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Resting Brain Functional Networks and Trait Coping.

Veronique Paban1, Claire Deshayes1, Marie-Hélene Ferrer2

  • 11 Aix Marseille Universite , CNRS, LNSC, Marseille, France .

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|September 18, 2018
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Summary
This summary is machine-generated.

Brain network differences emerge based on coping styles. Passive coping is linked to higher brain network integration and local communication, particularly in frontal and parietal areas. Active coping involves the superior temporal gyrus in theta and alpha frequencies.

Keywords:
brief COPE questionnaireelectroencephalographygraph theory analysisstructural equation modeling

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Area of Science:

  • Neuroscience
  • Psychology
  • Cognitive Science

Background:

  • Individual differences in coping strategies significantly impact psychological well-being.
  • Understanding the neural underpinnings of different coping mechanisms is crucial for mental health research.
  • Trait coping styles, whether active or passive, are associated with distinct cognitive and emotional processing patterns.

Purpose of the Study:

  • To investigate the relationship between trait coping styles and resting-state brain network topology using electroencephalography (EEG).
  • To identify specific brain network characteristics associated with active versus passive coping strategies.
  • To explore how coping mechanisms influence brain functional organization.

Main Methods:

  • Electroencephalography (EEG) data were collected from participants during a resting state.
  • Graph theory analysis was applied to EEG data to assess brain network properties at global and nodal levels.
  • Coping styles (active vs. passive) were classified using the Brief Coping Orientation to Problems Experienced questionnaire and structural equation modeling.

Main Results:

  • Passive coping strategies were associated with higher global and local brain network efficiency and transitivity in the delta band.
  • Specific brain regions, including the paracentral lobule and posterior cingulate, showed increased activity in passive coping individuals.
  • Active coping strategies were linked to the superior temporal gyrus in theta and alpha frequency bands.

Conclusions:

  • Trait coping styles are reflected in distinct resting-state brain network architectures.
  • Passive coping is characterized by highly integrated and locally communicative brain networks, suggesting significant emotional load processing.
  • Active coping involves specific neural substrates, particularly the superior temporal gyrus, highlighting its role in cognitive flexibility.