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A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder
(2018)
Mobile technologies offer new opportunities for prospective, high resolution monitoring of long-term health
conditions. The opportunities seem of particular promise in psychiatry where diagnoses often rely on retrospective
and ...
Experiences of remote mood and activity monitoring in bipolar disorder: a qualitative study
(2017-01)
Mobile technology enables high frequency mood monitoring and automated passive collection of date(e.g.actigraphy) from patients more efficiently and less intrusively than has previously been possible. Such techniques are ...
Actigraphic patterns, impulsivity and moodinstability in bipolar disorder, borderlinepersonality disorder and healthy controls.
(2020-01)
Objectives:To differentiate the relation between the structure and timing of rest-activity patterns and symptoms of impulsivity and mood instability in bipolar disorder (BD), borderline personality disorder(BPD) and healthy ...
Mood Homeostasis, Low Mood, and History of Depression in 2 Large Population Samples
(2020-04)
Importance Existing therapeutic options are insufficient to tackle the disease burden of depression, and new treatments are sorely needed. Defining new psychotherapeutic targets is challenging given the paucity of coherent ...
Efficacy of digital cognitive behavioral therapy for moderate to severe symptoms of generalized anxiety disorder: A randomized controlled trial
(2020-07)
Cognitive behavioral therapy (CBT) is an efficacious intervention for generalized anxiety disorder (GAD). Digital CBT may provide a scalable means of delivering CBT at a population level. We investigated the efficacy of a ...
Characterizing Affective Variability in Bipolar Disorder and Borderline Personality Disorder, and the Effects of Lithium, Using a Generative Model of Affect
(2022-02)
The affective variability of Bipolar Disorder (BD) is thought to qualitatively differ from that of Borderline Personality Disorder (BPD), with changes in affect persisting for longer in BD. However, quantitative studies ...
Identifying psychiatric diagnosis from missing mood data through the use of log-signature features
(2022-11)
The availability of mobile technologies has enabled the efficient collection of prospective longitudinal, ecologically valid self-reported clinical questionnaires from people with psychiatric diagnoses. These data streams ...