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Multi-scale brain simulation with integrated positron emission tomography yields hidden local field potential activity that augments machine learning classification of Alzheimer’s disease
View ORCID ProfilePaul Triebkorn, View ORCID ProfileLeon Stefanovski, View ORCID ProfileKiret Dhindsa, View ORCID ProfileMargarita-Arimatea Diaz-Cortes, Patrik Bey, View ORCID ProfileKonstantin Bülau, Roopa Pai, View ORCID ProfileAndreas Spiegler, View ORCID ProfileAna Solodkin, View ORCID ProfileViktor Jirsa, View ORCID ProfileAnthony Randal McIntosh, View ORCID ProfilePetra Ritter, for the Alzheimer’s Disease Neuroimaging Initiative
doi: https://doi.org/10.1101/2021.02.27.433161
Paul Triebkorn
1Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
2Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
3Institut de Neurosciences des Systèmes, Aix Marseille Université, Marseille, France
Leon Stefanovski
1Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
2Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
Kiret Dhindsa
1Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
2Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
Margarita-Arimatea Diaz-Cortes
1Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
2Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
Patrik Bey
1Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
2Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
Konstantin Bülau
1Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
2Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
Roopa Pai
1Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
2Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
4Bernstein Center for Computational Neuroscience Berlin, Germany
Andreas Spiegler
1Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
2Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
5Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
Ana Solodkin
6Neuroscience, Behavioral and Brain Sciences, UT Dallas. Richardson, TX, USA
Viktor Jirsa
3Institut de Neurosciences des Systèmes, Aix Marseille Université, Marseille, France
Anthony Randal McIntosh
7Baycrest Health Sciences, Rotman Research Institute, Toronto, Ontario, Canada
Petra Ritter
1Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
2Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology with Experimental Neurology, Brain Simulation Section, Berlin, Germany
4Bernstein Center for Computational Neuroscience Berlin, Germany
Posted March 01, 2021.
Multi-scale brain simulation with integrated positron emission tomography yields hidden local field potential activity that augments machine learning classification of Alzheimer’s disease
Paul Triebkorn, Leon Stefanovski, Kiret Dhindsa, Margarita-Arimatea Diaz-Cortes, Patrik Bey, Konstantin Bülau, Roopa Pai, Andreas Spiegler, Ana Solodkin, Viktor Jirsa, Anthony Randal McIntosh, Petra Ritter, for the Alzheimer’s Disease Neuroimaging Initiative
bioRxiv 2021.02.27.433161; doi: https://doi.org/10.1101/2021.02.27.433161
Multi-scale brain simulation with integrated positron emission tomography yields hidden local field potential activity that augments machine learning classification of Alzheimer’s disease
Paul Triebkorn, Leon Stefanovski, Kiret Dhindsa, Margarita-Arimatea Diaz-Cortes, Patrik Bey, Konstantin Bülau, Roopa Pai, Andreas Spiegler, Ana Solodkin, Viktor Jirsa, Anthony Randal McIntosh, Petra Ritter, for the Alzheimer’s Disease Neuroimaging Initiative
bioRxiv 2021.02.27.433161; doi: https://doi.org/10.1101/2021.02.27.433161
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