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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).