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rimehi / NPBayes_fMRI

Bayesian Non-Parametric Spatio-Temporal Models for fMRI data
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Resting-state analysis possible? #5

Open lrq3000 opened 5 years ago

lrq3000 commented 5 years ago

Hello,

I just discovered your toolbox and papers, that's a very exciting tool! Do you think it would be possible to use resting-state data with the toolbox? Complementary but not mandatory for me, how flexible is the toolbox, can I potentially use my own nifti files (1st-level results covering the correlation between specific seeds/ICA networks) generated by other softwares such as CONN or nipy?

Thank you very much in advance

lrq3000 commented 5 years ago

To precise my question, the denoising of resting-state data is already done, I just need to be able to do the statistical test at 2nd-level. Would the toolbox work if I simply design the experiment so I have only one task (resting-state)? Also does it support both between-subjects and within-subjects analyses?

rimehi commented 5 years ago

Hi Stephen,

Thank you for showing interest on my toolbox. Because the main objective of the model is to infer functional connectivity based on a task based experiment, I'm not sure if the model would be suitable for a resting-state experiment (in which I assume you would want to model interactions between different brain regions - effectivce connectivity). However, the model should run if you model the experiment to have one task activated throughout all time points. If you have multiple subjects, it will give you activations at the subject level, and allow you to group subjects based on them. However, Im not sure if it will give you meaningful results.

Best,

Eric Kook

On Sat, Jun 29, 2019 at 11:31 AM Stephen L. notifications@github.com wrote:

To precise my question, the denoising of resting-state data is already done, I just need to be able to do the statistical test at 2nd-level. Would the toolbox work if I simply design the experiment so I have only one task (resting-state)? Also does it support both between-subjects and within-subjects analyses?

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lrq3000 commented 4 years ago

@rimehi Thank you very much for your fast reply, I will think more in-depth about it and if the results would be meaningful, thank you for the interesting points :-)