Abstract
Data visualization for inference in tomographic brain imaging.
Highlights
Tomographic imaging offers a unique window in understanding structure-function relationships in the living brain
It is standard practice to acquire entire brain volumes and perform statistical analyses at each voxel, an approach known as statistical parametric mapping (Friston et al, 1991)
Because it is impossible to report the statistical results in every voxel, summary tables and figures are of importance
Summary
Tomographic imaging (i.e., magnetic resonance imaging [MRI], positron emission tomography [PET], X-ray computed tomography [CT]) offers a unique window in understanding structure-function relationships in the living brain. Responses observed at the peak coordinate for each of the four clusters are shown per condition (reconstructed hemodynamic response: famous faces in brown, unfamiliar faces in blue and scrambled confidence intervals) faces along in green; shaded areas with the scatter plots and show kernel dtheen∗sbityooetssttirmapapteesdo9f 5th%e resulting contrast.
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