Journal
BIPOLAR DISORDERS
Volume 24, Issue 5, Pages 499-508Publisher
WILEY
DOI: 10.1111/bdi.13198
Keywords
behavior; circadian; ontology; outcomes; personality; psychology
Categories
Funding
- Baszucki Brain Research Fund
- National Alliance on Mental Illness (NAMI)
- Milken Institute Center for Strategic Philanthropy
- HC Prechter Bipolar Research Program
- Richard Tam Foundation
- NIMH [MH114835, UL1TR002240]
- Dauten Family Center for Bipolar Treatment Innovation
- NHMRC Senior Principal Research Fellowship [1156072]
- NIH [R01MH124381]
- Australian NHMRC Investigator Grant [1177991]
- Spanish Ministry of Science and Innovation [PI15/00283, PI18/00805]
- ISCIII-Subdireccion General de Evaluacion
- Fondo Europeo de Desarrollo Regional (FEDER)
- Instituto de Salud Carlos III
- CIBER of Mental Health (CIBERSAM)
- Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement [2017 SGR 1365]
- CERCA Programme
- Departament de Salut de la Generalitat de Catalunya [SLT006/17/00357]
- National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London
- Research Council of Norway [223273]
- National Health and Medical Research Council of Australia [1177991] Funding Source: NHMRC
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Bipolar disorder is a complex condition with onset in late adolescence, complicated by comorbid medical and psychiatric disorders. The etiology and reliable biological markers remain unknown, suggesting the need for large-scale global longitudinal studies to determine causes and improve treatment.
Bipolar disorder (BD) is a complex and dynamic condition with a typical onset in late adolescence or early adulthood followed by an episodic course with intervening periods of subthreshold symptoms or euthymia. It is complicated by the accumulation of comorbid medical and psychiatric disorders. The etiology of BD remains unknown and no reliable biological markers have yet been identified. This is likely due to lack of comprehensive ontological framework and, most importantly, the fact that most studies have been based on small nonrepresentative clinical samples with cross-sectional designs. We propose to establish large, global longitudinal cohorts of BD studied consistently in a multidimensional and multidisciplinary manner to determine etiology and help improve treatment. Herein we propose collection of a broad range of data that reflect the heterogenic phenotypic manifestations of BD that include dimensional and categorical measures of mood, neurocognitive, personality, behavior, sleep and circadian, life-story, and outcomes domains. In combination with genetic and biological information such an approach promotes the integrating and harmonizing of data within and across current ontology systems while supporting a paradigm shift that will facilitate discovery and become the basis for novel hypotheses.
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