The danger of systematic bias in group-level FMRI-lag-based causality estimation.

Abstract:

:Schippers, Renken and Keysers (NeuroImage, 2011) present a simulation of multi-subject lag-based causality estimation. We fully agree that single-subject evaluations (e.g., Smith et al., 2011) need to be revisited in the context of multi-subject studies, and Schippers' paper is a good example, including detailed multi-level simulation and cross-subject statistical modelling. The authors conclude that "the average chance to find a significant Granger causality effect when no actual influence is present in the data stays well below the p-level imposed on the second level statistics" and that "when the analyses reveal a significant directed influence, this direction was accurate in the vast majority of the cases". Unfortunately, we believe that the general meaning that may be taken from these statements is not supported by the paper's results, as there may in reality be a systematic (group-average) difference in haemodynamic delay between two brain areas. While many statements in the paper (e.g., the final two sentences) do refer to this problem, we fear that the overriding message that many readers may take from the paper could cause misunderstanding.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Smith SM,Bandettini PA,Miller KL,Behrens TE,Friston KJ,David O,Liu T,Woolrich MW,Nichols TE

doi

10.1016/j.neuroimage.2011.08.015

subject

Has Abstract

pub_date

2012-01-16 00:00:00

pages

1228-9

issue

2

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(11)00902-5

journal_volume

59

pub_type

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