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000285809 0247_ $$2doi$$a10.1109/EMBC58623.2025.11253272
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000285809 037__ $$aDZNE-2026-00345
000285809 041__ $$aEnglish
000285809 1001_ $$0P:(DE-2719)9001361$$aEmery, Brett Addison$$b0$$eFirst author$$udzne
000285809 1112_ $$a47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society$$cCopenhagen$$d2025-07-14 - 2025-07-18$$gEMBC$$wDenmark
000285809 245__ $$aNetwork-Level Characterization of Hippocampal Disruptions in Alzheimer's Disease Using Large-Scale Electrophysiology.
000285809 260__ $$bIEEE$$c2025
000285809 29510 $$a2025 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
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000285809 500__ $$aMissing Journal: Annu Int Conf IEEE Eng Med Biol Soc = 2375-7477 (import from CrossRef Conference, PubMed, , Journals: pub.dzne.de)
000285809 520__ $$aAlzheimer'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.
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000285809 650_2 $$2MeSH$$aAlzheimer Disease: physiopathology
000285809 650_2 $$2MeSH$$aHippocampus: physiopathology
000285809 650_2 $$2MeSH$$aHippocampus: pathology
000285809 650_2 $$2MeSH$$aAnimals
000285809 650_2 $$2MeSH$$aMice
000285809 650_2 $$2MeSH$$aMice, Transgenic
000285809 650_2 $$2MeSH$$aDisease Models, Animal
000285809 650_2 $$2MeSH$$aMicroelectrodes
000285809 650_2 $$2MeSH$$aElectrophysiology: methods
000285809 650_2 $$2MeSH$$aNerve Net: physiopathology
000285809 650_2 $$2MeSH$$aHumans
000285809 7001_ $$0P:(DE-2719)9001867$$aKhanzada, Shahrukh$$b1$$udzne
000285809 7001_ $$0P:(DE-2719)2814182$$aHu, Xin$$b2$$udzne
000285809 7001_ $$aMaggi, Maria Anna$$b3
000285809 7001_ $$aBisti, Silvia$$b4
000285809 7001_ $$0P:(DE-2719)2812628$$aAmin, Hayder$$b5$$eLast author$$udzne
000285809 773__ $$a10.1109/EMBC58623.2025.11253272
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