github

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

June 9, 2023

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.

Exploratory Work on the Predictive Clinical Neuroscience (PCN) Toolkit

July 29, 2022

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.

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

May 16, 2020

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

This is an example project page which serves as a template

May 16, 2020

Each project repository should have a markdown file explaining the background and objectives of the project, as well as a summary of the results, and links to the different deliverables of the project. Project reports are incorporated in the BHS website.

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

Exploratory Work on the Predictive Clinical Neuroscience (PCN) Toolkit

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

This is an example project page which serves as a template

For participants:

Some statistics

Filter by keywords