A paper on research by Emily Holmes and her team on using applications of time-series analysis to mood fluctuations in bipolar disorder to promote treatment innovation has been published in Nature.
The findings offer preliminary support for a new imagery-focused treatment approach. They also indicate a step in treatment innovation without the requirement for trials in illness episodes or relapse prevention. Importantly, daily measurement offers a description of mood instability at the individual patient level in a clinically meaningful time frame.
The full paper can be read here