The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Chronic Neural Recording Using Silicon-Substrate Microelectrode Arrays Implanted in Cerebral Cortex
Abstract
An important aspect of the development of cortical prostheses is the enhancement of suitable implantable microelectrode arrays for chronic neural recording. The objective of this study was to investigate the recording performance of silicon-substrate micromachined probes in terms of reliability and signal quality. These probes were found to consistently and reliably provide high-quality spike recordings over extended periods of time lasting up to 127 days. In a consecutive series of ten rodents involving 14 implanted probes, 13/14 (93%) of the devices remained functional throughout the assessment period. More than 90% of the probe sites consistently recorded spike activity with signal-to-noise ratios sufficient for amplitudes and waveform-based discrimination. Histological analysis of the tissue surrounding the probes generally indicated the development of a stable interface sufficient for sustained electrical contact. The results of this study demonstrate that these planar silicon probes are suitable for long-term recording in the cerebral cortex and provide an effective platform technology foundation for microscale intracortical neural interfaces for use in humans.
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
Brain–computer interfaces for communication and control
Wolpaw, J. R., Birbaumer, N., McFarland, D. J., Pfurtscheller, G., & Vaughan, T. M. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00057-3 · Cited by 7,927
Learning to control a brain–machine interface for reaching and grasping by primates
Carmena, J. M., Lebedev, M. A., Crist, R. E., O'Doherty, J. E., Santucci, D. M., Dimitrov, D. F., Patil, P. G., Henriquez, C. S., & Nicolelis, M. A. L. (2003) · PLoS Biology · doi:10.1371/journal.pbio.0000042 · Cited by 1,761
Cortex: Statistics and Geometry of Neuronal Connectivity
Braitenberg, V., & Schüz, A. (1998) · doi:10.1007/978-3-662-03733-1 · Cited by 1,178 · cited 1×
“Making a first-order assumption of cell densities in human cortex [ 35 ], this tissue displacement would involve approximately 50 neurons and 40 000 synapses for this type of silicon probe and approximately 1600 neurons and 1 280 000 synapses for this type of microwire array.”
BackgroundChronic, multisite, multielectrode recordings in macaque monkeys
Nicolelis, M. A. L., Dimitrov, D., Carmena, J. M., Crist, R., Lehew, G., Kralik, J. D., & Wise, S. P. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1934665100 · Cited by 740
Chronic recording capability of the Utah Intracortical Electrode Array in cat sensory cortex
Rousche, P. J., & Normann, R. A. (1998) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(98)00031-4 · Cited by 646
Micromachined, Polyimide-Based Devices for Flexible Neural Interfaces
Stieglitz, T., Beutel, H., Schuettler, M., & Meyer, J.-U. (2000) · Biomedical Microdevices · doi:10.1023/a:1009955222114 · Cited by 343
A high-yield microassembly structure for three-dimensional microelectrode arrays
Bai, Q., Wise, K. D., & Anderson, D. J. (2000) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.827288 · Cited by 245
Multiple microelectrode-recording system for human intracortical applications
Ulbert, I., Halgren, E., Heit, G., & Karmos, G. (2001) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(01)00330-2 · Cited by 173
Cited by
Neural Stimulation and Recording Electrodes
Cogan, S. F. (2008) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.10.061807.160518 · Cited by 2,243
Microneedles for drug and vaccine delivery
Kim, Y.-C., Park, J.-H., & Prausnitz, M. R. (2012) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.04.005 · Cited by 1,760
Brain-Controlled Interfaces: Movement Restoration with Neural Prosthetics
Schwartz, A. B., Cui, X. T., Weber, D. J., & Moran, D. W. (2006) · Neuron · doi:10.1016/j.neuron.2006.09.019 · Cited by 792
Novel electrode technologies for neural recordings
Hong, G., & Lieber, C. M. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0140-6 · Cited by 695
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
Self-citation
Metadata
- Authors
- Vetter, R. J., Williams, J. C., Hetke, J. F., Nunamaker, E. A., & Kipke, D. R.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2004-06
- Volume
- 51
- Issue
- 6
- Pages
- 896-904
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2172139367
- Cited by
- 475
- References
- 8
- FWCI
- 8.20
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.
