Nonadditive two-way ANOVA for event-related fMRI data analysis

William F. Auffermann, Shing Chung Ngan, Shantanu Sarkar, Essa Yacoub, Xiaoping Hu

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)406-416
Number of pages11
Issue number2
StatePublished - 2001

Bibliographical note

Funding Information:
1Work Supported by the National Institutes of Health (Grants RR08079, RO1MH55346, and R03MH59245), and the Whitaker Foundation (Graduate Fellowships in Biomedical Engineering).


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