Table 2 Parametric regression of brain areas associated with value signals, error signals, entropy, and transition time-points.

From: Exploring Feature Dimensions to Learn a New Policy in an Uninformed Reinforcement Learning Task

Regressors

 

MNI Coordinate

Statistics

x

y

z

voxel #

Corrections

T

Pcorr

Value

rVS

9

12

−9

61

SVC [6 8 −4]13

5.80

p = 0.0126

vmPFC

0

33

−9

38

SVC [−3 33 −6]1

5.24

p = 0.0309

Error

lPutamen

−21

9

9

74

SVC [−24 6 9]11

5.33

p = 0.0011

rPutamen

27

−15

9

58

SVC [27 −13 10]11

7.49

p = 0.0280

Entropy

FPC

12

60

3

20

SVC [18 65 10]15

4.17

p = 0.0455

  1. SVC: small volume correction, all volumes were derived from previously published studies, cited respectively. Only clusters with pcorr <0.05 and cluster-size >10 voxels were reported, in SVC with a 10 mm radius sphere.
Back to article page