Repository for the final project for Probabilistic & Statistical Modeling (Spring 2024)
The project applies various statistical modeling methods to a subset of the fMRI data for tactile stimulation and imagery collected by Nierhaus et al. (2023).
- Decoding contains the script for applying Support Vector Machine classification via the Decoding Toolbox
- Connectivity analysis/GLM contains the scripts for specifying/estimating GLM and extracting time series
- Connectivity analysis/DCM-first-level contains the scripts for specifying/estimating DCM and conducting Bayesian Model Selection
- Connectivity analysis/DCM-second-level contains the scripts for group-level Bayesian Model Selection
Coding references
- Repo for the original analysis: https://github.com/Neurocomputation-and-Neuroimaging-Unit/Tactile_Imagery_Content_in_SI
- Hebart et al. (2015). The Decoding Toolbox (TDT): a versatile software package for multivariate analyses of functional imaging data: https://doi.org/10.3389/fninf.2014.00088
- Time series extraction: https://en.wikibooks.org/wiki/SPM/Timeseries_extraction
- SPM run concatenation: https://en.wikibooks.org/wiki/SPM/Concatenation
- DCM-PEB sample script: https://github.com/pzeidman/dcm-peb-example