Abnormal Functional Connectivity in Cognitive Control Network, Default Mode Network, and Visual Attention Network in Internet Addiction: A Resting-State fMRI Study
Internet addiction (IA) has become a global mental and social problem, which may lead to a series of psychiatric symptoms including uncontrolled use of internet, and lack of concentration. However, the exact pathophysiology of IA remains unclear. Most of functional connectivity studies were based on...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2019-09-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fneur.2019.01006/full |
| _version_ | 1819114368243073024 |
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| author | Yang Wang Yang Wang Yun Qin Hui Li Dezhong Yao Bo Sun Zhiliang Li Xin Li Yu Dai Chao Wen Lingrui Zhang Chenchen Zhang Tianmin Zhu Cheng Luo |
| author_facet | Yang Wang Yang Wang Yun Qin Hui Li Dezhong Yao Bo Sun Zhiliang Li Xin Li Yu Dai Chao Wen Lingrui Zhang Chenchen Zhang Tianmin Zhu Cheng Luo |
| author_sort | Yang Wang |
| collection | DOAJ |
| description | Internet addiction (IA) has become a global mental and social problem, which may lead to a series of psychiatric symptoms including uncontrolled use of internet, and lack of concentration. However, the exact pathophysiology of IA remains unclear. Most of functional connectivity studies were based on pre-selected regions of interest (ROI), which could not provide a comprehensive picture of the communication abnormalities in IA, and might lead to limited or bias observations. Using local functional connectivity density (lFCD), this study aimed to explore the whole-brain abnormalities of functional connectivity in IA. We evaluated the whole-brain lFCD resulting from resting-state fMRI data in 28 IA individuals and 30 demographically matched healthy control subjects (HCs). The correlations between clinical characteristics and aberrant lFCD were also assessed. Compared with HCs, subjects with IA exhibited heightened lFCD values in the right dorsolateral prefrontal cortex (DLPFC), left parahippocampal gyrus (PHG), and cerebellum, and the bilateral middle cingulate cortex (MCC) and superior temporal pole (STP), as well as decreased lFCD values in the right inferior parietal lobe (IPL), and bilateral calcarine and lingual gyrus. Voxel-based correlation analysis revealed the significant correlations between the Young's Internet Addiction Test (IAT) score and altered lFCD values in the left PHG and bilateral STP. These findings revealed the hyper-connectivity in cognitive control network and default mode network as well as the hypo-connectivity in visual attention network, verifying the common mechanism in IA and substance addiction, and the underlying association between IA, and attention deficit/hyperactivity disorder in terms of neurobiology. |
| first_indexed | 2024-12-22T04:44:11Z |
| format | Article |
| id | doaj.art-06726c828f6241828d3073ade907ef70 |
| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-12-22T04:44:11Z |
| publishDate | 2019-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj.art-06726c828f6241828d3073ade907ef702022-12-21T18:38:39ZengFrontiers Media S.A.Frontiers in Neurology1664-22952019-09-011010.3389/fneur.2019.01006468466Abnormal Functional Connectivity in Cognitive Control Network, Default Mode Network, and Visual Attention Network in Internet Addiction: A Resting-State fMRI StudyYang Wang0Yang Wang1Yun Qin2Hui Li3Dezhong Yao4Bo Sun5Zhiliang Li6Xin Li7Yu Dai8Chao Wen9Lingrui Zhang10Chenchen Zhang11Tianmin Zhu12Cheng Luo13School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaDepartment of Rehabilitation, Shuangliu Maternal and Child Health Care Hospital, Chengdu, ChinaKey Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Medicine, Chengdu University, Chengdu, ChinaKey Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaKey Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaKey Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaKey Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaDepartment of Rehabilitation, Zigong Fifth People's Hospital, Zigong, ChinaSchool of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaSchool of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaSchool of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaKey Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaInternet addiction (IA) has become a global mental and social problem, which may lead to a series of psychiatric symptoms including uncontrolled use of internet, and lack of concentration. However, the exact pathophysiology of IA remains unclear. Most of functional connectivity studies were based on pre-selected regions of interest (ROI), which could not provide a comprehensive picture of the communication abnormalities in IA, and might lead to limited or bias observations. Using local functional connectivity density (lFCD), this study aimed to explore the whole-brain abnormalities of functional connectivity in IA. We evaluated the whole-brain lFCD resulting from resting-state fMRI data in 28 IA individuals and 30 demographically matched healthy control subjects (HCs). The correlations between clinical characteristics and aberrant lFCD were also assessed. Compared with HCs, subjects with IA exhibited heightened lFCD values in the right dorsolateral prefrontal cortex (DLPFC), left parahippocampal gyrus (PHG), and cerebellum, and the bilateral middle cingulate cortex (MCC) and superior temporal pole (STP), as well as decreased lFCD values in the right inferior parietal lobe (IPL), and bilateral calcarine and lingual gyrus. Voxel-based correlation analysis revealed the significant correlations between the Young's Internet Addiction Test (IAT) score and altered lFCD values in the left PHG and bilateral STP. These findings revealed the hyper-connectivity in cognitive control network and default mode network as well as the hypo-connectivity in visual attention network, verifying the common mechanism in IA and substance addiction, and the underlying association between IA, and attention deficit/hyperactivity disorder in terms of neurobiology.https://www.frontiersin.org/article/10.3389/fneur.2019.01006/fullinternet addictioncognitive control networkdefault mode networkvisual attention networkfunctional connectivity densitysubstance addiction |
| spellingShingle | Yang Wang Yang Wang Yun Qin Hui Li Dezhong Yao Bo Sun Zhiliang Li Xin Li Yu Dai Chao Wen Lingrui Zhang Chenchen Zhang Tianmin Zhu Cheng Luo Abnormal Functional Connectivity in Cognitive Control Network, Default Mode Network, and Visual Attention Network in Internet Addiction: A Resting-State fMRI Study Frontiers in Neurology internet addiction cognitive control network default mode network visual attention network functional connectivity density substance addiction |
| title | Abnormal Functional Connectivity in Cognitive Control Network, Default Mode Network, and Visual Attention Network in Internet Addiction: A Resting-State fMRI Study |
| title_full | Abnormal Functional Connectivity in Cognitive Control Network, Default Mode Network, and Visual Attention Network in Internet Addiction: A Resting-State fMRI Study |
| title_fullStr | Abnormal Functional Connectivity in Cognitive Control Network, Default Mode Network, and Visual Attention Network in Internet Addiction: A Resting-State fMRI Study |
| title_full_unstemmed | Abnormal Functional Connectivity in Cognitive Control Network, Default Mode Network, and Visual Attention Network in Internet Addiction: A Resting-State fMRI Study |
| title_short | Abnormal Functional Connectivity in Cognitive Control Network, Default Mode Network, and Visual Attention Network in Internet Addiction: A Resting-State fMRI Study |
| title_sort | abnormal functional connectivity in cognitive control network default mode network and visual attention network in internet addiction a resting state fmri study |
| topic | internet addiction cognitive control network default mode network visual attention network functional connectivity density substance addiction |
| url | https://www.frontiersin.org/article/10.3389/fneur.2019.01006/full |
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