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 | Meβ | 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 | |