Burst-suppression rhythm is a common brain activity pattern observed during deep anesthesia, coma, hypothermia, and certain pathological unconscious states, characterized by alternating phases of high-amplitude electrical bursts and low-activity suppression. Traditional research, relying on macroscopic electroencephalogram (EEG) signals, posits that this rhythm reflects a switch between 'global activation' and 'global silence' across the entire cortex. However, the CODE system (Whole-Cortex Opto-Electric Bimodal Neural Interface), developed by a research team at Tsinghua University, reveals the dynamic neural mechanisms underlying burst-suppression rhythm through simultaneous recording of calcium activity in approximately 18,000 neurons and multi-regional electrocorticogram (ECoG) signals. The study found that burst and suppression phases correspond to the alternating activation of two distinct neuronal populations: burst-related neurons are more active during burst phases, while suppression-related neurons are more active during suppression phases. This suggests that the 'suppression' observed in ECoG signals does not represent complete neuronal silence but rather dispersed, asynchronous neuronal activity. Further analysis revealed that burst-related neurons rapidly synchronize and activate early in the burst phase, forming strong functional connections, while suppression-related neurons are recruited later and more dispersedly during the suppression phase, with weaker connection strengths. Additionally, burst activity does not occur synchronously across the entire cortex but originates in the bilateral lateral sensory cortices and gradually propagates toward medial and anterior motor-related regions, exhibiting spatiotemporal characteristics of 'propagation with synchronization.' The study also discovered that the predictive power of macroscopic ECoG signals for single-neuron activity is brain-state dependent: it is lowest during wakefulness, increases during suppression phases, and is highest during burst phases. These findings provide a cross-scale observational tool for understanding brain state transitions such as anesthesia, sleep, and coma, while challenging traditional simplified perceptions of burst-suppression rhythm.