paperKB
coga / coga-kb
Help
Sign in

Chunk #47 — EXPERIMENTAL PROCEDURES — Statistical Analysis of Functional Imaging Data

Source
States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning.
Embedded
yes

Text

For the analysis about the consistency of SPE signal in pIPS and latPFC we insure independence of voxel selection by first identifying the cluster peaks in these regions for the SPE signal in the rewarded session 2. We then defined a spherical search volume (radius: 10mm) around these peaks and identified significant correlations (p < 0.05, family-wise error for the reduced search volume) between the SPE and the BOLD signal in the independent session 1. For a formal statistical test of identical voxels in session 1 and 2 that exhibit the correlation with the SPE signal we also employed a conjunction analysis (Nichols et al., 2005) at an uncorrected statistical threshold of p < 0.001.