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By Kevin Jamey
August 7, 2022
To aim of this project was to provide a full neuroimaging workflow from preprocessing of raw data to visualisation of results, to explore longitudinal analysis between two treatments in this dataset and to visualise resting-state networks linked to the default mode network and attention. In my github repository you will find scripts and documentation about the the BIDS to NiFTY conversion, fMRI prep as well as resting-state visualisation of a single participant. There is also a powerpoint presentation slide to guide you through the work.
By Peter Brotherwood
August 6, 2022
Can functional connectivity data be used as a predictor for neuropsychiatric diagnosis? This project explores the usefulness of connectivity data in predicting ADHD, Bipolar Disorder, and Schizophrenia diagnoses using machine learning classification methods.
By Xanthy Lajoie
August 3, 2022
Sex differences in the language network is a long lasting and unresolved debate in the neuroscience field. Clinical studies have shown that pathologies or developmental conditions affecting language functions can differently affect individuals based on their sex. Although the language network is bilaterally organized, the left hemisphere is dominant for language in most individuals. However, this lateralisation tends to vary between sexes.In the present project, we address the research question on whether young adults present differences in the pattern of rs-fMRI functional connectivity within the language network based on their sex. To address this issue, we propose to determine whether we can classify healthy young adults, men and women, based on their rs-fMRI functional connectivity profiles within the language network.
By Andjela Dimitrijevic
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.
By Johanna Bayer
July 22, 2022
In this project I am trying to train and test a normative model on a neuroimaging data set containing twin longitudinal data. I want to look at both changes of deviations in z-scores over time and differences in z-scores between twins
By Dylan Sutterlin-Guindon, Marie-Eve Picard, Jeni Chen, Mathieu Landry, & Pierre Rainville
July 16, 2022
Painful experience involves a distributed pattern of brain activity. With hypnosis, it’s possible to increase or decrease pain. This project aims to decode fMRI pain-evoked brain activity and identify pattern of activity that are associated with specific hypnotic conditions
By Claudéric DeRoy
July 5, 2022
The goal of this project was to learn how to create code that would be easy to use for unexperienced users but also to be as more open as possible while also being replicable. So I took a code already written and scripted it, packaged it, made a Docker container for it, and finally created a guide on how to use it.
By Laurence Grenier
September 3, 2021
The goal of this project is to make a classification of the needs and desires states from studies fMRI data
By Catherine Landry
August 27, 2021
Can functional connectivity predict sensory deprivation? This project 1. explores neuroimaging data organization and preprocessing using open science tools and 2. uses a predictive model to classify whether a participant is hearing or not. For better visualization, the most contributing coefficients in the classifier are displayed on the brain.
By Marie-Eve Picard
What can our brain tells us about our facial expression in response to painful stimulus ? This projects aims to compare different regression algorithms to see if it is possible to predict facial expression of pain from fMRI data in healthy adults.
This is the project gallery from 2020-21. Find out how to create your project page using the example template.. All project repositories are part of the BHS github organization.
43 projects are currently displayed.
59 participants have uploaded their projects.
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