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Network efficiency predicts resilience to cognitive decline in elderly at risk for Alzheimer’s

Florian U. Fischer, Dominik Wolf, Andreas Fellgiebel, for the Alzheimer’s Disease Neuroimaging Initiative
doi: https://doi.org/10.1101/2020.02.14.949826
Florian U. Fischer
aUniversity Medical Center Mainz, Mainz, Germany, Department of Psychiatry and Psychotherapy, Untere Zahlbacher Str. 8, 55131 Mainz
bCenter for Mental Health in Old Age, Landeskrankenhaus (AöR), Mainz, Germany, Hartmühlenweg 2-4, 55122 Mainz
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  • For correspondence: florian.fischer@unimedizin-mainz.de
Dominik Wolf
aUniversity Medical Center Mainz, Mainz, Germany, Department of Psychiatry and Psychotherapy, Untere Zahlbacher Str. 8, 55131 Mainz
bCenter for Mental Health in Old Age, Landeskrankenhaus (AöR), Mainz, Germany, Hartmühlenweg 2-4, 55122 Mainz
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Andreas Fellgiebel
aUniversity Medical Center Mainz, Mainz, Germany, Department of Psychiatry and Psychotherapy, Untere Zahlbacher Str. 8, 55131 Mainz
bCenter for Mental Health in Old Age, Landeskrankenhaus (AöR), Mainz, Germany, Hartmühlenweg 2-4, 55122 Mainz
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Posted February 14, 2020.
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Network efficiency predicts resilience to cognitive decline in elderly at risk for Alzheimer’s
Florian U. Fischer, Dominik Wolf, Andreas Fellgiebel, for the Alzheimer’s Disease Neuroimaging Initiative
bioRxiv 2020.02.14.949826; doi: https://doi.org/10.1101/2020.02.14.949826
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Network efficiency predicts resilience to cognitive decline in elderly at risk for Alzheimer’s
Florian U. Fischer, Dominik Wolf, Andreas Fellgiebel, for the Alzheimer’s Disease Neuroimaging Initiative
bioRxiv 2020.02.14.949826; doi: https://doi.org/10.1101/2020.02.14.949826

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