In functional MRI (fMRI) neurofeedback, a closed-loop brain-computer interface enables participants to learn how to self-regulate brain activity using real-time feedback.
This method is gaining traction in both scientific and clinical settings. Several 3T MRI studies have shown the promise of this approach as an add-on treatment for depression, helping patients improve emotion regulation and self-efficacy.
Conventional neurofeedback cannot distinguish specific emotions. It is therefore unclear whether a patient is engaging in a positive or negative emotional mental state. To address this ambiguity, a new semantic neurofeedback approach maps individual emotions onto a two-dimensional space, visualizing the current emotional state as a moving point on this map.
This technique allows participants to actively navigate their emotional space, offering clearer and potentially more effective therapy for depression. A 7-Tesla proof-of-concept study shows promise for this new real-time fMRI neurofeedback method.
#Neurofeedback for Treating #Depression: An Emerging Application of Real-Time Functional #MRI by Dr. rer. nat. Rainer Goebel & David Linden, MD (@maastrichtu.bsky.social).
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