Title |
Altered Brain Activity during Reward Anticipation in Pathological Gambling and Obsessive-Compulsive Disorder
|
---|---|
Published in |
PLOS ONE, September 2012
|
DOI | 10.1371/journal.pone.0045938 |
Pubmed ID | |
Authors |
Jung-Seok Choi, Young-Chul Shin, Wi Hoon Jung, Joon Hwan Jang, Do-Hyung Kang, Chi-Hoon Choi, Sam-Wook Choi, Jun-Young Lee, Jae Yeon Hwang, Jun Soo Kwon |
Abstract |
Pathological gambling (PG) and obsessive-compulsive disorder (OCD) are conceptualized as a behavioral addiction, with a dependency on repetitive gambling behavior and rewarding effects following compulsive behavior, respectively. However, no neuroimaging studies to date have examined reward circuitry during the anticipation phase of reward in PG compared with in OCD while considering repetitive gambling and compulsion as addictive behaviors. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
Egypt | 2 | 40% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 40% |
Members of the public | 2 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 1% |
United Kingdom | 1 | <1% |
Netherlands | 1 | <1% |
Argentina | 1 | <1% |
Unknown | 177 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 40 | 22% |
Student > Master | 26 | 14% |
Student > Bachelor | 24 | 13% |
Researcher | 18 | 10% |
Student > Postgraduate | 13 | 7% |
Other | 28 | 15% |
Unknown | 33 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 57 | 31% |
Medicine and Dentistry | 33 | 18% |
Neuroscience | 18 | 10% |
Agricultural and Biological Sciences | 13 | 7% |
Computer Science | 4 | 2% |
Other | 14 | 8% |
Unknown | 43 | 24% |