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02. Installation

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Sofie Van Den Bossche edited this page Feb 12, 2020 · 1 revision

⚙️ Installation

Download

Click on the appropriate SPM plugin 🏷 to download the corresponding rsHRF GitHub repository as a .zip folder in Downloads. For each release version, the main modifications are listed, along with the 📅. The rsHRF GitHub repository will always contain the latest version of the SPM plugin (Jan 9, 2019: v2.0).

Release version:

rsHRF v1.0 🏷 📅 
!  Main modifications (M):

  • outlier removal: outliers based on the rsHRF RH can be deleted and interpolated accordingly by respectively using deleteoutliers.m and inpaint_nans3.m; the output files will then contain the Olrm abbreviation. Outlier removal is only legit when conducting a whole-brain analysis.

  • local peak detection: the parameter used for local peak detection (localK) has been modified with its value depending on the TR.

  • global parameter modification: some global parameters such as the interpolation method for outlier removal, can be adapted in wgr_rsHRF_global_para.m.

  • rsHRF estimation method: the rsHRF estimation method can be set to either canon2dd or (s)FIR.


rsHRF v2.0 🏷 📅 
!  Main modifications (M):

rsHRF v2.2 🏷 📅 
!  Main modifications (M):

Install as an SPM toolbox

  1. Extract the .zip folder and move it to ./SPM/toolbox/rsHRF: After downloading a specific SPM plugin 🏷 as a .zip folder in Downloads, you first have to extract the .zip folder and move the extracted folder, along with its content to ./SPM/toolbox/rsHRF.

    💡 You can do this by running rsHRF_install_SPM.m in the Command Window opened within the rsHRF folder.

.

which spm version?? * Run code in Command Window (within rsHRF folder) >> rsHRF_install_SPM --> SPM should be installed --> Codes will be copied to ./SPM/toolbox/rsHRF -- link to folder?? = spm('Dir') * Or add it into ./SPM/toolbox/

  1. Start rsHRF

  2. Start connectivity analysis

rsHRF_install_SPM %haha
<myxml>
   <someElement />  
</myxml>
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