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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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 Stimulation (TMS).

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Dynamic coactivation patterns during repetitive negative thinking: A cross-sectional fMRI study.

Marvin Sören Meiering1,2, Emily Belleau3,4, David Weigner1,2

  • 1Institute of Neuroscience and Biopsychology for Clinical Application, MSB Medical School Berlin, Rüdesheimer Straße 50, 14197, Berlin, Germany.

Psychological Medicine
|March 5, 2026
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Summary
This summary is machine-generated.

High neuroticism may buffer against repetitive negative thinking (RNT) by altering default mode network (DMN) and salience network (SAL) dynamics. Disrupted network interactions, however, may increase RNT vulnerability.

Keywords:
default mode networkfMRIfrontoparietal networkneuroticismrepetitive negative thinkingsalience network

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Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Psychiatry

Background:

  • Repetitive negative thinking (RNT) and neuroticism are established risk factors for internalizing psychopathology.
  • Previous research has primarily examined the interaction between RNT and neuroticism at the self-report level.
  • Neural correlates of this interaction, particularly during negative self-referential processing, remain underexplored.

Purpose of the Study:

  • To investigate the interaction between trait RNT and neuroticism.
  • To examine neural network dynamics during negative self-referential processing.
  • To elucidate the neural underpinnings of RNT and neuroticism interplay.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was employed in 110 healthy subjects.
  • Dynamic coactivation pattern (CAP) analysis quantified neural network dynamics.
  • Trait RNT and neuroticism levels were assessed via self-report questionnaires.

Main Results:

  • Negative interactions between RNT and neuroticism were observed in the default mode network (DMN) and salience network (SAL) CAPs.
  • High neuroticism individuals showed a negative association between RNT and DMN/SAL CAP dynamics.
  • Trait RNT correlated positively with persistence and counts of hybrid frontoparietal network (FPN)+DMN coactivation states.

Conclusions:

  • Increased engagement with SAL and DMN CAPs in high neuroticism individuals may confer resilience to RNT.
  • Concurrent activation of functionally antagonistic networks (e.g., FPN+DMN) suggests disrupted network segregation in RNT-prone individuals.
  • These findings highlight the role of neural network dynamics in the interplay between neuroticism and RNT.