Modulation of the visual cortex by non invasive brain stimulation
Visual awareness, neural correlations. Non-invasive brain stimulation. Modulation of visual awareness by nibs. Effects of anodal, cathodal stimulation on motor evoked potentials. Evidences of neuromodulation visual awareness. Data from anodal condition.
| Рубрика | Медицина |
| Вид | дипломная работа |
| Язык | английский |
| Дата добавления | 30.08.2020 |
| Размер файла | 3,5 M |
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3
1
2
4,737
2,494
,106
-1,365
10,840
2
1
-4,737
2,494
,106
-10,840
1,365
4
1
2
-5,126
2,867
,124
-12,142
1,889
2
1
5,126
2,867
,124
-1,889
12,142
5
1
2
-3,944
3,619
,318
-12,799
4,912
2
1
3,944
3,619
,318
-4,912
12,799
Based on estimated marginal means
a. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).
|
Multivariate Tests |
|||||||||
|
Time |
Value |
F |
Hypothesis df |
Error df |
Sig. |
Noncent. Parameter |
Observed Powerb |
||
|
1 |
Pillai's trace |
,081 |
,529a |
1,000 |
6,000 |
,495 |
,529 |
,095 |
|
|
Wilks' lambda |
,919 |
,529a |
1,000 |
6,000 |
,495 |
,529 |
,095 |
||
|
Hotelling's trace |
,088 |
,529a |
1,000 |
6,000 |
,495 |
,529 |
,095 |
||
|
Roy's largest root |
,088 |
,529a |
1,000 |
6,000 |
,495 |
,529 |
,095 |
||
|
2 |
Pillai's trace |
,303 |
2,606a |
1,000 |
6,000 |
,158 |
2,606 |
,276 |
|
|
Wilks' lambda |
,697 |
2,606a |
1,000 |
6,000 |
,158 |
2,606 |
,276 |
||
|
Hotelling's trace |
,434 |
2,606a |
1,000 |
6,000 |
,158 |
2,606 |
,276 |
||
|
Roy's largest root |
,434 |
2,606a |
1,000 |
6,000 |
,158 |
2,606 |
,276 |
||
|
3 |
Pillai's trace |
,376 |
3,608a |
1,000 |
6,000 |
,106 |
3,608 |
,360 |
|
|
Wilks' lambda |
,624 |
3,608a |
1,000 |
6,000 |
,106 |
3,608 |
,360 |
||
|
Hotelling's trace |
,601 |
3,608a |
1,000 |
6,000 |
,106 |
3,608 |
,360 |
||
|
Roy's largest root |
,601 |
3,608a |
1,000 |
6,000 |
,106 |
3,608 |
,360 |
||
|
4 |
Pillai's trace |
,348 |
3,197a |
1,000 |
6,000 |
,124 |
3,197 |
,326 |
|
|
Wilks' lambda |
,652 |
3,197a |
1,000 |
6,000 |
,124 |
3,197 |
,326 |
||
|
Hotelling's trace |
,533 |
3,197a |
1,000 |
6,000 |
,124 |
3,197 |
,326 |
||
|
Roy's largest root |
,533 |
3,197a |
1,000 |
6,000 |
,124 |
3,197 |
,326 |
||
|
5 |
Pillai's trace |
,165 |
1,187a |
1,000 |
6,000 |
,318 |
1,187 |
,152 |
|
|
Wilks' lambda |
,835 |
1,187a |
1,000 |
6,000 |
,318 |
1,187 |
,152 |
||
|
Hotelling's trace |
,198 |
1,187a |
1,000 |
6,000 |
,318 |
1,187 |
,152 |
||
|
Roy's largest root |
,198 |
1,187a |
1,000 |
6,000 |
,318 |
1,187 |
,152 |
||
|
Each F tests the multivariate simple effects of Stimulation within each level combination of the other effects shown. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means. |
|||||||||
|
a. Exact statistic |
|||||||||
|
b. Computed using alpha =,05 |
5. Stimulation * Time
|
Estimates |
|||||||||
|
Measure: MEASURE_1 |
|||||||||
|
Stimulation |
Time |
Mean |
Std. Error |
95% Confidence Interval |
|||||
|
Lower Bound |
Upper Bound |
||||||||
|
1 |
1 |
102,294 |
1,996 |
97,411 |
107,177 |
||||
|
2 |
101,709 |
1,250 |
98,651 |
104,768 |
|||||
|
3 |
105,996 |
1,971 |
101,174 |
110,818 |
|||||
|
4 |
98,125 |
3,000 |
90,784 |
105,466 |
|||||
|
5 |
100,395 |
2,983 |
93,096 |
107,695 |
|||||
|
2 |
1 |
103,517 |
1,478 |
99,901 |
107,134 |
||||
|
2 |
104,404 |
1,237 |
101,378 |
107,431 |
|||||
|
3 |
101,259 |
,924 |
98,998 |
103,520 |
|||||
|
4 |
103,251 |
1,211 |
100,289 |
106,214 |
|||||
|
5 |
104,339 |
1,762 |
100,026 |
108,652 |
|||||
|
Pairwise Comparisons |
|||||||||
|
Measure: MEASURE_1 |
|||||||||
|
Stimulation |
(I) Time |
(J) Time |
Mean Difference (I-J) |
Std. Error |
Sig.b |
95% Confidence Interval for Differenceb |
|||
|
Lower Bound |
Upper Bound |
||||||||
|
1 |
1 |
2 |
,584 |
1,897 |
,769 |
-4,058 |
5,226 |
||
|
3 |
-3,702 |
2,116 |
,131 |
-8,881 |
1,476 |
||||
|
4 |
4,169 |
3,938 |
,331 |
-5,468 |
13,806 |
||||
|
5 |
1,898 |
3,617 |
,618 |
-6,951 |
10,748 |
||||
|
2 |
1 |
-,584 |
1,897 |
,769 |
-5,226 |
4,058 |
|||
|
3 |
-4,287* |
1,001 |
,005 |
-6,736 |
-1,837 |
||||
|
4 |
3,584 |
3,193 |
,305 |
-4,229 |
11,398 |
||||
|
5 |
1,314 |
3,477 |
,719 |
-7,195 |
9,823 |
||||
|
3 |
1 |
3,702 |
2,116 |
,131 |
-1,476 |
8,881 |
|||
|
2 |
4,287* |
1,001 |
,005 |
1,837 |
6,736 |
||||
|
4 |
7,871 |
4,058 |
,101 |
-2,059 |
17,801 |
||||
|
5 |
5,601 |
4,333 |
,244 |
-5,003 |
16,204 |
||||
|
4 |
1 |
-4,169 |
3,938 |
,331 |
-13,806 |
5,468 |
|||
|
2 |
-3,584 |
3,193 |
,305 |
-11,398 |
4,229 |
||||
|
3 |
-7,871 |
4,058 |
,101 |
-17,801 |
2,059 |
||||
|
5 |
-2,270 |
1,782 |
,250 |
-6,631 |
2,090 |
||||
|
5 |
1 |
-1,898 |
3,617 |
,618 |
-10,748 |
6,951 |
|||
|
2 |
-1,314 |
3,477 |
,719 |
-9,823 |
7,195 |
||||
|
3 |
-5,601 |
4,333 |
,244 |
-16,204 |
5,003 |
||||
|
4 |
2,270 |
1,782 |
,250 |
-2,090 |
6,631 |
||||
|
2 |
1 |
2 |
-,887 |
1,555 |
,589 |
-4,693 |
2,919 |
||
|
3 |
2,258* |
,913 |
,048 |
,024 |
4,493 |
||||
|
4 |
,266 |
2,138 |
,905 |
-4,964 |
5,496 |
||||
|
5 |
-,822 |
1,681 |
,642 |
-4,934 |
3,291 |
||||
|
2 |
1 |
,887 |
1,555 |
,589 |
-2,919 |
4,693 |
|||
|
3 |
3,145 |
1,706 |
,115 |
-1,030 |
7,321 |
||||
|
4 |
1,153 |
2,246 |
,626 |
-4,342 |
6,648 |
||||
|
5 |
,065 |
1,651 |
,970 |
-3,974 |
4,105 |
||||
|
3 |
1 |
-2,258* |
,913 |
,048 |
-4,493 |
-,024 |
|||
|
2 |
-3,145 |
1,706 |
,115 |
-7,321 |
1,030 |
||||
|
4 |
-1,992 |
1,363 |
,194 |
-5,328 |
1,343 |
||||
|
5 |
-3,080 |
1,878 |
,152 |
-7,676 |
1,516 |
||||
|
4 |
1 |
-,266 |
2,138 |
,905 |
-5,496 |
4,964 |
|||
|
2 |
-1,153 |
2,246 |
,626 |
-6,648 |
4,342 |
||||
|
3 |
1,992 |
1,363 |
,194 |
-1,343 |
5,328 |
||||
|
5 |
-1,088 |
2,411 |
,668 |
-6,987 |
4,811 |
||||
|
5 |
1 |
,822 |
1,681 |
,642 |
-3,291 |
4,934 |
|||
|
2 |
-,065 |
1,651 |
,970 |
-4,105 |
3,974 |
||||
|
3 |
3,080 |
1,878 |
,152 |
-1,516 |
7,676 |
||||
|
4 |
1,088 |
2,411 |
,668 |
-4,811 |
6,987 |
||||
|
Based on estimated marginal means |
|||||||||
|
*. The mean difference is significant at the,05 level. |
|||||||||
|
b. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments). |
|||||||||
|
Multivariate Tests |
|||||||||
|
Stimulation |
Value |
F |
Hypothesis df |
Error df |
Sig. |
Noncent. Parameter |
Observed Powerb |
||
|
1 |
Pillai's trace |
,897 |
6,497a |
4,000 |
3,000 |
,078 |
25,990 |
,500 |
|
|
Wilks' lambda |
,103 |
6,497a |
4,000 |
3,000 |
,078 |
25,990 |
,500 |
||
|
Hotelling's trace |
8,663 |
6,497a |
4,000 |
3,000 |
,078 |
25,990 |
,500 |
||
|
Roy's largest root |
8,663 |
6,497a |
4,000 |
3,000 |
,078 |
25,990 |
,500 |
||
|
2 |
Pillai's trace |
,857 |
4,486a |
4,000 |
3,000 |
,124 |
17,942 |
,374 |
|
|
Wilks' lambda |
,143 |
4,486a |
4,000 |
3,000 |
,124 |
17,942 |
,374 |
||
|
Hotelling's trace |
5,981 |
4,486a |
4,000 |
3,000 |
,124 |
17,942 |
,374 |
||
|
Roy's largest root |
5,981 |
4,486a |
4,000 |
3,000 |
,124 |
17,942 |
,374 |
||
|
Each F tests the multivariate simple effects of Time within each level combination of the other effects shown. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means. |
|||||||||
|
a. Exact statistic |
|||||||||
|
b. Computed using alpha =,05 |
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