Over the years, multiple cohorts of ReproNim Fellows have developed a diverse collection of training materials and educational resources (“training products”). We aim to organize, curate, and make these resources publicly accessible for broader community benefit.

Goals for the Brainhack project: • Goal 1: Complete the sorting and categorization of the ReproNim training products to create a structured, searchable collection (at the moment in a google sheet) . • Goal 2: Brainstorm and prototype a platform or website that enables users to browse, filter, and explore these resources based on tags such as topic, format, or audience.

This is a newly released toolbox for performing brain connectivity-behavior analysis with statistical inference at the network-level. The current toolbox includes canonical area/network parcellations in adult and pediatric cohorts and offers a variety of statistical testing options supporting single group or between group comparisons. Our goal is to get feedback from potential users to maximize the toolbox's usability among the neuroimaging community. Goal 1: Get feedback on usability for most basic use case (use GUI on provided data to run model and view results) Goal 2: Run GUI software with custom connectivity and behavior/clinical outcome data from user

Our team is making neuroimaging meta-analyses quicker and easier. We have a platform for you to search and curate studies, specify meta-analyses, and execute/record your results. This year we used large language models to extract information from studies and display the results to users. The projects/goals this year are:

• Test the new features we have added
• Suggest/implement pipelines for extracting information from papers
• Add documentation for the extraction pipelines
• Give feedback on tutorials
• extract coordinates from pdf files in semantic scholar