Table 5.
Motor-ipsilateral somatosensory coherence.
| Motor-somatosensory coherence (Figure 7) | Test | F(DFn,DFd) | P value |
|---|---|---|---|
| Delta pre | 1-way ANOVA | F(5,666) = 4.469 | P = 0.0005 |
| day0 vs. day1 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day2 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day3 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day4 | +Dunnett’s multiple comparisons test | *** | |
| day0 vs. day5 | +Dunnett’s multiple comparisons test | ** | |
| Delta post | 1-way ANOVA | F(5,631) = 2.443 | P = 0.0331 |
| day0 vs. day1 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day2 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day3 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day4 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day5 | +Dunnett’s multiple comparisons test | ns | |
| Theta pre | 1-way ANOVA | F(5,1626) = 14.69 | P < 0.0001 |
| day0 vs. day1 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day2 | +Dunnett’s multiple comparisons test | *** | |
| day0 vs. day3 | +Dunnett’s multiple comparisons test | *** | |
| day0 vs. day4 | +Dunnett’s multiple comparisons test | *** | |
| day0 vs. day5 | +Dunnett’s multiple comparisons test | *** | |
| Theta post | 1-way ANOVA | F(5,1541) = 11.81 | P < 0.0001 |
| day0 vs. day1 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day2 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day3 | +Dunnett’s multiple comparisons test | ** | |
| day0 vs. day4 | +Dunnett’s multiple comparisons test | *** | |
| day0 vs. day5 | +Dunnett’s multiple comparisons test | *** | |
| Beta pre | 1-way ANOVA | F(5,3426) = 14.07 | P < 0.0001 |
| day0 vs. day1 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day2 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day3 | +Dunnett’s multiple comparisons test | * | |
| day0 vs. day4 | +Dunnett’s multiple comparisons test | *** | |
| day0 vs. day5 | +Dunnett’s multiple comparisons test | *** | |
| Beta post | 1-way ANOVA | F(5,3179) = 16.68 | P < 0.0001 |
| day0 vs. day1 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day2 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day3 | +Dunnett’s multiple comparisons test | *** | |
| day0 vs. day4 | +Dunnett’s multiple comparisons test | *** | |
| day0 vs. day5 | +Dunnett’s multiple comparisons test | *** | |
| Low gamma pre | 1-way ANOVA | F(5,3450) = 9.262 | P < 0.0001 |
| day0 vs. day1 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day2 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day3 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day4 | +Dunnett’s multiple comparisons test | *** | |
| day0 vs. day5 | +Dunnett’s multiple comparisons test | ns | |
| Low gamma post | 1-way ANOVA | F(5,3270) = 15.02 | P < 0.0001 |
| day0 vs. day1 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day2 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day3 | +Dunnett’s multiple comparisons test | *** | |
| day0 vs. day4 | +Dunnett’s multiple comparisons test | ** | |
| day0 vs. day5 | +Dunnett’s multiple comparisons test | *** | |
| High gamma pre | 1-way ANOVA | F(5,9306) = 12.67 | P < 0.0001 |
| day0 vs. day1 | +Dunnett’s multiple comparisons test | * | |
| day0 vs. day2 | +Dunnett’s multiple comparisons test | * | |
| day0 vs. day3 | +Dunnett’s multiple comparisons test | * | |
| day0 vs. day4 | +Dunnett’s multiple comparisons test | *** | |
| day0 vs. day5 | +Dunnett’s multiple comparisons test | * | |
| High gamma post | 1-way ANOVA | F(5,8827) = 32.84 | P < 0.0001 |
| day0 vs. day1 | +Dunnett’s multiple comparisons test | *** | |
| day0 vs. day2 | +Dunnett’s multiple comparisons test | *** | |
| day0 vs. day3 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day4 | +Dunnett’s multiple comparisons test | ns | |
| day0 vs. day5 | +Dunnett’s multiple comparisons test | ** | |
| Delta pre | |||
| day3 vs. day4 | Mann Whitney test | P = 0.0005 | |
| day4 vs. day5 | Mann Whitney test | P = 0.0790 | |
| Delta post | |||
| day3 vs. day4 | Mann Whitney test | P = 0.4940 | |
| day4 vs. day5 | Mann Whitney test | P = 0.8762 | |
| Theta pre | |||
| day3 vs. day4 | Mann Whitney test | P < 0.0001 | |
| day4 vs. day5 | Mann Whitney test | P = 0.0077 | |
| Theta post | |||
| day3 vs. day4 | Mann Whitney test | P = 0.9324 | |
| day4 vs. day5 | Mann Whitney test | P = 0.1112 | |
| Beta pre | |||
| day3 vs. day4 | Mann Whitney test | P < 0.0001 | |
| day4 vs. day5 | Mann Whitney test | P = 0.0063 | |
| Beta post | |||
| day3 vs. day4 | Mann Whitney test | P = 0.3153 | |
| day4 vs. day5 | Mann Whitney test | P = 0.5027 | |
| Low gamma pre | |||
| day3 vs. day4 | Mann Whitney test | P < 0.0001 | |
| day4 vs. day5 | Mann Whitney test | P < 0.0001 | |
| Low gamma post | |||
| day3 vs. day4 | Mann Whitney test | P = 0.1747 | |
| day4 vs. day5 | Mann Whitney test | P = 0.5429 | |
| High gamma pre | |||
| day3 vs. day4 | Mann Whitney test | P < 0.0001 | |
| day4 vs. day5 | Mann Whitney test | P < 0.0001 | |
| High gamma post | |||
| day3 vs. day4 | Mann Whitney test | P = 0.8062 | |
| day4 vs. day5 | Mann Whitney test | P = 0.2107 |
Statistical data. *p < 0.05, **p < 0.01, ***p < 0.001, ns, not significant.