Table 3 Results of multiple linear regression analyses for local clustering.

From: Investigating robust associations between functional connectivity based on graph theory and general intelligence

 

HCP_day_1_day_2

NKI_TR645

RUB

UMN

R2

p

R2

p

R2

p

R2

p

HCP_day_1_day_2 (0 predictors)

–

–

–

–

–

–

–

–

NKI_TR645 (19 predictors)

0.01

0.979

0.23

 < 0.001

0.01

 > 0.999

0.09

0.128

RUB (0 predictors)

–

–

–

–

–

–

–

–

UMN (0 predictors)

–

–

–

–

–

–

–

–

  1. Multiple linear regression analyses predicting general intelligence in other samples based on areas with non-zero effect sizes identified via elastic-net in one sample. Control variables were age, sex, age*sex, age2, age2*sex, handedness, total brain volume, and head motion. R2 = coefficient of determination. Multiple comparisons have been corrected using Bonferroni. p-values < 0.003 (= 0.05/16) are in boldface.
  2. Areas identified via elastic-net in one sample (left column) have been used as predictors for general intelligence in the other samples.
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