right
loc4_rV1_1(14): nice curve, tiered.
loc4_rV1_2(12): more patchy, but more or less the same response as the first roi…
loc4_rV1(18): combination of loc1_rV1_1 and rV1_2.
loc4_rV2d(17): ped1>ped2, but ped3»ped12.
loc4_rV3d(6): split. ped3»ped2=ped1.
loc4_rhV4(5): very highly thresholded, but good respomse.
loc4_rV3A(17): quite split, but seems to be getting relevant voxels, esp since the tiering goes away in eranal_ped1. ped1>ped2
loc1_rV1(5): good enough… very double gamma, ped2>ped3. used to be 13 voxels, but response is clearer with thresholding. tiering is better, peaks are higher.
loc1_rV2v(14): good. tiering.
loc1_rV3v(12): response was great!! used to be 47 voxels, but thresholded. very tiered.
loc1_rhV4(13): very nice tiering, good HDR.
loc1_rV3A(13): split, but super high responses. tiering is not so obvious… but HDR is very pretty with high peak.
left hemisphere
loc2_lV1(29): very pretty!
loc2_lV2v(19): nice tiering, but ped1 is starting to look noisy.
loc2_lV3v(18): good.
loc2_lhV4(10): beautiful response, no tiering…
loc2_lV3A(9): ok. peaks are jaggedy, but high. based mostly on localizer. split.
loc3)lV1(3): horrible!! but manually drawn.
loc3_lV2d(30): ped1>ped2, but decent response. matches localizer beautifully.
loc3_lV3d(27): too big? responses not good…
loc3_lV3d(16): ok. kind of blurred boundary with loc3_lV3A, but excluded each other, so ok.
loc3_lhV4(4): beautiful large response. tiers, too.
loc3_lV3A(5): ok. looks like loc2_lV3A responses.
loc3_lV3A(12): beautiful with tiering.