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Related Concept Videos

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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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Borderline Personality Disorder is a complex and multifaceted mental health condition characterized by pervasive instability in interpersonal relationships, self-image, emotions, and impulse control. This instability manifests in extreme emotional reactions, fear of abandonment, and self-destructive behaviors. The disorder significantly impacts daily functioning, often leading to distress in both personal and professional domains.
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Exploring the Neural Correlates of Cognitive Reappraisal in Obsessive-Compulsive Disorder Using Task-based Functional Magnetic Resonance Imaging
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Impaired Self-Referential Cognitive Processing in Bipolar Disorder: A Functional Connectivity Analysis.

Jian Zhang1, Tiantian Liu2, Zhongyan Shi2

  • 1School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China.

Frontiers in Aging Neuroscience
|February 24, 2022
PubMed
Summary
This summary is machine-generated.

Bipolar disorder impairs brain connectivity, affecting self-reflection. This study reveals altered network properties in patients, suggesting difficulties in integrating cognitive resources for self-processing.

Keywords:
bipolar disorderfunctional connectivitymachine learning classificationphase lag indexsocial cognitive processing

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Cognitive Science

Background:

  • Bipolar disorder is associated with deficits in self-referenced information processing.
  • Brain functional connectivity during social cognitive processing in bipolar disorder remains unclear.

Purpose of the Study:

  • To investigate brain functional connectivity during self-referential processing in bipolar disorder using electroencephalography (EEG).
  • To analyze network properties and identify differences between patients with bipolar disorder and healthy controls.

Main Methods:

  • Recorded EEG data from 23 patients with bipolar disorder and 19 healthy controls.
  • Analyzed time-frequency EEG power and used phase lag index for functional connectivity across four frequency bands.
  • Applied graph theoretic analysis to assess network properties during self, other, and font reflection conditions.

Main Results:

  • Patients with bipolar disorder exhibited weaker EEG response power and phase lag index values globally during self and other reflection.
  • Self-reflection processing in patients showed increased characteristic path length and decreased global efficiency and node degree.
  • High classification accuracy was achieved when discriminating patients from controls based on EEG network properties.

Conclusions:

  • Bipolar disorder impedes the integration of attention, memory, and other cognitive resources across the whole brain.
  • This results in reduced efficiency and ability in self-referential processing for individuals with bipolar disorder.