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Structural-Functional-Rearrangement

Repository for the codes used in the study of structural and functional networks in brain tumors and surgery.

Research conducted by Joan Falcó-Roget, Fabio Sambataro, Alberto Cacciola and Alessandro Crimi [1,2]. Original raw data without nodule segmentation [3].

If you use this code or data please consider citing the following works:

[1] Falcó-Roget, J., et al. Functional and Structural Reorganization in Brain Tumors: A Machine Learning Approach Using Desynchronized Functional Oscillations. Communications Biology, 2024. DOI: https://doi.org/10.1038/s42003-024-06119-3

[2] Falcó-Roget, J., Crimi, A. Bayesian Filtered Generation of Post-surgical Brain Connectomes on Tumor Patients. Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022. DOI: https://doi.org/10.1007/978-3-031-21083-9_8

[3] Aerts, H., et al. Pre- and post-surgery brain tumor multimodal magnetic resonance imaging data optimized for large scale computational modelling. Scientific Data, 2022. DOI: https://doi.org/10.1038/s41597-022-01806-4

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Repository for the data and codes used in the study of structural and functional networks in brain tumors and surgery. Research conducted by Joan Falcó-Roget, Fabio Sambataro, Alberto Cacciola and Alessandro Crimi.

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