Key research themes
1. What electrophysiological signatures reliably differentiate conscious states in disorders of consciousness?
This research theme focuses on identifying robust neural markers that can discriminate between various clinical states of consciousness, such as vegetative state (VS), minimally conscious state (MCS), and conscious states, by analyzing electrophysiological data, particularly EEG. Accurate differentiation is critical both for theoretical understanding of consciousness and for practical clinical diagnosis and prognosis. Studies explore diverse EEG measures including low-frequency power, complexity, and information exchange, evaluating their ability to classify conscious states automatically and reliably.
2. How do prefrontal cortex and fronto-parietal networks contribute causally to conscious experience?
This theme investigates the role of the prefrontal cortex (PFC) and fronto-parietal networks in both generating and modulating conscious perception. It addresses debates on whether PFC activity is constitutive of consciousness or reflects post-perceptual cognitive functions such as report and decision-making. Research utilizes causal perturbation methods such as intracranial electrical stimulation and intracranial EEG to dissociate neural correlates from enabling or executive processes, clarifying the neural basis underlying conscious perception and report.
3. How can theoretical and methodological advances clarify the neural correlates and mechanisms of consciousness?
This theme emphasizes progress in conceptual frameworks and experimental methodologies that enhance our understanding of consciousness neural correlates and mechanisms. It includes the use of no-report paradigms to dissociate awareness from report-related processes, the adoption of predictive processing frameworks as systematic foundations for NCC identification, integration of connectome harmonic decomposition to capture multi-scale structure-function relationships, and philosophical perspectives (e.g., identity theory) that clarify brain-mind relations. These advances aim to move beyond correlational findings to mechanistic and explanatory accounts.