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Entropic Voxels Indicate Large Brain-State Repertoires, Adam Hull

Undergraduate Student Research Internships Conference

Brain entropy is a measure that has been increasingly studied in neuroscience over the past decade. It is based on Shannon Entropy, a measure from Information Theory that quantifies the information capacity of a system from the probability distribution of its states. Brain entropy is thus posited to reflect the information capacity of the brain and has been linked to various cognitive abilities and states. However, most studies on brain entropy measure the time-series entropy of each voxel independently, ignoring any patterns that emerge from the relations between voxels. Here, we measured brain entropy of resting-state fMRI data based on …