Early stages of bipolar disorder: characterization and strategies for early intervention

Objective: To characterize the early stages of bipolar disorder (BD), defined as the clinical prodrome/subsyndromal stage and first-episode phase, and strategies for their respective treatment. Methods: A selective literature search of the PubMed, Embase, PsycINFO, and ISI databases from inception until March 2014 was performed. Included in this review were articles that a) characterized prodromal and first-episode stages of BD or b) detailed efficacy and safety/tolerability of interventions in patients considered prodromal for BD or those with only one episode of mania/hypomania. Results: As research has only recently focused on characterization of the early phase of BD, there is little evidence for the effectiveness of any treatment option in the early phase of BD. Case management; individual, group, and family therapy; supportive therapy; and group psychoeducation programs have been proposed. Most evidence-based treatment guidelines for BD do not address treatment specifically in the context of the early stages of illness. Evidence for pharmacotherapy is usually presented in relation to illness polarity (i.e., manic/mixed or depressed) or treatment phase. Conclusions: Although early recognition and treatment are critical to preventing unfavorable outcomes, there is currently little evidence for interventions in these stages of BD

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Early stages of bipolar disorder: characterization and strategies for early intervention

Objective: To characterize the early stages of bipolar disorder (BD), defined as the clinical prodrome/subsyndromal stage and first-episode phase, and strategies for their respective treatment. Methods: A selective literature search of the PubMed, Embase, PsycINFO, and ISI databases from inception until March 2014 was performed. Included in this review were articles that a) characterized prodromal and first-episode stages of BD or b) detailed efficacy and safety/tolerability of interventions in patients considered prodromal for BD or those with only one episode of mania/hypomania. Results: As research has only recently focused on characterization of the early phase of BD, there is little evidence for the effectiveness of any treatment option in the early phase of BD. Case management; individual, group, and family therapy; supportive therapy; and group psychoeducation programs have been proposed. Most evidence-based treatment guidelines for BD do not address treatment specifically in the context of the early stages of illness. Evidence for pharmacotherapy is usually presented in relation to illness polarity (i.e., manic/mixed or depressed) or treatment phase. Conclusions: Although early recognition and treatment are critical to preventing unfavorable outcomes, there is currently little evidence for interventions in these stages of BD