Neural field theory (NFT) can model brain activity across different states of consciousness. By fitting a corticothalamic NFT model to EEG data from healthy individuals and patients with disorders of consciousness, researchers identified correlations between NFT parameters and features of both experimental and simulated EEG. These correlations distinguish healthy from impaired consciousness and point to potential physiological biomarkers. The findings clarify how consciousness levels are represented in the NFT framework and highlight its value for in-silico experimentation in consciousness research.
Neural field theory (NFT) may serve as a computational framework for representing states of consciousness, though its parameters' connection to consciousness levels is not yet clear. Prior work has shown NFT can distinguish normal from pathological consciousness states.