PDF(Pubmed)
Abstract：
UNASSIGNED: Convergent evidence has demonstrated a shared rich-club reorganization across multiple major psychiatric conditions. However, previous studies assessing altered functional couplings between rich-club regions have typically focused on the mean time series from entire functional magnetic resonance imaging (fMRI) scanning session, neglecting their time-varying properties.
UNASSIGNED: In this study, we aim to explore the common and/or unique alterations in the temporal variability of rich-club organization among schizophrenia (SZ), bipolar disorder (BD), and attention deficit/hyperactivity disorder (ADHD). We employed a temporal rich-club (TRC) approach to quantitatively assess the propensity of well-connected nodes to form simultaneous and stable structures in a temporal network derived from resting-state fMRI data of 156 patients with major psychiatric disorders (SZ/BD/ADHD = 71/45/40) and 172 healthy controls. We executed the TRC workflow at both whole-brain and subnetwork scales across varying network sparsity, sliding window strategies, lengths and steps of sliding windows, and durations of TRC coefficients.
UNASSIGNED: The SZ and BD groups displayed significantly decreased TRC coefficients compared to corresponding HC groups at the whole-brain scale and in most subnetworks. In contrast, the ADHD group exhibited reduced TRC coefficients in longer durations, as opposed to shorter durations, which markedly differs from the SZ and BD groups. These findings reveal both transdiagnostic and illness-specific patterns in temporal variability of rich-club organization across SZ, BD, and ADHD.
UNASSIGNED: TRC may serve as an effective metric for detecting brain network disruptions in particular states, offering novel insights and potential biomarkers into the neurobiological basis underpinning the behavioral and cognitive deficits observed in these disorders.
UNASSIGNED: In this study, we aim to explore the common and/or unique alterations in the temporal variability of rich-club organization among schizophrenia (SZ), bipolar disorder (BD), and attention deficit/hyperactivity disorder (ADHD). We employed a temporal rich-club (TRC) approach to quantitatively assess the propensity of well-connected nodes to form simultaneous and stable structures in a temporal network derived from resting-state fMRI data of 156 patients with major psychiatric disorders (SZ/BD/ADHD = 71/45/40) and 172 healthy controls. We executed the TRC workflow at both whole-brain and subnetwork scales across varying network sparsity, sliding window strategies, lengths and steps of sliding windows, and durations of TRC coefficients.
UNASSIGNED: The SZ and BD groups displayed significantly decreased TRC coefficients compared to corresponding HC groups at the whole-brain scale and in most subnetworks. In contrast, the ADHD group exhibited reduced TRC coefficients in longer durations, as opposed to shorter durations, which markedly differs from the SZ and BD groups. These findings reveal both transdiagnostic and illness-specific patterns in temporal variability of rich-club organization across SZ, BD, and ADHD.
UNASSIGNED: TRC may serve as an effective metric for detecting brain network disruptions in particular states, offering novel insights and potential biomarkers into the neurobiological basis underpinning the behavioral and cognitive deficits observed in these disorders.
摘要：
■汇聚的证据表明，在多种主要的精神病患者中存在共同的富人俱乐部重组。然而,以前评估富球杆区域之间功能耦合改变的研究通常集中在整个功能磁共振成像（fMRI）扫描会话的平均时间序列上，忽略了它们的时变特性。
■在这项研究中，我们旨在探索精神分裂症（SZ）中丰富俱乐部组织的时间变异性的常见和/或独特改变，双相情感障碍（BD），注意缺陷/多动障碍（ADHD）。我们采用了一种时间丰富的俱乐部（TRC）方法来定量评估连接良好的节点在时间网络中形成同时和稳定的结构的倾向，该时间网络来自156例主要精神疾病患者（SZ/BD/ADHD=71/45/40）和172例健康对照。我们在不同的网络稀疏度上，在全脑和子网络尺度上执行了TRC工作流程，滑动窗口策略，滑动窗口的长度和步骤，和TRC系数的持续时间。
■在全脑规模和大多数子网络中，与相应的HC组相比，SZ和BD组的TRC系数显着降低。相比之下,多动症组在更长的持续时间内表现出降低的TRC系数，与较短的持续时间相反，与SZ和BD组明显不同。这些发现揭示了深圳丰富俱乐部组织的时间变异性的转化诊断和疾病特异性模式，BD,和ADHD。
■TRC可以作为检测特定状态下大脑网络中断的有效指标，提供新的见解和潜在的生物标志物，以支持在这些疾病中观察到的行为和认知缺陷的神经生物学基础。
■在这项研究中，我们旨在探索精神分裂症（SZ）中丰富俱乐部组织的时间变异性的常见和/或独特改变，双相情感障碍（BD），注意缺陷/多动障碍（ADHD）。我们采用了一种时间丰富的俱乐部（TRC）方法来定量评估连接良好的节点在时间网络中形成同时和稳定的结构的倾向，该时间网络来自156例主要精神疾病患者（SZ/BD/ADHD=71/45/40）和172例健康对照。我们在不同的网络稀疏度上，在全脑和子网络尺度上执行了TRC工作流程，滑动窗口策略，滑动窗口的长度和步骤，和TRC系数的持续时间。
■在全脑规模和大多数子网络中，与相应的HC组相比，SZ和BD组的TRC系数显着降低。相比之下,多动症组在更长的持续时间内表现出降低的TRC系数，与较短的持续时间相反，与SZ和BD组明显不同。这些发现揭示了深圳丰富俱乐部组织的时间变异性的转化诊断和疾病特异性模式，BD,和ADHD。
■TRC可以作为检测特定状态下大脑网络中断的有效指标，提供新的见解和潜在的生物标志物，以支持在这些疾病中观察到的行为和认知缺陷的神经生物学基础。
