High-density transparent graphene arrays for predicting cellular calcium activity at depth from surface potential recordings – Nature Nanotechnology

Frank, J. A., Antonini, M.-J. & Anikeeva, P. Next-generation interfaces for studying neural function. Nat. Biotechnol. 37, 1013–1023 (2019).

Article  CAS  Google Scholar 

Machado, T. A., Kauvar, I. V. & Deisseroth, K. Multiregion neuronal activity: the forest and the trees. Nat. Rev. Neurosci. 23, 683–704 (2022).

Article  CAS  Google Scholar 

Logothetis, N. K. et al. Hippocampal–cortical interaction during periods of subcortical silence. Nature 491, 547–553 (2012).

Article  CAS  Google Scholar 

Gradinaru, V. et al. Optical deconstruction of parkinsonian neural circuitry. Science 324, 354–359 (2009).

Article  CAS  Google Scholar 

Fernández-Ruiz, A. et al. Gamma rhythm communication between entorhinal cortex and dentate gyrus neuronal assemblies. Science 372, eabf3119 (2021).

Article  Google Scholar 

Bi, X.-a et al. A novel CERNNE approach for predicting Parkinson’s disease-associated genes and brain regions based on multimodal imaging genetics data. Med. Image Anal. 67, 101830 (2021).

Article  Google Scholar 

Zhang, D. et al. Multimodal classification of Alzheimer’s disease and mild cognitive impairment. Neuroimage 55, 856–867 (2011).

Article  Google Scholar 

Chiarelli, A. M. et al. Deep learning for hybrid EEG-fNIRS brain–computer interface: application to motor imagery classification. J. Neural Eng. 15, 036028 (2018).

Article  Google Scholar 

Halme, H.-L. & Parkkonen, L. Across-subject offline decoding of motor imagery from MEG and EEG. Sci. Rep. 8, 10087 (2018).

Article  Google Scholar 

Liu, X. et al. Decoding of cortex-wide brain activity from local recordings of neural potentials. J. Neural Eng. 18, 066009 (2021).

Article  Google Scholar 

Siegle, J. H. et al. Survey of spiking in the mouse visual system reveals functional hierarchy. Nature 592, 86–92 (2021).

Article  CAS  Google Scholar 

Kuzum, D. et al. Transparent and flexible low noise graphene electrodes for simultaneous electrophysiology and neuroimaging. Nat. Commun. 5, 5259 (2014).

Article  CAS  Google Scholar 

Park, D.-W. et al. Graphene-based carbon-layered electrode array technology for neural imaging and optogenetic applications. Nat. Commun. 5, 5258 (2014).

Article  CAS  Google Scholar 

Thunemann, M. et al. Deep 2-photon imaging and artifact-free optogenetics through transparent graphene microelectrode arrays. Nat. Commun. 9, 2035 (2018).

Article  Google Scholar 

Driscoll, N. et al. Multimodal in vivo recording using transparent graphene microelectrodes illuminates spatiotemporal seizure dynamics at the microscale. Commun. Biol. 4, 136 (2021).

Article  CAS  Google Scholar 

Park, D.-W. et al. Electrical neural stimulation and simultaneous in vivo monitoring with transparent graphene electrode arrays implanted in GCaMP6f mice. ACS Nano 12, 148–157 (2018).

Article  CAS  Google Scholar 

Ledochowitsch, P. et al. A transparent μECoG array for simultaneous recording and optogenetic stimulation. In Proc. 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2937–2940 (IEEE, 2011).

Kwon, K. Y. et al. Opto-μECoG array: a hybrid neural interface with transparent μECoG electrode array and integrated LEDs for optogenetics. IEEE Trans. Biomed. Circuits Syst. 7, 593–600 (2013).

Article  Google Scholar 

Kunori, N. & Takashima, I. A transparent epidural electrode array for use in conjunction with optical imaging. J. Neurosci. Methods 251, 130–137 (2015).

Article  Google Scholar 

Ledochowitsch, P. et al. Strategies for optical control and simultaneous electrical readout of extended cortical circuits. J. Neurosci. Methods 256, 220–231 (2015).

Article  CAS  Google Scholar 

Zhang, J. et al. Stretchable transparent electrode arrays for simultaneous electrical and optical interrogation of neural circuits in vivo. Nano Lett. 18, 2903–2911 (2018).

Article  CAS  Google Scholar 

Chen, Z. et al. Flexible and transparent metal nanowire microelectrode arrays and interconnects for electrophysiology, optogenetics, and optical mapping. Adv. Mater. Technol. 6, 2100225 (2021).

Article  CAS  Google Scholar 

Neto, J. P. et al. Transparent and flexible electrocorticography electrode arrays based on silver nanowire networks for neural recordings. ACS Appl. Nano Mater. 4, 5737–5747 (2021).

Article  CAS  Google Scholar 

Araki, T. et al. Long‐term implantable, flexible, and transparent neural interface based on Ag/Au core–shell nanowires. Adv. Healthc. Mater. 8, 1900130 (2019).

Article  Google Scholar 

Seo, K. J. et al. Transparent electrophysiology microelectrodes and interconnects from metal nanomesh. ACS Nano 11, 4365–4372 (2017).

Article  CAS  Google Scholar 

Seo, J. W. et al. Artifact‐free 2D mapping of neural activity in vivo through transparent gold nanonetwork array. Adv. Funct. Mater. 30, 2000896 (2020).

Article  CAS  Google Scholar 

Obaid, S. N. et al. Multifunctional flexible biointerfaces for simultaneous colocalized optophysiology and electrophysiology. Adv. Funct. Mater. 30, 1910027 (2020).

Article  CAS  Google Scholar 

Qiang, Y. et al. Transparent arrays of bilayer-nanomesh microelectrodes for simultaneous electrophysiology and two-photon imaging in the brain. Sci. Adv. 4, eaat0626 (2018).

Article  CAS  Google Scholar 

Cho, Y. U. et al. Ultra‐low cost, facile fabrication of transparent neural electrode array for electrocorticography with photoelectric artifact‐free optogenetics. Adv. Funct. Mater. 32, 2105568 (2022).

Article  CAS  Google Scholar 

Yang, W. et al. A fully transparent, flexible PEDOT:PSS–ITO–Ag–ITO based microelectrode array for ECoG recording. Lab Chip 21, 1096–1108 (2021).

Article  CAS  Google Scholar 

Kshirsagar, P. et al. Transparent graphene/PEDOT:PSS microelectrodes for electro‐ and optophysiology. Adv. Mater. Technol. 4, 1800318 (2019).

Article  Google Scholar 

Viswam, V. et al. Optimal electrode size for multi-scale extracellular-potential recording from neuronal assemblies. Front. Neurosci. 13, 385 (2019).

Article  Google Scholar 

Rogers, N. et al. Correlation structure in micro-ECoG recordings is described by spatially coherent components. PLoS Comput. Biol. 15, e1006769 (2019).

Article  CAS  Google Scholar 

Harris, K. D. et al. Improving data quality in neuronal population recordings. Nat. Neurosci. 19, 1165–1174 (2016).

Article  Google Scholar 

Akinwande, D. et al. A review on mechanics and mechanical properties of 2D materials—graphene and beyond. Extrem. Mech. Lett. 13, 42–77 (2017).

Article  Google Scholar 

Kireev, D. et al. Continuous cuffless monitoring of arterial blood pressure via graphene bioimpedance tattoos. Nat. Nanotechnol. 17, 864–870 (2022).

Article  CAS  Google Scholar 

Sahni, D. et al. Biocompatibility of pristine graphene for neuronal interface. J. Neurosurg. Pediatr. 11, 575–583 (2013).

Article  Google Scholar 

Liu, X. et al. E-cannula reveals anatomical diversity in sharp-wave ripples as a driver for the recruitment of distinct hippocampal assemblies. Cell Rep. 41, 111453 (2022).

Article  CAS  Google Scholar 

Ding, D. et al. Evaluation of durability of transparent graphene electrodes fabricated on different flexible substrates for chronic in vivo experiments. IEEE Trans. Biomed. Eng. 67, 3203–3210 (2020).

Article  Google Scholar 

Wilson, M. N. et al. Multimodal monitoring of human cortical organoids implanted in mice reveal functional connection with visual cortex. Nat. Commun. 13, 7945 (2022).

Article  CAS  Google Scholar 

Bonaccini Calia, A. et al. Full-bandwidth electrophysiology of seizures and epileptiform activity enabled by flexible graphene microtransistor depth neural probes. Nat. Nanotechnol. 17, 301–309 (2022).

Article  CAS  Google Scholar 

Masvidal-Codina, E. et al. High-resolution mapping of infraslow cortical brain activity enabled by graphene microtransistors. Nat. Mater. 18, 280–288 (2019).

Article  CAS  Google Scholar 

Lu, Y. et al. Ultralow impedance graphene microelectrodes with high optical transparency for simultaneous deep two‐photon imaging in transgenic mice. Adv. Funct. Mater. 28, 1800002 (2018).

Article  Google Scholar 

Xia, J. et al. Measurement of the quantum capacitance of graphene. Nat. Nanotechnol. 4, 505–509 (2009).

Article  CAS  Google Scholar 

Liu, X. et al. Multimodal neural recordings with Neuro-FITM uncover diverse patterns of cortical–hippocampal interactions. Nat. Neurosci. 24, 886–896 (2021).

Article  CAS  Google Scholar 

Łęski, S. et al. Frequency dependence of signal power and spatial reach of the local field potential. PLoS Comput. Biol. 9, e1003137 (2013).

Article  Google Scholar 

Myers, J. C. et al. The spatial reach of neuronal coherence and spike-field coupling across the human neocortex. J. Neurosci. 42, 6285–6294 (2022).

Article  CAS  Google Scholar 

Liu, X. et al. Decoding ECoG high gamma power from cellular calcium response using transparent graphene microelectrodes. In Proc. 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) 710–713 (IEEE, 2019).

Gallego, J. A. et al. Neural manifolds for the control of movement. Neuron 94, 978–984 (2017).

Article  CAS  Google Scholar 

Elsayed, G. F. et al. Reorganization between preparatory and movement population responses in motor cortex. Nat. Commun. 7, 13239 (2016).

Article  CAS  Google Scholar 

Stringer, C. et al. Spontaneous behaviors drive multidimensional, brainwide activity. Science 364, eaav7893 (2019).

Article  CAS  Google Scholar 

Okun, M. et al. Diverse coupling of neurons to populations in sensory cortex. Nature 521, 511–515 (2015).

Article  CAS  Google Scholar 

Stringer, C. et al. High-dimensional geometry of population responses in visual cortex. Nature 571, 361–365 (2019).

Article  CAS  Google Scholar 

Lin, M. Z. & Schnitzer, M. J. Genetically encoded indicators of neuronal activity. Nat. Neurosci. 19, 1142–1153 (2016).

Article  Google Scholar 

Zhang, D. et al. Dealing with the foreign‐body response to implanted biomaterials: strategies and applications of new materials. Adv. Funct. Mater. 31, 2007226 (2021).

Article  CAS  Google Scholar 

Carnicer-Lombarte, A. et al. Foreign body reaction to implanted biomaterials and its impact in nerve neuroprosthetics. Front. Bioeng. Biotechnol. 9, 271 (2021).

Salatino, J. W. et al. Glial responses to implanted electrodes in the brain. Nat. Biomed. Eng. 1, 862–877 (2017).

Article  CAS  Google Scholar 

Wang, Y. et al. Electrochemical delamination of CVD-grown graphene film: toward the recyclable use of copper catalyst. ACS Nano 5, 9927–9933 (2011).

Article  CAS  Google Scholar 

Brug, G. et al. The analysis of electrode impedances complicated by the presence of a constant phase element. J. Electroanal. Chem. Interfacial Electrochem. 176, 275–295 (1984).

Article  CAS  Google Scholar 

Mayford, M. et al. Control of memory formation through regulated expression of a CaMKII transgene. Science 274, 1678–1683 (1996).

Article  CAS  Google Scholar 

Wekselblatt, J. B. et al. Large-scale imaging of cortical dynamics during sensory perception and behavior. J. Neurophysiol. 115, 2852–2866 (2016).

Article  CAS  Google Scholar 

Mitani, A. & Komiyama, T. Real-time processing of two-photon calcium imaging data including lateral motion artifact correction. Front. Neuroinform. 12, 98 (2018).

Article  Google Scholar 

Pachitariu, M. et al. Suite2p: beyond 10,000 neurons with standard two-photon microscopy. Preprint at bioRxiv https://doi.org/10.1101/061507 (2016).

Yu, B. M. et al. Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity. in Advances in Neural Information Processing Systems Vol. 21 (Curran Associates, 2008).