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Abstract #4082

Patterns of resting-state functional connectivity in the prodromal phase of Alzheimer’s disease: insights from a tauopathy mouse model (Thy-Tau22)

Laetitia Degiorgis1, Meltem Karatas1, Marion Sourty1, Chrystelle Po1, Thomas Bienert2, Hsu Lei Lee, Dominik von Elverfeldt2, Chantal Mathis3, Anne-Laurence Boutillier3, Frédéric Blanc4, Jean-Paul Armspach1, and Laura-Adela Harsan1,2,5

1ICube, Université de Strasbourg-CNRS, Strasbourg, France, 2Department of Radiology, Medical Physics, University Medical Center Freiburg, Freiburg, Germany, 3Laboratoire de Neurosciences Cognitives et Adaptatives, Université de Strasbourg-CNRS, Strasbourg, France, 4Centres Mémoire de Ressources et de Recherche, CHU de Strasbourg, Services Neurologiques et Gériatriques, Strasbourg, France, 5Département de Biophysique et Médecine Nucléaire, Hôpitaux Universitaires de Strasbourg, CHU de Hautepierre, France

Resting state functional magnetic resonance imaging (rsfMRI) has opened a new window into the brain and its connectome, proposing abnormal functional connectivity as a candidate biomarker of brain pathologies1. We explored this pathway and performed rsfMRI and network analysis in the Thy-Tau22 transgenic mouse model of Alzheimer’s disease, evaluating possible network signatures of early pathological states. We mapped the brain functional connectivity patterns and found overactive resting state BOLD signal in core players of the memory and learning systems, including the hippocampal network. This correlates with subtle memory deficits characterizing a very early pathological phenotype of the Thy-Tau22 mouse model.

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