AFNI has three major avenues to running a single subject analysis. 1) You can use uber_subject.py to configure the analysis in a Graphical User Interface (GUI); 2) You can use afni_proc.py to specify the analysis using the command line; 3) You can write your own command line commands in your own script, which calls each […]
Single Subject Analysis in AFNI
https://blog.cogneurostats.com/2013/05/29/single-subject-analysis-in-afni/
Basics of DTI Analysis (FSL)
FSL has a complete pipeline for converting Diffusion Weighted Images (DWI) to Diffusion Tensor Images (DTI) using one of two pipelines: 1) “Tract-Based Spatial Statistics” or 2) Probabilistic Tractography (via Bedpostx and probtrackx). The graphic below shows a rough overview of each. The analysis with FSL is fairly straight forward. If you wish, you can […]
https://blog.cogneurostats.com/2013/05/28/basics-of-dti-analysis-fsl/
Quality Checking fMRI
You can never be too careful in terms of data quality. AFNI offers a number of checks on the data via the automated @ss_review_basic and @ss_review_driver generated by afni_proc.py. But occasionally you need more information! And also if you’re comparing data across multiple scanners, it’s not a bad idea to have some of these numbers […]
https://blog.cogneurostats.com/2013/05/23/quality-checking-fmri/
Source Code Available
Some time ago, I made available a series of custom-built software packages for helping perform EEG/ERP Analysis. I have now finished uploading the source code to my github repository. All of the programs were written in Objective-C, many of them fairly early in my programming career (forgive the comments or lack of comments!). If you […]
https://blog.cogneurostats.com/2013/05/21/source-code-available/