UPM Institutional Repository

Systematic review of the utility of functional MRI to investigate internet addiction disorder: recent updates on resting state and task-based fMRI


Citation

Sharifat, Hamed and Abdul Rashid, Aida and Suppiah, Subapriya (2018) Systematic review of the utility of functional MRI to investigate internet addiction disorder: recent updates on resting state and task-based fMRI. Malaysian Journal of Medicine and Health Sciences, 14 (1). pp. 21-33. ISSN 1675-8544

Abstract

Introduction: Internet addiction disorder (IAD) particularly the internet gaming disorder (IGD) is recognized as a type of addiction similar to substance abuse. This addiction carries similar social impact as the latter, as it can cause serious impairment of interpersonal relationship, and even deterioration of academic or occupational performances. Functional magnetic resonance imaging (fMRI) is able to act as a non-invasive objective biomarker to detect functional neuronal connectivity in areas of the brain affected by IAD by utilizing blood oxygenation level dependent (BOLD) imaging. Methods: A systematic review was conducted from original articles published from January 2014 to January 2017 that had the keywords “internet addiction” and fMRI. Results: Initial data collection had 170 articles, however after applying the inclusion and exclusion criteria, there were 34 articles in the final analysis (17 resting-state fMRI studies and 18 task-based fMRI studies). The striatal nucleus and dopaminergic system demonstrated impaired functioning in subjects with IAD. Conclusion: Task-based and resting-state fMRI are able to detect areas of the brain that are activated in subjects with internet addiction, similar to those observed in subjects with substance abuse and other addictions. This review also introduces a newly arising subtype which is smartphone addiction disorder.


Download File

[img]
Preview
Text
2018031608380404_MJMHS_Vol14_No1_Jan2018_0080_-_2nd_proof.pdf

Download (283kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Centre For Diagnostic Nuclear Imaging
Faculty of Medicine and Health Science
Publisher: Faculty of Medicine and Health Sciences, Universiti Putra Malaysia
Keywords: Seed-based; Task-based; fMRI; Independent component analysis; Functional connectivity
Depositing User: Nabilah Mustapa
Date Deposited: 19 Mar 2018 03:13
Last Modified: 19 Mar 2018 03:13
URI: http://psasir.upm.edu.my/id/eprint/59693
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item