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• W4311488587 startingPage "111381" @default.
• W4311488587 abstract "Measuring the phase synchronization between different brain regions in functional brain networks is a common approach to investigate many psychological disorders such as Attention Deficit Hyperactivity Disorder (ADHD). The emotional processing deficit in ADHD children is one of the main obstacles in their social interactions. In this study, the nonlinear Correlation between Probability of Recurrences (CPR) method is used for the first time to construct functional brain networks of 22 boys with ADHD and 22 healthy ones during watching four visual-emotional stimuli types. Topological features of brain networks, including shortest path length, clustering coefficient, and nodes strengths, are investigated in groups of ADHD and healthy. The results indicate a significantly (P-Values < 0.01) greater average clustering coefficient and lower shortest path length in the brain networks of ADHD individuals than the healthy ones. Accordingly, in the ADHD brain networks, the information exchange in both local and global scales is abnormally more than the healthy ones, leading to a hyper-synchronization in this group. The topological alterations of ADHD brain networks are mainly observed in the brain's frontal and occipital lobes, indicating impaired brain function of this group in emotional and visual processing. This survey demonstrates that the CPR method can be a good candidate for distinguishing the phase interactions of ADHD and healthy brain networks. Therefore, this study can contribute to further insights into the nonlinear dynamics analysis of brain networks in ADHD individuals." @default.
• W4311488587 created "2022-12-26" @default.
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• W4311488587 date "2023-03-01" @default.
• W4311488587 modified "2023-09-26" @default.
• W4311488587 title "Investigation of phase synchronization in functional brain networks of children with ADHD using nonlinear recurrence measure" @default.
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• W4311488587 doi "https://doi.org/10.1016/j.jtbi.2022.111381" @default.
• W4311488587 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36528091" @default.
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