The Addiction Connectome Preprocessed Initiative (ACPI) aims to facilitate the image processing and analysis of datasets generated by NIDA investigators, with a particular focus on the determination of robustness to preprocessing decisions. In this regard, we are providing 8 preprocessed versions of the resting state fMRI datasets provided by contributors:
The 8 pipelines differ with respect to the specific steps employed as follows:
In addition to 4D voxelwise data in nifti format, roi based average representations of the data are also available.See here for the masks. The following parcellations were used:
Initiative Founders: Michael P. Milham, Cameron Craddock
Project Coordinators: Michael P. Milham
Pipeline Support: Configurable Pipeline for Analyzing Connectomes (CPAC)
Preprocessing Strategy Design: Preprocessed Connectomes Project (PCP)
Data Aggregation and Organization: David O’Connor
Website: David O'Connor
Database Support: Cameron Craddock, Daniel Clark, David O'Connor, Amazon Web Services
The ACPI is primarily supported by a grant supplement (R01 MH094639) provided to PI Milham by the National Institute on Drug Abuse (NIDA). Additional support provided by the Child Mind Institute and the Nathan Kline Institute.