Table 1.
P values for sensitivity to visual salience and behavioral relevance (and their interaction)
ROI |
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V1 | V2 | V3 | V3A | hV4 | IPS0 | IPS1 | IPS2 | IPS3 | sPCS | |
Salience | 0.003 | <0.001 | <0.001 | 0.022 | <0.001 | 0.223 | 0.394 | 0.371 | 0.653 | 0.717 |
Relevance | <0.001 | 0.002 | <0.001 | 0.003 | 0.005 | 0.001 | 0.011 | 0.071 | 0.112 | 0.038 |
Interaction | 0.062 | 0.183 | 0.117 | 0.166 | 0.291 | 0.755 | 0.527 | 0.922 | 0.204 | 0.644 |
3-Way ANOVA | ||||||
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Main Effects |
Interactions |
|||||
Salience | Relevance | ROI | Salience × Relevance | Salience × ROI | Relevance × ROI | Salience × Relevance × ROI |
<0.001 | 0.001 | <0.001 | 0.348 | <0.001 | <0.001 | 0.166 |
Data are P values for all tests reported in Fig. 5. To assess whether each region of interest (ROI) was sensitive to visual salience and behavioral relevance (and their interaction), we performed a 2-way, repeated-measures ANOVA with factors of visual salience (20%, 40%, 80% contrast) and behavioral relevance (attended or unattended). To generate P values, we compared the F score derived for each main effect and their interaction with those derived from a shuffling procedure in which we shuffled the data labels within each participant independently 1,000 times. Because we ran 1,000 iterations of this shuffling procedure, the minimum accurate quantifiable P value was 0.001. Bold P values indicate significant effects after correction for multiple comparisons (false discovery rate, q = 0.05 across all comparisons, threshold P ≤ 0.011). P values in italics indicate trends, defined as P ≤ 0.05 with no correction for multiple comparisons. Int, interactions.