Abstract

Brain metabolic mapping techniques, such as positron emis-sion tomography (PET), can provide information about the functional interactions within entire neural systems. With the large quantity of data that can accumulate from a mapping study, a network analysis, which makes sense of the com-plex interactions among neural elements, is necessary. A network analysis was performed on data obtained from a PET study that examined both the changes in regional ce-rebral blood flow (rCBF) and interregional correlations among human cortical areas during performance of an object vision (face matching) and spatial vision (dot-location matching) task. Brain areas for the network were selected based on regions showing significant rCBF or interregional correla-tions between tasks. Anterior temporal and frontal lobe regions were added to the network using a principal com-

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