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Related Concept Videos

Bipolar Disorder01:30

Bipolar Disorder

398
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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Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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Modeling the Functional Network for Spatial Navigation in the Human Brain
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Structural brain network differences in bipolar disorder using with similarity-based approach.

Miho Ota1, Takamasa Noda2, Noriko Sato3

  • 1Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo187-8502, Japan.

Acta Neuropsychiatrica
|December 22, 2020
PubMed
Summary

This study reveals altered brain connectivity in bipolar disorder (BD) patients compared to healthy individuals, identifying specific regions with reduced structural connectivity. These findings may aid in the objective diagnosis of bipolar disorder.

Keywords:
bipolar disorderclustering coefficientdegreesmall world propertystructural brain network

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Medical Imaging

Background:

  • Bipolar disorder (BD) is characterized by differences in brain structure and function compared to healthy individuals.
  • Structural connectivity in BD remains less understood.
  • Previous research highlights regional variations but lacks detailed network analysis.

Purpose of the Study:

  • To investigate disease-related changes in regional structural connectivity in bipolar disorder.
  • To compare structural brain networks between BD patients and healthy controls.
  • To explore correlations between clinical symptoms and network metrics in BD.

Main Methods:

  • Utilized 3-Tesla MRI scans from 73 BD patients and 80 healthy volunteers.
  • Computed network metrics, including small-world properties, degree, betweenness centrality, and clustering coefficient.
  • Performed individual brain image rendering and statistical comparisons.

Main Results:

  • BD patients exhibited a lower clustering coefficient in the right parietal and left occipital regions compared to healthy subjects.
  • A weak negative correlation was observed between the Young Mania Rating Scale and clustering coefficient in the left anterior cingulate cortex.
  • Differences in gray matter structural connectivity were identified using a similarity-based approach.

Conclusions:

  • Structural connectivity in gray matter differs between bipolar disorder patients and healthy individuals.
  • These connectivity alterations may serve as objective biomarkers for BD diagnosis.
  • The findings contribute to understanding the neurobiological underpinnings of bipolar disorder.