285807 20260401140814.0 10.1109/EMBC58623.2025.11254218 doi pmid:41336996 pmid DZNE-2026-00343 English Hu, Xin P:(DE-2719)2814182 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 A Computational Framework for Learning and Memory: Network Motif Evolution During LTP-Induced Plasticity. 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/EMBC58623.2025.11254218 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 1775045149_19741 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) Unraveling the complexity of network-level synaptic plasticity remains a challenge due to the dynamic and interconnected nature of neural circuits. In this study, we employ network motifs-recurrent, functionally specialized patterns of connectivity-as a framework to dissect long-term potentiation (LTP)-induced reorganization in hippocampal CA1-CA3 networks. Using network LTP recordings from highdensity microelectrode arrays (HD-MEA), we systematically tracked motif evolution before and after high-frequency stimulation, assessing their roles in network stability, synaptic strength modulation, and criticality-redundancy trade-offs, linking these dynamics to firing synchrony and network potentiation. The Graph-theoretic analysis further demonstrated that LTP-induced reorganization follows a structured motif-guided trajectory, with early-phase motif recruitment optimizing efficiency, followed by phase-dependent refinement. These findings provide new insights into how structured connectivity enables network-level plasticity, balancing efficiency with stability, and offer a potential framework for understanding memory encoding mechanisms and their dysfunction in neurological disorders. 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 Long-Term Potentiation: physiology MeSH Animals MeSH Memory: physiology MeSH Neuronal Plasticity: physiology MeSH Learning: physiology MeSH Models, Neurological MeSH Rats MeSH Nerve Net: physiology MeSH Khanzada, Shahrukh P:(DE-2719)9001867 1 dzne Emery, Brett Addison P:(DE-2719)9001361 2 dzne Amin, Hayder P:(DE-2719)2812628 3 Last author dzne 10.1109/EMBC58623.2025.11254218 http://pub.dzne.de/record/285807/files/DZNE-2026-00343_Restricted.pdf http://pub.dzne.de/record/285807/files/DZNE-2026-00343_Restricted.pdf?subformat=pdfa pdfa Deutsches Zentrum für Neurodegenerative Erkrankungen I:(DE-588)1065079516 DZNE 0 P:(DE-2719)2814182 Deutsches Zentrum für Neurodegenerative Erkrankungen I:(DE-588)1065079516 DZNE 1 P:(DE-2719)9001867 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