| Wireless Instantaneous Neurotransmitter Concentration Sensing System (WINCS) for intraoperative neurochemical monitoring. | |
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MedLine Citation:
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PMID: 19963865 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The Wireless Instantaneous Neurotransmitter Concentration Sensing System (WINCS) measures extracellular neurotransmitter concentration in vivo and displays the data graphically in nearly real time. WINCS implements two electroanalytical methods, fast-scan cyclic voltammetry (FSCV) and fixed-potential amperometry (FPA), to measure neurotransmitter concentrations at an electrochemical sensor, typically a carbon-fiber microelectrode. WINCS comprises a battery-powered patient module and a custom software application (WINCSware) running on a nearby personal computer. The patient module impresses upon the electrochemical sensor either a constant potential (for FPA) or a time-varying waveform (for FSCV). A transimpedance amplifier converts the resulting current to a signal that is digitized and transmitted to the base station via a Bluetooth radio link. WINCSware controls the operational parameters for FPA or FSCV, and records the transmitted data stream. Filtered data is displayed in various formats, including a background-subtracted plot of sequential FSCV scans - a representation that enables users to distinguish the signatures of various analytes with considerable specificity. Dopamine, glutamate, adenosine and serotonin were selected as analytes for test trials. Proof-of-principle tests included in vitro flow-injection measurements and in vivo measurements in rat and pig. Further testing demonstrated basic functionality in a 3-Tesla MRI unit. WINCS was designed in compliance with consensus standards for medical electrical device safety, and it is anticipated that its capability for real-time intraoperative monitoring of neurotransmitter release at an implanted sensor will prove useful for advancing functional neurosurgery. |
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Authors:
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Christopher J Kimble; David M Johnson; Bruce A Winter; Sidney V Whitlock; Kenneth R Kressin; April E Horne; Justin C Robinson; Jonathan M Bledsoe; Susannah J Tye; Su-Youne Chang; Filippo Agnesi; Christoph J Griessenauer; Daniel Covey; Young-Min Shon; Kevin E Bennet; Paul A Garris; Kendall H Lee |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 2009 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2009 |
Date Detail:
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Created Date: 2009-12-07 Completed Date: 2010-03-18 Revised Date: 2013-05-31 |
Medline Journal Info:
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Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 4856-9 Citation Subset: IM |
Affiliation:
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Division of Engineering, Mayo Clinic, Rochester, MN 55905, USA. ckimble@mayo.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Biosensing Techniques
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instrumentation*,
methods* Brain / metabolism Dopamine / metabolism Humans Monitoring, Intraoperative / instrumentation*, methods* Serotonin / metabolism Software |
| Grant Support | |
ID/Acronym/Agency:
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K08 NS 52232/NS/NINDS NIH HHS; K08 NS052232-01A2/NS/NINDS NIH HHS |
| Chemical | |
Reg. No./Substance:
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50-67-9/Serotonin |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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