Time for united action on depression: a Lancet–World Psychiatric Association Commission

H Herrman, V Patel, C Kieling, M Berk, C Buchweitz… - The Lancet, 2022 - thelancet.com
Executive summary “Depression is a disorder of mood, so mysteriously painful and elusive
in the way it becomes known to the self—to the mediating intellect—as to verge close to …

Microbiota–gut–brain axis mechanisms in the complex network of bipolar disorders: potential clinical implications and translational opportunities

MA Ortega, MA Álvarez-Mon, C García-Montero… - Molecular …, 2023 - nature.com
Bipolar disorders (BD) represent a severe leading disabling mental condition worldwide
characterized by episodic and often progressive mood fluctuations with manic and …

Digital health developments and drawbacks: a review and analysis of top-returned apps for bipolar disorder

S Lagan, A Ramakrishnan, E Lamont… - International Journal of …, 2020 - Springer
Background Although a growing body of literature highlights the potential benefit of
smartphone-based mobile apps to aid in self-management and treatment of bipolar disorder …

A systematic review of engagement reporting in remote measurement studies for health symptom tracking

KM White, C Williamson, N Bergou, C Oetzmann… - NPJ Digital …, 2022 - nature.com
Abstract Remote Measurement Technologies (RMTs) could revolutionise management of
chronic health conditions by providing real-time symptom tracking. However, the promise of …

Portable technologies for digital phenotyping of bipolar disorder: A systematic review

LF Saccaro, G Amatori, A Cappelli, R Mazziotti… - Journal of affective …, 2021 - Elsevier
Background Bias-prone psychiatric interviews remain the mainstay of bipolar disorder (BD)
assessment. The development of digital phenotyping promises to improve BD management …

[HTML][HTML] Predicting clinically relevant changes in bipolar disorder outside the clinic walls based on pervasive technology interactions via smartphone typing dynamics

CC Bennett, MK Ross, EG Baek, D Kim… - Pervasive and Mobile …, 2022 - Elsevier
Modeling smartphone keyboard dynamics as the foundation of an early warning system
(EWS) for mood instability holds potential to expand the reach of healthcare beyond the …

Status of Type II vs. Type I bipolar disorder: systematic review with meta-analyses

CV Hernandorena, RJ Baldessarini… - Harvard review of …, 2023 - journals.lww.com
Status of Type II vs. Type I Bipolar Disorder: Systematic Re... : Harvard Review of Psychiatry
Status of Type II vs. Type I Bipolar Disorder: Systematic Review with Meta-Analyses : Harvard …

An emotional-response model of bipolar disorders integrating recent findings on amygdala circuits

M Bigot, M Alonso, J Houenou, S Sarrazin… - Neuroscience & …, 2020 - Elsevier
Because of our classification system limitations for defining psychiatric disorders and
understanding their physiopathology, a new research area based on dimensions has …

Mood instability in patients with newly diagnosed bipolar disorder, unaffected relatives, and healthy control individuals measured daily using smartphones

S Stanislaus, M Faurholt-Jepsen, M Vinberg… - Journal of Affective …, 2020 - Elsevier
Objectives To investigate whether mood instability (MI) qualify as a trait marker for bipolar
disorder (BD) we investigated: 1) differences in smartphone-based self-reported MI between …

Pharmacotherapeutic interventions for bipolar disorder type II: addressing multiple symptoms and approaches with a particular emphasis on strategies in lower and …

B Godman, C Grobler, M Van-De-Lisle… - Expert opinion on …, 2019 - Taylor & Francis
Introduction: Appropriately managing mental disorders is a growing priority across countries
in view of the impact on morbidity and mortality. This includes patients with bipolar disorders …