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Table 1 Regional correlation coefficients of individual PCs 1 with Mean Component Images 1 and 2.

From: Neural networks engaged in tactile object manipulation: patterns of expression among healthy individuals

  Scan 12 MCI 1 MCI 2 Scan 22 MCI 1 MCI 2
Subject PC |ecc| rcc rcc PC |ecc| rcc rcc
S1 5 0.62 0.92 -0.13 5 0.36 0.82 -0.20
  7 0.34 -0.10 0.53 6 0.49 -0.49 0.16
S2 3 0.28 -0.03 -0.31 4 0.29 0.12 0.20
  5 0.45 -0.24 0.90 5 0.34 -0.18 0.84
  6 0.46 0.84 -0.22 6 0.60 -0.89 0.20
S3 2 0.36 0.27 -0.36 2 0.56 -0.20 0.94
  4* 0.26 -0.11 0.89     
  6 0.28 0.28 -0.21     
  11 0.27 -0.17 -0.09     
S4 8 0.30 -0.39 -0.03     
  10 0.48 -0.31 0.29     
S5 4 0.53 -0.72 0.07 6 0.61 0.84 -0.03
  6 0.42 0.66 -0.24 14 0.33 -0.32 0.38
S6 3 0.33 -0.37 0.25 4 0.36 - 0.70 0.17
  4 0.55 -0.86 0.36 5 0.54 -0.80 0.27
  8 0.32 - 0.42 0.17 10 0.33 -0.33 -0.20
S7 14 0.29 -0.28 0.03 9 0.40 -0.60 0.05
  20 0.38 - 0.35 0.03 12 0.33 -0.19 0.19
  26 0.29 0.21 0.17 18 0.40 -0.35 0.06
  1. 1 33 PCs with significant temporal expression coefficient correlation (ecc) resulting from the two scans in the seven individuals are shown. 2 Regional correlation coefficients (rccs) included in the computation of the mean images are in bold. PC: principal component; MCI: mean component image; *: PC with marginally significant ecc, introduced in the calculation because of the very high within subject rcc (0.78).