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| 024 | 7 | _ | |a 10.1109/EMBC58623.2025.11253272 |2 doi |
| 024 | 7 | _ | |a pmid:41335966 |2 pmid |
| 037 | _ | _ | |a DZNE-2026-00345 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Emery, Brett Addison |0 P:(DE-2719)9001361 |b 0 |e First author |u dzne |
| 111 | 2 | _ | |a 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |g EMBC |c Copenhagen |d 2025-07-14 - 2025-07-18 |w Denmark |
| 245 | _ | _ | |a Network-Level Characterization of Hippocampal Disruptions in Alzheimer's Disease Using Large-Scale Electrophysiology. |
| 260 | _ | _ | |c 2025 |b IEEE |
| 295 | 1 | 0 | |a 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 |
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| 520 | _ | _ | |a 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. |
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| 650 | _ | 2 | |a Alzheimer Disease: physiopathology |2 MeSH |
| 650 | _ | 2 | |a Hippocampus: physiopathology |2 MeSH |
| 650 | _ | 2 | |a Hippocampus: pathology |2 MeSH |
| 650 | _ | 2 | |a Animals |2 MeSH |
| 650 | _ | 2 | |a Mice |2 MeSH |
| 650 | _ | 2 | |a Mice, Transgenic |2 MeSH |
| 650 | _ | 2 | |a Disease Models, Animal |2 MeSH |
| 650 | _ | 2 | |a Microelectrodes |2 MeSH |
| 650 | _ | 2 | |a Electrophysiology: methods |2 MeSH |
| 650 | _ | 2 | |a Nerve Net: physiopathology |2 MeSH |
| 650 | _ | 2 | |a Humans |2 MeSH |
| 700 | 1 | _ | |a Khanzada, Shahrukh |0 P:(DE-2719)9001867 |b 1 |u dzne |
| 700 | 1 | _ | |a Hu, Xin |0 P:(DE-2719)2814182 |b 2 |u dzne |
| 700 | 1 | _ | |a Maggi, Maria Anna |b 3 |
| 700 | 1 | _ | |a Bisti, Silvia |b 4 |
| 700 | 1 | _ | |a Amin, Hayder |0 P:(DE-2719)2812628 |b 5 |e Last author |u dzne |
| 773 | _ | _ | |a 10.1109/EMBC58623.2025.11253272 |
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