Table 3.
The table presents the results from applying multiple linear regression models to investigate the effects of clinical variables on response latencies in patients.
| B coefficient | t | Standard error | p value | |
|---|---|---|---|---|
| Inter-Hemispheric latencies | ||||
| BPRS-positive symptoms | −2.95 | −0.62 | 4.73 | 0.53 |
| BPRS-negative symptoms | −2.03 | −0.29 | 7.03 | 0.77 |
| GAF | 2.30 | 1.40 | 1.63 | 0.17 |
| Illness duration | 2.62 | 1.55 | 1.69 | 0.13 |
| Age | 3.13 | 1.88 | 1.66 | 0.07 |
| Intra-hemispheric latencies | ||||
| BPRS-positive symptoms | −3.42 | −0.72 | 4.73 | 0.47 |
| BPRS-negative symptoms | −2.14 | −0.30 | 7.03 | 0.76 |
| GAF | 1.39 | 0.85 | 1.63 | 0.40 |
| Illness duration | 2.87 | 1.70 | 1.69 | 0.10 |
| Age | 2.66 | 1.60 | 1.66 | 0.12 |
Results are separately documented for each of the Inter- and Intra-hemispheric conditions. The clinical variables included in each model were illness duration, GAF total score, BPRS-negative total score, BPRS-positive total score.