=== 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.