229 citations · 270 across the 4 of their papers we have counts for
4 papers
Stability of Spatial Smoothness and Cluster-Size Threshold Estimates in FMRI using AFNI
Robert W Cox, Paul A Taylor
In a recent analysis of FMRI datasets [K Mueller et al, Front Hum Neurosci 11:345], the estimated spatial smoothness parameters and the statistical significance of clusters were fo…
Heritability estimates on resting state fMRI data using the ENIGMA analysis pipeline
Bhim M. Adhikari, Neda Jahanshad, Dinesh Shukla +8
Big data initiatives such as the Enhancing NeuroImaging Genetics through Meta-Analysis consortium (ENIGMA), combine data collected by independent studies worldwide to achieve more…
FMRI Clustering and False Positive Rates
Robert W. Cox, Gang Chen, Daniel R. Glen +2
Recently, Eklund et al. (2016) analyzed clustering methods in standard FMRI packages: AFNI (which we maintain), FSL, and SPM [1]. They claimed: 1) false positive rates (FPRs) in tr…
FMRI Clustering in AFNI: False Positive Rates Redux
Robert W. Cox, Gang Chen, Daniel R. Glen +2
Recent reports of inflated false positive rates (FPRs) in FMRI group analysis tools by Eklund et al. (2016) have become a large topic within (and outside) neuroimaging. They conclu…