285809 20260401141306.0 10.1109/EMBC58623.2025.11253272 doi pmid:41335966 pmid DZNE-2026-00345 English Emery, Brett Addison P:(DE-2719)9001361 0 First author dzne 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC Copenhagen 2025-07-14 - 2025-07-18 Denmark Network-Level Characterization of Hippocampal Disruptions in Alzheimer's Disease Using Large-Scale Electrophysiology. 2025 IEEE 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 1-4 CONFERENCE_PAPER ORCID Conference Paper 33 EndNote INPROCEEDINGS BibTeX conferenceObject DRIVER Output Types/Conference Paper DataCite Contribution to a conference proceedings contrib contrib PUB:(DE-HGF)8 1775045423_19839 PUB:(DE-HGF) Contribution to a book PUB:(DE-HGF)7 PUB:(DE-HGF) contb Missing Journal: Annu Int Conf IEEE Eng Med Biol Soc = 2375-7477 (import from CrossRef Conference, PubMed, , Journals: pub.dzne.de) 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. 351 - Brain Function (POF4-351) G:(DE-HGF)POF4-351 POF4-351 POF IV 0 Dataset connected to CrossRef Conference, PubMed, , Journals: pub.dzne.de Alzheimer Disease: physiopathology MeSH Hippocampus: physiopathology MeSH Hippocampus: pathology MeSH Animals MeSH Mice MeSH Mice, Transgenic MeSH Disease Models, Animal MeSH Microelectrodes MeSH Electrophysiology: methods MeSH Nerve Net: physiopathology MeSH Humans MeSH Khanzada, Shahrukh P:(DE-2719)9001867 1 dzne Hu, Xin P:(DE-2719)2814182 2 dzne Maggi, Maria Anna 3 Bisti, Silvia 4 Amin, Hayder P:(DE-2719)2812628 5 Last author dzne 10.1109/EMBC58623.2025.11253272 http://pub.dzne.de/record/285809/files/DZNE-2026-00345_Restricted.pdf http://pub.dzne.de/record/285809/files/DZNE-2026-00345_Restricted.pdf?subformat=pdfa pdfa Deutsches Zentrum für Neurodegenerative Erkrankungen I:(DE-588)1065079516 DZNE 0 P:(DE-2719)9001361 Deutsches Zentrum für Neurodegenerative Erkrankungen I:(DE-588)1065079516 DZNE 1 P:(DE-2719)9001867 Deutsches Zentrum für Neurodegenerative Erkrankungen I:(DE-588)1065079516 DZNE 2 P:(DE-2719)2814182 Deutsches Zentrum für Neurodegenerative Erkrankungen I:(DE-588)1065079516 DZNE 5 P:(DE-2719)2812628 DE-HGF Gesundheit Neurodegenerative Diseases G:(DE-HGF)POF4-350 G:(DE-HGF)POF4-351 G:(DE-HGF)POF4 G:(DE-HGF)POF4-300 G:(DE-HGF)POF Brain Function 0 I:(DE-2719)1710010 AG Amin Biohybrid Neuroelectronics (BIONICS) 0 contrib EDITORS VDBINPRINT contb I:(DE-2719)1710010 UNRESTRICTED