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  <ref-type name="Conference Paper">47</ref-type>
  <contributors>
    <authors>
      <author>Emery, Brett Addison</author>
      <author>Khanzada, Shahrukh</author>
      <author>Hu, Xin</author>
      <author>Maggi, Maria Anna</author>
      <author>Bisti, Silvia</author>
      <author>Amin, Hayder</author>
    </authors>
    <subsidiary-authors>
      <author>AG Amin</author>
    </subsidiary-authors>
  </contributors>
  <titles>
    <title>Network-Level Characterization of Hippocampal Disruptions in Alzheimer's Disease Using Large-Scale Electrophysiology.</title>
    <secondary-title>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</secondary-title>
    <secondary-title>47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society</secondary-title>
  </titles>
  <periodical/>
  <publisher>IEEE</publisher>
  <pub-location>Copenhagen, Denmark</pub-location>
  <electronic-resource-num>10.1109/EMBC58623.2025.11253272</electronic-resource-num>
  <language>English</language>
  <pages>1-4</pages>
  <number/>
  <volume/>
  <abstract>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.</abstract>
  <notes>
    <note>Missing Journal: Annu Int Conf IEEE Eng Med Biol Soc = 2375-7477 (import from CrossRef Conference, PubMed, , Journals: pub.dzne.de) ; </note>
    <note>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 ; </note>
  </notes>
  <label>33, ; PUB:(DE-HGF)8, ; PUB:(DE-HGF)7, ; </label>
  <keywords>
    <keyword>Alzheimer Disease: physiopathology</keyword>
    <keyword>Hippocampus: physiopathology</keyword>
    <keyword>Hippocampus: pathology</keyword>
    <keyword>Animals</keyword>
    <keyword>Mice</keyword>
    <keyword>Mice, Transgenic</keyword>
    <keyword>Disease Models, Animal</keyword>
    <keyword>Microelectrodes</keyword>
    <keyword>Electrophysiology: methods</keyword>
    <keyword>Nerve Net: physiopathology</keyword>
    <keyword>Humans</keyword>
  </keywords>
  <accession-num/>
  <work-type>Contribution to a conference proceedings</work-type>
  <dates>
    <pub-dates>
      <year>2025</year>
    </pub-dates>
    <date>2025-07-14 - 2025-07-18</date>
  </dates>
  <accession-num>DZNE-2026-00345</accession-num>
  <date>2025-07-14 - 2025-07-18</date>
  <year>2025</year>
  <custom6>pmid:41335966</custom6>
  <urls>
    <related-urls>
      <url>https://pub.dzne.de/record/285809</url>
      <url>https://doi.org/10.1109/EMBC58623.2025.11253272</url>
    </related-urls>
  </urls>
</record>

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