229 citations · 280 across the 3 of their papers we have counts for
3 papers
Processing, evaluating and understanding FMRI data with afni_proc.py
Richard C. Reynolds, Daniel R. Glen, Gang Chen +3
FMRI data are noisy, complicated to acquire, and typically go through many steps of processing before they are used in a study or clinical practice. Being able to visualize and und…
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…