BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis.

ABSTRACT: Advanced brain imaging analysis methods, including multivariate pattern analysis (MVPA), functional connectivity, and functional alignment, have become powerful tools in cognitive neuroscience over the past decade. These tools are implemented in custom code and separate packages, often requiring different software and language proficiencies. Although usable by expert researchers, novice users face a steep learning curve. These difficulties stem from the use of new programming languages (e.g., Python), learning how to apply machine-learning methods to high-dimensional fMRI data, and minimal documentation and training materials. Furthermore, most standard fMRI analysis packages (e.g., AFNI, FSL, SPM) focus on preprocessing and univariate analyses, leaving a gap in how to integrate with advan

SUBMITTER: Kumar M 

PROVIDER: S-EPMC6961866 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature