I've been hearing a lot about how Bayesian approaches are now being applied to fMRI datasets, and recently found out that SPM8 offers this capability natively. Can anyone recommend first why this approach would be a useful alternative or addition to more traditional analyses? My understanding is that the Bayesian approach allows you to make a spatial prediction i.e. that you should see activation in this set of regions for condition A relative to condition B. Anyone who's used the technique, I'd really appreciate your perspective.
Hi John,
you can find many answers to your questions here: (Karl Friston is speaking..)
http://www.fil.ion.ucl.ac.uk/spm/doc/intro/#_I._Introduction
[... Statistical parametric mapping is generally used to identify functionally specialized brain responses and is the most prevalent approach to characterizing functional anatomy and disease-related changes. ...]
[... Statistical parametric mapping is a voxel-based approach, employing classical inference, to make some comment about regionally specific responses to experimental factors. In order to assign an observed response to a particular brain structure, or cortical area, the data must conform to a known anatomical space. ]
and here two very interesting articles:
https://www.researchgate.net/publication/230600054_Deconstructing_the_architecture_of_dorsal_and_ventral_attention_systems_with_dynamic_causal_modeling
https://www.researchgate.net/publication/24215693_Effective_connectivity_of_the_fronto-parietal_network_during_attentional_control
hope this helps!
bests
Alfredo
Article Deconstructing the Architecture of Dorsal and Ventral Attent...
Article Effective Connectivity of the Fronto-parietal Network during...
Thanks Alfredo! The references and the video is much appreciated
and more..
Bayesian model selection for group studies
Klaas Enno Stephan, Will D. Penny, Jean Daunizeau, Rosalyn J. Moran, Karl J. Friston. NeuroImage 46 (2009) 1004–1017
[... Bayesian model selection (BMS) is a powerful method for determining the most likely among a set of
competing hypotheses about the mechanisms that generated observed data.]
enjoy :D
Alfredo
some of answers are not quite right from statistical perspective.
Marcel Falkiewicz 's comments are not quite right.
Both Bayesian and frequestist have the same level of problems. Most top statisticians are frequensist. There are some fundamental reasons behind. I believe that most SPM methods are frequentist methods, even though SPM does contain some Bayesian methods.
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