiological signature of early relapse in bipolar disorder
Grantholders
Prof Greg Murray
Swinburne University of Technology, Australia
Prof Jan Scott
Newcastle University, United Kingdom
Dr Sandipan Ray
Indian Institute of Technology Hyderabad, India
Prof Richard Porter
University of Otago, New Zealand
Dr Fatemeh Hadaeghi
University Medical Center Hamburg-Eppendorf, Germany
Prof Denny Meyer
Swinburne University of Technology, Australia
Project summary
The aim of this multi-national project is to provide a quantum advance in understanding the mechanisms of sleep and circadian rhythm disruption amongst people with established bipolar disorder (BD). Our methodological focus is a high-resolution signal of specific relevance to BD - the 24-hour rest-activity rhythm as measured by actigraphy. Across four work packages, distinct sleep and circadian features from this signal will be parsed through a machine learning approach called network analysis, and validated as a predictor of early relapse amongst inter-episode patients (Study 1 Australia), as a covariate of recovery from acute manic and depressive illness (Study 2 New Zealand), and as a proxy of endogenous circadian pathogenesis of BD (Study 3 India). In the integrative Work Package 4, findings from these complementary investigations will be cross-validated and synthesised into a theoretically and empirically grounded chronobiological signature of early relapse in BD. This biosignature could be the basis for a future automated early warning technology for BD (our long-term goal). Work Package 4 will also generate a new multi-national dataset and data processing pipelines to be shared with future researchers. Our multi-disciplinary team is uniquely qualified to undertake this project in collaboration with our long-standing lived experience collaborators.