title: Resting-state fMRI data reflects default network activity rather than null data: A defense of commonly employed methods to correct for multiple comparisons.
abstract: Analysis of functional magnetic resonance imaging (fMRI) data typically involves over one hundred thousand independent statistical tests; therefore, it is necessary to correct for multiple comparisons to control familywise error. In a recent paper, Eklund, Nichols, and Knutsson used resting-state fMRI data to evaluate commonly employed methods to correct for multiple comparisons and reported unacceptable rates of familywise error. Eklund et al.'s analysis was based on the assumption that resting-state fMRI data reflect null data; however, their 'null data' actually reflected default network activity that inflated familywise error. As such, Eklund et al.'s results provide no basis to question the validity of the thousands of published fMRI studies that have corrected for multiple comparisons or the commonly employed methods to correct for multiple comparisons.
authors.affiliation: a Department of Psychology , Boston College , Chestnut Hill , MA , USA.
authors.forename: Scott D
authors.initials: SD
authors.lastname: Slotnick
mesh_terms: D001931:Brain Mapping / Q000592:standards*; D003627:Data Interpretation, Statistical; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000592:standards*; D008279:Magnetic Resonance Imaging / Q000592:standards*
keywords: clusterwise inference; default network; fMRI; false cluster; false positive; familywise error; multiple comparisons; type I error