June 2009

Data Processing Assistant for Resting-State fMRI (DPARSF) V1.0


Data Processing Assistant for Resting-State fMRI (DPARSF) is a convenient plug-in software based on SPM and REST. You just need to arrange your DICOM files, and click a few buttons to set parameters, DPARSF will then give all the preprocessed (slice timing, realign, nomalize, smooth) data, FC, ReHo, ALFF and fALFF results. DPARSF can also create a report for excluding subjects with excessive head motion and generate a set of pictures for easily checking the effect of normalization. You can use DPARSF to extract AAL or ROI time courses (or extract Gray Matter Volume of AAL regions, command line only) efficiently if you want to perform small-world analysis. This software is very easy to use, just click on buttons if you are not sure what it means, popup tips would tell you what you need to do. You also can download a MULTIMEDIA COURSE to know more about how to use this software. Add DPARSF's directory to MATLAB's path and enter "DPARSF" in the command window of MATLAB to enjoy it.

The latest release is DPARSF_V1.0_100510

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Multimedia Course: Data Processing of Resting-State fMRI

New features of DPARSF_V1.0_100510:
1. Added a right-click menu to delete all the participants' ID.
2. Fixed a bug in converting DICOM files to NIfTI in Windows 7, thanks to Prof. Chris Rorden's new dcm2nii.
3. Now will detect if co* T1 image (T1 image which is reoriented to the nearest orthogonal direction to 'canonical space' and removed excess air surrounding the individual as well as parts of the neck below the cerebellum) exists before normalization by using T1 image unified segmentation. T1 image without 'co' is also allowed in the analysis now.

New features of DPARSF_V1.0_100420:
1. After extracting ROI time courses, not just functional connectivity will be calculated, but also transform the r values to z values by Fisher's z transformation.
2. Fixed a bug in generating pictures for checking normalization when the bounding box is not [-90 -126 -72;90 90 108].

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Taxonomy upgrade extras: 

This week's papers of resting-state fMRI (PubMed's search result)

Although PubMed supplied the service for subscribers about the updates in some domain, I found not every researcher know its use.
So I would republish PubMed's search results of each week to reflect the development of resting-state fMRI.
I wish this could help some people get some most recent information. And I hope all the members of restfmri.net could also do this to share our research interest.

Taxonomy upgrade extras: 

Data correction because of physiological noise via linear regression possible?

 Dear rest-fmri team,
 I am wondering if it is possible with REST to correct my functional mri data first against noise-prone regions before I calculate the correlation map in the  "functional connectivity" setup.
 Such noise prone regions are for example white matter, ventricular time courses and the cerebrospinal fluid.

 So I would like to to something like: