Decision-Tree-Based Approaches to Brain Mapping and Consciousness Research: Neural Interactions, Emergence and Level Assessment

Abstract Mapping consciousness across the brain requires more than locating isolated activations: it requires explaining how distributed, hierarchical networks integrate information and why awareness varies in strength across contexts. Against this backdrop, decision-tree systems offer an interpretable bridge between complex neuroimaging, electrophysiological, behavioral, and physiological data and clinically meaningful states. Their conditional branches can expose how regional activity, connectivity, oscillations, and network measures combine to distinguish neural configurations, while ensemb