{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T01:13:22Z","timestamp":1792804402357,"version":"4.5.0"},"reference-count":30,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2015,9,2]],"date-time":"2015-09-02T00:00:00Z","timestamp":1441152000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Adv Healthcare Materials"],"published-print":{"date-parts":[[2016,1]]},"abstract":"<jats:p>\n                    The brain is one of the most important and complex organs in the human body. Although various neural network models have been proposed for in vitro 3D neuronal networks, it has been difficult to mimic functional and structural complexity of the in vitro neural circuit. Here, a microfluidic model of a simplified 3D neural circuit is reported. First, the microfluidic device is filled with Matrigel and continuous flow is delivered across the device during gelation. The fluidic flow aligns the extracellular matrix (ECM) components along the flow direction. Following the alignment of ECM fibers, neurites of primary rat cortical neurons are grown into the Matrigel at the average speed of 250 \u03bcm d\n                    <jats:sup>\u22121<\/jats:sup>\n                    and form axon bundles approximately 1500 \u03bcm in length at 6 days in vitro (DIV). Additionally, neural networks are developed from presynaptic to postsynaptic neurons at 14 DIV. The establishment of aligned 3D neural circuits is confirmed with the immunostaining of PSD\u201095 and synaptophysin and the observation of calcium signal transmission.\n                  <\/jats:p>","DOI":"10.1002\/adhm.201500397","type":"journal-article","created":{"date-parts":[[2015,9,2]],"date-time":"2015-09-02T17:52:26Z","timestamp":1441216346000},"page":"159-166","source":"Crossref","is-referenced-by-count":82,"title":["Engineering\u2010Aligned 3D Neural Circuit in Microfluidic Device"],"prefix":"10.1002","volume":"5","author":[{"given":"Seokyoung","family":"Bang","sequence":"first","affiliation":[{"name":"Division of WCU (World Class University) Multiscale Mechanical Design School of Mechanical and Aerospace Engineering Institute of Advanced Machinery and Design Seoul National University  Seoul 151\u2010744 South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sangcheol","family":"Na","sequence":"additional","affiliation":[{"name":"Division of WCU (World Class University) Multiscale Mechanical Design School of Mechanical and Aerospace Engineering Institute of Advanced Machinery and Design Seoul National University  Seoul 151\u2010744 South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jae Myung","family":"Jang","sequence":"additional","affiliation":[{"name":"Interdisciplinary Program in Neuroscience Seoul National University  Seoul 151\u2010744 South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinhyun","family":"Kim","sequence":"additional","affiliation":[{"name":"Center for Functional Connectomics Korea Institute of Science and Technology (KIST)  Seoul 136\u2010791 South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Noo Li","family":"Jeon","sequence":"additional","affiliation":[{"name":"Division of WCU (World Class University) Multiscale Mechanical Design School of Mechanical and Aerospace Engineering Institute of Advanced Machinery and Design Seoul National University  Seoul 151\u2010744 South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2015,9,2]]},"reference":[{"key":"e_1_2_6_1_1","doi-asserted-by":"publisher","DOI":"10.1083\/jcb.201201124"},{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mrrev.2012.08.001"},{"key":"e_1_2_6_3_1","first-page":"1","volume":"8","author":"Lee S. 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