Literature DB >> 25973786

High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels.

Jan Müller1, Marco Ballini, Paolo Livi, Yihui Chen, Milos Radivojevic, Amir Shadmani, Vijay Viswam, Ian L Jones, Michele Fiscella, Roland Diggelmann, Alexander Stettler, Urs Frey, Douglas J Bakkum, Andreas Hierlemann.   

Abstract

Studies on information processing and learning properties of neuronal networks would benefit from simultaneous and parallel access to the activity of a large fraction of all neurons in such networks. Here, we present a CMOS-based device, capable of simultaneously recording the electrical activity of over a thousand cells in in vitro neuronal networks. The device provides sufficiently high spatiotemporal resolution to enable, at the same time, access to neuronal preparations on subcellular, cellular, and network level. The key feature is a rapidly reconfigurable array of 26 400 microelectrodes arranged at low pitch (17.5 μm) within a large overall sensing area (3.85 × 2.10 mm(2)). An arbitrary subset of the electrodes can be simultaneously connected to 1024 low-noise readout channels as well as 32 stimulation units. Each electrode or electrode subset can be used to electrically stimulate or record the signals of virtually any neuron on the array. We demonstrate the applicability and potential of this device for various different experimental paradigms: large-scale recordings from whole networks of neurons as well as investigations of axonal properties of individual neurons.

Entities:  

Mesh:

Year:  2015        PMID: 25973786      PMCID: PMC5421573          DOI: 10.1039/c5lc00133a

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  43 in total

1.  Resolution of the epiretinal prosthesis is not limited by electrode size.

Authors:  Matthew R Behrend; Ashish K Ahuja; Mark S Humayun; Robert H Chow; James D Weiland
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2011-04-19       Impact factor: 3.802

2.  Polychronization: computation with spikes.

Authors:  Eugene M Izhikevich
Journal:  Neural Comput       Date:  2006-02       Impact factor: 2.026

3.  Electrophysiology of a dendritic neuron model.

Authors:  W RALL
Journal:  Biophys J       Date:  1962-03       Impact factor: 4.033

4.  Compact voltage and current stimulation buffer for high-density microelectrode arrays.

Authors:  P Livi; F Heer; U Frey; D J Bakkum; A Hierlemann
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2010-12       Impact factor: 3.833

5.  Active pixel sensor array for high spatio-temporal resolution electrophysiological recordings from single cell to large scale neuronal networks.

Authors:  Luca Berdondini; Kilian Imfeld; Alessandro Maccione; Mariateresa Tedesco; Simon Neukom; Milena Koudelka-Hep; Sergio Martinoia
Journal:  Lab Chip       Date:  2009-07-15       Impact factor: 6.799

6.  Neuro-optical microfluidic platform to study injury and regeneration of single axons.

Authors:  Young-tae Kim; Kailash Karthikeyan; Sajal Chirvi; Digant P Davé
Journal:  Lab Chip       Date:  2009-07-14       Impact factor: 6.799

7.  Single-cell recording and stimulation with a 16k micro-nail electrode array integrated on a 0.18 μm CMOS chip.

Authors:  Roeland Huys; Dries Braeken; Danny Jans; Andim Stassen; Nadine Collaert; Jan Wouters; Josine Loo; Simone Severi; Frank Vleugels; Geert Callewaert; Kris Verstreken; Carmen Bartic; Wolfgang Eberle
Journal:  Lab Chip       Date:  2012-02-15       Impact factor: 6.799

Review 8.  Dendritic excitability and synaptic plasticity.

Authors:  P Jesper Sjöström; Ede A Rancz; Arnd Roth; Michael Häusser
Journal:  Physiol Rev       Date:  2008-04       Impact factor: 37.312

9.  Sub-millisecond closed-loop feedback stimulation between arbitrary sets of individual neurons.

Authors:  Jan Müller; Douglas J Bakkum; Andreas Hierlemann
Journal:  Front Neural Circuits       Date:  2013-01-10       Impact factor: 3.492

10.  Long-term activity-dependent plasticity of action potential propagation delay and amplitude in cortical networks.

Authors:  Douglas J Bakkum; Zenas C Chao; Steve M Potter
Journal:  PLoS One       Date:  2008-05-07       Impact factor: 3.240

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  61 in total

1.  Electrophysiological Phenotype Characterization of Human iPSC-Derived Neuronal Cell Lines by Means of High-Density Microelectrode Arrays.

Authors:  Silvia Ronchi; Alessio Paolo Buccino; Gustavo Prack; Sreedhar Saseendran Kumar; Manuel Schröter; Michele Fiscella; Andreas Hierlemann
Journal:  Adv Biol (Weinh)       Date:  2021-01-14

Review 2.  Recent progress in multi-electrode spike sorting methods.

Authors:  Baptiste Lefebvre; Pierre Yger; Olivier Marre
Journal:  J Physiol Paris       Date:  2017-03-02

Review 3.  Advances in ex vivo models and lab-on-a-chip devices for neural tissue engineering.

Authors:  Sahba Mobini; Young Hye Song; Michaela W McCrary; Christine E Schmidt
Journal:  Biomaterials       Date:  2018-05-11       Impact factor: 12.479

4.  Nano-plasmonics and electronics co-integration in CMOS enabling a pill-sized multiplexed fluorescence microarray system.

Authors:  Lingyu Hong; Hao Li; Haw Yang; Kaushik Sengupta
Journal:  Biomed Opt Express       Date:  2018-10-26       Impact factor: 3.732

5.  SPICODYN: A Toolbox for the Analysis of Neuronal Network Dynamics and Connectivity from Multi-Site Spike Signal Recordings.

Authors:  Vito Paolo Pastore; Aleksandar Godjoski; Sergio Martinoia; Paolo Massobrio
Journal:  Neuroinformatics       Date:  2018-01

6.  Cell Types of the Human Retina and Its Organoids at Single-Cell Resolution.

Authors:  Cameron S Cowan; Magdalena Renner; Martina De Gennaro; Brigitte Gross-Scherf; David Goldblum; Yanyan Hou; Martin Munz; Tiago M Rodrigues; Jacek Krol; Tamas Szikra; Rachel Cuttat; Annick Waldt; Panagiotis Papasaikas; Roland Diggelmann; Claudia P Patino-Alvarez; Patricia Galliker; Stefan E Spirig; Dinko Pavlinic; Nadine Gerber-Hollbach; Sven Schuierer; Aldin Srdanovic; Marton Balogh; Riccardo Panero; Akos Kusnyerik; Arnold Szabo; Michael B Stadler; Selim Orgül; Simone Picelli; Pascal W Hasler; Andreas Hierlemann; Hendrik P N Scholl; Guglielmo Roma; Florian Nigsch; Botond Roska
Journal:  Cell       Date:  2020-09-17       Impact factor: 41.582

7.  The need to approximate the use-case in clinical machine learning.

Authors:  Sohrab Saeb; Luca Lonini; Arun Jayaraman; David C Mohr; Konrad P Kording
Journal:  Gigascience       Date:  2017-05-01       Impact factor: 6.524

8.  Development of neural population activity toward self-organized criticality.

Authors:  Yuichiro Yada; Takeshi Mita; Akihiro Sanada; Ryuichi Yano; Ryohei Kanzaki; Douglas J Bakkum; Andreas Hierlemann; Hirokazu Takahashi
Journal:  Neuroscience       Date:  2016-11-30       Impact factor: 3.590

Review 9.  Surface-modified CMOS IC electrochemical sensor array targeting single chromaffin cells for highly parallel amperometry measurements.

Authors:  Meng Huang; Joannalyn B Delacruz; John C Ruelas; Shailendra S Rathore; Manfred Lindau
Journal:  Pflugers Arch       Date:  2017-09-09       Impact factor: 3.657

10.  Automatic spike sorting for high-density microelectrode arrays.

Authors:  Roland Diggelmann; Michele Fiscella; Andreas Hierlemann; Felix Franke
Journal:  J Neurophysiol       Date:  2018-09-12       Impact factor: 2.714

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