Table 2 Areas displaying differential activity to unexpected punishment (vs. expected reward) following optimistic expectancies compared with unexpected reward (vs. expected punishment) following pessimistic expectancies in the visual search phase predicting asymmetric attention deployment following optimistic compared with pessimistic expectancies indicated by RTs (DiffGainCue > DiffLossCue). Scatterplots displaying the relation between behavioral and neural asymmetry for each area can be found in the supplementary materials (Supplementary Figure 1).

From: The effect of optimistic expectancies on attention bias: Neural and behavioral correlates

H

Brain Structure

k

x

y

z

tmax

p

 

M

tAs

PAs

Positive Correlation

Cue

Gain

Gain

Loss

Loss

  

Whole-Brain Analysis (FWE corrected)

Target

Gain

Loss

Gain

Loss

  

L

IFGop, PreCG

72

−40

4

28

7.56

<.001

 

11.75

16.65

16.59

13.39

1.57

.062

L

PreCG

32

−42

−6

45

7.27

<.001

 

10.34

12.91

13.03

11.48

1.26

.106

B

SMA, SFG, MeFG

61

0

10

60

6.83

.001

 

11.78

17.16

16.59

13.55

1.99

.026

L

SPL, IPL

18

−26

−55

45

6.66

.002

 

17.95

22.82

22.72

19.06

1.24

.110

L

SPL, SOG

10

−20

−71

40

6.59

.002

 

18.12

22.94

22.17

19.02

1.69

.049

R

IFGop, PreCG

12

43

2

30

6.45

.004

 

12.56

15.73

15.96

13.30

0.54

.297

L

PreCG, MFG

16

−30

−6

55

6.2

.010

 

16.24

20.38

19.86

17.15

1.63

.055

Region-of-Interest Analysis (FDR corrected)

       

Salience Network

L

SMA, DACC, MeFG

41

−6

8

53

6.49

.002

 

18.39

23.36

23.07

19.39

1.50

.070

L

AI

38

−30

23

8

5.47

.018

 

13.63

17.41

16.84

14.63

1.48

.072

R

SMA, DACC, SFG, MeFG

63

9

10

53

5.35

.027

 

13.02

16.10

15.28

13.76

1.79

.040

Executive Control Network

L

IFGop, MFG, PreCG

187

−40

4

28

7.56

.001

 

11.75

16.65

16.59

13.39

1.57

.062

L

SMA, SFG

25

−4

8

55

6.23

.004

 

20.42

26.67

26.31

21.96

2.06

.022

R

IFGop, PreCG

41

41

4

30

6.05

.006

 

15.30

19.50

19.62

16.43

0.98

.166

L

SPL, IPL

235

−22

−71

38

6.04

.006

 

18.63

23.61

23.04

19.36

1.15

.128

L

SFG, MeFG

38

−22

−2

58

5.55

.018

 

16.78

20.71

20.09

17.81

2.20

.016

Negative Correlation

       

Whole-Brain Analysis (FWE corrected)

       

L

IPL, STG

48

−61

−57

25

6.39

.005

 

−10.63

−13.06

−10.37

−11.67

−2.55

.007

Region-of-Interest Analysis (FDR corrected)

       

Salience Network

R

IPL

59

−59

−39

40

5.91

.018

 

−16.78

−20.00

−18.13

−17.31

1.59

.060

Executive Control Network

L

IPL

36

−57

−39

43

5.77

.021

 

−13.88

−16.26

−13.90

−14.21

1.88

.033

R

MFG

47

43

21

48

5.50

.030

 

−10.08

−9.36

−7.34

−10.33

−1.56

R

MTG

14

64

−53

8

5.45

.030

 

−6.98

−9.73

−8.37

−7.81

1.72

.046

  1. Note. All coordinates (x, y, z) of peak voxel activation are given in Montreal Neurological Institute (MNI) space. H = hemisphere; L = left, R = right, B = bilateral; k = cluster size in number of voxels (voxel size = 2 ×2 ×2.5 mm); M = mean estimated beta, tAs and pAs refer to t and p values related to our asymmetry hypothesis (see Methods and Materials for details). pAs is not specified for those t values that are incongruent with our hypothesis. For exploratory whole-brain analyses, a clustering threshold of p < 0.05, whole-brain FWE corrected, and an additional cluster-extent threshold of 10 voxels was used; ROI analyses involved FDR correction, with an additional cluster-extent of 10 voxels. AI = Anterior Insula, DACC = Dorsal Anterior Cingulate Cortex, IFGop = Inferior Frontal Gyrus - pars opercularis, IPL = Inferior Parietal Lobule, MeFG = Medial Frontal Gyrus, MFG = Middle Frontal Gyrus, MTG = Middle Temporal Gyrus, PreCG = Precentral Gyrus, SFG = Superior Frontal Gyrus, STG = Superior Temporal Gyrus, SOG = Superior Occipital Gyrus, SMA = Supplementary Motor Area, SPL = Superior Parietal Lobule, STG = Superior Temporal Gyrus.