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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd http://dublincore.org/schemas/xmls/qdc/dcterms.xsd"><dc:language>eng</dc:language><dc:creator>Emery, Brett Addison</dc:creator><dc:creator>Khanzada, Shahrukh</dc:creator><dc:creator>Hu, Xin</dc:creator><dc:creator>Maggi, Maria Anna</dc:creator><dc:creator>Bisti, Silvia</dc:creator><dc:creator>Amin, Hayder</dc:creator><dc:title>Network-Level Characterization of Hippocampal Disruptions in Alzheimer's Disease Using Large-Scale Electrophysiology.</dc:title><dc:subject>Alzheimer Disease: physiopathology</dc:subject><dc:subject>Hippocampus: physiopathology</dc:subject><dc:subject>Hippocampus: pathology</dc:subject><dc:subject>Animals</dc:subject><dc:subject>Mice</dc:subject><dc:subject>Mice, Transgenic</dc:subject><dc:subject>Disease Models, Animal</dc:subject><dc:subject>Microelectrodes</dc:subject><dc:subject>Electrophysiology: methods</dc:subject><dc:subject>Nerve Net: physiopathology</dc:subject><dc:subject>Humans</dc:subject><dc:description>Alzheimer's disease (AD), a progressive neurodegenerative disorder, is projected to affect over 130 million people globally by 2050. While extensive efforts have focused on targeting molecular hallmarks such as amyloid-beta (Aβ) plaques and tau pathology, network-level dysfunction remains a critical but underexplored component of AD progression. Disruptions in hippocampal-cortical (HC) circuit activity emerge early in AD, compromising memory processing and cognitive functions. Characterizing these disruptions requires high-resolution platforms capable of capturing network-wide spatiotemporal dynamics. To address this, we implemented a high-density microelectrode array (HD-MEA) biosensor to assess large-scale electrophysiological activity in ex vivo hippocampal slices from well-established APPNL and APPNL-G-F mouse models. Our approach quantifies hippocampal oscillatory disturbances and examines their modulation by saffron, a natural compound with reported neuroprotective properties. Results indicate that hippocampal network activity is progressively impaired in APPNL-G-F mice, particularly in sharp-wave ripple (SWR) and multi-unit activity (MUA) patterns. The HD-MEA platform provides a scalable tool for investigating AD-associated network dysfunctions and exploring potential modulatory interventions.</dc:description><dc:source>IEEE 1-4 (2025). doi:10.1109/EMBC58623.2025.11253272</dc:source><dc:type>info:eu-repo/semantics/conferenceObject</dc:type><dc:type>info:eu-repo/semantics/publishedVersion</dc:type><dc:source>2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) : [Proceedings] - IEEE, 2025. - ISBN 979-8-3315-8618-8 - doi:10.1109/EMBC58623.2025.11253272</dc:source><dc:source>2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) : [Proceedings] - IEEE, 2025. - ISBN 979-8-3315-8618-8 - doi:10.1109/EMBC58623.2025.11253272&lt;br/&gt;47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, Copenhagen, Denmark, 2025-07-14 - 2025-07-18</dc:source><dc:publisher>IEEE</dc:publisher><dc:date>2025</dc:date><dc:rights>info:eu-repo/semantics/closedAccess</dc:rights><dc:coverage>DE</dc:coverage><dc:identifier>https://pub.dzne.de/record/285809</dc:identifier><dc:identifier>https://pub.dzne.de/search?p=id:%22DZNE-2026-00345%22</dc:identifier><dc:audience>Researchers</dc:audience><dc:relation>info:eu-repo/semantics/altIdentifier/pmid/pmid:41335966</dc:relation><dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1109/EMBC58623.2025.11253272</dc:relation></oai_dc:dc>

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