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- Title
Improving Emotion Regulation Through Real-Time Neurofeedback Training on the Right Dorsolateral Prefrontal Cortex: Evidence From Behavioral and Brain Network Analyses.
- Authors
Yu, Linlin; Long, Quanshan; Tang, Yancheng; Yin, Shouhang; Chen, Zijun; Zhu, Chaozhe; Chen, Antao
- Abstract
We investigated if emotion regulation can be improved through self-regulation training on non-emotional brain regions, as well as how to change the brain networks implicated in this process. During the training period, the participants were instructed to up-regulate their right dorsolateral prefrontal cortex (rDLPFC) activity according to real-time functional near-infrared spectroscopy (fNIRS) neurofeedback signals, and there was no emotional element. The results showed that the training significantly increased emotion regulation, resting-state functional connectivity (rsFC) within the emotion regulation network (ERN) and frontoparietal network (FPN), and rsFC between the ERN and amygdala; however, training did not influence the rsFC between the FPN and the amygdala. However, self-regulation training on rDLPFC significantly improved emotion regulation and generally increased the rsFCs within the networks; the rsFC between the ERN and amygdala was also selectively increased. The present study also described a safe approach that may improve emotion regulation through self-regulation training on non-emotional brain regions.
- Subjects
EMOTION regulation; PREFRONTAL cortex; BIOFEEDBACK training; NEAR infrared spectroscopy; FUNCTIONAL connectivity
- Publication
Frontiers in Human Neuroscience, 2021, Vol 15, pN.PAG
- ISSN
1662-5161
- Publication type
Article
- DOI
10.3389/fnhum.2021.620342