High-density transparent graphene arrays for predicting cellular calcium activity at depth from surface potential recordings.
Journal
Nature nanotechnology
ISSN: 1748-3395
Titre abrégé: Nat Nanotechnol
Pays: England
ID NLM: 101283273
Informations de publication
Date de publication:
11 Jan 2024
11 Jan 2024
Historique:
received:
15
12
2022
accepted:
16
11
2023
medline:
12
1
2024
pubmed:
12
1
2024
entrez:
11
1
2024
Statut:
aheadofprint
Résumé
Optically transparent neural microelectrodes have facilitated simultaneous electrophysiological recordings from the brain surface with the optical imaging and stimulation of neural activity. A remaining challenge is to scale down the electrode dimensions to the single-cell size and increase the density to record neural activity with high spatial resolution across large areas to capture nonlinear neural dynamics. Here we developed transparent graphene microelectrodes with ultrasmall openings and a large, transparent recording area without any gold extensions in the field of view with high-density microelectrode arrays up to 256 channels. We used platinum nanoparticles to overcome the quantum capacitance limit of graphene and to scale down the microelectrode diameter to 20 µm. An interlayer-doped double-layer graphene was introduced to prevent open-circuit failures. We conducted multimodal experiments, combining the recordings of cortical potentials of microelectrode arrays with two-photon calcium imaging of the mouse visual cortex. Our results revealed that visually evoked responses are spatially localized for high-frequency bands, particularly for the multiunit activity band. The multiunit activity power was found to be correlated with cellular calcium activity. Leveraging this, we employed dimensionality reduction techniques and neural networks to demonstrate that single-cell and average calcium activities can be decoded from surface potentials recorded by high-density transparent graphene arrays.
Identifiants
pubmed: 38212523
doi: 10.1038/s41565-023-01576-z
pii: 10.1038/s41565-023-01576-z
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Science Foundation (NSF)
ID : ECCS-2024776, ECCS-1752241, ECCS-1734940
Organisme : National Science Foundation (NSF)
ID : 1940202
Organisme : United States Department of Defense | United States Navy | ONR | Office of Naval Research Global (ONR Global)
ID : N000142012405, N000142312163, N000141912545
Organisme : U.S. Department of Health & Human Services | National Institutes of Health (NIH)
ID : R01 NS091010A, R01 EY025349, R01 DC014690, R21 NS109722, P30 EY022589
Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer Nature Limited.
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