Brain controllability and morphometry similarity of internet gaming addiction
Copyright © 2020 Elsevier Inc. All rights reserved..
Internet gaming addiction (IGD) is a common disease in teenagers which usually reflects the abnormalities in brain function or structure. Several computational models have been applied to investigate the characteristic of IGD brain networks, for instance, the conception of brain controllability. The primary objective of this study was to explore the relationship between brain controllability and IGD related clinical behaviour. A sample of 101 subjects, including 49 IGD patients and 52 normal controls, were recruited to undergo MR T1 and DTI scanning. Specifically, the MR images were used to generate the white matter connectivity matrix and the morphometry similarity network. The morphometry similarity network was then divided into several communities using modular decomposition. After, average controllability, modal controllability and synchronizability were calculated through measuring the adjacency matrix. The results indicated that the IGD group had greater synchronizability and modal controllability compared to that of the control group, and different morphological-based brain communities had different controllability properties. Furthermore, the addiction demonstrated the mediating effects between nodal or modular brain controllability as well as anxiety. In conclusion, brain controllability could be a potential biomarker of IGD.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:192 |
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| Enthalten in: |
Methods (San Diego, Calif.) - 192(2021) vom: 15. Aug., Seite 93-102 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Wei, Lei [VerfasserIn] |
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| Links: |
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| Themen: |
Anxiety |
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| Anmerkungen: |
Date Completed 21.12.2022 Date Revised 21.12.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.ymeth.2020.08.005 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM313660220 |
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| 245 | 1 | 0 | |a Brain controllability and morphometry similarity of internet gaming addiction |
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| 500 | |a Date Completed 21.12.2022 | ||
| 500 | |a Date Revised 21.12.2022 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2020 Elsevier Inc. All rights reserved. | ||
| 520 | |a Internet gaming addiction (IGD) is a common disease in teenagers which usually reflects the abnormalities in brain function or structure. Several computational models have been applied to investigate the characteristic of IGD brain networks, for instance, the conception of brain controllability. The primary objective of this study was to explore the relationship between brain controllability and IGD related clinical behaviour. A sample of 101 subjects, including 49 IGD patients and 52 normal controls, were recruited to undergo MR T1 and DTI scanning. Specifically, the MR images were used to generate the white matter connectivity matrix and the morphometry similarity network. The morphometry similarity network was then divided into several communities using modular decomposition. After, average controllability, modal controllability and synchronizability were calculated through measuring the adjacency matrix. The results indicated that the IGD group had greater synchronizability and modal controllability compared to that of the control group, and different morphological-based brain communities had different controllability properties. Furthermore, the addiction demonstrated the mediating effects between nodal or modular brain controllability as well as anxiety. In conclusion, brain controllability could be a potential biomarker of IGD | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Anxiety | |
| 650 | 4 | |a Brain controllability | |
| 650 | 4 | |a Internet gaming addiction | |
| 650 | 4 | |a Morphometry | |
| 650 | 4 | |a Similarity network | |
| 650 | 4 | |a Synchronizability | |
| 700 | 1 | |a Han, Xu |e verfasserin |4 aut | |
| 700 | 1 | |a Yu, Xuchen |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Yawen |e verfasserin |4 aut | |
| 700 | 1 | |a Ding, Ming |e verfasserin |4 aut | |
| 700 | 1 | |a Du, Yasong |e verfasserin |4 aut | |
| 700 | 1 | |a Jiang, Wenqing |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, Yan |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, He |e verfasserin |4 aut | |
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