{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["14(1)"],"submitter":["Hanssen KS"],"funding":["NTNU Norwegian University of Science and Technology"],"pubmed_abstract":["Engineered biological neural networks are indispensable models for investigation of neural function and dysfunction from the subcellular to the network level. Notably, advanced neuroengineering approaches are of significant interest for their potential to replicate the topological and functional organization of brain networks. In this study, we reverse engineered feedforward neural networks of primary cortical and hippocampal neurons, using a custom-designed multinodal microfluidic device with Tesla valve inspired microtunnels. By interfacing this device with nanoporous microelectrodes, we show that the reverse engineered multinodal neural networks exhibit capacity for both segregated and integrated functional activity, mimicking brain network dynamics. To advocate the broader applicabilit"],"journal":["Scientific reports"],"pagination":["26021"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11522409"],"repository":["biostudies-literature"],"pubmed_title":["Reverse engineering of feedforward cortical-Hippocampal microcircuits for modelling neural network function and dysfunction."],"pmcid":["PMC11522409"],"pubmed_authors":["Witter MP","Winter-Hjelm N","Sandvig A","Hanssen KS","Kobro-Flatmoen A","Sandvig I","Niethammer SN"],"additional_accession":[]},"is_claimable":false,"name":"Reverse engineering of feedforward cortical-Hippocampal microcircuits for modelling neural network function and dysfunction.","description":"Engineered biological neural networks are indispensable models for investigation of neural function and dysfunction from the subcellular to the network level. Notably, advanced neuroengineering approaches are of significant interest for their potential to replicate the topological and functional organization of brain networks. In this study, we reverse engineered feedforward neural networks of primary cortical and hippocampal neurons, using a custom-designed multinodal microfluidic device with Tesla valve inspired microtunnels. By interfacing this device with nanoporous microelectrodes, we show that the reverse engineered multinodal neural networks exhibit capacity for both segregated and integrated functional activity, mimicking brain network dynamics. To advocate the broader applicabilit","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Oct","modification":"2025-04-19T18:13:07.161Z","creation":"2025-04-19T18:13:07.161Z"},"accession":"S-EPMC11522409","cross_references":{"pubmed":["39472479"],"doi":["10.1038/s41598-024-77157-4"]}}