Investigation of the Changes in the Power Distribution in Resting-State Brain Networks Associated with Pure Conduct Disorder

Abstract

Conduct disorder (CD) is a psychiatric disorder in children and adolescence. To investigate changes in the power distribution in brain networks between CD and typically developing (TD) groups, resting-state functional magnetic resonance imaging (rsfMRI) data of thirty-six subjects were first recorded, and then the data were preprocessed using DPARSF and SPM8. Meanwhile, the power of the blood oxygenation level-dependent (BOLD) signals of ninety brain regions was acquired using the integral of the Welch power spectral density (PSD). Additionally, the powers of the brain regions that reached significance (p < 0.05) were extracted using the bootstrap statistics, in which the standardized z-scores of the powers were used as a reference. The results of the analysis of the changes in power exhibited that there were significant power differences in some pairs of brain regions between the CD and TD groups, indicating a change in the power distribution. In addition, the results also suggest that the total power consumption of brain networks in CD patients is less than that observed in the TD group. Consequently, the study provided a paradigm for establishing quantifiable indicators via the power spectrum approach for the comparison and analysis of the BOLD signal power between CD patients and healthy controls.

Sex Differences in Spontaneous Brain Activity in Adolescents With Conduct Disorder

“…To our knowledge, no previously published rs-fMRI studies of CD have included female subjects ( Lu et al, 2015 , 2017 ; Zhou et al, 2015 , 2016 ; Pu et al, 2017 ; Wu et al, 2017 ; Zhang et al, 2017 ), let alone explored rs-fMRI gender differences in CD. In this study, we applied ALFF and fALFF to compare spontaneous brain activity between males and females with CD.…”

Multimodal Ensemble Deep Learning to Predict Disruptive Behavior Disorders in Children

“…Similarly, superior longitudinal fasciculus areas were shown to have differences in diffusion measurements that suggested poor maturation of structural connections (Hummer et al, 2015) in children with DBDs. Morphological aberrance of frontoparietal (Zhang et al, 2017;Cao et al, 2018) and temporal gyrus areas can lead to disruptive behavior (Huebner et al, 2008;Hyatt et al, 2012;Fairchild et al, 2015) and most of these regions were found to be class discriminative in this study. Functional connectivity alterations have been reported for children with DBDs, and class discriminative regions found using grad-CAM were consistent with many of the reported regions (Lu et al, 2015;Werhahn et al, 2020).…”