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Table 4. 

Main Task Classification Probabilities and Correlations with Car Expertise

  Whole vs. Misconfigured Voxel Patterns Classification of Combined Voxel Patterns 
Probability Correct Correlation with Car Expertise Classified as Whole Correlation with Car Expertise 
Mean (SE) r (95% CI) Mean (SE) r (95% CI) p 
lFFA1 0.62 (0.03) −.02 (−.46, .43) 0.52 (0.02) .18 (−.29, .58) .54 
lFFA2 0.59 (0.02) −.06 (−.47, .37) 0.50 (0.01) .04 (−.39, .45) .89 
lOFA 0.64 (0.02) .29 (−.22, .68) 0.51 (0.02) .32 (−.19, .69) .23 
lLO 0.60 (0.02) .14 (−.28, .51) 0.53 (0.01) .00 (−.40, .40) .99 
rFFA1 0.63 (0.02) .38 (−.06, .70) 0.52 (0.02) −.08 (−.49, .36) .78 
rFFA2 0.62 (0.02) .39 (−.05, .70) 0.49 (0.01) .57 (.18, .85) .01 
rOFA 0.67 (0.02) .43 (.00, .73) 0.51 (0.02) .10 (−.35, .51) .73 
rLO 0.62 (0.02) .27 (−.12, .59) 0.49 (0.01) .20 (−.19, .54) .22 
  Whole vs. Misconfigured Voxel Patterns Classification of Combined Voxel Patterns 
Probability Correct Correlation with Car Expertise Classified as Whole Correlation with Car Expertise 
Mean (SE) r (95% CI) Mean (SE) r (95% CI) p 
lFFA1 0.62 (0.03) −.02 (−.46, .43) 0.52 (0.02) .18 (−.29, .58) .54 
lFFA2 0.59 (0.02) −.06 (−.47, .37) 0.50 (0.01) .04 (−.39, .45) .89 
lOFA 0.64 (0.02) .29 (−.22, .68) 0.51 (0.02) .32 (−.19, .69) .23 
lLO 0.60 (0.02) .14 (−.28, .51) 0.53 (0.01) .00 (−.40, .40) .99 
rFFA1 0.63 (0.02) .38 (−.06, .70) 0.52 (0.02) −.08 (−.49, .36) .78 
rFFA2 0.62 (0.02) .39 (−.05, .70) 0.49 (0.01) .57 (.18, .85) .01 
rOFA 0.67 (0.02) .43 (.00, .73) 0.51 (0.02) .10 (−.35, .51) .73 
rLO 0.62 (0.02) .27 (−.12, .59) 0.49 (0.01) .20 (−.19, .54) .22 
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