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Add ASD Classification project report - Issac Liu & Arshdeep#433

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Add ASD Classification project report - Issac Liu & Arshdeep#433
Ninja2656 wants to merge 4 commits into
school-brainhack:mainfrom
Ninja2656:main

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@Ninja2656 Ninja2656 commented Jun 23, 2026

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This PR adds the project report for the ASD Classification project by Issac Liu and Arshdeep,

Project Summary

This project uses resting-state fMRI data from the ABIDE dataset to classify individuals with Autism Spectrum Disorder (ASD) from typically developing (TD) controls using functional brain connectivity features and machine learning classifiers.

Files Added

  • content/en/project/asd-classification/index.md — Project report in BHS format
  • content/en/project/asd-classification/fmri-autism.jpg — Cover image

Project Details

  • GitHub repo: https://github.com/brainhack-school2026/ASD_Classification
  • Tags: asd, fmri, functional connectivity, machine learning, abide
  • Tools used: Python, Nilearn, Scikit-learn, Jupyter Notebook, GitHub
  • Key result: Ridge Classifier achieved 64% accuracy on ASD vs. TD classification (p < 0.01, permutation test)

This markdown file outlines a project focused on classifying Autism Spectrum Disorder using functional brain connectivity derived from resting-state fMRI data. It includes project details, methodology, tools used, results, and conclusions.
Updated project metadata and summary in index.md.
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