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强迫症中脑结构和功能损害的网络定位

Brain structural and functional impairment network localization in obsessive-compulsive disorder.

作者信息

Tian Ya, Shi Wenqing, Tao Qiuying, Yang Huiting, Guo Huirong, Wen Baohong, Wei Yarui, Chen Huafu, Zhang Yong, Cheng Jingliang, Han Shaoqiang

机构信息

From the Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University (Tian, Shi, Tao, Yang, Wen, Wei, Chen, Zhang, Cheng, Han); the Zhengzhou Key Laboratory (Tian, Shi, Tao, Yang, Wen, Wei, Zhang, Cheng, Han); the Henan Engineering Technology Research Center (Tian, Shi, Tao, Yang, Wen, Wei, Zhang, Cheng, Han); the Henan Engineering Research Center (Tian, Shi, Tao, Yang, Wen, Wei, Zhang, Cheng, Han); the Henan Key Laboratory (Tian, Shi, Tao, Yang, Wen, Wei, Zhang, Cheng, Han); the Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University (Guo); the Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China (Chen).

From the Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University (Tian, Shi, Tao, Yang, Wen, Wei, Chen, Zhang, Cheng, Han); the Zhengzhou Key Laboratory (Tian, Shi, Tao, Yang, Wen, Wei, Zhang, Cheng, Han); the Henan Engineering Technology Research Center (Tian, Shi, Tao, Yang, Wen, Wei, Zhang, Cheng, Han); the Henan Engineering Research Center (Tian, Shi, Tao, Yang, Wen, Wei, Zhang, Cheng, Han); the Henan Key Laboratory (Tian, Shi, Tao, Yang, Wen, Wei, Zhang, Cheng, Han); the Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University (Guo); the Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China (Chen)

出版信息

J Psychiatry Neurosci. 2025 May 21;50(3):E162-E169. doi: 10.1503/jpn.240145. Print 2025 May-Jun.

DOI:10.1503/jpn.240145
PMID:40398927
原文链接:
https://pmc.ncbi.nlm.nih.gov/articles/PMC12114125/
Abstract

BACKGROUND

Numerous neuroimaging studies investigating the neural substrates of obsessive-compulsive disorder (OCD) have yielded inconsistent findings, and growing evidence suggests that psychiatric disorders are more accurately localized to brain networks rather than discrete brain regions. We sought to identify brain network localization in OCD.

METHODS

We initially examined brain locations of structural and functional alterations among patients with OCD and healthy controls using neuroimaging studies. Employing a novel technique called functional connectivity network mapping (FCNM) and large-scale human brain connectome data, we mapped these damaged brain regions to 2 brain impairment networks in OCD.

RESULTS

We included 62 neuroimaging studies involving 2578 patients with OCD and 2502 healthy controls. For FCNM, we used data from 556 healthy adults. Among patients with OCD, the grey matter volume (GMV) and resting-state activity impairment networks encompassed a broad range of brain regions, primarily involving the default mode, sensorimotor, and limbic networks, as well as the bilateral middle frontal gyrus and bilateral middle temporal gyrus. Additionally, the GMV impairment network specifically involved bilateral inferior frontal gyrus.

LIMITATIONS

We used large-scale human brain connectome data from healthy people, rather than the samples clinically and demographically matched to the original study participants, to examine brain networks in OCD.

CONCLUSION

Our study integrated an FCNM method with large-scale human brain connectome data to map heterogeneous abnormal brain locations of OCD to structural and functional impairment networks. Our findings deepen our understanding of the neuropathological mechanisms of OCD from a network perspective and may inform future neuromodulation treatment.

摘要

背景

众多研究强迫症(OCD)神经基础的神经影像学研究结果并不一致,越来越多的证据表明,精神疾病更准确地定位在脑网络而非离散的脑区。我们试图确定强迫症中的脑网络定位。

方法

我们最初使用神经影像学研究检查了强迫症患者和健康对照者结构和功能改变的脑区位置。利用一种称为功能连接网络映射(FCNM)的新技术和大规模人类脑连接组数据,我们将这些受损脑区映射到强迫症的2个脑损伤网络中。

结果

我们纳入了62项神经影像学研究,涉及2578例强迫症患者和2502名健康对照者。对于FCNM,我们使用了556名健康成年人的数据。在强迫症患者中,灰质体积(GMV)和静息态活动损伤网络涵盖了广泛的脑区,主要涉及默认模式、感觉运动和边缘网络,以及双侧额中回和双侧颞中回。此外,GMV损伤网络特别涉及双侧额下回。

局限性

我们使用来自健康人的大规模人类脑连接组数据,而非与原始研究参与者在临床和人口统计学上匹配的样本,来检查强迫症中的脑网络。

结论

我们的研究将FCNM方法与大规模人类脑连接组数据相结合,将强迫症中异质性异常脑区映射到结构和功能损伤网络。我们的发现从网络角度加深了我们对强迫症神经病理机制的理解,并可能为未来的神经调节治疗提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a3f/12114125/31c992701d24/50-3-e162f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a3f/12114125/46aeee4b6b65/50-3-e162f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a3f/12114125/8da62b1b2471/50-3-e162f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a3f/12114125/b92bdea1fcb8/50-3-e162f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a3f/12114125/9f72eefe56ef/50-3-e162f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a3f/12114125/31c992701d24/50-3-e162f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a3f/12114125/46aeee4b6b65/50-3-e162f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a3f/12114125/8da62b1b2471/50-3-e162f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a3f/12114125/b92bdea1fcb8/50-3-e162f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a3f/12114125/9f72eefe56ef/50-3-e162f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a3f/12114125/31c992701d24/50-3-e162f5.jpg

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