TY - JOUR
T1 - Exploring functional relations between brain regions from fMRI meta-analysis data
T2 - Comments on Ramsey, Spirtes, and Glymour
AU - Neumann, Jane
AU - Turner, Robert
AU - Fox, Peter T.
AU - Lohmann, Gabriele
N1 - Funding Information:
We wish to thank Nihat Ay, Max Planck Institute for Mathematics in the Sciences, Leipzig, for very helpful discussions on graphical models. This work was supported by NIH Research Grant R01 MH74457 (PI: Peter T. Fox) and the Federal Ministry of Education and Research (BMBF), Germany ( FKZ 01EO001 ).
PY - 2011/7/15
Y1 - 2011/7/15
N2 - In this paper, we address the critical assessment of Ramsey et al. of our method for learning partially directed graphs from meta-analysis imaging data (Neumann et al., 2010). We argue that our method provides valid and interpretable results when applied to data representing a single experimental paradigm. Simulations further suggest that, despite theoretical limitations, the application of our method to mixed probability distributions yields reliable results with error rates at acceptable levels. Finally, we discuss the nature of meta-analysis data and the notion of causality in the context of functional neuroimaging.
AB - In this paper, we address the critical assessment of Ramsey et al. of our method for learning partially directed graphs from meta-analysis imaging data (Neumann et al., 2010). We argue that our method provides valid and interpretable results when applied to data representing a single experimental paradigm. Simulations further suggest that, despite theoretical limitations, the application of our method to mixed probability distributions yields reliable results with error rates at acceptable levels. Finally, we discuss the nature of meta-analysis data and the notion of causality in the context of functional neuroimaging.
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U2 - 10.1016/j.neuroimage.2010.11.012
DO - 10.1016/j.neuroimage.2010.11.012
M3 - Comment/debate
C2 - 21075207
AN - SCOPUS:79958751356
SN - 1053-8119
VL - 57
SP - 331
EP - 333
JO - NeuroImage
JF - NeuroImage
IS - 2
ER -