Table 4.

Correlations between DIPS-PMv functional connectivity and behavior (n = 17)

BehaviorBAHemiTal (x, y, z)Size (voxels)Zp
Positive correlations
    Personal space permeability4R48, 1, 171683.62 × 10−4
    4L−48, 2, 71003.28 × 10−4
    6/44L−46, 7, 24122.83 × 10−3
    Time spent with others6/44L−42, 7, 24483.43 × 10−4
    6R53, 4, 11233.27 × 10−4
    6/44L−40, 8, 7183.02 × 10−3
    Time preferred with others6/44L−44, 7, 24453.81 × 10−4
    6R53, 4, 11433.52 × 10−4
    6/44L−40, 8, 7393.11 × 10−3
Negative correlations
    Personal space size (D1)6/44L−46, 7, 24463.43 × 10−4
4R48, 1, 17613.11 × 10−3
6L−53, 2, 7122.64 × 10−3
  • Results are shown of the voxelwise regression analyses of the DIPS functional connectivity data, using each behavioral measure as a regressor. Clusters of voxels within PMv showing a significant (p < 0.01, cluster size >10 mm2) correlation between the behavioral measure and their connectivity with DIPS are listed (n = 17); Fig. 6. BA, Brodmann area; Hemi, hemisphere; Tal, Talaraich coordinates of peak correlation.