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Review
. 2016;3(4):315-329.
doi: 10.1007/s40501-016-0093-6. Epub 2016 Oct 20.

Neurobiology of Risk for Bipolar Disorder

Affiliations
Review

Neurobiology of Risk for Bipolar Disorder

Ayşegül Özerdem et al. Curr Treat Options Psychiatry. 2016.

Abstract

Bipolar disorder (BD) is a chronic mental illness which follows a relapsing and remitting course and requires lifetime treatment. The lack of biological markers for BD is a major difficulty in clinical practice. Exploring multiple endophenotypes to fit in multivariate genetic models for BD is an important element in the process of finding tools to facilitate early diagnosis, early intervention, prevention of new episodes, and follow-up of treatment response in BD. Reviewing of studies on neuroimaging, neurocognition, and biochemical parameters in populations with high genetic risk for the illness can yield an integrative perspective on the neurobiology of risk for BD. The most up-to-date data reveals consistent deficits in executive function, response inhibition, verbal memory/learning, verbal fluency, and processing speed in risk groups for BD. Functional magnetic resonance imaging (fMRI) studies report alterations in the activity of the inferior frontal gyrus, medial prefrontal cortex, and limbic areas, particularly in the amygdala in unaffected first-degree relatives (FDR) of BD compared to healthy controls. Risk groups for BD also present altered immune and neurochemical modulation. Despite inconsistencies, accumulating data reveals cognitive and imaging markers for risk and to a less extent resilience of BD. Findings on neural modulation markers are preliminary and require further studies. Although the knowledge on the neurobiology of risk for BD has been inadequate to provide benefits for clinical practice, further studies on structural and functional changes in the brain, neurocognitive functioning, and neurochemical modulation have a potential to reveal biomarkers for risk and resilience for BD. Multimodal, multicenter, population-based studies with large sample size allowing for homogeneous subgroup analyses will immensely contribute to the elucidation of biological markers for risk for BD in an integrative model.

Keywords: Bipolar disorder; Brain imaging; Endophenotype; Neurocognition; Oxidative stress; Relatives; Risk.

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Conflict of interest statement

Compliance with Ethical StandardsConflict of InterestDr. Özerdem and Dr. Ceylan receive research support from the Scientific and Technological Research Council of Turkey (TUBITAK). Dr. Özerdem and Dr. Can receive research support from the Dokuz Eylül University Scientific Research Projects Coordination Unit.Human and Animal Rights and Informed ConsentThis article does not contain any studies with human or animal subjects performed by any of the authors.

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