Representational similarity analysis uses the relationship of brain activation patterns to learn something about the representations in different brain regions. In this workshop, we will provide a overview of the critical choices you have to make in this analysis, highlight some common pitfalls and present some state of the art approaches with examples from the RSA toolbox (https😕/rsatoolbox.readthedocs.io/en/stable/).

The workshop will cover the conceptual foundations of Bayesian estimation and hypothesis testing. I will step through the application of these methods to basic behavioural and functional neuroimaging data.

Participants will gain a practical understanding of functional near-infrared spectroscopy (fNIRS), including system setup and live demonstration, core principles, key considerations in experimental design, data handling and preprocessing, and an overview of current applications.

This tutorial offers an interactive dive into neuroanatomy through a clinical case, with a focus on subcortical regions of interest. Participants will gain hands-on experience with segmentation tools like ITK-SNAP and learn to visualize subcortical structures using ultra-high field MRI. No previous experience with ITK-SNAP is required (http😕/www.itksnap.org/pmwiki/pmwiki.php?n😄ownloads.SNAP4)

This hands-on workshop introduces the fundamentals of preregistration, offers guided practice using a customizable OSF template, and includes opportunities for attendees to bring their own research protocols for peer feedback and refinement. It also covers how to manage protocol changes after publishing a preregistration, ensuring participants leave confident using this flexible tool to make their research more transparent and reproducible.

This tutorial will cover best practices for managing research code with the ultimate goal of sharing it. Aspects of Git and GitHub, including version control, branching, collaborations, etc. will be covered.

Using a workflow management tool to run your research analyses can make it much easier to remember what you've done with your data, make small adjustments, and describe your analyses to others in a reproducible way. In this tutorial, you'll learn about what a workflow management tool is, why you might want to use one, and how to write your analyses as workflows. As an example, we'll go over SnakeBIDS, a Western-grown workflow management tool for handling BIDS-formatted neuroimaging data.

HippUnfold is a toolbox for automatically modeling the topological folding structure of the human hippocampus. This session will introduce its key features, including running HippUnfold, exploring volumetric and surface-based outputs, and integrating results with tools like ITK-SNAP and Connectome Workbench. We will also discuss applications to structural, fMRI, and dMRI data. No prior experience with HippUnfold is required. Links: https😕/github.com/khanlab/hippunfold

A practical, no-theory guide to training deep learning models on neuroimaging data with zero experience. This tutorial covers MONAI, the leading AI framework for medical imaging, simplifying tasks like segmentation and classification. With pre-trained models, automated pipelines, and MONAI Zoo, you’ll apply deep learning to neuroscience research effortlessly—Python experience is required. Requirements: Create an account on Kaggle and validate using your phone number (to be able to access free GPUs).

Many experiments require rapid prototyping for custom lab setups. While the classic “tape and spare parts” method works in a pinch, 3D printing offers a faster, more precise, and far more robust alternative. In this workshop, we’ll cover the essentials of 3D printing technologies and materials, followed by a hands-on tutorial using free, browser-based 3D design software. As a bonus, you’ll also learn how to transform your own structural MRI data into a custom 3D-printable model!

This workshop centers around the best practices in the approach and conduct of data collection. This will include ethical considerations, how to effectively recruit participants and reduce attrition, improve your communication skills, and how these practices can make you a better researcher.