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Cited by 1,012

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

In vivo recordings of brain activity using organic transistors

Open access
Khodagholy, Dion, Doublet, Thomas, Quilichini, Pascale, Gurfinkel, Moshe, Leleux, Pierre, Ghestem, Antoine, Ismailova, Esma, Hervé, Thierry, Sanaur, Sébastien, Bernard, Christophe, Malliaras, George G.·2013·Nature Communications

Abstract

In vivo electrophysiological recordings of neuronal circuits are necessary for diagnostic purposes and for brain-machine interfaces. Organic electronic devices constitute a promising candidate because of their mechanical flexibility and biocompatibility. Here we demonstrate the engineering of an organic electrochemical transistor embedded in an ultrathin organic film designed to record electrophysiological signals on the surface of the brain. The device, tested in vivo on epileptiform discharges, displayed superior signal-to-noise ratio due to local amplification compared with surface electrodes. The organic transistor was able to record on the surface low-amplitude brain activities, which were poorly resolved with surface electrodes. This study introduces a new class of biocompatible, highly flexible devices for recording brain activity with superior signal-to-noise ratio that hold great promise for medical applications. Flexible organic electronic devices have the potential to serve as biosensors in living animals. Khodagholy et al. show that organic transistors can be used to record brain activity in rats and demonstrate that they have a superior signal-to-noise ratio compared with electrodes due to local signal amplification.

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Registry

Crossref · 10.1038/ncomms2573

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6 of 6 references verified0 citation errors · 0 not checkable

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Metadata

Authors
Khodagholy, D., Doublet, T., Quilichini, P., Gurfinkel, M., Leleux, P., Ghestem, A., Ismailova, E., Hervé, T., Sanaur, S., Bernard, C., & Malliaras, G. G.
Venue
Nature Communications
Published
2013-03-12
Volume
4
Issue
1
Pages
1575-1575
ISSN
2041-1723 (ISSN-L)
OpenAlex
W1972277019
Cited by
1,012
References
6
FWCI
25.92
Type
journal article
Language
en
Open access
hybrid

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