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@INPROCEEDINGS{Khanzada:285808,
      author       = {Khanzada, Shahrukh and Hu, Xin and Emery, Brett Addison and
                      Amin, Hayder},
      title        = {{H}igh-{D}ensity {MEA} {R}eveals {D}istinct {S}harp-{W}ave
                      {R}ipple {N}etwork {D}ynamics {A}cross {I}nduction {M}ethods
                      in the {H}ippocampus.},
      publisher    = {IEEE},
      reportid     = {DZNE-2026-00344},
      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/EMBC58623.2025.11254514},
      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/EMBC58623.2025.11254514},
      abstract     = {Learning and memory are fundamental brain functions
                      governed by rhythmic oscillatory activity, which
                      synchronizes neural communication and modulates network
                      dynamics. Distinct oscillatory patterns-theta (θ), beta
                      (β), gamma (γ), and sharp wave-ripples (SWR)-coordinate
                      neural ensemble activity, particularly in the hippocampal
                      CA1-CA3 regions, where they play a crucial role in learning
                      and memory. Understanding the mechanisms underlying SWR
                      generation is crucial, as these oscillations play a
                      fundamental role in memory consolidation, synaptic
                      plasticity, and cognitive function. Unlike previous
                      small-scale studies that relied on limited electrode
                      coverage, our approach leverages high-density microelectrode
                      arrays (HD-MEAs) to capture SWRs across large-scale
                      hippocampal networks. This enables a direct comparison of
                      how different induction methods influence network-wide
                      dynamics, rather than focusing on isolated neuronal
                      activity. By quantitatively assessing spatiotemporal
                      propagation, frequency distributions, and ensemble
                      synchronization, we aim to determine whether experimentally
                      evoked SWRs truly replicate the functional characteristics
                      of their spontaneous counterparts or introduce distinct
                      network properties. Our findings provide a critical
                      foundation for interpreting SWR activity in both
                      physiological and experimental settings, offering novel
                      insights into large-scale neural dynamics and their
                      implications for memory-related processes and therapeutic
                      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     = {Hippocampus: physiology / Animals / Rats / Nerve Net:
                      physiology / Microelectrodes / Male / Neurons: physiology},
      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:41336611},
      doi          = {10.1109/EMBC58623.2025.11254514},
      url          = {https://pub.dzne.de/record/285808},
}