Connectivity based Real-Time fMRI Neurofeedback Training in Youth with a History of Major Depressive Disorder
Xiaofu He, Diana Rodriguez Moreno, Zhenghua Hou, Keely, Cheslack-Postava, Yanni Jiang, Tong Li, Ronit Kishon, Larry Amsel, George, Musa, Zhishun Wang, Christina W. Hoven

TL;DR
This study explores the use of connectivity-based real-time fMRI neurofeedback targeting amygdala-prefrontal cortex connectivity to improve emotion regulation in youth with a history of major depressive disorder, showing promising preliminary results.
Contribution
It introduces a novel connectivity-based neurofeedback approach focusing on amygdala-prefrontal connectivity in MDD, comparing effects between healthy controls and affected youth.
Findings
Decreased amygdala-prefrontal connectivity in MDD group across training
Increased frontal cortex activation in healthy controls during training
Reduction in negative affect scores after neurofeedback in all participants
Abstract
Background: Real-time functional magnetic resonance imaging neurofeedback (rtfMRI-nf) has proven to be a powerful technique to help subjects to gauge and enhance emotional control. Traditionally, rtfMRI-nf has focused on emotional regulation through self-regulation of amygdala. Recently, rtfMRI studies have observed that regulation of a target brain region is accompanied by connectivity changes beyond the target region. Therefore, the aim of present study is to investigate the use of connectivity between amygdala and prefrontal regions as the target of neurofeedback training in healthy individuals and subjects with a life-time history of major depressive disorder (MDD) performing an emotion regulation task. Method: Ten remitted MDD subjects and twelve healthy controls (HC) performed an emotion regulation task in 4 runs of rtfMRI-nf training followed by one transfer run without…
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Taxonomy
TopicsFunctional Brain Connectivity Studies
