This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Worsley, K J Search for Related Content PubMed PubMed Citation Articles by Worsley, K J Social Bookmarking                         What's this?

Detecting activation in fMRI data

Department of Mathematics and Statistics, and McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada, worsley{at}math.mcgill.ca

We present a simple approach to the analysis of fMRI data collected from several runs, sessions and subjects. We take advantage of the spatial nature of the data to reduce the noise in certain key parameters, achieving an increase in degrees of freedom for a mixed effects analysis. Our main interest is the analysis of the resulting images of test statistics using the geometry of random fields. We show how the Euler characteristic of the excursion set plays a key role in setting the threshold of the image to detect regions of the brain activated by a stimulus.

Statistical Methods in Medical Research, Vol. 12, No. 5, 401-418 (2003)
DOI: 10.1191/0962280203sm340ra


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?

This article has been cited by other articles:

				J.-K. Chen, K. M. Johnston, M. Petrides, and A. Ptito Neural Substrates of Symptoms of Depression Following Concussion in Male Athletes With Persisting Postconcussion Symptoms Arch Gen Psychiatry, January 1, 2008; 65(1): 81 - 89. [Abstract] [Full Text] [PDF]