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Subject:

fMRI workshop -- MICCAI 2009 -- call for contributions

From:

Bertrand Thirion <[log in to unmask]>

Reply-To:

Bertrand Thirion <[log in to unmask]>

Date:

Thu, 14 May 2009 18:34:23 +0100

Content-Type:

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*********************************************************************************************
CALL FOR PAPERS
Statistical modeling and detection issues in intra- and inter-subject
functional MRI data analysis
(In conjunction with MICCAI 2009)
London, UK, September 24, 2009
(http://collaborations.saclay.inria.fr/parietal/fMRI2009/)
*********************************************************************************************

Overview

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.

Topics

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. More precisely, contributions will be encouraged on the
following topics:

* Modeling the fMRI signal (BOLD response, physiological confounds,
spontaneous activity), and embedding new signal models in
activation detection procedures.

* The interplay between continuous activity maps and structural
descriptions of fMRI datasets (regions of interests, brain
ontologies).

* The evaluation of frequentist thresholding procedures (univariate
or cluster-based, using family-wise error or false discovery rate
control, parametric versus non-parametric procedures, etc.).

* The use of Bayesian decision theory to threshold fMRI maps and its
comparison to the frequentist counterpart.

* The use of new paradigms to detect the presence of task-related
signal modulation, such as classification techniques applied in
variable regions of interests.

* Evaluating the reliability of the detected fMRI activation patterns.

* The comparison of fMRI data with behavioral and genetic data.

Note that this workshop is not restricted to the above mentioned
issues and could encompass the comparison of anatomical, diffusion
and functional MRI, anatomical and functional connectivity.


Key dates:

* Paper Submission: June 8^th , 2009

* Notification of Paper Acceptance: July 13^th , 2009

* Final Submission: August 9^th , 2009

* Workshop: Thursday 24th September 2.00  5.30 pm


Submissions:

have to follow the MICCAI formating guidlines
<http://ubimon.doc.ic.ac.uk/MICCAI09/m741.html> with the exception of the
anonymity guidelines. Manuscripts will receive a single-blinded review (the
name of the reviewers will not be revealed). Each review will consist of up
to three experts' opinion.


Chairs

* Bertrand Thirion (INRIA Saclay), [log in to unmask]
<mailto:[log in to unmask]>

* Alexis Roche (CEA neurospin)

* Philippe Ciuciu (CEA Neurospin)

* Thomas Nichols (GSK) 

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