School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, 210097, China; Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing, Jiangsu, 210097, China; International Joint Laboratory of Child and Adolescent Psychological Development and Crisis Intervention, Nanjing, Jiangsu, 210097, China.
Mental Health Centre of Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
J Psychiatr Res. 2023 Aug;164:72-79. doi: 10.1016/j.jpsychires.2023.05.084. Epub 2023 Jun 5.
Pediatric bipolar disorder (PBD) is a psychiatric disorder marked by alteration of brain networks. However, the understanding of these alterations in topological organization still unclear. This study aims to leverage the functional connectome gradient to examine changes in functional network hierarchy in PBD.
Connectome gradients were used to scrutinize the differences between functional gradient map in PBD patients (n = 68, aged 11 to 18) and healthy controls (HC, n = 37, aged 11 to 18). The association between regional altered gradient scores and clinical factors was examined. We further used Neurosynth to determine the correlation of the cognitive terms with the PBD principal gradient changes.
Global topographic alterations were exhibited in the connectome gradient in PBD patients, involving gradient variance, explanation ratio, gradient range, and gradient dispersion in the principal gradient. Regionally, PBD patients revealed that the default mode network (DMN) held the most majority of the brain areas with higher gradient scores, whereas a higher proportion of brain regions with lower gradient scores in the sensorimotor network (SMN). These regional gradient differences exhibited significant correlation with clinical features and meta-analysis terms including cognitive behavior and sensory processing.
Functional connectome gradient presents a thorough investigation of large-scale networks hierarchy in PBD patients. This exhibited excessive segregation between DMN and SMN supports the theory of imbalance in top-down control and bottom-up in PBD and provides a possible biomarker for diagnostic assessment.
儿科双相障碍（PBD）是一种以大脑网络改变为特征的精神障碍。然而，人们对这些拓扑组织变化的理解仍不清楚。本研究旨在利用功能连接梯度来检查 PBD 中功能网络层次结构的变化。
使用连接梯度来仔细检查 PBD 患者（n=68，年龄 11 至 18 岁）和健康对照组（HC，n=37，年龄 11 至 18 岁）之间功能梯度图的差异。检查了区域改变的梯度分数与临床因素之间的关联。我们还使用 Neurosynth 来确定认知术语与 PBD 主要梯度变化的相关性。
PBD 患者的连接梯度显示出全局拓扑改变，涉及主梯度中的梯度方差、解释比、梯度范围和梯度分散。在区域上，PBD 患者表现出默认模式网络（DMN）具有最多的大脑区域具有较高的梯度分数，而感觉运动网络（SMN）中具有较低梯度分数的大脑区域比例更高。这些区域梯度差异与临床特征和元分析术语（包括认知行为和感觉处理）显著相关。
功能连接梯度全面研究了 PBD 患者的大规模网络层次结构。DMN 和 SMN 之间过度分离支持了 PBD 中自上而下控制和自下而上失衡的理论，并为诊断评估提供了可能的生物标志物。
