IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-31073-1.html
   My bibliography  Save this article

An in vitro model of neuronal ensembles

Author

Listed:
  • M. Angeles Rabadan

    (Columbia University)

  • Estanislao Daniel De La Cruz

    (Columbia University)

  • Sneha B. Rao

    (Columbia University)

  • Yannan Chen

    (Columbia University
    Columbia University)

  • Cheng Gong

    (Columbia University
    Columbia University)

  • Gregg Crabtree

    (Columbia University)

  • Bin Xu

    (Columbia University)

  • Sander Markx

    (Columbia University)

  • Joseph A. Gogos

    (Columbia University
    Columbia University
    Columbia University
    Columbia University)

  • Rafael Yuste

    (Columbia University
    Columbia University)

  • Raju Tomer

    (Columbia University
    Columbia University
    Columbia University
    Columbia University)

Abstract

Advances in 3D neuronal cultures, such as brain spheroids and organoids, are allowing unprecedented in vitro access to some of the molecular, cellular and developmental mechanisms underlying brain diseases. However, their efficacy in recapitulating brain network properties that encode brain function remains limited, thereby precluding development of effective in vitro models of complex brain disorders like schizophrenia. Here, we develop and characterize a Modular Neuronal Network (MoNNet) approach that recapitulates specific features of neuronal ensemble dynamics, segregated local-global network activities and a hierarchical modular organization. We utilized MoNNets for quantitative in vitro modelling of schizophrenia-related network dysfunctions caused by highly penetrant mutations in SETD1A and 22q11.2 risk loci. Furthermore, we demonstrate its utility for drug discovery by performing pharmacological rescue of alterations in neuronal ensembles stability and global network synchrony. MoNNets allow in vitro modelling of brain diseases for investigating the underlying neuronal network mechanisms and systematic drug discovery.

Suggested Citation

  • M. Angeles Rabadan & Estanislao Daniel De La Cruz & Sneha B. Rao & Yannan Chen & Cheng Gong & Gregg Crabtree & Bin Xu & Sander Markx & Joseph A. Gogos & Rafael Yuste & Raju Tomer, 2022. "An in vitro model of neuronal ensembles," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31073-1
    DOI: 10.1038/s41467-022-31073-1
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-31073-1
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-022-31073-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Johannes Friedrich & Pengcheng Zhou & Liam Paninski, 2017. "Fast online deconvolution of calcium imaging data," PLOS Computational Biology, Public Library of Science, vol. 13(3), pages 1-26, March.
    2. Torfi Sigurdsson & Kimberly L. Stark & Maria Karayiorgou & Joseph A. Gogos & Joshua A. Gordon, 2010. "Impaired hippocampal–prefrontal synchrony in a genetic mouse model of schizophrenia," Nature, Nature, vol. 464(7289), pages 763-767, April.
    3. Aparna Bhaduri & Madeline G. Andrews & Walter Mancia Leon & Diane Jung & David Shin & Denise Allen & Dana Jung & Galina Schmunk & Maximilian Haeussler & Jahan Salma & Alex A. Pollen & Tomasz J. Nowako, 2020. "Cell stress in cortical organoids impairs molecular subtype specification," Nature, Nature, vol. 578(7793), pages 142-148, February.
    4. Paul T E Cusack, 2020. "The Human Brain," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 31(3), pages 24261-24266, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tatsuya Osaki & Tomoya Duenki & Siu Yu A. Chow & Yasuhiro Ikegami & Romain Beaubois & Timothée Levi & Nao Nakagawa-Tamagawa & Yoji Hirano & Yoshiho Ikeuchi, 2024. "Complex activity and short-term plasticity of human cerebral organoids reciprocally connected with axons," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abigail B. Schneider & Bridget Leonard, 2022. "From anxiety to control: Mask‐wearing, perceived marketplace influence, and emotional well‐being during the COVID‐19 pandemic," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(1), pages 97-119, March.
    2. Irina Pochinok & Tristan M. Stöber & Jochen Triesch & Mattia Chini & Ileana L. Hanganu-Opatz, 2024. "A developmental increase of inhibition promotes the emergence of hippocampal ripples," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    3. Odelaisy León-Triana & Julián Pérez-Beteta & David Albillo & Ana Ortiz de Mendivil & Luis Pérez-Romasanta & Elisabet González-Del Portillo & Manuel Llorente & Natalia Carballo & Estanislao Arana & Víc, 2021. "Brain Metastasis Response to Stereotactic Radio Surgery: A Mathematical Approach," Mathematics, MDPI, vol. 9(7), pages 1-19, March.
    4. Mirren Charnley & Saba Islam & Guneet K. Bindra & Jeremy Engwirda & Julian Ratcliffe & Jiangtao Zhou & Raffaele Mezzenga & Mark D. Hulett & Kyunghoon Han & Joshua T. Berryman & Nicholas P. Reynolds, 2022. "Neurotoxic amyloidogenic peptides in the proteome of SARS-COV2: potential implications for neurological symptoms in COVID-19," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    5. Celia M. Gagliardi & Marc E. Normandin & Alexandra T. Keinath & Joshua B. Julian & Matthew R. Lopez & Manuel-Miguel Ramos-Alvarez & Russell A. Epstein & Isabel A. Muzzio, 2024. "Distinct neural mechanisms for heading retrieval and context recognition in the hippocampus during spatial reorientation," Nature Communications, Nature, vol. 15(1), pages 1-22, December.
    6. Hamed Nili & Alexander Walther & Arjen Alink & Nikolaus Kriegeskorte, 2020. "Inferring exemplar discriminability in brain representations," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-28, June.
    7. Linzmajer, Marc & Hubert, Mirja & Hubert, Marco, 2021. "It’s about the process, not the result: An fMRI approach to explore the encoding of explicit and implicit price information," Journal of Economic Psychology, Elsevier, vol. 86(C).
    8. Daniel U Campos-Delgado & Omar Gutierrez-Navarro & Ricardo Salinas-Martinez & Elvis Duran & Aldo R Mejia-Rodriguez & Miguel J Velazquez-Duran & Javier A Jo, 2021. "Blind deconvolution estimation by multi-exponential models and alternated least squares approximations: Free-form and sparse approach," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-29, March.
    9. Natalie J Shook & Barış Sevi & Jerin Lee & Benjamin Oosterhoff & Holly N Fitzgerald, 2020. "Disease avoidance in the time of COVID-19: The behavioral immune system is associated with concern and preventative health behaviors," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-15, August.
    10. Cristina Lázaro-Pérez & José Ángel Martínez-López & José Gómez-Galán, 2020. "Addictions in Spanish College Students in Confinement Times: Preventive and Social Perspective," Social Sciences, MDPI, vol. 9(11), pages 1-21, October.
    11. Yashika Arora & Pushpinder Walia & Mitsuhiro Hayashibe & Makii Muthalib & Shubhajit Roy Chowdhury & Stephane Perrey & Anirban Dutta, 2021. "Grey-box modeling and hypothesis testing of functional near-infrared spectroscopy-based cerebrovascular reactivity to anodal high-definition tDCS in healthy humans," PLOS Computational Biology, Public Library of Science, vol. 17(10), pages 1-38, October.
    12. Elvisa Drishti & Bresena Kopliku & Drini Imami, 2022. "Active political engagement, political patronage and local labour markets – The example of Shkoder," International Journal of Manpower, Emerald Group Publishing Limited, vol. 44(6), pages 1118-1142, April.
    13. Nguyen, Ha Trong & Brinkman, Sally & Le, Huong Thu & Zubrick, Stephen R. & Mitrou, Francis, 2022. "Gender differences in time allocation contribute to differences in developmental outcomes in children and adolescents," Economics of Education Review, Elsevier, vol. 89(C).
    14. Gricelda Herrera-Franco & Néstor Montalván-Burbano & Carlos Mora-Frank & Lady Bravo-Montero, 2021. "Scientific Research in Ecuador: A Bibliometric Analysis," Publications, MDPI, vol. 9(4), pages 1-34, December.
    15. Sofie L. Valk & Ting Xu & Casey Paquola & Bo-yong Park & Richard A. I. Bethlehem & Reinder Vos de Wael & Jessica Royer & Shahrzad Kharabian Masouleh & Şeyma Bayrak & Peter Kochunov & B. T. Thomas Yeo , 2022. "Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    16. Rosen Valchev & Cosmin Ilut, 2017. "Economic Agents as Imperfect Problem Solvers," 2017 Meeting Papers 1285, Society for Economic Dynamics.
    17. Florent Meyniel, 2020. "Brain dynamics for confidence-weighted learning," PLOS Computational Biology, Public Library of Science, vol. 16(6), pages 1-27, June.
    18. Virgilio Pérez & Cristina Aybar & Jose M. Pavía, 2021. "COVID-19 and Changes in Social Habits. Restaurant Terraces, a Booming Space in Cities. The Case of Madrid," Mathematics, MDPI, vol. 9(17), pages 1-18, September.
    19. Ana-Madalina Potcovaru, 2020. "The Impact Of Organizational Stress On The Human Resources From The Health System During Covid-19 Pandemic," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 10(5), pages 88-97, October.
    20. Bastien Berret & Frédéric Jean, 2020. "Stochastic optimal open-loop control as a theory of force and impedance planning via muscle co-contraction," PLOS Computational Biology, Public Library of Science, vol. 16(2), pages 1-28, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31073-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.