Abnormal and Changing Information Interaction in Adults with Attention-Deficit/Hyperactivity Disorder Based on Network Motifs
Network motif analysis approaches provide insights into the complexity of the brain’s functional network. In recent years, attention-deficit/hyperactivity disorder (ADHD) has been reported to result in abnormal information interactions in macro- and micro-scale functional networks. However, most exi...
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MDPI AG
2023-09-01
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Online Access: | https://www.mdpi.com/2076-3425/13/9/1331 |
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author | Xubin Wu Yuxiang Guo Jiayue Xue Yanqing Dong Yumeng Sun Bin Wang Jie Xiang Yi Liu |
author_facet | Xubin Wu Yuxiang Guo Jiayue Xue Yanqing Dong Yumeng Sun Bin Wang Jie Xiang Yi Liu |
author_sort | Xubin Wu |
collection | DOAJ |
description | Network motif analysis approaches provide insights into the complexity of the brain’s functional network. In recent years, attention-deficit/hyperactivity disorder (ADHD) has been reported to result in abnormal information interactions in macro- and micro-scale functional networks. However, most existing studies remain limited due to potentially ignoring meso-scale topology information. To address this gap, we aimed to investigate functional motif patterns in ADHD to unravel the underlying information flow and analyze motif-based node roles to characterize the different information interaction methods for identifying the abnormal and changing lesion sites of ADHD. The results showed that the interaction functions of the right hippocampus and the right amygdala were significantly increased, which could lead patients to develop mood disorders. The information interaction of the bilateral thalamus changed, influencing and modifying behavioral results. Notably, the capability of receiving information in the left inferior temporal and the right lingual gyrus decreased, which may cause difficulties for patients in processing visual information in a timely manner, resulting in inattention. This study revealed abnormal and changing information interactions based on network motifs, providing important evidence for understanding information interactions at the meso-scale level in ADHD patients. |
first_indexed | 2024-03-10T22:58:02Z |
format | Article |
id | doaj.art-25444a1c3fff495e91997eb0561b0742 |
institution | Directory Open Access Journal |
issn | 2076-3425 |
language | English |
last_indexed | 2024-03-10T22:58:02Z |
publishDate | 2023-09-01 |
publisher | MDPI AG |
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series | Brain Sciences |
spelling | doaj.art-25444a1c3fff495e91997eb0561b07422023-11-19T09:49:25ZengMDPI AGBrain Sciences2076-34252023-09-01139133110.3390/brainsci13091331Abnormal and Changing Information Interaction in Adults with Attention-Deficit/Hyperactivity Disorder Based on Network MotifsXubin Wu0Yuxiang Guo1Jiayue Xue2Yanqing Dong3Yumeng Sun4Bin Wang5Jie Xiang6Yi Liu7College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, ChinaSchool of Software, Taiyuan University of Technology, Taiyuan 030024, ChinaCollege of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, ChinaCollege of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, ChinaCollege of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, ChinaCollege of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, ChinaCollege of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, ChinaDepartment of Anesthesiology, Shanxi Province Cancer Hospital, Taiyuan 030013, ChinaNetwork motif analysis approaches provide insights into the complexity of the brain’s functional network. In recent years, attention-deficit/hyperactivity disorder (ADHD) has been reported to result in abnormal information interactions in macro- and micro-scale functional networks. However, most existing studies remain limited due to potentially ignoring meso-scale topology information. To address this gap, we aimed to investigate functional motif patterns in ADHD to unravel the underlying information flow and analyze motif-based node roles to characterize the different information interaction methods for identifying the abnormal and changing lesion sites of ADHD. The results showed that the interaction functions of the right hippocampus and the right amygdala were significantly increased, which could lead patients to develop mood disorders. The information interaction of the bilateral thalamus changed, influencing and modifying behavioral results. Notably, the capability of receiving information in the left inferior temporal and the right lingual gyrus decreased, which may cause difficulties for patients in processing visual information in a timely manner, resulting in inattention. This study revealed abnormal and changing information interactions based on network motifs, providing important evidence for understanding information interactions at the meso-scale level in ADHD patients.https://www.mdpi.com/2076-3425/13/9/1331ADHDbrain effective networknetwork motifsinformation interactionnode rolesabnormal interaction |
spellingShingle | Xubin Wu Yuxiang Guo Jiayue Xue Yanqing Dong Yumeng Sun Bin Wang Jie Xiang Yi Liu Abnormal and Changing Information Interaction in Adults with Attention-Deficit/Hyperactivity Disorder Based on Network Motifs Brain Sciences ADHD brain effective network network motifs information interaction node roles abnormal interaction |
title | Abnormal and Changing Information Interaction in Adults with Attention-Deficit/Hyperactivity Disorder Based on Network Motifs |
title_full | Abnormal and Changing Information Interaction in Adults with Attention-Deficit/Hyperactivity Disorder Based on Network Motifs |
title_fullStr | Abnormal and Changing Information Interaction in Adults with Attention-Deficit/Hyperactivity Disorder Based on Network Motifs |
title_full_unstemmed | Abnormal and Changing Information Interaction in Adults with Attention-Deficit/Hyperactivity Disorder Based on Network Motifs |
title_short | Abnormal and Changing Information Interaction in Adults with Attention-Deficit/Hyperactivity Disorder Based on Network Motifs |
title_sort | abnormal and changing information interaction in adults with attention deficit hyperactivity disorder based on network motifs |
topic | ADHD brain effective network network motifs information interaction node roles abnormal interaction |
url | https://www.mdpi.com/2076-3425/13/9/1331 |
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