Semi-chronic chamber system for simultaneous subdural electrocorticography, local field potentials, and spike recordings

Amy L. Orsborn, Charles Wang, Ken Chiang, Michel M. Maharbiz, Jonathan Viventi, Bijan Pesaran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The brain operates on many different scales, from individual neurons to interacting cortical areas. Similarly, electrophysiology can monitor neural activity at a variety of spatial resolutions. Yet the majority of electrophysiology studies focus on a single scale of measurements. Simultaneously monitoring neural activity at multiple spatial scales will be critical for better understanding neural processing and developing neuroprosthetic applications. Here, we address the technical challenge of integrating multiple recording modalities into a chronic recording system. We developed a semi-chronic chamber-based system for non-human primates to simultaneously record subdural micro-electrocorticography (μECoG), local field potentials (LFPs) and action potentials in the same tissue volume. The system combines subdural μECoG array recordings with a microdrive and uses a chamber system and artificial duras to align each component. We present the system design and validation of subdural μECoG recordings using artificial duras. Acute recordings from one non-human primate subject are shown to validate the technique.

Original languageEnglish (US)
Title of host publication2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015
PublisherIEEE Computer Society
Pages398-401
Number of pages4
Volume2015-July
ISBN (Print)9781467363891
DOIs
StatePublished - Jul 1 2015
Event7th International IEEE/EMBS Conference on Neural Engineering, NER 2015 - Montpellier, France
Duration: Apr 22 2015Apr 24 2015

Other

Other7th International IEEE/EMBS Conference on Neural Engineering, NER 2015
CountryFrance
CityMontpellier
Period4/22/154/24/15

Fingerprint

Electrophysiology
Neurons
Brain
Systems analysis
Tissue
Monitoring
Processing
Primates

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

Cite this

Orsborn, A. L., Wang, C., Chiang, K., Maharbiz, M. M., Viventi, J., & Pesaran, B. (2015). Semi-chronic chamber system for simultaneous subdural electrocorticography, local field potentials, and spike recordings. In 2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015 (Vol. 2015-July, pp. 398-401). [7146643] IEEE Computer Society. https://doi.org/10.1109/NER.2015.7146643

Semi-chronic chamber system for simultaneous subdural electrocorticography, local field potentials, and spike recordings. / Orsborn, Amy L.; Wang, Charles; Chiang, Ken; Maharbiz, Michel M.; Viventi, Jonathan; Pesaran, Bijan.

2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015. Vol. 2015-July IEEE Computer Society, 2015. p. 398-401 7146643.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Orsborn, AL, Wang, C, Chiang, K, Maharbiz, MM, Viventi, J & Pesaran, B 2015, Semi-chronic chamber system for simultaneous subdural electrocorticography, local field potentials, and spike recordings. in 2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015. vol. 2015-July, 7146643, IEEE Computer Society, pp. 398-401, 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015, Montpellier, France, 4/22/15. https://doi.org/10.1109/NER.2015.7146643
Orsborn AL, Wang C, Chiang K, Maharbiz MM, Viventi J, Pesaran B. Semi-chronic chamber system for simultaneous subdural electrocorticography, local field potentials, and spike recordings. In 2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015. Vol. 2015-July. IEEE Computer Society. 2015. p. 398-401. 7146643 https://doi.org/10.1109/NER.2015.7146643
Orsborn, Amy L. ; Wang, Charles ; Chiang, Ken ; Maharbiz, Michel M. ; Viventi, Jonathan ; Pesaran, Bijan. / Semi-chronic chamber system for simultaneous subdural electrocorticography, local field potentials, and spike recordings. 2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015. Vol. 2015-July IEEE Computer Society, 2015. pp. 398-401
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