Predicting time‐resolved electrophysiological brain networks from structural eigenmodes

Author:

Tewarie Prejaas1ORCID,Prasse Bastian2,Meier Jil3,Mandke Kanad4,Warrington Shaun5,Stam Cornelis J.6,Brookes Matthew J.1ORCID,Van Mieghem Piet2,Sotiropoulos Stamatios N.578,Hillebrand Arjan6

Affiliation:

1. Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy University of Nottingham Nottingham UK

2. Faculty of Electrical Engineering, Mathematics and Computer Science Delft University of Technology Delft The Netherlands

3. Department of Neurology, Brain Simulation Section Charité‐Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of Health Berlin Germany

4. Centre for Neuroscience in Education, Department of Psychology University of Cambridge Cambridge UK

5. Sir Peter Mansfield Imaging Centre, School of Medicine University of Nottingham Nottingham UK

6. Department of Clinical Neurophysiology and MEG Center Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience Amsterdam The Netherlands

7. Wellcome Centre for Integrative Neuroimaging (WIN‐FMRIB) University of Oxford Oxford UK

8. NIHR Biomedical Research Centre, University of Nottingham Nottingham University Hospitals NHS Trust Nottingham UK

Funder

H2020 European Research Council

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

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