title: Nonadditive two-way ANOVA for event-related fMRI data analysis.
abstract: A significant recent development in functional magnetic resonance imaging (fMRI) is the introduction of event-related fMRI, also known as time-resolved fMRI. Because the exact shape of the MR response in an event-related fMRI experiment is often not known, traditional methods developed for block design experiments, such as t test and correlation analysis, are not well-suited for extracting activated pixels from the event-related data. In this work, a statistical technique based on nonadditive two-way analysis of variance is developed for use in event-related studies. Theoretical and experimental work were carried out for establishing a statistical threshold to determine pixel activation. Experimental studies were performed to demonstrate the utility of this approach.
authors.affiliation: Department of Radiology, University of Minnesota Medical School, Minneapolis, Minnesota 55455, USA.
authors.forename: W F
authors.initials: WF
authors.lastname: Auffermann
authors.forename: S C
authors.initials: SC
authors.lastname: Ngan
authors.forename: S
authors.initials: S
authors.lastname: Sarkar
authors.forename: E
authors.initials: E
authors.lastname: Yacoub
authors.forename: X
authors.initials: X
authors.lastname: Hu
mesh_terms: D000328:Adult; D000704:Analysis of Variance; D001143:Arousal / Q000502:physiology; D001288:Attention / Q000502:physiology; D001931:Brain Mapping; D002540:Cerebral Cortex / Q000502:physiology*; D003627:Data Interpretation, Statistical; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D007089:Image Enhancement; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000706:statistics & numerical data*; D008432:Mathematical Computing; D011597:Psychomotor Performance / Q000502:physiology