Graph Theoretical Analysis of Brain Network Characteristics in Brain Tumor Patients: A Systematic Review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Neuropsychology and Physiological Psychology
Link
https://link.springer.com/content/pdf/10.1007/s11065-021-09512-5.pdf
Reference98 articles.
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2. Aerts, H., Fias, W., Caeyenberghs, K., & Marinazzo, D. (2016). Brain networks under attack: Robustness properties and the impact of lesions. Brain, 139(Pt 12), 3063–3083. https://doi.org/10.1093/brain/aww194
3. Aerts, H., Schirner, M., Dhollander, T., Jeurissen, B., Achten, E., Van Roost, D., & Marinazzo, D. (2020). Modeling brain dynamics after tumor resection using The virtual brain. NeuroImage, 213, 116738. https://doi.org/10.1016/j.neuroimage.2020.116738
4. Aerts, H., Schirner, M., Jeurissen, B., Van Roost, D., Achten, E., Ritter, P., & Marinazzo, D. (2018). Modeling brain dynamics in brain tumor patients using the virtual brain. eNeuro, 5(3). https://doi.org/10.1523/ENEURO.0083-18.2018
5. Ailion, A. S., Hortman, K., & King, T. Z. (2017). Childhood brain tumors: A systematic review of the structural neuroimaging literature. Neuropsychology Review.https://doi.org/10.1007/s11065-017-9352-6
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