TABLE 2.
Posterior Summary of Bayesian Estimates (N = 100,000 Analysis Samples)
| Control |
Clinical |
|||||||
|---|---|---|---|---|---|---|---|---|
| Credible Interval |
Credible Interval |
|||||||
| Regression Path | M | SD | 95% LL | 95% UL | M | SD | 95% LL | 95% UL |
| LRO ← RM1 | .45 | 0.15 | 0.05 | 0.65 | .54 | 0.12 | 0.29 | 0.76 |
| LAUD ← CING | .38 | 0.13 | 0.11 | 0.65 | .18 | 0.18 | −0.16 | 0.54 |
| RAUD ← CING | .22 | 0.19 | −0.19 | 0.60 | .41 | 0.15 | 0.10 | 0.70 |
| RRO ← LM1 | .22 | 0.38 | −0.56 | 0.98 | .54 | 0.09 | 0.34 | 0.72 |
| LM1 ← SMA | .13 | 0.11 | −0.09 | 0.35 | .36 | 0.17 | 0.02 | 0.69 |
| RM1 ← SMA | .39 | 0.15 | 0.08 | 0.71 | .53 | 0.15 | 0.22 | 0.84 |
| LAUD ← RRO | .62 | 0.18 | 0.25 | 1.00 | .30 | 0.12 | 0.06 | 0.54 |
| RM1 ← LAUD | .41 | 0.22 | −0.06 | 0.82 | .14 | 0.14 | −0.13 | 0.42 |
Note. Mean is an estimate obtained by averaging across the random samples produced by the Markov chain Monte Carlo procedure. SD is analogous to the standard deviation in maximum likelihood estimation. LL = lower limit; UL = upper limit; LRO = left rolandic operculum; RM1 = right primary motor cortex; LAUD = left auditory cortex; CING = cingulate cortex; RAUD = right auditory cortex; RRO = right rolandic operculum; LM1 = left primary motor cortex; SMA = supplementary motor area.