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Springer Theses Recognizing Outstanding Ph.D. Research Monica Frega Neuronal Network Dynamics in 2D and 3D in vitro Neuroengineered Systems Springer Theses Recognizing Outstanding Ph.D. Research Aims and Scope The series “Springer Theses” brings together a selection of the very best Ph.D. theses from around the world and across the physical sciences. Nominated and endorsed by two recognized specialists, each published volume has been selected foritsscientificexcellenceandthehighimpactofitscontentsforthepertinentfield of research. For greater accessibility to non-specialists, the published versions includeanextendedintroduction,aswellasaforewordbythestudent’ssupervisor explainingthespecialrelevanceoftheworkforthefield.Asawhole,theserieswill provide a valuable resource both for newcomers to the research fields described, and for other scientists seeking detailed background information on special questions. Finally, it provides an accredited documentation of the valuable contributions made by today’s younger generation of scientists. Theses are accepted into the series by invited nomination only and must fulfill all of the following criteria (cid:129) They must be written in good English. (cid:129) ThetopicshouldfallwithintheconfinesofChemistry,Physics,EarthSciences, Engineeringandrelatedinterdisciplinary fields such asMaterials,Nanoscience, Chemical Engineering, Complex Systems and Biophysics. (cid:129) The work reported in the thesis must represent a significant scientific advance. (cid:129) Ifthethesisincludespreviouslypublishedmaterial,permissiontoreproducethis must be gained from the respective copyright holder. (cid:129) They must have been examined and passed during the 12 months prior to nomination. (cid:129) Each thesis should include a foreword by the supervisor outlining the signifi- cance of its content. (cid:129) The theses should have a clearly defined structure including an introduction accessible to scientists not expert in that particular field. More information about this series at http://www.springer.com/series/8790 Monica Frega Neuronal Network Dynamics in 2D and 3D in vitro Neuroengineered Systems Doctoral Thesis accepted by the University of Genoa, Italy 123 Author Supervisor Monica Frega Prof. SergioMartinoia Department ofInformatics, Bioengineering, Department ofInformatics, Bioengineering, Robotics andSystem Engineering Robotics andSystem Engineering University of Genoa University of Genoa Genoa Genoa Italy Italy ISSN 2190-5053 ISSN 2190-5061 (electronic) SpringerTheses ISBN978-3-319-30236-2 ISBN978-3-319-30237-9 (eBook) DOI 10.1007/978-3-319-30237-9 LibraryofCongressControlNumber:2016932514 ©SpringerInternationalPublishingSwitzerland2016 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpart of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission orinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilar methodologynowknownorhereafterdeveloped. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfrom therelevantprotectivelawsandregulationsandthereforefreeforgeneraluse. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authorsortheeditorsgiveawarranty,expressorimplied,withrespecttothematerialcontainedhereinor foranyerrorsoromissionsthatmayhavebeenmade. Printedonacid-freepaper ThisSpringerimprintispublishedbySpringerNature TheregisteredcompanyisSpringerInternationalPublishingAGSwitzerland Part of this thesis have been published in the following articles: Peer-reviewed International Journals [J.1] Tedesco, M., Frega, M., Martinoia, s., Pesce, M., Massobrio, P. (2015). Interfacing 3D engineered neuronal cultures to Micro-Electrode Arrays: an inno- vative in vitro experimental model. Journal of Visualized Experiments (104), e53080, doi: 10.3791/53080. [J.2] Frega, M., Tedesco, M., Massobrio, P., Pesce, M., Martinoia, S. (2014). Enhanced network dynamics in 3D engineered neuronal cultures: a new experi- mental model for network electrophysiology. Scientific Reports, 4, 5489. [J.3] Colombi,I.,Mahajani,S.,Frega,M.,Gasparini,L.,Chiappalone,M.(2013). Effects of antiepileptic drugs on hippocampal neurons coupled to micro-electrode arrays. Frontiers in Neuroengineering, 6, 10. [J.4] Frega,M.,Pasquale,V.,Tedesco,M.,Marcoli,M.,Contestabile,A.,Nanni, M., Bonzano, L., Maura, G., Chiappalone, M. (2012). Cortical cultures coupled to Micro-Electrode Arrays: A novel approach to perform in vitro excitotoxicity test- ing. Neurotoxicology and teratology, 34(1), 116-127. Peer-reviewed conference proceedings [C.1] Tedesco, M., Frega, M., Pastorino, L. Massobrio, M., Martinoia, S. 3D engineered neural networks coupled to Micro-Electrode based devices: a new experimental model for neurophysiological applications. AISEM Annual Conference, 2015 XVIII, 3rd–5th February 2015, Trento, Italy. [C.2] Frega, M., Tedesco, M., Massobrio, P., Pesce, M., Martinoia, S. 3Dneural networks coupled to planar microtransducer arrays: an innovative in-vitro experi- mental model for investigating network dynamics. 9th International Meeting on Substrate-Integrated Mircoelectrode Arrays, 1st–4th July 2014, Reutlingen, Germany. [C.3] Frega, M., Tedesco, M., Massobrio, P., Martinoia, S. 3D neural networks coupledtoMicroElectrodeArrays:anewexperimentalmodelforneuro-electronic interfaces.4thcongress-NationalGroupofBioengineering(GNB),25th–27thJune 2014, Pavia (Italy). [C.4] Frega,M.,Tedesco,M.,Massobrio,P.,Pesce,M.,Williamson,A.,Schober, A., Martinoia, S. 3D Engineered Neural Networks Coupled to Micro-Electrode Arrays: Development of an Innovative In-Vitro Experimental Model for Neurophysiological Studies. 6th International IEEE/EMBS Conference on Neural Engineering (NER), 5th–8th November 2013, San Diego (USA). [C.5] Frega, M., Tedesco, M., Massobrio, P., Pesce, M., Martinoia, S. 3D neu- ronal networks coupled to Micro-Electrode Arrays: an innovative in vitro experi- mental model to study network dynamics. 8th International Meeting on Substrate-Integrated Microelectrode Arrays (SIMEA 2010), 10th–13th July 2012, Reutlingen (Germany). Abstract to National and International conferences [A.1] Tedesco, M., Frega, M., Massobrio, P., Pesce, M., Martinoia, S. 3D neu- ronal cultures coupled to multi-electrode arrays: a new experimental model forin-vitroelectrophysiology.9thForumofEuropeanNeuroscience(FENS2014), 5th–9th July 2014, Milan (Italy). [A.2] Frega,M., Tedesco, M., Massobrio, P., Martinoia,S. Comparison between the electrophysiological activity of 2D and 3D hippocampal neural networks cou- pledtomicro-electrodearrays.9thForumofEuropeanNeuroscience(FENS2014), 5th–9th July 2014, Milan (Italy). [A.3] Frega, M., Tedesco, M., Massobrio, P., Pesce, M., Martinoia, S. Comparison between electrophysiological activity of 2D and 3D cultured hip- pocampal networks coupled to micro-electrode arrays. Neuroscience, 9th–13th November 2013, San Diego (USA). [A.4] Martinoia, S., Tedesco, M., Frega, M., Massobrio, P., Wiliamson, A., Schober, A. 3-D neuronal cultures coupled to 3-D multi-electrode arrays: a new biohybrid investigational platform for network neurophysiology. Neuroscience, 9th–13th November 2013, San Diego (USA). [A.5] Martinoia, S., Frega, M., Tedesco, M., Pesce, M., Massobrio, P. 3D neu- ronal networks coupled to Micro-Electrode Arrays: development of an in vitro experimental model to study network dynamics. 8th Forum of European Neuroscience (FENS 2012), 14th–18th July 2012, Barcelona (Spain). ’ Supervisor s Foreword It is a great pleasure to introduce Dr. Monica Frega’s thesis work accepted for publication within Springer Theses and awarded with a prize for outstanding originalwork.MonicaFregaperformedherMasterthesisundermysupervisionand then joined my research group on Neuroengineering and Bionanotechnologies (Department of Informatics, Bioengineering, Robotics and Systems Engineering) for her Ph.D. program on Bioengineering at the University of Genova. She started in January 2011 and completed her studies with a successful thesis defense on April 4, 2014. The thesis reports an innovative study in the design and implementation of new-engineered three-dimensional (3D) neuronal cultures coupled to micro elec- trode arrays (MEAs). Part of the presented results have been awarded by the NationalBioengineeringGroupwiththe“Awardforyoungscientists”in2014and most of them have been published in Scientific Report (Nature Publishing Group) on June 30, 2014. The use of in vitro neuronal networks for neurophysiological investigation is a well-established technique since decades. It is widely used for molecular, cellular, and networks studies, mainly for its possibility of manipulation, observation, control, and long-term culturing. The coupling of such in vitro models, derived from primary cultures of rodents (embryo or neonatal), to MEAs technology goes back to the’70s. These model networks are routinely grown onto planar substrate; attempts in improving this approach are concentrated on developing new tech- nologies for recording and stimulating the electrophysiological activity of such experimental preparations. Inthe past decade, there was increasing attention tothe development of 3D cultured networks simply by recognizing the advantages, from the physiological point of view, of such in vitro preparations capable of better mimicking and recapitulating the in vivo situation. Notwithstanding the increased momentumin3Dnetworks,alltheelectrophysiologicalstudiesatthenetworklevel arestillbasedontwo-dimensional(2D)invitromodels(i.e.,networksgrownontoa planar substrate). vii viii Supervisor’sForeword In her thesis work, Monica Frega greatly contributed to the development of a new experimental paradigm constituted by 3D neural networks coupled to micro electrode arrays (MEAs). These 3D networks were systematically characterized fromanexperimentalpointofview,andthenetworkdynamicsdeeplyinvestigated, analyzed, and compared with standard 2D networks. Her work included experi- mental design, data collection, and specific data processing. For the first time, Monica Frega demonstrated the possibility of coupling 3D cultured networks to planar MEAs, and verified the capability of such 3D networks of showing a dif- ferentelectrophysiologicalactivity(withrespectto2Dsister-cultures)withspecific features and with much more similarities to the in vivo situation. This new approach opens new avenues in the network electrophysiology field, allowing studying in vitro neuronal systems in a more physiological condition, approaching and mimicking natural in vivo assemblies. Moreover, it constitutes a step forward in the field of neuroengineering, with specific relevance for the development of new cellular, tissue-like in vitro experimental model systems with future far-reaching implications in the field of in vivo neural interface and neural grafting. Genoa Prof. Sergio Martinoia November 2015 Acknowledgments DuringmyPh.D.Ihadtheoccasiontogodeeperintomyinterestforresearchandat theendoftheseyearsmypassiongraduallygrew.Thispersonalgrowthwouldnot have been possible without competent and professional people who were really passionateintheirworkandhumanlyinteresting.Iwouldliketothankthesepeople one by one. First of all, I express my sincere gratitude to my supervisor Sergio Martinoia. This work could not be performed without his valuable guidance and trust.IalsothankPaoloMassobrio.Workingwiththetwoofyouwasgreat.Ireally enjoyed my research, and you strongly supported and encouraged my enthusiasm. I was sharing with both of you not only scientific ideas and results, but also my personallife.Youwerenotonlymysupervisors,butgreatfriendsofmine.Without such a good relationship, I am sure that the outcome of my Ph.D. would not have been the same, both in terms of “results” and in terms of my personal growth. I thank MariaTeresa Tedesco: you provided me a lot of support and help and you conveyed tomethepassionfor yourwork.Ialsothank MichelaChiappalone:you alwayssupportedmeandyouwereimportantformyscientificandpersonalgrowth. IthankVirginia,Andrea,andDaniele:withyouIsharedmostofthetimeduring my Ph.D. We did not share only scientific ideas, but also many nice moments and interesting talks together. ThesethreeyearsofPh.D.werealongjourney:Icouldnothavecompletedthis journey without the support of my friends and family. I thank all of you! In particular, I thank the friends with whom I have shared almost everything: Albertone,Giulia,Davide,Andrea,Luca,Ignazio,Chiusky,Marialaura,Anna,and Susanna. You were great and helpful company: I shared my life and the important steps of my personal development with you. It is incredible how our friendship grew with time. I have no words to express my gratitude. Andofcourse,abigthankyoutoMattia.Youalwaysprovidemesupport,help, and encouragement. You are a gift to me: you really changed my life in this year. Iamimpressedbyhowwewereabletofacedifficultiesandhowthedistancemade uscloserandmadeourrelationshipstronger.Iamreallygratefultohaveyouatmy side. And the best is yet to come! ix

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