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Difference between revisions of "JIP fMRI Analysis Toolkit"
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* a tool for performing smoothing, registration, mapping (etc). using a command interpreter, | * a tool for performing smoothing, registration, mapping (etc). using a command interpreter, | ||
* MRI templates to place your data into standardized neuro-imaging spaces. | * MRI templates to place your data into standardized neuro-imaging spaces. | ||
| + | |||
| + | ==Organizations== | ||
| + | *[[Laboratory_for_Computational_Neuroimaging|Laboratory for Computational Neuroimaging]] | ||
==Links== | ==Links== | ||
[https://www.nmr.mgh.harvard.edu/~jbm/jip/ Website] | [https://www.nmr.mgh.harvard.edu/~jbm/jip/ Website] | ||
Latest revision as of 01:38, 6 April 2022
The JIP Toolkit was developed primarily for analysis of preclinical fMRI data, because the widely available neuro-imaging packages proved to be consistently bad at such tasks, although they may have become more flexible in recent years. The toolkit consists of binary executables, highly portable open-source c code, and image resources that enable
- automated registration based upon mutual information (affine, non-linear warps), with flexible control and visualization of each step,
- visualization of 4-dimensional data using either mosaic or tri-planar display, and integration of general linear models for graphical display of time series analysis,
- a simple and flexible 1st-order GLM for fMRI time series analysis,
- a GLM for PET analysis within the framework of the simplified reference tissue model,
- a 2nd-order GLM analysis following the Worsley 2002 scheme,
- a tool for performing smoothing, registration, mapping (etc). using a command interpreter,
- MRI templates to place your data into standardized neuro-imaging spaces.