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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Main Authors: Xubin Wu, Yuxiang Guo, Jiayue Xue, Yanqing Dong, Yumeng Sun, Bin Wang, Jie Xiang, Yi Liu
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Brain Sciences
Subjects:
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.
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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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