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Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of a large-scale multisite dataset

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Mutliscale brain aging patterns

This repository contains the codes and example data underlying our recent papers:

Zhou, Zhen, et al. "Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study." NeuroImage (2023): 119911.

Zhou, Zhen, et al. "Harmonization of multi-site functional connectivity measures in tangent space improves brain age prediction." Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging. Vol. 12036. SPIE, 2022.

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When you encounter issues

This code was written by a single person as a research project.

I am currently still in the process of setting-up / testing this repository and adding more comments here. If you encounter any bugs, please open a respective GitHub Issue; I will try my best to fix them in time!

We developed a Matlab-based toolbox (pNet, https://github.com/YuncongMa/pNet) which can provide a user-friendly interface to perform personalized functional network computation using the same method. Please help testing and all feedbacks are welcomed.

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Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of a large-scale multisite dataset

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