A central challenge in neuroscience is elucidating how complex cognitive functions—and consciousness itself—emerge from the dynamic interactions of large-scale brain networks. My research addresses this question by integrating advanced neuroimaging modalities, including structural/functional MRI and molecular imaging, with computational frameworks grounded in network science and information theory. By examining brain activity across diverse states—healthy wakefulness, pharmacologically induced unconsciousness, and disorders of consciousness—I aim to identify the neural mechanisms that differentiate conscious from unconscious states. Empirical findings so far indicate that loss of consciousness, whether due to anaesthesia or severe brain injury, is associated with a pronounced reduction in both information integration and network diversity. These observations suggest that consciousness critically depends on the brain’s capacity to flexibly integrate and process information across distributed regions. In my talk, I will discuss how specific patterns of network interactions support conscious processing and how disruptions to these interactions—particularly within systems such as the Ascending Reticular Activating System—can lead to profound alterations or complete loss of consciousness. These insights offer meaningful contributions to theoretical models of consciousness, while also bearing important implications for clinical practice and the development of innovative therapeutic strategies for individuals with disorders of consciousness.