One of the most prominent tools for objectively measuring consciousness is neuroimaging, including functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) scans. These techniques measure brain activity by detecting changes in blood flow or metabolic processes, making it possible to identify patterns of neural activation that correlate with conscious experiences. For instance, certain neural signatures are associated with the state of being awake and aware, as opposed to when one is unconscious or under anesthesia. Techniques such as electroencephalography (EEG) and magnetoencephalography (MEG) record electrical or magnetic activity in the brain, capturing real-time fluctuations that reflect the dynamic changes in consciousness. Event-Related Potentials (ERPs), derived from EEG, track how the brain responds to specific stimuli, revealing the various stages of sensory processing and indicating at what point consciousness of a stimulus arises. While not directly probing the brain, behavioral tests can infer conscious experience from the predictable performance of certain tasks. For example, the use of signal detection tasks, where participants must detect a faint stimulus presented briefly, can reveal thresholds for conscious detection. Furthermore, tasks that probe attention, working memory, and executive control can also serve as indirect measures of consciousness. Based on The Global Workspace Theory, for a piece of information to become conscious, it must be broadcast throughout the brain via a global workspace. Tests that measure the integration and broadcasting of information, such as the extent of network connectivity in the brain, can inform assessments of consciousness.