http://www.nitrc.org/forum/forum.php?forum_id=2886 <table border="0" width="100%"><tr><td align="left"/></tr></table> <p><b>Structural analysis of fMRI data: A surface-based framework for multi-subject studies.</b></p> <p>Med Image Anal. 2012 Feb 28;</p> <p>Authors: Operto G, Rivière D, Fertil B, Bulot R, Mangin JF, Coulon O</p> <p>Abstract<br/> We present a method for fMRI data group analysis that makes the link between two distinct frameworks: surface-based techniques, which process data in the domain defined by the surface of the cortex, and structural techniques, which use object-based representations of the data as opposed to voxel-based ones. This work is a natural surface-based extension of the volume-based structural approach presented in a previous paper. A multi-scale surface-based representation of individual activation maps is first computed for each subject. Then the inter-subject matching and the activation detection decision are performed jointly by optimization of a Markovian model. Finally, a significance measure is computed in a non-parametric way for the results, in order to assess their relevance and control the risk of type I error. The method is applied on simulated and real data and the results are compared to those produced by standard analyses. The surface-based structural analysis is shown to be particularly robust to inter-subject spatial variability and to produce relevant results with good specificity and sensitivity. We also demonstrate the advantages of the surface-based approach by comparing with the results of a 3D structural analysis.<br/> </p><p>PMID: 22465075 [PubMed - as supplied by publisher]</p> en-us Copyright 2000-2026 NITRC OSI Sun, 26 Apr 2026 18:13:39 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator