A chronic micropositioning system for neurophysiology

Jitendran Muthuswamy; D. Salas; M. Okandan

A chronic micropositioning system for neurophysiology

Jitendran Muthuswamy, D. Salas, M. Okandan

Bioengineering, Harrington Department of

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

16 Scopus citations

Abstract

Microelectrode arrays fabricated for monitoring single and multi-neuronal action potentials often fail to record from the same population of neurons over a period of time. The number of recorded neurons tends to decrease due to micromotion of neurons away from the microelectrode, gliosis around the recording site and also brain movement due to behavior. We report here for the first time, a novel electrostatic microactuator based positioning system that will enable chronic tracking of single neurons. The electrostatic microactuators are fabricated using the SUMMiT™ (Sandia's Ultraplanar Multi-level MEMS Technology) process, a 5-layer polysilicon micromachining technology of the Sandia National Labs, NM. The microfabricated microactuators enable precise positioning of microelectrodes in the brain and subsequently upon implantation track specific neurons with minimal behavioral hindrance. The micropositioning system has been designed for chronic precision electrophysiology in rodents. We believe however, that this system will greatly enable precision monitoring and intervention during brain function and dysfunction.

Original language	English (US)
Title of host publication	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages	2115-2116
Number of pages	2
Volume	3
State	Published - 2002
Event	Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States Duration: Oct 23 2002 → Oct 26 2002

Other

Other	Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS)
Country/Territory	United States
City	Houston, TX
Period	10/23/02 → 10/26/02

Keywords

Action potentials
Microactuator
Microelectrodes
Micromachining
Micropositioners
Single-unit activity

ASJC Scopus subject areas

Bioengineering

Cite this

Muthuswamy, J, Salas, D & Okandan, M 2002, A chronic micropositioning system for neurophysiology. in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. vol. 3, pp. 2115-2116, Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS), Houston, TX, United States, 10/23/02.

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AU - Okandan, M.

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AB - Microelectrode arrays fabricated for monitoring single and multi-neuronal action potentials often fail to record from the same population of neurons over a period of time. The number of recorded neurons tends to decrease due to micromotion of neurons away from the microelectrode, gliosis around the recording site and also brain movement due to behavior. We report here for the first time, a novel electrostatic microactuator based positioning system that will enable chronic tracking of single neurons. The electrostatic microactuators are fabricated using the SUMMiT™ (Sandia's Ultraplanar Multi-level MEMS Technology) process, a 5-layer polysilicon micromachining technology of the Sandia National Labs, NM. The microfabricated microactuators enable precise positioning of microelectrodes in the brain and subsequently upon implantation track specific neurons with minimal behavioral hindrance. The micropositioning system has been designed for chronic precision electrophysiology in rodents. We believe however, that this system will greatly enable precision monitoring and intervention during brain function and dysfunction.

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KW - Micropositioners

KW - Single-unit activity

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A chronic micropositioning system for neurophysiology

Abstract

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Keywords

ASJC Scopus subject areas

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