Please forgive me for spamming the list. Here is an announcement for the
MICCAI workshop on fMRI data analysis. Right now, registration to the
workshop is low and the deadline for early bird registration is soon. If
you are interested in fMRI data analysis, don't miss this opportunity.
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fMRI data analysis workshop:
Statistical modeling and detection issues in intra- and inter-subject
functional MRI data analysis
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Early registration deadline (EXTENSION to Aug. 14th). See
http://www.miccai2009.org/ for rate details.
Organized by: Bertrand Thirion, Alexis Roche, Philippe Ciuciu and Tom
Nichols Workshop date: Thursday 24th September 2.00 – 5.30 pm
Overview of the workshop
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Functional MRI (fMRI) provides a unique view on brain activity, which is
used both for a better understanding of brain functional anatomy and the
assessment of various mental diseases. The analysis of fMRI data entails
detection issues, in which it has to be decided whether certain regions
shows an activity significantly correlated to some variables of interest.
This problem can be formulated in a given individual dataset (in which
case the variable of interest is the experimental paradigm) or in a
multi-subject dataset (the variable of interest is then a behavioral,
clinical, or genetic factor of interest). Moreover, this problem can be
handled as a modeling problem when addressing the temporal structure of
the BOLD response and various fluctuations observed in fMRI datasets, or
when delineating brain regions, especially across individuals, as well as
a statistical problem: for instance, a typical concern is to warrant a
certain control over false positives (specificity) for a testing
procedure, or to achieve an optimal compromise between sensitivity and
specificity by using judicious decision statistics.
While some of these questions may be familiar to the medical imaging
community, partly for historical reasons, the neuroimaging community has
developed specific contributions to solve these issues, and all the
questions mentioned above are still the object of active research. This
workshop should be an opportunity to discuss and evaluate several
solutions that have been proposed to solve these questions, and to
confront different points of view.
Preliminary Program: September 24th
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14:00-14:05 Welcome
14:05-14:50 Statistical perspective on fMRI data analysis (T. Nichols)
14:50-15:15 Multi-Group Functional MRI Analysis Using Statistical Activation Priors. Deepti R. Bathula, Lawrence H. Staib, Hemant D. Tagare, Xenophon Papademetris, Robert T. Schultz, and James S. Duncan.
15:15-15:40 Surface-based versus volume-based fMRI group analysis: a case study. Alan Tucholka, Merlin Keller, Jean-Baptiste Poline, Alexis Roche, and Bertrand Thirion.
15:40-15:50 Break
15:50-16:15 CanICA: Model-based extraction of reproducible group-level ICA patterns from fMRI time series G. Varoquaux, S. Sadaghiani, J.B. Poline, B. Thirion
16:15-16:40 Exploring the temporal quality of fMRI acquisitions B. Scherrer, O. Commowick, S. K. Warfield
16:40-16:50 Flash presentation (poster session)
16:50-17:30: Poster session & discussion
--
Gael Varoquaux
Research Fellow, INRIA
Laboratoire de Neuro-Imagerie Assistee par Ordinateur
NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France
++ 33-1-69-08-79-92
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