Brain Connectome Analysis Project
Muhammad Zeeshan Asghar
Brain Connectome Analysis
This repository contains code and analysis for studying the human brain's structural connectome using network science techniques. The project investigates graph properties, community detection, signal propagation, and the impact of simulated interventions like transcranial magnetic stimulation (TMS).
Table of Contents
Data
Preprocessed brain connectome data (at multiple resolutions).
Node attributes (positions, regions, functions).
Analysis
Graph metrics (clustering, path lengths, centrality).
Community detection algorithms (Louvain, Leiden, spectral clustering).
TMS simulation models (heat diffusion, random walks).
Visualizations
3D brain connectome plots.
Community structure visualizations.
Signal propagation heatmaps.
Methods
Parameter optimization for clustering algorithms.
Statistical comparisons of community detection results.
Key Features
Network Analysis:
Calculation of global and local graph properties (clustering, modularity, assortativity).
Identification of critical hub nodes using centrality measures.
Community Detection:
Comparison of 10+ algorithms (Louvain, Leiden, MCL, etc.).
Validation against anatomical brain regions.
TMS Simulation:
Edge weighting based on spatial distances.
Propagation models for therapeutic stimulation effects.
Dependencies
Getting Started
Clone the repository:
Install dependencies:
Contributing
Contributions are welcome! Open an issue for:
Bug reports.
Feature requests.
Dataset improvements.
License
MIT License
Copyright (c) 2023 [Yolo Popo]
Let me know if you'd like to expand any section!
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Posted Jul 28, 2025
Analyzed human brain's structural connectome using network science techniques.
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