School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China; Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen 518060, China; Marshall Laboratory of Biomedical Engineering, Shenzhen 518060, China.
Department for Bipolar Disorders, Shenzhen Mental Health Centre, Shenzhen Key Lab for Psychological Healthcare, Shenzhen 518020, China.
J Affect Disord. 2021 Jun 15;289:7-15. doi: 10.1016/j.jad.2021.04.005. Epub 2021 Apr 20.
Dynamic functional connectivity (dFC) based on resting-state fMRI has attracted interest in the field of bipolar disorder (BD), because dFC can better capture the evolving processes of emotion and cognition, which are typically impaired in BD. However, previous dFC studies of BD have typically focused on specific seed brain regions or specific functional brain networks, and they have ignored global dynamic information interaction in the whole brain. This study is aimed to reveal aberrant and interpretable whole-brain dFC patterns of BD.
The resting-state fMRI data collected from 35 euthymic BD patients and 30 healthy people. We developed a new dFC inference pipeline, including the sliding-window method, k-means clustering, a new permutation with zero-inflated Poisson regression method, and a similarity analysis for interpretable states, to examine the different patterns of dFC states between BD patients and healthy participants.
BD patients had significantly more frequent transitions between two specific dFC states, which were respectively close to high-level cognitive networks and low-level sensory networks, than healthy controls (p < 0.05, FDR).
The size of samples and other BD types need to be expanded to validate the results of this study. Possible confounding effect of medication.
This study detected aberrant dFC pattern of BD, which indicated the increased lability of the processes of cognition and emotion in BD, and this finding could improve our understanding of the neuropathological mechanism of BD.
基于静息态 fMRI 的动态功能连接（dFC）引起了双相障碍（BD）领域的关注，因为 dFC 可以更好地捕捉情绪和认知的变化过程，而这些过程在 BD 中通常受到损害。然而，之前的 BD 基于 dFC 的研究通常集中在特定的种子脑区或特定的功能脑网络上，而忽略了整个大脑的全局动态信息交互。本研究旨在揭示 BD 的异常和可解释的全脑 dFC 模式。
本研究从 35 名病情稳定的 BD 患者和 30 名健康人采集了静息态 fMRI 数据。我们开发了一种新的 dFC 推断管道，包括滑动窗口方法、k-means 聚类、具有零膨胀泊松回归方法的新置换以及用于可解释状态的相似性分析，以检查 BD 患者和健康参与者之间的 dFC 状态的不同模式。
BD 患者在两个特定的 dFC 状态之间的转换频率明显更高，这两个状态分别接近高级认知网络和低级感觉网络（p < 0.05，FDR）。
需要扩大样本量和其他 BD 类型，以验证本研究的结果。可能存在药物的混杂影响。
本研究检测到 BD 的异常 dFC 模式，表明 BD 患者认知和情绪过程的不稳定性增加，这一发现可以提高我们对 BD 神经病理学机制的理解。
