paperImaging Neuroscience GitHubmibur1/comet docsreadthedocs
Brain-behaviour analyses involve a long chain of decisions: how to clean the data, which atlas to parcellate with, how to define connectivity, or how to model the association. Each step has several defensible options, and published papers often reports exactly one path through that decision space.
Multiverse analysis poses a different framework: instead of picking one pipeline, run all the defensible combinations and report the distribution of effects rather than a single point estimate. But implementing and running hundreds or thousands of pipelines in parallel is a lot of engineering, and simply creating many results does not really tell you anything about what to infer from them.
To that avail, we developed the Comet Toolbox, which is a Python package to help with these obstacles. It pairs a suite of network neuroscience methods, namely static and dynamic functional connectivity, graph-theoretical measures, and various data processing related features with a method-agnostic multiverse framework. This multiverse module wraps any analysis pipeline, so it isn’t limited to the methods that ship with the toolbox.
An example
To be continued…