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. 2015 Jul 29;35(30):10647–10658. doi: 10.1523/JNEUROSCI.0210-15.2015

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.