Abstract #2856
Distinguishing Robust Brain Activations Using Consistency Maps
Bagarinao E, Matsuo K, Nakai T, Tanaka Y
National Institute of Advanced Industrial Science and Technology
In incremental analysis, a technique used in real-time fMRI, each image is incorporated into the analysis one after the other generating a series of activation maps for each added image. Here, we utilized this series of activation maps to construct a gconsistency maph. Consistency maps can be used to distinguish robustly active voxels from recently activated ones and to extract voxels activated early in the task, pieces of information not readily available in activation maps. An ROC analysis showed that consistency maps could also be used to efficiently minimize spurious activations that can occur any time during the scan.