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Reduced task-switching flexibility in parietal-cingulate and frontal circuits associated with brooding.

Selena Singh1, Saurabh Bhaskar Shaw2, Suzanna Becker1

  • 1Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON Canada.

Cognitive Neurodynamics
|February 23, 2026
PubMed
Summary
This summary is machine-generated.

Ruminative brooding may be a neural attractor state. Brain activity during brooding shows convergence and resistance to change, suggesting a stable, self-perpetuating mental state.

Keywords:
Attractor statesBroodingElectroencephalographyRuminationTri-network perspective

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Computational Psychiatry

Background:

  • Ruminative brooding is characterized by persistent, repetitive thought patterns.
  • Current theories link brooding to cognitive control deficits and altered brain network activity, particularly the default mode network (DMN) and prefrontal cortex.
  • Understanding the neural mechanisms of brooding's perseverative nature is crucial for developing effective interventions.

Purpose of the Study:

  • To conceptualize ruminative brooding as a neural attractor state within the DMN.
  • To investigate whether brain dynamics during brooding exhibit properties of attractors: convergence and resistance to perturbation.
  • To explore the relationship between trait rumination and these neural dynamics.

Main Methods:

  • Utilized electroencephalography (EEG) in healthy volunteers performing a task-switching protocol.
  • Interleaved tasks included cued rumination, working memory, and autobiographical memory to perturb the neural system.
  • Analyzed beta power in the posterior cingulate cortex and posterior parietal/cingulate cortices, and dorsolateral prefrontal cortex (dlPFC) recruitment.

Main Results:

  • Cued rumination was associated with increased beta power in the posterior cingulate cortex.
  • Disengagement from rumination showed reduced beta power in posterior parietal and cingulate cortices.
  • High trait rumination correlated with impaired disengagement (resistance to perturbation) and reduced dlPFC recruitment.
  • Trait brooding positively associated with reduced variance in posterior parietal/cingulate time series (convergence).

Conclusions:

  • Findings support the conceptualization of brooding-related neural dynamics as pathological attractor states.
  • This attractor framework provides a mechanistic explanation for the perseverative quality of rumination.
  • The study offers novel insights into the neural basis of repetitive negative thinking.