https://github.com/kamentsvetanov/CommonalityAnalysis

Commonality analysis for neuroimaging. Code supporting Wu et al, "Cerebral blood flow predicts multiple demand network activity and fluid intelligence across the lifespan".
https://github.com/kamentsvetanov/CommonalityAnalysis

commonality neuroimaging

Last synced: about 2 months ago
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Commonality analysis for neuroimaging. Code supporting Wu et al, "Cerebral blood flow predicts multiple demand network activity and fluid intelligence across the lifespan".

• Host: GitHub
• URL: https://github.com/kamentsvetanov/CommonalityAnalysis
• Owner: kamentsvetanov
• License: gpl-3.0
• Created: 2021-11-08T17:20:48.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-06-07T09:18:31.000Z (about 1 year ago)
• Last Synced: 2024-11-12T11:40:26.558Z (7 months ago)
• Topics: commonality, neuroimaging
• Language: MATLAB
• Homepage:
• Size: 17 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.asv
  • License: LICENSE

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README

        
## Commonality Analysis for Neuroimaging

Commonality analysis for neuroimaging. Code supporting Wu et al, "Cerebral blood flow predicts multiple demand network activity and fluid intelligence across the lifespan".

### Background

This voxel-wise GLM-like approach uses MATLAB's fitlm to save nii image of coefficients and p-values for each variable and residuals. This could be useful in instances with voxel-specific covariates. For example, in [Tsvetanov et al 2020](https://doi.org/10.1111/psyp.13714), we estimated variance explained and residuals in RSFA maps (across subjects) after controlling for regionally-speciffic effects of ASL maps, T1w maps in addition to other systemic effects.

We extended this voxel-wise approach to commonality analysis in [Wu et al 2022](https://www.sciencedirect.com/science/article/pii/S0197458022002044).

![image](./Figures/Figure_1.png)

### Dependencies

[SPM12](https://www.fil.ion.ucl.ac.uk/spm/software/spm12/) and [PALM](https://github.com/andersonwinkler/PALM).

Dependencies can be downloaded at https://github.com/kamentsvetanov/external/mat from the subfolders 'spm12' and 'palm'.

Other packages and functions integrated here are [rdir] and [MatlabTFCE](https://github.com/markallenthornton/MatlabTFCE)