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Developing a Rat Model for Bipolar Disorder
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Dimensional Affective Processing in BD.

Marta Migó1, Kendra Simpson1, Amy Peters1

  • 1Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Bldg. 149, 13th Street, 10th Floor, Charlestown, Boston, MA 02129, United States.

Psychiatry Research
|December 13, 2021
PubMed
Summary
This summary is machine-generated.

Dimensional analysis of mood symptoms in bipolar disorder (BD) reveals distinct neural responses to affective stimuli. Understanding symptom severity is key to explaining brain activity variations in BD.

Keywords:
Affective processingBipolar disorderDepressionManiafMRI

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Affective Science

Background:

  • Bipolar disorder (BD) is characterized by altered neural processing of emotions.
  • Previous studies comparing BD patients to controls show inconsistent results, potentially due to symptom heterogeneity.

Purpose of the Study:

  • To investigate the relationship between depressive and manic symptom severity and neural responses to affective stimuli in BD.
  • To examine how individual differences in symptom severity explain variations in brain activation patterns.

Main Methods:

  • 39 participants with BD underwent fMRI while performing a cognitive-affective task.
  • Multiple regression analysis in SPM identified brain regions correlated with depression and mania severity.
  • A-priori anatomical regions of interest (ROIs) were defined in frontal, parietal, and limbic areas.

Main Results:

  • Depression severity correlated with increased activation in frontal, parietal, and limbic ROIs across all valences.
  • Mania severity showed mixed correlations with activation (increased and decreased), particularly in frontal regions during positive stimuli processing.

Conclusions:

  • Dimensional modeling of symptom severity in BD captures significant variance in neural responses to affect.
  • Accounting for symptom variability is crucial for future fMRI studies on bipolar disorder and may resolve inconsistencies in group-level comparisons.