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Related Concept Videos

Bipolar Disorder01:30

Bipolar Disorder

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Bipolar disorder is a chronic mental health condition marked by significant mood fluctuations, including episodes of mania and depression. Elevated energy levels, heightened mood or irritability, impulsive behavior, reduced sleep needs, rapid speech, racing thoughts, inflated self-esteem, and distractibility characterize mania. Individuals with bipolar disorder often alternate between depressive and manic states, with periods of emotional stability lasting an average of six months to a year.
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Mania and Antimanic Drugs: Overview01:24

Mania and Antimanic Drugs: Overview

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Mania, a psychological condition characterized by elevated mood, increased energy, and reduced sleep need, is part of the bipolar disorder cycle. The exact cause of mania isn't entirely known, but it is thought to be a combination of genetic, environmental, and neurological factors. Bipolar disorder involves alternating manic and depressive episodes. Mood stabilizers like lithium, antipsychotics, and anticonvulsants help manage these episodes. Lithium carbonate is particularly effective as...
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Diagnostic and Statistical Manual of Mental Disorders (DSM)01:27

Diagnostic and Statistical Manual of Mental Disorders (DSM)

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The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...
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Human Genetics01:28

Human Genetics

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
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Depressive Disorders: MDD and Dysthymia01:27

Depressive Disorders: MDD and Dysthymia

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Depressive disorders are a group of mental health conditions characterized by pervasive feelings of sadness, diminished pleasure in life, and a significant impact on daily functioning. These conditions are most prevalent in individuals during their 30s and affect women at twice the rate of men. Contrary to popular belief, younger individuals are generally more susceptible to these disorders than older adults. Two key types of depressive disorders include Major Depressive Disorder (MDD) and...
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Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

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Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
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Updated: Mar 22, 2026

Developing a Rat Model for Bipolar Disorder
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Big data for bipolar disorder.

Scott Monteith1, Tasha Glenn2, John Geddes3

  • 1Michigan State University College of Human Medicine, Traverse City Campus, 1400 Medical Campus Drive, Traverse City, MI, 49684, USA.

International Journal of Bipolar Disorders
|April 13, 2016
PubMed
Summary
This summary is machine-generated.

Big data is transforming psychiatric care, especially for bipolar disorder treatment. Integrating diverse data sources like electronic medical records and patient-generated data will improve health policy and disease insights.

Keywords:
Big dataBipolar disorderClaimsEMRPatient monitoringRegistries

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Olfactory Neurons Obtained through Nasal Biopsy Combined with Laser-Capture Microdissection: A Potential Approach to Study Treatment Response in Mental Disorders
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Area of Science:

  • Psychiatric care transformation
  • Big data analytics in healthcare
  • Population health management

Background:

  • Psychiatric care is evolving towards integrated, preventative, and biologically-informed models.
  • Big data and advanced analytics are crucial for this transformation.
  • The abstract focuses on the impact of big data on bipolar disorder treatment.

Purpose of the Study:

  • To discuss the current and future impact of big data on bipolar disorder treatment.
  • To highlight the role of big data in health policy, discovery of new associations, and studying rare events.
  • To outline the evolution of data sources in psychiatric research.

Main Methods:

  • Analysis of primary data sources: electronic medical records (EMR), claims, and registry data.
  • Integration of future data streams: patient-generated data (active/passive monitoring), sensor data, and external data (e.g., financial data).
  • Long-term integration of genetic and imaging data with EMR for predictive modeling.

Main Results:

  • Big data applications in bipolar disorder include informing health policy, identifying novel associations, and analyzing rare events.
  • Future data integration will enhance EMR capabilities with patient-generated and external data.
  • Predictive models will become more prominent with the inclusion of genetic and imaging data.

Conclusions:

  • Big data presents significant opportunities for advancing psychiatric care and bipolar disorder treatment.
  • Challenges in big data analysis include data size, heterogeneity, complexity, and unstructured text.
  • Active participation of psychiatrists and human judgment are essential for effective big data analysis in psychiatry.