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Github

The Friends Compendium: A brief visual and statistical description of FRIENDS

The main goal of this brainhack project and the website is to do basic statistical analyses to the friends annotations data and to present the results in the form of visualisations. These analyses will provide better context and information about the stimuli on different levels of analyses. Here is the github for the website.

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Multimodal spine multiple sclerosis segmentation

This project presents an open-source pipeline for segmenting multiple sclerosis lesions in the spinal cord using multimodal MRI data. Built for the MS-Multi-Spine Challenge, it combines nnUNet, the Spinal Cord Toolbox, Docker, and Boutiques for reproducibility and ease of use. The pipeline includes preprocessing, inference, and post-processing steps, and is packaged with full documentation and containerization to support future research and clinical applications in spinal cord imaging.

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Investigating the effect of alpha band on TRFs

In our study of three participants, removing the alpha band affected TRFs, with some features being suppressed and others enhanced. This simplification highlighted local signals, making brain activity clearer. However, it’s unclear if these enhanced signals represent true brain activity or noise, requiring further analysis for validation.

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Analyzing variability of working memory and reward processing in children with and without ADHD using fMRI data

The focus of our project was to gain experience using neuroimaging tools to preprocess, analyze, and visualize functional MRI data. We aimed to explore differential variability in brain connectivity among children with and without ADHD. Project reports are incorporated on the BHS website.

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Using a machine learning model trained on functional connectivity patterns to predict ADHD

This project uses functional magnetic resonance imaging data to study the connectivity of children with Attention Deficit Hyperactivity Disorder (ADHD).A set of children diagnosed with ADHD were given a series of memory tasks while undergoing MRI scans. In this project, data from one of these tasks was used to calculate connectivity matrices for 65 subjects from that data set and a machine learning model was trained. The data was downloaded from Openneuro website.

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The Effects of Word Frequency, Orthographic Neighborhood and Part of Speech in Word Processing: A MEG Study

Word processing is influenced by different attributes of words, which can be observed vis brain imaging techniques such as MEG. Let’s find evidence of the influence of word attributes by analyzing a dataset.

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Exploratory Work on the Predictive Clinical Neuroscience (PCN) Toolkit

My project consists of exploring the predictive normative modelling (PCN) toolkit via their numerous tutorials. It contains a markdown file for future new users of this package. It also includes steps on how to format your own data to use this toolkit. Finally, some cloud computing user guides will be touched upon.

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Resting State Functional network connectivity changes in reward network of adoloscents who are at risk for addiction.

This project will walk you through visualizing functional network connectivity based on a custom mask of ROIs of interest and visualize those network changes across time

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