Bridging neural circuits and clinical outcomes: a novel framework for perioperative disturbances of consciousness and cognition

Disturbances of consciousness and cognition that happen during the perioperative period remain a critical challenge in anesthesiology, manifested as intraoperative awareness, delayed emergence, and postoperative delirium. These disorders arise from complex interactions among neural connectivity, neurotransmitter dynamics, and the pharmacological modulation of cortical and subcortical circuits. The thalamocortical network, brainstem arousal centers, and frontoparietal integration systems are crucial in facilitating transitions between drug-induced unconsciousness and recovery; however, their functional disruptions are only partially comprehended. This paper synthesizes recent research that connecting consciousness neurobiology with anesthetic mechanisms, examining how dysregulated GABAergic, NMDA, and adrenergic signaling underlies perioperative neural states. It examines the dual spectrum of intraoperative awareness and postoperative cognitive disturbances through a comprehensive neurophysiological framework. Furthermore, novel diagnostic technologies, including EEG-based depth indices, functional near-infrared spectroscopy, and AI-assisted models, are analyzed for their potential in the real-time detection and prediction of states of consciousness. This study seeks to establish a comprehensive framework for understanding perioperative disturbances of consciousness and cognition by integrating mechanistic, clinical, and technological perspectives. It stresses the importance of personalized anesthetic approaches, multimodal monitoring, and neuroinformatics-informed interventions to avert cognitive sequelae and enhance neural recovery. This perspective positions anesthesiology at the intersection of neuroscience, data science, and consciousness research.