Neural field modeling and analysis of consciousness states in the brain.
Neuroscience of consciousness – January 01, 2025
Source: PubMed
Summary
Neural field theory (NFT) offers a powerful lens for understanding consciousness, successfully differentiating healthy brains from those with disorders of consciousness. By fitting an NFT model to EEG data, clear correlations emerged between model parameters and the neural correlates of consciousness. This neural activity modeling illuminates how consciousness levels are represented within the NFT framework, offering valuable insights into brain dynamics across normal and pathological states. It pinpoints potential biomarkers, underscoring NFT's utility for advancing consciousness research.
Abstract
Understanding the neural correlates of consciousness remains a central challenge in neuroscience. In this study, we explore the potential of neural field theory (NFT) as a computational framework for representing consciousness states. While prior research has validated NFT's capacity to differentiate between normal and pathological states of consciousness, the relationship of its parameters to the representation of consciousness states remains unclear. Here, we fitted a corticothalamic NFT model to the electroencephalography (EEG) data collected from healthy individuals and patients with disorders of consciousness. We then comprehensively explored the correlations between the fitted NFT parameters and features extracted from both experimental and simulated EEG data across various states of consciousness. The identified correlations not only highlight the model's ability to differentiate between healthy and impaired states of consciousness, but also shed light on the physiological bases of these states, pinpointing potential biomarkers. Our results provide valuable insights into how consciousness levels are represented within the NFT framework and into the dynamics of brain activity across normal and pathological states of consciousness. This underscores the potential of NFT as a useful tool for consciousness research, facilitating in-silico experimentation.