Following from my previous question on thermo-qubit dynamics, entropic scaling, and protein-level fluctuation interference, I’m curious about the application of Fourier analysis to EEG intermittency spikes as a potential biomarker for conscious intentionality.

In several theoretical frameworks, Dynamic Organicity Theory (Poznanski et al.), Oscillatory Dynamics Transductive-Bridging Theorem (ODTBT), and related models, intentionality is not encoded cognitively, but emerges from self-referential reorganization of oscillatory redundancy structures, often through nonlinear or non-instantaneous interference patterns.

From this perspective, intermittency spikes in EEG, especially those that appear phase-coupled across scales, could reflect moments of intentional phase alignment. Applying Fourier transforms may reveal nested harmonic components (or "consciousness codes") linked to:

• Transitions across oscillatory thresholds (e.g., TWISTs)
• Reduction of uncertainty via path selection
• Spontaneous ordering in negentropic, non-equilibrium systems

I’d like to ask:

• Are intermittency spikes in EEG/MEG data used in any studies as non-representational markers of volition, awareness, or path selection?
• Has Fourier-based frequency decomposition been linked to intentional shifts rather than sensory or motor correlates?
• What are the limitations of linear transforms in capturing phase-locked or nested, multiscale field behavior in these contexts?

Any perspectives on analytical methods, signal processing tools, or related neurophenomenological research would be most appreciated.