Abstract
Cultured neuronal networks (CNNs) are powerful tools for studying how neuronal representation and adaptation emerge in networks of controlled populations of neurons. To ensure the interaction of a CNN and an artificial setting, reliable operation in both open and closed loops should be provided. In this study, we integrated optogenetic stimulation with microelectrode array (MEA) recordings using a digital micromirror device and developed an improved research tool with a 64-channel interface for neuronal network control and data acquisition. We determined the ideal stimulation parameters including light intensity, frequency, and duty cycle for our configuration. This resulted in robust and reproducible neuronal responses. We also demonstrated both open and closed loop configurations in the new platform involving multiple bidirectional channels. Unlike previous approaches that combined optogenetic stimulation and MEA recordings, we did not use binary grid patterns, but assigned an adjustable-size, non-binary optical spot to each electrode. This approach allowed simultaneous use of multiple input–output channels and facilitated adaptation of the stimulation parameters. Hence, we advanced a 64-channel interface in that each channel can be controlled individually in both directions simultaneously without any interference or interrupts. The presented setup meets the requirements of research in neuronal plasticity, network encoding and representation, closed-loop control of firing rate and synchronization. Researchers who develop closed-loop control techniques and adaptive stimulation strategies for network activity will benefit much from this novel setup.
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References
Barral J, Reyes A (2017) Optogenetic stimulation and recording of primary cultured neurons with spatiotemporal control. Bio-Protoc 7:e2335
Bisio M, Pimashkin A, Buccelli S, Tessadori J, Semprini M, Levi T, Colombi I, Gladkov A, Mukhina I, Averna A, Kazantsev V, Pasquale V, Chiappalone M (2019) Closed-loop systems and in vitro neuronal cultures: overview and applications. Adv Neurobiol 22:351–387
Brzosko Z, Schultz W, Paulsen O (2015) Retroactive modulation of spike timing-dependent plasticity by dopamine. Elife 4:e09685
Buccelli S, Bornat Y, Colombi I, Ambroise M, Martines L, Pasquale V, Bisio M, Tessadori J, Nowak P, Grassia F, Averna A, Tedesco M, Bonifazi P, Difato F, Massobrio P, Levi T, Chiappalone M (2019) A neuromorphic prosthesis to restore communication in neuronal networks. iScience 19:402–414
Caro-Martín CR, Delgado-García JM, Gruart A, Sánchez-Campusano R (2018) Spike sorting based on shape, phase, and distribution features, and K-TOPS clustering with validity and error indices. Sci Rep 8:33–38
Chan HL, Lin MA, Wu T, Lee ST, Tsai YT, Chao PK (2008) Detection of neuronal spikes using an adaptive threshold based on the max-min spread sorting method. J Neurosci Methods 172:112–121
Eguia MC, Garcia GC, Romano SA (2010) A biophysical model for modulation frequency encoding in the cochlear nucleus. J Physiol Paris 104:118–127
Erofeev A, Gerasimov E, Lavrova A, Bolshakova A, Postnikov E, Bezprozvanny I, Vlasova OL (2019) Light stimulation parameters determine neuron dynamic characteristics. Appl Sci 9:3673
Feldman DE (2012) The spike-timing dependence of plasticity. Neuron 75:556–571
Friedrich J, Yang W, Soudry D, Mu Y, Ahrens M, Yuste R, Peterka D, Paninski L (2017) Multi-scale approaches for high-speed imaging and analysis of large neural populations. PLoS Comput Biol 13:e1005685
George R, Chiappalone M, Giugliano M, Levi T, Vassanelli S, Partzsch J, Mayr C (2020) Plasticity and adaptation in neuromorphic biohybrid systems. iScience 23:1–26
Hu C, Sam R, Shan M, Nastasa V, Wang M, Kim T, Gillette M, Sengupta P, Popescu G (2019) Optical excitation and detection of neuronal activity. J Biophotonics 12:e201800269
Ishizuka T, Kakuda M, Araki R, Yawo H (2006) Kinetic evaluation of photosensitivity in genetically engineered neurons expressing green algae light-gated channels. Neurosci Res 54:85–94
Ju H, Dranias MR, Banumurthy G, VanDongen AMJ (2015) Spatiotemporal memory is an intrinsic property of networks of dissociated cortical neurons. J Neurosci 35:4040–4051
Keren H, Partzsch J, Marom S, Mayr CG (2019) A biohybrid setup for coupling biological and neuromorphic neural networks. Front Neurosci 13:1–11
Lapp H, Bruegmann T, Malan D, Friedrichs S, Kilgus C, Heidsieck A, Sasse P (2017) Frequency-dependent drug screening using optogenetic stimulation of human iPSC-derived cardiomyocytes. Sci Rep 7:1–12
Li W (2017) Optogenetic control of in vitro neural networks on multi-electrode arrays
Lu Q, Ganjawala TH, Krstevski A, Abrams GW, Pan ZH (2020) Comparison of AAV-mediated optogenetic vision restoration between retinal ganglion cell expression and ON bipolar cell targeting. Mol Ther Methods Clin Dev 18:15–23
Massobrio P, Tessadori J, Chiappalone M, Ghirardi M (2015) In vitro studies of neuronal networks and synaptic plasticity in invertebrates and in mammals using multielectrode arrays. Neural Plast 2015:196195
Mena GE, Grosberg LE, Madugula S, Hottowy P, Litke A, Cunningham J, Chichilnisky EJ, Paninski L (2017) Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays. PLoS Comput Biol 13:e1005842
Mosbacher Y, Khoyratee F, Goldin M, Kanner S, Malakai Y, Silva M, Grassia F, Ben SY, Cortes J, Barzilai A, Levi T, Bonifazi P (2020) Toward neuroprosthetic real-time communication from in silico to biological neuronal network via patterned optogenetic stimulation. Sci Rep 10:1–16
Muzzi L, Hassink G, Levers M, Jansman M, Frega M, Hofmeijer J, Van Putten M, Le Feber J (2020) Mild stimulation improves neuronal survival in an in vitro model of the ischemic penumbra. J Neural Eng 17:016001
Newman JP, Fong MF, Millard DC, Whitmire CJ, Stanley GB, Potter SM (2015) Optogenetic feedback control of neural activity. Elife 4:1–24
Obien MEJ, Deligkaris K, Bullmann T, Bakkum DJ, Frey U (2015) Revealing neuronal function through microelectrode array recordings. Front Neurosci 9:423
Odawara A, Katoh H, Matsuda N, Suzuki I (2016) Induction of long-term potentiation and depression phenomena in human induced pluripotent stem cell-derived cortical neurons. Biochem Biophys Res Commun 469:856–862
Pandarinath C, Carlson ET, Nirenberg S (2013) A system for optically controlling neural circuits with very high spatial and temporal resolution. In: 13th IEEE Int Conf Bioinforma Bioeng IEEE BIBE 2013, pp 1–14
Pimashkin A, Gladkov A, Mukhina I, Kazantsev V (2013) Adaptive enhancement of learning protocol in hippocampal cultured networks grown on multielectrode arrays. Front Neural Circuits 7:1–9
Pulizzi R, Musumeci G, Van Den Haute C, Van De Vijver S, Baekelandt V, Giugliano M (2016) Brief wide-field photostimuli evoke and modulate oscillatory reverberating activity in cortical networks. Sci Rep 6:4–5
Satuvuori E, Mulansky M, Bozanic N, Malvestio I, Zeldenrust F, Lenk K, Kreuz T (2017) Measures of spike train synchrony for data with multiple time scales. J Neurosci Methods 287:25–38
Schmieder F, Klapper SD, Koukourakis N, Busskamp V, Czarske JW (2018) Optogenetic stimulation of human neural networks using fast ferroelectric spatial light modulator-based holographic Illumination. Appl Sci 8:1180
Steude A, Witts EC, Miles GB, Gather MC (2016) Arrays of microscopic organic LEDs for high-resolution optogenetics. Sci Adv 2:e1600061
Tafazoli S, MacDowell CJ, Che Z, Letai KC, Steinhardt C, Buschman TJ (2020) Learning to control the brain through adaptive closed-loop patterned stimulation. J Neural Eng 17:056007
To WT, De Ridder D, Hart J, Vanneste S (2018) Changing brain networks through non-invasive neuromodulation. Front Hum Neurosci 12:1–17
Turesson HK, Rodríguez-Sierra OE, Pare D (2013) Intrinsic connections in the anterior part of the bed nucleus of the stria terminalis. J Neurophysiol 109:2438–2450
Twyford PT (2011) Spatiotemporally precise optical stimulation system for controlling neuronal activity in-vitro
Wagenaar DA, Madhavan R, Pine J, Potter SM (2005) Controlling bursting in cortical cultures with closed-loop multi-electrode stimulation. J Neurosci 25:680–688
Wagenaar DA, Pine J, Potter SM (2006) Searching for plasticity in dissociated cortical cultures on multi-electrode arrays. J Negat Results Biomed 5:1–9
Welkenhuysen M, Hoffman L, Luo Z, De Proft A, Van Den Haute C, Baekelandt V, Debyser Z, Gielen G, Puers R, Braeken D (2016) An integrated multi-electrode-optrode array for in vitro optogenetics. Sci Rep 6:1–10
Zhang F, Wang LP, Brauner M, Liewald JF, Kay K, Watzke N, Wood PG, Bamberg E, Nagel G, Gottschalk A, Deisseroth K (2007) Multimodal fast optical interrogation of neural circuitry. Nature 446:633–639
Zirkle J, Rubchinsky LL (2020) Spike-timing dependent plasticity effect on the temporal patterning of neural synchronization. Front Comput Neurosci 14:1–13
Acknowledgements
We thank Bora Garipcan, Ph.D., Deniz Atasoy, Ph.D., and Guenter Gross, Ph.D., for their technical supports and valuable advices throughout our research.
Funding
This work is funded by Boğaziçi University Research Fund to author Albert Güveniş under Project Code 8080D. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Bayat, F.K., Alp, M.İ., Bostan, S. et al. An improved platform for cultured neuronal network electrophysiology: multichannel optogenetics integrated with MEAs. Eur Biophys J 51, 503–514 (2022). https://doi.org/10.1007/s00249-022-01613-0
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DOI: https://doi.org/10.1007/s00249-022-01613-0