The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
In vivo recordings of brain activity using organic transistors
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
Buzsáki, G. (2006) · doi:10.1093/acprof:oso/9780195301069.001.0001 · Cited by 4,873
The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
Buzsáki, G., Anastassiou, C. A., & Koch, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3241 · Cited by 4,225
Ludwig, K. A., Uram, J. D., Yang, J., Martin, D. C., & Kipke, D. R. (2006) · Journal of Neural Engineering · doi:10.1088/1741-2560/3/1/007 · Cited by 638
Dinocourt, C., Petanjek, Z., Freund, T. F., Ben‐Ari, Y., & Esclapez, M. (2003) · Journal of Comparative Neurology · doi:10.1002/cne.10622 · Cited by 208
Cited by
The rise of plastic bioelectronics
Someya, T., Bao, Z., & Malliaras, G. G. (2016) · Nature · doi:10.1038/nature21004 · Cited by 1,884
Self-citationMultifunctional wearable devices for diagnosis and therapy of movement disorders
Son, D., Lee, J., Qiao, S., Ghaffari, R., Kim, J., Lee, J. E., Song, C., Kim, S. J., Lee, D. J., Jun, S. W., et al. (2014) · Nature Nanotechnology · doi:10.1038/nnano.2014.38 · Cited by 1,462
A bioinspired flexible organic artificial afferent nerve
Kim, Y., Chortos, A., Xu, W., Liu, Y., Oh, J. Y., Son, D., Kang, J., Foudeh, A. M., Zhu, C., Lee, Y., et al. (2018) · Science · doi:10.1126/science.aao0098 · Cited by 1,466
Self-powered ultra-flexible electronics via nano-grating-patterned organic photovoltaics
Park, S., Heo, S. W., Lee, W., Inoue, D., Jiang, Z., Yu, K., Jinno, H., Hashizume, D., Sekino, M., Yokota, T., et al. (2018) · Nature · doi:10.1038/s41586-018-0536-x · Cited by 1,068
NeuroGrid: recording action potentials from the surface of the brain
Khodagholy, D., Gelinas, J. N., Thesen, T., Doyle, W., Devinsky, O., Malliaras, G. G., & Buzsáki, G. (2015) · Nature Neuroscience · doi:10.1038/nn.3905 · Cited by 938
Self-citation
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
- 5
- FWCI
- 25.92
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: In vivo recordings of brain activity using organic transistors. https://app.cochat.ai/papers/10.1038/ncomms2573
- The paper
- Khodagholy, D., Doublet, T., Quilichini, P., Gurfinkel, M., Leleux, P., Ghestem, A., Ismailova, E., Hervé, T., Sanaur, S., Bernard, C., & Malliaras, G. G. (2013). In vivo recordings of brain activity using organic transistors. Nature Communications. https://doi.org/10.1038/ncomms2573
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
