What Consciousness Requires: A Measurable, Physical Perspective
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Human consciousness, though often described in abstract terms, is grounded in identifiable physiological mechanisms that can be analysed and measured via empirical methods. Drawing on interdisciplinary evidence from neuroscience, physiology and systems biology, we propose a provisional framework aimed at characterizing the physical and biophysical features that may underlie human consciousness. We review current methods for quantifying these biophysical correlates, highlighting the potential roles of electrical activity, metabolic thresholds, thermodynamic constraints, ionic regulation and network dynamics in sustaining conscious states. We also consider the contributions of non-neuronal cells such as astrocytes and microglia, alongside the modulatory influences of peripheral inputs, including gut-brain interactions and cardiovascular and respiratory rhythms. We then examine the physiological dynamics underlying shifts in consciousness by integrating clinical data from anaesthesia, coma and sleep with neurophysiological and biochemical measurements. This synthesis allows us to identify a set of quantifiable parameters that characterize the conscious brain, including oscillatory coherence, cerebral metabolic rate, spike timing precision and ionic stability. We emphasize the importance of methodological convergence, whereby the integration of neuroimaging, electrophysiology and computational modelling enhances analytical robustness, improves interpretability and enables cross-validation of findings. Next, we conceptualize consciousness within a multidimensional threshold space, where varying degrees of awareness emerge from biophysical and physiological interactions. Overall, our approach proposes an operational definition of consciousness based on identifiable thresholds and interdependent physical parameters, aiming to support the integration of diverse findings within a coherent systems-level framework grounded in empirical evidence and clinical observations.