Table 4.
Results of the correlation analyses between the raw data (Figure 2) and microstructural and macrostructural measures of structural variability within the frontoparietal networks
Raw data measure | Significant correlations |
---|---|
Whole report: 6 letter condition (no. of reported letters)a | r = 0.48; p = 0.003, FDR corrected (HMOA right SLF II) |
r = 0.43; p = 0.006, FDR corrected (HMOA right SLF III) | |
r = 0.30; p = 0.05, FDR corrected (HMOA right IFOF) | |
r = 0.40; p = 0.01, FDR corrected (HMOA lateralization SLF II) | |
r = 0.35; p = 0.02, FDR corrected (HMOA lateralization IFOF) | |
Difference between the no. of correctly reported letters at 10 and 80 msb | r = 0.47; p = 0.003, FDR corrected (HMOA lateralization SLF II) |
r = 0.42; p = 0.005, FDR corrected (HMOA lateralization IFOF) | |
Spatial biasc | r = 0.32; p = 0.03, FDR corrected (volume right SLF II) |
r = −0.38; p = 0.01, FDR corrected (HMOA right SLF II) |
a The raw scores for the whole report: 6 target letter condition (measuring the no. of reported letters at the longest exposure duration, i.e., 200 ms) corresponding to TVA parameter K.
b The difference in the raw scores between the no. of correctly reported letters at 10 and 80 ms corresponding to TVA parameter C.
c Spatial bias based on the raw data = lateralization index left/(left + right) calculated based on the raw scores for the left and right visual fields, corresponding to the TVA-based laterality index (ωindex).
Only significant correlations are reported.