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Learning Control Over Emotion Networks Through Connectivity-Based Neurofeedback.

Yury Koush1,2, Djalel-E Meskaldji1,2, Swann Pichon3,4,5

  • 1Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1202 Geneva, Switzerland.

Cerebral Cortex (New York, N.Y. : 1991)
|December 19, 2015
PubMed
Summary
This summary is machine-generated.

This study shows individuals can learn to modify brain networks using connectivity-neurofeedback. This brain training improved emotion regulation and cognitive control, offering potential therapeutic applications.

Keywords:
connectivity-based neurofeedbackdynamic causal modeling (DCM)emotion networks regulationfunctional magnetic resonance imaging (fMRI)positive emotions

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Psychology

Background:

  • Cognitive functions and emotions rely on dynamic interactions within brain networks.
  • Altering these functional brain networks through training may enhance cognitive performance and emotional regulation.

Purpose of the Study:

  • To investigate the potential of a novel functional magnetic resonance imaging (fMRI)-based connectivity-neurofeedback approach to train individuals in altering functional brain networks.
  • To determine if participants can learn to modulate connectivity within the emotion regulation network, specifically top-down control from the dorsomedial prefrontal cortex to the amygdala.
  • To assess the impact of this training on self-regulation capabilities and subjective emotional experiences.

Main Methods:

  • Utilized a novel connectivity-neurofeedback protocol employing fMRI.
  • Trained participants to increase functional connectivity from the dorsomedial prefrontal cortex (cognitive control) to the amygdala (emotion processing).
  • Assessed participants' ability to self-regulate this connectivity post-training, with and without neurofeedback, and measured changes in subjective valence ratings.

Main Results:

  • Participants successfully learned to control and modify functional brain network connectivity, specifically top-down connections within the emotion regulation network.
  • Post-training, participants demonstrated self-regulation of the targeted brain connectivity even without ongoing neurofeedback.
  • This learned self-regulation of brain connectivity was associated with enhanced subjective valence ratings of emotional stimuli.

Conclusions:

  • Connectivity-based neurofeedback is a viable method for noninvasively altering functional brain networks and improving emotion regulation.
  • This approach moves beyond traditional neurofeedback by targeting network interactions directly, leading to specific behavioral changes.
  • The findings suggest that connectivity-based neurofeedback training holds promise for developing effective therapeutic strategies for neuropsychiatric disorders characterized by emotion dysregulation.