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- W4386814324 abstract "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." @default.
- W4386814324 created "2023-09-18" @default.
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- W4386814324 date "2023-09-15" @default.
- W4386814324 modified "2023-10-18" @default.
- W4386814324 title "Abnormal and Changing Information Interaction in Adults with Attention-Deficit/Hyperactivity Disorder Based on Network Motifs" @default.
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- W4386814324 doi "https://doi.org/10.3390/brainsci13091331" @default.
- W4386814324 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37759932" @default.
- W4386814324 hasPublicationYear "2023" @default.
- W4386814324 type Work @default.