DocumentCode
3722035
Title
Dopamine sensing upon amphetamine administration
Author
Tanmay Kulkarni;Deepa Gupta;Dan Covey;Joseph Cheer;Gymama Slaughter
Author_Institution
University of Maryland Baltimore County Bioelectronics Laboratory, Department of Computer Science and Electrical Engineering, 1000 Hilltop Circle, Baltimore, MD 21250, USA
fYear
2015
Firstpage
1
Lastpage
4
Abstract
Anti-psychotic drugs and its effects on various neurotransmitters have been studied tremendously in the past few years. Here, we study the effect of Amphetamine (AMPH), both an addictive and therapeutic drug on Dopamine (DA) release. We administer AMPH drug of high dosage 10mg/kg to an adult male Sprague-Dawley rat (~350-400g) followed by electrical stimulation of DA neuron. The current corresponding to the DA concentration was sensed by a carbon fiber electrode encased in a glass. The current resulted from oxidation of DA was observed for varying stimulation lengths. Principal component regression (PCR), a multivariate two-step multivariate calibration method that involves principal component analysis (PCA) followed by regression, which was used to analyze the data. The presence of the outliers introduced 20x error in the experimentally data and PCR predicted DA concentration. Outliers were thus detected using Cook´s distance algorithm and eliminated from the training set. The improved PCR prediction shows almost accurate DA concentration prediction with linearity of 0.999.
Keywords
"Principal component analysis","Training","Electrodes","Drugs","Neurotransmitters","Oxidation","Carbon"
Publisher
ieee
Conference_Titel
SENSORS, 2015 IEEE
Type
conf
DOI
10.1109/ICSENS.2015.7370580
Filename
7370580
Link To Document