A Dopamine-Serotonin Theory of Consciousness

Consciousness is a continuous, non-monotonic function across a high-dimensional neurochemical space, with dopamine as the primary intensity regulator and serotonin (5-HT2A) as the complexity modulator. This framework explains states from deep sleep to psychosis and neural death, including prefrontal cortex hypoactivity during seizures and the evolutionary persistence of psychosis-prone individuals. Controlled 5-HT2A agonists show low serious medical event incidence (< 0.01 %), while dopaminergic excess is rapidly lethal. Analysis of 70,290 sleep nights from 242 Parkinson's disease patients, using disease severity (UPDRS) and medication (LEDD), reveals a significant LEDD x UPDRS interaction (beta=-1.7, p<.0001), confirming state-dependent, non-linear dynamics.

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Abstract

This work presents a comprehensive theory of consciousness grounded in mathematical formalism and supported by clinical data analysis. The framework developed herein demonstrates that consciousness exists as a continuous, non-monotonic function across a high-dimensional neurochemical space, with dopamine serving as the primary intensity regulator and serotonin (5-HT2A) as the complexity modulator. This work offers mechanistic explanations for the full spectrum of conscious states, from deep sleep and psychosis to the ultimate collapse in neural death. The theory explains paradoxical phenomena such as prefrontal cortex hypoactivity during seizures, the evolutionary persistence of psychosis-prone individuals, and why controlled administration of classical 5-HT2A agonists shows a comparatively low incidence of serious medical events (< 0.01 % in modern clinical trials), while dopaminergic excess proves rapidly lethal. The framework is tested using 70,290 sleep nights from 242 Parkinson's disease patients, using disease severity (UPDRS) as a proxy for system integrity and medication (LEDD) as a proxy for dopaminergic input. The analysis reveals a significant LEDD x UPDRS interaction (beta=-1.7, p<.0001), confirming the model's prediction of state-dependent, non-linear dynamics.