GNU GPL v2
Yes
NITRC
Advanced Connectivity Analysis (ACA): a large scale functional connectivity data mining environment
Yes
Using resting-state functional magnetic resonance imaging (rs-fMRI) to study functional connectivity is of great importance to understand normal development and function as well as a host of neurological and psychiatric disorders. Seed-based analysis is one of the most widely used rs-fMRI analysis methods. Here we describe a freely available large scale functional connectivity data mining software package called Advanced Connectivity Analysis (ACA). ACA enables large-scale seed-based analysis and brain-behavior analysis. It can seamlessly examine a large number of seed regions with minimal user input. ACA has a brain-behavior analysis component to delineate associations among imaging biomarkers and one or more behavioral variables.
2015-10-20
ACA v1.1
2015-7-22
aca_v1.0
Advanced Connectivity Analysis (ACA): a large scale functional connectivity data mining environment
GNU GPL v2, MR
http://www.nitrc.org/projects/aca_rc/, http://www.nitrc.org/projects/aca_rc/