Showing results (151-160 of 189) with videos related to
Sort By:
Pageof 19
International Journal of Bipolar Disorders|September 5, 2018
Internet use by older adults with bipolar disorder: international survey resultsRita Bauer, Tasha Glenn, Sergio Strejilevich, et al.International Journal of Bipolar Disorders|August 25, 2016
Online information seeking by patients with bipolar disorder: results from an international multisite surveyJörn Conell, Rita Bauer, Tasha Glenn, et al.Psychiatry Research|July 9, 2016
Internet use by patients with bipolar disorder: Results from an international multisite surveyRita Bauer, Jörn Conell, Tasha Glenn, et al.Nordic Journal of Psychiatry|July 12, 2017
International multi-site survey on the use of online support groups in bipolar disorderRita Bauer, Jörn Conell, Tasha Glenn, et al.Bipolar Disorders|July 15, 2022
Smartphone-based interventions in bipolar disorder: Systematic review and meta-analyses of efficacy. A position paper from the International Society for Bipolar Disorders (ISBD) Big Data Task ForceGerard Anmella, Maria Faurholt-Jepsen, Diego Hidalgo-Mazzei, et al.Bipolar Disorders|June 26, 2021
Consensus on nomenclature for clinical staging models in bipolar disorder: A narrative review from the International Society for Bipolar Disorders (ISBD) Staging Task ForceRalph Kupka, Anne Duffy, Jan Scott, et al.Translational Psychiatry|January 12, 2021
Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorderAbraham Nunes, William Stone, Raffaella Ardau, et al.Bipolar Disorders|June 18, 2026
Towards an Integrated Staging Model for Bipolar Disorders: An International Society for Bipolar Disorders (ISBD) Staging Task Force Consensus ReportRalph Kupka, Danella Hafeman, Madeleine McCallum, et al.Neuropsychobiology|May 11, 2010
The International Consortium on Lithium Genetics (ConLiGen): an initiative by the NIMH and IGSLI to study the genetic basis of response to lithium treatmentThomas G Schulze, Martin Alda, Mazda Adli, et al.Scientific Reports|January 14, 2021
Prediction of lithium response using genomic dataWilliam Stone, Abraham Nunes, Kazufumi Akiyama, et al.Pageof 19