Advancing biomarker research: utilizing 'Big Data' approaches for the characterization and prevention of bipolar disorder.

Objective: To provide a strategic framework for the prevention of bipolar disorder (BD) that incorporates a 'Big Data' approach to risk assessment for BD.

Methods: Computerized databases (e.g.

A review of FDA-approved treatment options in bipolar depression.

Objectives/introduction: Herein we review the evidence supporting Food and Drug Administration (FDA) approved and emerging treatments for bipolar depression.

Methods: A PubMed search of all English-language articles published up to July 2013 was conducted. The search terms were quetiapine, olanzapine-fluoxetine, olanzapine, lurasidone, ketamine, modafinil/armodafinil, and lamotrigine.