Modeling brain dynamics after tumor resection using The Virtual Brain

Brain tumor patients scheduled for tumor resection often face significant uncertainty, as the outcome of neurosurgery is difficult to predict at the individual patient level. Recently, simulation of the activity of neural populations connected according to the white matter fibers, producing personal...

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Bibliographic Details
Published in:	NeuroImage (Orlando, Fla.) Vol. 213; p. 116738
Main Authors:	Aerts, Hannelore, Schirner, Michael, Dhollander, Thijs, Jeurissen, Ben, Achten, Eric, Van Roost, Dirk, Ritter, Petra, Marinazzo, Daniele
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 01.06.2020 Elsevier Limited Elsevier
Subjects:	Adult Age Aged Brain - surgery Brain cancer Brain Neoplasms - surgery Brain tumor Brain tumors Computational neuroscience Computer Simulation Connectome Connectome - methods Convulsions & seizures Epilepsy Female Fibers Functional connectivity Graph theory Hospitals Humans Image Processing, Computer-Assisted - methods Machine learning Magnetic Resonance Imaging Male Middle Aged Mimicry Models, Neurological Nervous system Neural networks Neuroinformatics Neurosurgery Neurosurgical Procedures - methods Oncology Patients Substantia alba Surgery Surgical outcomes Tumors User-Computer Interface Brain tumor Functional connectivity Graph theory Connectome Computational neuroscience Neuroinformatics
ISSN:	1053-8119, 1095-9572, 1095-9572
Online Access:	Get full text
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