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@INPROCEEDINGS{Emery:285809,
      author       = {Emery, Brett Addison and Khanzada, Shahrukh and Hu, Xin and
                      Maggi, Maria Anna and Bisti, Silvia and Amin, Hayder},
      title        = {{N}etwork-{L}evel {C}haracterization of {H}ippocampal
                      {D}isruptions in {A}lzheimer's {D}isease {U}sing
                      {L}arge-{S}cale {E}lectrophysiology.},
      publisher    = {IEEE},
      reportid     = {DZNE-2026-00345},
      pages        = {1-4},
      year         = {2025},
      note         = {Missing Journal: Annu Int Conf IEEE Eng Med Biol Soc =
                      2375-7477 (import from CrossRef Conference, PubMed, ,
                      Journals: pub.dzne.de)},
      comment      = {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},
      booktitle     = {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},
      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.},
      month         = {Jul},
      date          = {2025-07-14},
      organization  = {47th Annual International Conference
                       of the IEEE Engineering in Medicine and
                       Biology Society, Copenhagen (Denmark),
                       14 Jul 2025 - 18 Jul 2025},
      keywords     = {Alzheimer Disease: physiopathology / Hippocampus:
                      physiopathology / Hippocampus: pathology / Animals / Mice /
                      Mice, Transgenic / Disease Models, Animal / Microelectrodes
                      / Electrophysiology: methods / Nerve Net: physiopathology /
                      Humans},
      cin          = {AG Amin},
      cid          = {I:(DE-2719)1710010},
      pnm          = {351 - Brain Function (POF4-351)},
      pid          = {G:(DE-HGF)POF4-351},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      pubmed       = {pmid:41335966},
      doi          = {10.1109/EMBC58623.2025.11253272},
      url          = {https://pub.dzne.de/record/285809},
}