Table 2.
Normalized and absolute volumes of brain areas measured in MR and PR groups.
| Brain areas | Normalized volume (#) | Absolute volume (mm3) | Absolute volume Difference (%) | Statistical analyses for normalized values | ||
|---|---|---|---|---|---|---|
| MR monkeys | PR monkeys | MR monkeys | PR monkeys | |||
| ICV | 91,121.10 ± 1,904.22 | 92,561.94 ± 2,413.57 | 1.61 | |||
| dACC | 5.29 ± 0.13 | 5.74 ± 0.17 | 481.98 ± 15.84 | 531.71 ± 21.87 | 10.32 | F1,24 = 4.46, p<0.05 |
| PCC | 10.81 ± 0.27 | 10.93 ± 0.22 | 984.99 ± 32.91 | 1,011.61 ± 34.23 | 2.70 | F1,24 = 0.07, n.s |
| Right mPFC | 7.59 ± 0.14 | 7.99 ± 0.23 | 692.13 ± 19.16 | 741.37 ± 23.37 | 7.11 | F1,23 = 2.20, n.s |
| Left mPFC | 7.53 ± 0.14 | 7.90 ± 0.23 | 685.99 ± 18.90 | 734.04 ± 23.87 | 7.00 | F1,23 = 1.87, n.s. |
| Right DmPFC | 6.12 ± 0.13 | 6.64 ± 0.18 | 557.97 ± 16.43 | 616.35 ± 16.78 | 10.46 | F1,23 = 6.37, p<0.05 |
| Left DmPFC | 6.15 ± 0.12 | 6.67 ± 0.16 | 560.57 ± 15.4 | 618.74 ± 16.93 | 10.38 | F1,23 = 6.88, p<0.05 |
| Right PFL | 35.31 ± 0.50 | 36.13 ± 0.91 | 3,218.09 ± 80.31 | 3,336.38 ± 100.03 | 3.68 | F1,24 = 0.52, n.s. |
| Left PFL | 36.42 ± 0.50 | 36.68 ± 0.81 | 3,317.83 ± 79.04 | 3,393.01 ± 109.48 | 2.27 | F1,24 = 0.08, n.s. |
| Right HC | 5.31 ± 0.11 | 5.18 ± 0.12 | 481.66 ± 8.45 | 479.28 ± 16.06 | -0.49 | F1,24 = 0.48, n.s. |
| Left HC | 5.16 ± 0.10 | 5.04 ± 0.12 | 467.77 ± 6.90 | 465.82 ± 13.44 | -0.42 | F1,24 = 0.52, n.s. |
| CC | 125.21 ± 1.20 | 125.28 ± 1.81 | 31.79 ± 0.82 | 32.21 ± 1.15 | 1.32 | F1,24 = 0.03, n.s. |
| CB-V | 254.66 ± 2.09 | 264.43 ± 1.56 | 131.99 ± 2.31 | 142.93 ± 2.66 | 8.29 | F1,24 = 14.33, p<0.01 |
ICV: intracranial volume, dACC: dorsal anterior cingulate cortex, PCC: posterior cingulate cortex, mPFC: medial prefrontal cortex, DmPFC: dorsomedial prefrontal cortex, PFL: prefrontal lobe, HC: hippocampus, CC: corpus callosum, CB-V: cerebellar vermis.
Results are presented as mean ± S.E.M.; n.s.: not significant.
#
Normalized values were calculated as ROI volume/ICV. CB-V and CC were defined as areas rather than volumes, therefore data were normalized by dividing the square root of the area by the cubic root of the ICV to bring all measures to the same geometric dimensionality36. All normalized values were multiplied by 1000.