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Aust N Z J Psychiatry. 2015 Oct;49(10):923-32. doi: 10.1177/0004867415598009. Epub 2015 Aug 3.

Neural substrates of risky decision making in individuals with Internet addiction.

Author information

1
Department of Psychology, Chungnam National University, Daejeon, South Korea.
2
Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
3
Department of Social Welfare, Cheongju University, Cheongju, South Korea.
4
Department of Psychology, Chungnam National University, Daejeon, South Korea jhsohn@cnu.ac.kr.

Abstract

OBJECTIVE:

With the wide and rapid expansion of computers and smartphones, Internet use has become an essential part of life and an important tool that serves various purposes. Despite the advantages of Internet use, psychological and behavioral problems, including Internet addiction, have been reported. In response to growing concern, researchers have focused on the characteristics of Internet addicts. However, relatively little is known about the behavioral and neural mechanisms that underlie Internet addiction, especially with respect to risky decision making, which is an important domain frequently reported in other types of addictions.

METHOD:

To examine the neural characteristics of decision making in Internet addicts, Internet addicts and healthy controls were scanned while they performed a financial decision-making task.

RESULTS:

Relative to healthy controls, Internet addicts showed (1) more frequent risky decision making; (2) greater activation in the dorsal anterior cingulate cortex and the left caudate nucleus, which are brain regions involved in conflict monitoring and reward, respectively; and (3) less activation in the ventrolateral prefrontal cortex, an area associated with cognitive control/regulation.

CONCLUSION:

These findings suggest that risky decision making may be an important behavioral characteristic of Internet addiction and that altered brain function in regions associated with conflict monitoring, reward and cognitive control/regulation might be critical biological risk factors for Internet addiction.

KEYWORDS:

Internet addiction; cognitive control; conflict monitoring; reward; risky decision making

PMID:
26238384
DOI:
10.1177/0004867415598009
[Indexed for MEDLINE]

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