Document Detail


Wireless Instantaneous Neurotransmitter Concentration Sensing System (WINCS) for intraoperative neurochemical monitoring.
MedLine Citation:
PMID:  19963865     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
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:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  2009     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2009  
Date Detail:
Created Date:  2009-12-07     Completed Date:  2010-03-18     Revised Date:  2014-09-08    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  4856-9     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Biosensing Techniques / instrumentation*,  methods*
Brain / metabolism
Dopamine / metabolism
Humans
Monitoring, Intraoperative / instrumentation*,  methods*
Serotonin / metabolism
Software
Grant Support
ID/Acronym/Agency:
K08 NS 52232/NS/NINDS NIH HHS; K08 NS052232/NS/NINDS NIH HHS; K08 NS052232-01A2/NS/NINDS NIH HHS
Chemical
Reg. No./Substance:
333DO1RDJY/Serotonin; VTD58H1Z2X/Dopamine
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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