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Neurofeedback interventions for obsessive-compulsive and related disorders: Current evidence and future directions
Kaixi Zhang1, Lucas Trambaiolli2, Zhiying Zhao3
1Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Neurofeedback (NF) shows promise for treating obsessive-compulsive and related disorders (OCRDs) by enabling self-modulation of brain activity. Decoded neurofeedback (DecNef) offers a more personalized, next-generation approach to target neural circuits effectively.
Area of Science:
- Neuroscience
- Psychiatry
- Neuromodulation
Background:
- Obsessive-compulsive and related disorders (OCRDs) present significant treatment challenges, with many patients showing insufficient response or relapse with conventional therapies.
- Neurofeedback (NF) is an emerging non-invasive neuromodulation technique allowing real-time self-regulation of neural activity.
- Current NF applications in obsessive-compulsive disorder (OCD) show potential but are limited by target heterogeneity and modest clinical effects.
Purpose of the Study:
- To review existing empirical evidence of neurofeedback (NF) for obsessive-compulsive and related disorders (OCRDs).
- To highlight decoded neurofeedback (DecNef) as a potential next-generation NF method for OCRDs.
- To discuss how DecNef can overcome limitations of traditional NF and its translational applications.
Main Methods:
- A narrative review synthesizing empirical evidence from neurofeedback (NF) studies in OCRDs.
- Analysis of conventional electroencephalogram-based (EEG-NF) and functional magnetic resonance imaging-based (fMRI-NF) protocols.
- Exploration of decoded neurofeedback (DecNef) principles, including multivoxel pattern analysis for reinforcing neural representations.
Main Results:
- Conventional EEG-NF and fMRI-NF have demonstrated patients' ability to regulate brain activity, with some reporting symptom improvements in OCD.
- Limitations such as target heterogeneity, lack of personalization, and modest clinical outcomes hinder the efficacy and scalability of current NF methods.
- DecNef offers enhanced precision and personalization by leveraging distributed neural representations, potentially enabling interventions without explicit symptom exposure.
Conclusions:
- Neurofeedback (NF) is a promising neuromodulation strategy for OCRDs, but traditional methods face limitations.
- Decoded neurofeedback (DecNef) represents a significant advancement, offering greater precision and personalization for circuit-level interventions.
- DecNef holds potential for broader translational applications across the OCRD spectrum, advancing precision psychiatry for these conditions.
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