Wang Lei, Ma Qing, Sun Xiaoyi, Xu Zhilei, Zhang Jiaying, Liao Xuhong, Wang Xiaoqin, Wei Dongtao, Chen Yuan, Liu Bangshan, Huang Chu-Chung, Zheng Yanting, Wu Yankun, Chen Taolin, Cheng Yuqi, Xu Xiufeng, Gong Qiyong, Si Tianmei, Qiu Shijun, Lin Ching-Po, Cheng Jingliang, Tang Yanqing, Wang Fei, Qiu Jiang, Xie Peng, Li Lingjiang, He Yong, Xia Mingrui, Zhang Yihe
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China; MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
J Affect Disord. 2023 May 1;328:47-57. doi: 10.1016/j.jad.2023.01.104. Epub 2023 Feb 11.
Functional connectome studies have revealed widespread connectivity alterations in major depressive disorder (MDD). However, the low frequency bandpass filtering (0.01-0.08 Hz or 0.01-0.1 Hz) in most studies have impeded our understanding on whether and how these alterations are affected by frequency of interest.
Here, we performed frequency-resolved (0.01-0.06 Hz, 0.06-0.16 Hz and 0.16-0.24 Hz) connectome analyses using a large-sample resting-state functional MRI dataset of 1002 MDD patients and 924 healthy controls from seven independent centers.
We reported significant frequency-dependent connectome alterations in MDD in left inferior parietal, inferior temporal, precentral, and fusiform cortices and bilateral precuneus. These frequency-dependent connectome alterations are mainly derived by abnormalities of medium- and long-distance connections and are brain network-dependent. Moreover, the connectome alteration of left precuneus in high frequency band (0.16-0.24 Hz) is significantly associated with illness duration.
Multisite harmonization model only removed linear site effects. Neurobiological underpinning of alterations in higher frequency (0.16-0.24 Hz) should be further examined by combining fMRI data with respiration, heartbeat and blood flow recordings in future studies.
These results highlight the frequency-dependency of connectome alterations in MDD and the benefit of examining connectome alteration in MDD under a wider frequency band.
功能连接组研究揭示了重度抑郁症(MDD)中广泛存在的连接性改变。然而,大多数研究中的低频带通滤波(0.01 - 0.08Hz或0.01 - 0.1Hz)阻碍了我们对这些改变是否以及如何受到感兴趣频率影响的理解。
在此,我们使用来自七个独立中心的1002例MDD患者和924例健康对照的大样本静息态功能磁共振成像数据集进行了频率分辨(0.01 - 0.06Hz、0.06 - 0.16Hz和0.16 - 0.24Hz)连接组分析。
我们报告了MDD患者在左侧顶下叶、颞下回、中央前回和梭状回皮质以及双侧楔前叶存在显著的频率依赖性连接组改变。这些频率依赖性连接组改变主要源于中长距离连接的异常,并且依赖于脑网络。此外,高频带(0.16 - 0.24Hz)下左侧楔前叶的连接组改变与病程显著相关。
多站点协调模型仅消除了线性站点效应。未来研究应通过将功能磁共振成像数据与呼吸、心跳和血流记录相结合,进一步研究高频(0.16 - 0.24Hz)改变的神经生物学基础。
这些结果突出了MDD中连接组改变的频率依赖性以及在更宽频带下检查MDD连接组改变的益处。