285808 20260401141035.0 10.1109/EMBC58623.2025.11254514 doi pmid:41336611 pmid DZNE-2026-00344 English Khanzada, Shahrukh P:(DE-2719)9001867 0 First author dzne 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC Copenhagen 2025-07-14 - 2025-07-18 Denmark High-Density MEA Reveals Distinct Sharp-Wave Ripple Network Dynamics Across Induction Methods in the Hippocampus. 2025 IEEE 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 1-4 CONFERENCE_PAPER ORCID Conference Paper 33 EndNote INPROCEEDINGS BibTeX conferenceObject DRIVER Output Types/Conference Paper DataCite Contribution to a conference proceedings contrib contrib PUB:(DE-HGF)8 1775045310_18971 PUB:(DE-HGF) Contribution to a book PUB:(DE-HGF)7 PUB:(DE-HGF) contb Missing Journal: Annu Int Conf IEEE Eng Med Biol Soc = 2375-7477 (import from CrossRef Conference, PubMed, , Journals: pub.dzne.de) 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. 351 - Brain Function (POF4-351) G:(DE-HGF)POF4-351 POF4-351 POF IV 0 Dataset connected to CrossRef Conference, PubMed, , Journals: pub.dzne.de Hippocampus: physiology MeSH Animals MeSH Rats MeSH Nerve Net: physiology MeSH Microelectrodes MeSH Male MeSH Neurons: physiology MeSH Hu, Xin P:(DE-2719)2814182 1 dzne Emery, Brett Addison P:(DE-2719)9001361 2 dzne Amin, Hayder P:(DE-2719)2812628 3 Last author dzne 10.1109/EMBC58623.2025.11254514 http://pub.dzne.de/record/285808/files/DZNE-2026-00344_Restricted.pdf http://pub.dzne.de/record/285808/files/DZNE-2026-00344_Restricted.pdf?subformat=pdfa pdfa Deutsches Zentrum für Neurodegenerative Erkrankungen I:(DE-588)1065079516 DZNE 0 P:(DE-2719)9001867 Deutsches Zentrum für Neurodegenerative Erkrankungen I:(DE-588)1065079516 DZNE 1 P:(DE-2719)2814182 Deutsches Zentrum für Neurodegenerative Erkrankungen I:(DE-588)1065079516 DZNE 2 P:(DE-2719)9001361 Deutsches Zentrum für Neurodegenerative Erkrankungen I:(DE-588)1065079516 DZNE 3 P:(DE-2719)2812628 DE-HGF Gesundheit Neurodegenerative Diseases G:(DE-HGF)POF4-350 G:(DE-HGF)POF4-351 G:(DE-HGF)POF4 G:(DE-HGF)POF4-300 G:(DE-HGF)POF Brain Function 0 I:(DE-2719)1710010 AG Amin Biohybrid Neuroelectronics (BIONICS) 0 contrib EDITORS VDBINPRINT contb I:(DE-2719)1710010 UNRESTRICTED