Data-driven Analysis for Optogenetic Nonstationary Local Filed Potentials

1XANDRE CLEMENTSMITH (Presenter), 2SORINEL OPRISAN ( 1 Department of Psychology, 2Department of Physics and Astronomy, College of Charleston, 66 George St., Charleston, SC 29424 3,4TAMAS TOMPA (, 3ANTONIETA LAVIN (, 3Department of Neuroscience, Medical University of South Carolina, 96 Jonathan Lucas St., Charleston, SC 29425 4 Faculty of Healthcare, Department of Preventive Medicine, University of Miskolc, Miskolc, Hungary

Recent data from the National Survey on Drug Use and Health show that hospitalization costs for people with substance use disorders involving illicit drugs were over $11 billion. The overall cost incurred by society exceeds $200 billion. In this context, our study focuses on uncovering changes in the activity of the medial prefrontal cortex (mPFC) of mice due to systemic injection with cocaine. During the in vivo optogenetic experiments, we optically stimulated the mPFC network with an implanted fiber optics and recorded the local field potential activity. Due to the nonlinearity of neural coupling among neurons and the nonstationarity of LFPs, we used the empirical mode decomposition method to extract information regarding cocaine-induced changes in different brain wavebands. The number of intrinsic mode functions (IMFs), which orthogonally decompose the LFPs, was selected such that it matches the mean frequency of known brain waves (delta, theta, alpha, beta, and gamma). Our primary focus was on the quantitative description of spectral characteristics of gamma (> 35 Hz) brain waves due to cocaine addiction.


This project was supported by grants from the National Center for Research Resources (5 P20 RR016461) and the National Institute of General Medical Sciences (8 P20 GM103499) from the National Institutes of Health.

Additional Abstract Information

Presenter: Xandre Clementsmith

Institution: College of Charleston

Type: Poster

Subject: Interdisciplinary Studies

Status: Approved

Time and Location

Session: Poster 8
Date/Time: Tue 5:00pm-6:00pm
Session Number: 5522