Enhancing Infraslow Fluctuation Neurofeedback:

The Integration of sLORETA and Triple Network Theory

The field of neurofeedback has seen constant evolution and refinement of its techniques. One such development is the enhancement of Infraslow Fluctuation (ISF) Neurofeedback through the integration of sLORETA Neurofeedback and the utilization of insights from the Triple Network Theory.

ISF Neurofeedback, developed by Mark Smith, focuses on training the brain to better regulate its slowest oscillations, typically below 0.1 Hz. These oscillations are linked to the brain’s overall regulation of physiological states, arousal, and affect. This technique has shown promise in addressing a variety of conditions, such as sleep disorders, anxiety, depression, and ADHD.

The integration of sLORETA (Standardized Low-Resolution Brain Electromagnetic Tomography) into ISF Neurofeedback adds another layer to this methodology. sLORETA is a sophisticated method of localizing the source of electrical activity within the brain, providing a three-dimensional view of the regions generating specific EEG frequencies. This allows for more targeted and specific neurofeedback interventions.

Combining ISF with sLORETA means that the treatment can be adjusted based on the specific locations in the brain where infraslow oscillations are originating. This makes the neurofeedback process more precise, targeted, and potentially more effective, as it is not just the frequency of the brainwaves that is addressed, but also the specific brain regions from which these waves originate.

The Triple Network Model further enhances this approach. This theory proposes that three major brain networks – the Central Executive Network (CEN), the Salience Network (SN), and the Default Mode Network (DMN) – interact and play critical roles in healthy brain function. Disruptions in these networks have been linked to a variety of psychological and neurological disorders.

In the context of ISF Neurofeedback, the Triple Network Theory can guide the interpretation of EEG data and the formulation of neurofeedback strategies. By understanding how these networks function and interact, practitioners can better understand the brain’s infraslow activity and its impact on overall brain function.

In conclusion, the integration of sLORETA Neurofeedback and insights from the Triple Network Theory represents a significant advancement in ISF Neurofeedback. This approach allows for a more nuanced understanding of brain function and a more targeted approach to intervention, potentially leading to more effective treatment outcomes.

IFEN offers Workshops for this innovative approach in Europe in collaboration with Mark L. Smith