Process-based framework for precise neuromodulation.

Area of Science:

• Neuroscience
• Psychiatry
• Brain-Computer Interfaces

Background:

• Functional MRI neurofeedback (fMRI-NF) shows promise for psychiatric interventions by enabling self-modulation of neural patterns.
• Clinical translation of fMRI-NF is hindered by unstandardized methods, poorly neurobiologically grounded clinical definitions, and a lack of unifying experimental frameworks.

Purpose of the Study:

• To introduce a novel framework, 'process-based NF', for precise and effective psychiatric treatments.
• To establish a neurobiologically informed approach for psychiatric interventions using neurofeedback.

Main Methods:

• Characterizing mental dysfunctions based on underlying mental processes.
• Targeting specific dysfunctional processes by modifying their neural mechanisms.
• Employing process-specific contextual feedback interfaces and robust control conditions.

Main Results:

• The proposed 'process-based NF' framework offers a structured approach to neurofeedback.
• This framework addresses methodological shortcomings in current neurofeedback practices.
• It facilitates precise and personalized neuromodulation for psychiatric conditions.

Conclusions:

• Process-based NF provides a unifying framework for developing targeted neurofeedback interventions.
• This approach enhances the clinical applicability of neurofeedback in psychiatry.
• It paves the way for more precise and personalized brain-guided therapeutic strategies.