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. 2016 Sep 6;11(9):e0161589. doi: 10.1371/journal.pone.0161589

Table 2. Number of voxels for each of the masks reported by participant.

Participant Gray matter VA VP AP VA∩(VP⋃AP)c GM∩(VA∩(VP⋃AP)c)
1 12243 15554 7475 577 8864 2551
2 20279 11723 4006 682 8066 3086
3 24024 12255 15253 1286 4031 2040
4 12544 13294 6664 5193 6590 1261
5 16064 8926 3028 1008 5855 1977
6 15931 11947 10337 3298 3195 1031
7 17528 5221 1784 185 3449 1207
8 15766 8078 3372 538 5039 1351
9 21940 7558 1949 2048 5032 2142
10 8689 9935 3504 433 6810 1101
11 20825 13872 9461 1202 6674 2951

VA, voxels that were more responsive to audiovisual condition compared to baseline (p < .05, FWE-corrected, cluster size > 5); VP, voxels that were more responsive to checkerboard condition compared to baseline (p < .05, FWE-corrected, cluster size > 5); AP, voxels that were more responsive to beep condition compared to baseline (p < .05, FWE -corrected, cluster size > 5); VA∩(VP⋃AP)c: voxels that were more responsive to audiovisual condition compared to baseline (p < .05, FWE-corrected, cluster size > 5), but excluding those voxels that were more responsive to checkerboard condition compared to baseline (p < .05, FWE-corrected, cluster size > 5) and those voxels that were more responsive to beep condition compared to baseline (p < .05, FWE -corrected, cluster size > 5); GM∩(VA∩(VP⋃AP)c), the intersection between individual gray matter mask and VA∩(VP⋃AP)c. Participants are ordered by within-participant classification performance (see below).