基于内在功能连接推定抑郁症脑网络效率的改变
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北京工业大学信息学部,北京工业大学信息学部,北京工业大学未来网络科技高精尖创新中心,北京工业大学信息学部,北京工业大学信息学部,北京工业大学信息学部

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国家重点基础研究发展计划资助(2014CB744600), 国家自然科学基金资助项目(61420106005, 61272345), 磁共振成像脑信息学北京市重点实验室资助(2014CGZC03), 北京市自然科学基金(4164080)和国家国际科技合作专项资助(2013DFA32180)


The Changes of Brain Network Efficiency in Patients With Major Depressive Disorder Estimated by Intrinsic Functional Connectivity
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Faculty of Information Technology,Beijing University of Technology,Faculty of Information Technology, Beijing University of Technology,Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology,Faculty of Information Technology,Beijing University of Technology,Faculty of Information Technology,Beijing University of Technology,Faculty of Information Technology,Beijing University of Technology

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This work was supported by grants from The National Basic Research Program of China (2014CB744600), The National Natural Science Foundation of China (61420106005, 61272345), Open Research Fund of Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics (2014CGZC03), Beijing Municipal Natural Science Foundation (4164080), and International Science & Technology Cooperation Program of China (2013DFA32180)

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    摘要:

    本文研究了在保留最大化内在功能连接条件下抑郁症患者脑网络效率的改变,并探索了改变的拓扑效率和抑郁症病理学之间的关系.为此,我们收集了20例抑郁症患者和20例在年龄、性别和教育水平相匹配的健康被试的静息态功能磁共振图像数据.图论分析显示,与健康对照组比较,抑郁症患者的节点效率减少在左海马旁回、右杏仁核,左颞横回和左颞极(颞中回)减少.减少的节点效率表明,在抑郁症患者脑网络中这些区域传送信息到其他区域的能力减弱.此外,发现局部效率降低在左内侧额上回、左眶部额上回、右回直肌、左杏仁核、右顶上回、左丘脑和左颞极(颞中回).并且发现左内侧额上回、左杏仁核、左丘脑与PHQ-9得分呈负相关.降低的局部效率表明抑郁症患者脑网络中这些区域的局部网络信息传送能力受到抑制.这些结果进一步确认在抑郁症患者中涉及情感信息处理的前额-丘脑-边缘区域被破坏.我们的发现为抑郁症病人的辅助诊断提供了新的潜在生物学标记物.

    Abstract:

    This study focused on the changes of network topological efficiency under the condition of maximizing the intrinsic functional connectivity, and explored the relationships between altered topological efficiency and depressive psychopathology. For this purpose, we collected the resting-state functional MRI data from 20 major depressive disorder (MDD) patients and 20 healthy control (HC) individuals with matching of age, gender and education level. Graph theory analysis showed that the patients with MDD exhibited significantly reduced nodal efficiency in the left parahippocampal gyrus, right amygdala, left heschl and left temporal pole (middle temporal gyrus) compared with the HC group. The reduced nodal efficiency indicated that the function of transmitting information to other regions was weakened in MDD patients. The local efficiency of the left medial superior frontal gyrus, left orbital superior frontal gyrus, right rectus, left amygdala, right superior parietal gyrus, left thalamus, and left temporal pole (middle temporal gyrus) were also significantly reduced. And the local efficiency of the left medial superior frontal gyrus, left amygdala, left thalamus had negative correlation with PHQ-9. The reduced local efficiency implied that the ability of information transmission at the local level was damaged in the depressed brain network. These results suggested that the prefrontal-thalamo-limbic system involving affective processing was damaged in MDD patients. Our findings might provide a potential biomarker for the clinical diagnosis of depressed patients.

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李淮周,周海燕,杨阳,杨孝敬,王海渊,钟宁.基于内在功能连接推定抑郁症脑网络效率的改变[J].生物化学与生物物理进展,2018,45(1):43-50

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历史
  • 收稿日期:2017-05-01
  • 最后修改日期:2017-08-22
  • 接受日期:2017-08-30
  • 在线发布日期: 2018-01-16
  • 出版日期: 2018-01-20