Abstract
Brain imaging methods, such as positron emission tomography (PET), are widely used to measure functional activity in human subjects. These methods provide data simultaneously about activity in many areas of the brain while a subject performs a cognitive task. Imaging studies in which regional cerebral blood flow (rCBF) is used as an index of neural activity typically are designed for identifying regions of brain that are involved in specific aspects of cognitive tasks, but the question of how these areas interact as a dynamic network to produce such data is poorly understood (Horwitz and Sporns, 1994). The goal of this work is to better understand how neuronal dynamics relate to rCBF imaging data.
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