Navigation Links
Computer model shows changes in brain mechanisms for cocaine addicts

COLUMBIA, Mo. About 2 million Americans currently use cocaine for its temporary side-effects of euphoria, which have contributed to making it one of the most dangerous and addictive drugs in the country. Cocaine addiction, which can cause severe biological and behavioral problems, is very difficult to overcome. Now, University of Missouri researchers Ashwin Mohan and Sandeep Pendyam, doctoral students in the Department of Electrical and Computer Engineering, are utilizing computational models to study how the brain's chemicals and synaptic mechanisms, or connections between neurons, react to cocaine addiction and what this could mean for future therapies.

"With cocaine addiction, addicts don't feel an urge to revolt because there is a strong connection in the brain from the decision-making center to the pleasure center, which overwhelms other normal rewards and is why they keep seeking it," Pendyam said. "By using computational models, we're targeting the connection in the brain that latches onto the pleasure center and the parameters that maintain that process."

Glutamate is the major chemical released in the synaptic connections in the brain; the right amount present determines the activity of those connections. Using the computational model, MU researchers found that in an addict's brain excessive glutamate produced in the pleasure center makes the brain's mechanisms unable to regulate themselves and creates permanent damage, making cocaine addiction a disease that is more than just a behavioral change.

"Our model showed that the glutamate transporters, a protein present around these connections that remove glutamate, are almost 40 percent less functional after chronic cocaine usage," Mohan said. "This damage is long lasting, and there is no way for the brain to regulate itself. Thus, the brain structure in this context actually changes in cocaine addicts."

Mohan and Pendyam, in collaboration with MU professor Satish Nair, professor of electrical and computer engineering, and Peter Kalivas, professor and chair of the neuroscience department at the Medical University of South Carolina, found that the parameters of the brain that activate the pleasure center's connections beyond those that have been discovered must undergo alteration in order for addicts to recover. This novel prediction by the computer model was confirmed based on experimental studies done on animal models by Kalivas' laboratory.

"The long-term objective of our research is to find out how some rehabilitative drugs work by devising a model of the fundamental workings of an addict's brain," said Mohan, who will attend Washington University in St. Louis for his postdoctoral fellowship. "Using a systems approach helped us to find key information about the addict's brain that had been missed in the past two decades of cocaine addiction research."


Contact: Kelsey Jackson
University of Missouri-Columbia

Related medicine news :

1. Computers Might Make Learning Lip Reading Easier
2. New computer models aim to classify, help reduce injury accidents
3. Premier Inc. Awards Dynamic Computer Corporation With a Group Purchasing Agreement to Provide RFID Asset Tracking and Management Solutions for Its Member Network
4. Computer system improves pain therapy for cancer patients
5. Career Step Partners with Computer Learning Center to Help Students Gain Careers in Growing Healthcare Industry
6. Orthocare Innovations Receives Prestigious R&D 100 Award for Computerized Prosthesis Alignment System
7. Virginia Bioinformatics Institute to develop petascale computer modeling capabilities
8. IDG's Computerworld Names Progressive Medical to Annual List of Best Places to Work in Information Technology
9. IDGs Computerworld Names WellPoint to Annual List of Best Places to Work in Information Technology
10. Hospital Corporation of America Named to Computerworlds Annual List of Best Places to Work in Information Technology
11. A new computer modeling program can help hospitals prepare for the worst
Post Your Comments:
Related Image:
Computer model shows changes in brain mechanisms for cocaine addicts
(Date:11/27/2015)... ... November 27, 2015 , ... Keeping in mind ... mental health and wellness consultation, has collaborated with a leading web-based marketplace for ... gap experienced by parents and bring advice from parenting experts within their reach. ...
(Date:11/27/2015)... ... November 27, 2015 , ... The ... and prominent nonprofit healthcare organizations in the country. They have overseen financial turnarounds, ... and helped advance the healthcare industry as a whole through their advocacy and ...
(Date:11/27/2015)... California (PRWEB) , ... November 27, 2015 , ... Avid ... Joplin Ann Arbor Michigan boxing style concert posters. This is one of Joplin's most ... the Canterbury House at the University of Michigan in Ann Arbor. The According to ...
(Date:11/26/2015)... ... November 26, 2015 , ... ... located in central Michigan, have come together on Thanksgiving Day to share the ... available for viewing on the Serenity Point YouTube channel, patients displayed what they ...
(Date:11/26/2015)... (PRWEB) , ... November 26, 2015 , ... ... a real-time eReferral system for diagnostic imaging in the Waterloo region. Using the ... and Nuclear Medicine tests directly from their electronic medical record (EMR) without the ...
Breaking Medicine News(10 mins):
(Date:11/26/2015)... , November 26, 2015 ... potential to use SyMRI to find optimal contrast weighting of ... tumor metastases, and has signed a research agreement with SyntheticMR ... the hospital. Using SyMRI, it is possible to generate multiple ... settings after the patient has left, thus making it possible ...
(Date:11/26/2015)... 2015 ... the  "2016 Future Horizons and Growth ... Testing Market: Supplier Shares, Competitive Intelligence, ... --> ) has ... Future Horizons and Growth Strategies in ...
(Date:11/26/2015)... , November 26, 2015 /PRNewswire/ ... --> adds "Global ... and "Investigation Report on China Repaglinide ... 2021 forecasts data and information to ... . --> ...
Breaking Medicine Technology: