Prospective early warning signals to detect transitions to manic and depressive episodes in bipolar disorder

F Bos, M Schreuder, B Doornbos, E Snippe… - European …, 2021 - cambridge.org
IntroductionFor patients with bipolar disorder, early recognition of impending mood episodes
is crucial to enable timely intervention. Longitudinal digital mood monitoring using …

Anticipating manic and depressive transitions in patients with bipolar disorder using early warning signals

FM Bos, MJ Schreuder, SV George, B Doornbos… - International Journal of …, 2022 - Springer
Background In bipolar disorder treatment, accurate episode prediction is paramount but
remains difficult. A novel idiographic approach to prediction is to monitor generic early …

Efficacy of early warning signals and spectral periodicity for predicting transitions in bipolar patients: An actigraphy study

YK Kunkels, H Riese, SE Knapen… - Translational …, 2021 - nature.com
Early-warning signals (EWS) have been successfully employed to predict transitions in
research fields such as biology, ecology, and psychiatry. The predictive properties of EWS …

Early warning signs checklists for relapse in bipolar depression and mania: utility, reliability and validity

F Lobban, I Solis-Trapala, W Symes, R Morriss… - Journal of affective …, 2011 - Elsevier
BACKGROUND: Recognising early warning signs (EWS) of mood changes is a key part of
many effective interventions for people with Bipolar Disorder (BD). This study describes the …

Clinical and demographic features associated with the detection of early warning signs in bipolar disorder

T Perich, PB Mitchell, C Loo, D Hadzi-Pavlovic… - Journal of affective …, 2013 - Elsevier
AIM: The detection of early warning signs is a major component of many psychological
interventions for assisting in the management of bipolar disorder. The aim of this study was …

Early warning signals observed in motor activity preceding mood state change in bipolar disorder

P Jakobsen, U Côté‐Allard, MA Riegler… - Bipolar …, 2024 - Wiley Online Library
Introduction Alterations in motor activity are well‐established symptoms of bipolar disorder,
and time series of motor activity can be considered complex dynamical systems. In such …

Evidence for severe mood instability in patients with bipolar disorder: Applying multilevel hidden Markov modelling to intensive longitudinal ecological momentary …

SM Moraga, F Bos, B Doornbos, R Bruggeman… - osf.io
Background. Bipolar disorder (BD) is a chronic psychiatric condition characterized by large
episodic changes in mood and energy. Recently, BD has been proposed to be …

Evidence for severe mood instability in patients with bipolar disorder: Applying multilevel hidden Markov modelling to intensive longitudinal ecological momentary …

FM Bos, B Doornbos, R Bruggeman, L van der Krieke… - 2023 - europepmc.org
Background. Bipolar disorder (BD) is a chronic psychiatric condition characterized by large
episodic changes in mood and energy. Recently, BD has been proposed to be …

[PDF][PDF] Evidence for mood instability in patients with bipolar disorder: Applying multilevel hidden Markov modelling to intensive longitudinal ecological momentary …

SM Moraga, FM Bos, B Doornbos, R Bruggeman… - 2024 - osf.io
Background. Bipolar disorder (BD) is a chronic psychiatric condition characterized by large
episodic changes in mood and energy. Recently, BD has been proposed to be …

What are the Elements to Target the Anticipatory Signs of Bipolar Disorder Before Diagnosis?

M Bourin - The Archives of Psychiatry, 2024 - scientificarchives.com
Being able to anticipate the discovery of a disease in a given individual remains a clinical
challenge. In the case of bipolar disorder (BD), the prodromal phase can be relatively long …