基于多模态影像下的抑郁症大脑异常

doi:10.11959/j.issn.2096-6652.202013

智能科学与技术学报 ›› 2020, Vol. 2 ›› Issue (2): 116-125.doi: 10.11959/j.issn.2096-6652.202013

基于多模态影像下的抑郁症大脑异常

李姗¹,李永超¹,邹颖¹,杨琳¹,王茵¹,姚志军¹,胡斌^1,^2,^3,⁴()

¹ 兰州大学信息科学与工程学院甘肃省可穿戴装备重点实验室，甘肃兰州 730000
² 中国科学院脑科学与智能技术卓越创新中心，上海 200031
³ 中国科学院半导体研究所——兰州大学认知神经传感技术联合研究中心，甘肃兰州 730000
⁴ 兰州大学开源软件与实时系统教育部工程中心，甘肃兰州 730000

修回日期:2020-05-06 出版日期:2020-06-20 发布日期:2020-07-14
作者简介:李姗（1997- ），女，兰州大学信息科学与工程学院甘肃省可穿戴装备重点实验室硕士生，主要研究方向为大脑形态学分析、情感计算、机器学习等|李永超（1995- ），女，兰州大学信息科学与工程学院甘肃省可穿戴装备重点实验室硕士生，主要研究方向为功能脑网络分析、抑郁症辅助诊断、机器学习等|邹颖（1994- ），女，兰州大学信息科学与工程学院甘肃省可穿戴装备重点实验室硕士生，主要研究方向为生物医学图像处理、情感计算与机器学习等|杨琳（1998- ），女，兰州大学信息科学与工程学院甘肃省可穿戴装备重点实验室本科生，主要研究方向为功能与功能脑网络分析、机器学习等|王茵（1998- ），女，兰州大学信息科学与工程学院甘肃省可穿戴装备重点实验室本科生，主要研究方向为功能脑网络分析、情感计算、机器学习等|姚志军（1977- ），男，博士，兰州大学信息科学与工程学院甘肃省可穿戴装备重点实验室教授，博士生导师，主要研究方向为生物医学影像数据处理、普适情感计算、计算机应用技术、人工智能、机器学习等|胡斌（1965- ），男，博士，兰州大学信息科学与工程学院甘肃省可穿戴装备重点实验室教授、院长，2011年之前，一直担任瑞士苏黎世联邦理工学院客座教授。主要研究方向为普适计算、心理生理计算、数据建模等
基金资助:
国家重点研发计划基金资助项目(2019YFA0706200);国家自然科学基金资助项目(61632014);国家自然科学基金资助项目(61627808);国家自然科学基金资助项目(61210010);国家重点基础研究发展计划（973计划）基金资助项目(2014CB744600);北京市科技计划项目(Z171100000117005)

Brain abnormalities in depression based on multimodal imaging

Shan LI¹,Yongchao LI¹,Ying ZOU¹,Lin YANG¹,Yin WANG¹,Zhijun YAO¹,Ubin H^1,^2,^3,⁴()

¹ Gansu Provincial Key Laboratory of Wearable Computing,School of Information Science and Engineering,Lanzhou University,Lanzhou 730000,China
² CAS Center for Excellence in Brain Science and Intelligence Technology,Shanghai 200031,China
³ Joint Research Center for Cognitive Neurosensor Technology of Lanzhou University ＆Institute of Semiconductors,Chinese Academy of Sciences,Lanzhou 730000,China
⁴ Engineering Research Center of Open Source Software and Real-Time Systems (Lanzhou University),Ministry of Education,Lanzhou 730000,China

Revised:2020-05-06 Online:2020-06-20 Published:2020-07-14
Supported by:
The National Key Research and Development Program of China(2019YFA0706200);The National Natural Science Foundation of China(61632014);The National Natural Science Foundation of China(61627808);The National Natural Science Foundation of China(61210010);The National Basic Research Program of China (973 Program)(2014CB744600);The Program of Beijing Municipal Science ＆ Technology Commission(Z171100000117005)

摘要/Abstract

摘要：

近年来，结构性磁共振成像（sMRI）和功能性磁共振成像（fMRI）被广泛应用于抑郁症研究。从结构形态学、结构网络、功能网络3个角度探索抑郁症患者的大脑异常，了解其发病机制，辅助医生临床诊断、治疗和预后。目前大量研究发现抑郁症患者的海马体、杏仁核出现不同程度的萎缩，脑网络的连接强度、图论属性等均出现显著异常，且出现异常的脑区对应于人的情绪调节、注意力和认知控制等功能，异常的程度与抑郁的严重程度呈现高度相关性。从不同角度对抑郁症的研究现状进行综述，并对未来的研究提出了建议。

关键词: 抑郁症, 脑网络, 多模态, 磁共振成像

Abstract:

In recent years,structural magnetic resonance imaging (sMRI) and functional magnetic resonance imaging (fMRI) are widely used in depression research.From the perspectives of morphology,structural network and functional network,the brain abnormalities of depression were explored to understand the pathogenesis,and to assist doctors in clinical diagnosis,treatment and prognosis.A large number of researches have found that the hippocampus and amygdala of depression showed different degrees of atrophy,and the connection strength of brain network and graph theory attributes showed significant abnormal.Moreover,the abnormal brain areas were related to emotional regulation,attention and cognitive control,and the degree of abnormalities were highly correlated with the severity of depression.The research actuality of depression from different perspectives was reviewed,and some suggestions for future research were put forward.

Key words: depression, brain network, multimodality, magnetic resonance imaging

中图分类号:

R318

李姗, 李永超, 邹颖, 等. 基于多模态影像下的抑郁症大脑异常[J]. 智能科学与技术学报, 2020, 2(2): 116-125.

Shan LI, Yongchao LI, Ying ZOU, et al. Brain abnormalities in depression based on multimodal imaging[J]. Chinese Journal of Intelligent Science and Technology, 2020, 2(2): 116-125.

图/表 3

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基于多模态影像下的抑郁症大脑异常

Brain abnormalities in depression based on multimodal imaging

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