This repo was built on the occasion of the NeuroMatch Academy 2020. Me and my group were working with the Human Connectome Project (HCP) database which has resting-state and tasked-evoked fMRI scanner sessions as well as behavioural data.
Dependencies
Fan Q, Witzel T, Nummenmaa A, Van Dijk KR, Van Horn JD, Drews MK, Somerville LH, Sheridan MA, Santillana RM, Snyder J, Hedden T, Shaw EE, Hollinshead MO, Renvall V, Zanzonico R, Keil B, Cauley S, Polimeni JR, Tisdall D, Buckner RL, Wedeen VJ, Wald LL, Toga AW, Rosen BR. MGH-USC Human Connectome Project datasets with ultra-high b-value diffusion MRI. Neuroimage 2016;124(Pt B):1108-1114.
Finn ES, Shen X, Scheinost D, Rosenberg MD, Huang J, Chun MM, Papademetris X, Constable RT. (2015) Functional connectome fingerprinting: Identifying individuals using patterns of brain connectivity. Nature Neuroscience, 18: 1664–1671.
Shen X, Finn ES, Scheinost D, Rosenberg MD, Chun MM, Papademetris X, Constable RT. (2017). Using connectome-based predictive modeling to predict individual behavior from brain connectivity. Nature Protocols 12: 506-18.
| Run | View | |
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| CNN for predicting gender using resting-state |  |
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| Using resting-state to predict behavioural performance | |
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| PCA, dynamic FC, Ridge Regression | |
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