用于轻度认知障碍诊断的群体相似约束功能脑网络建模方法

李伟凯; 高欣; 纪同俭; 王政霞

doi:10.11959/j.issn.2096-6652.201922

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用于轻度认知障碍诊断的群体相似约束功能脑网络建模方法

常规论文 | 更新时间：2024-06-05

- 用于轻度认知障碍诊断的群体相似约束功能脑网络建模方法
- Method of functional brain network modeling with group similarity constraint for mild cognitive impairment classification
- 智能科学与技术学报 2019年1卷第2期页码：145-153
- 作者机构：
  
  1. 南京航空航天大学计算机科学与技术学院，江苏南京 210016
  2. 上海全景医学影像诊断中心，上海 200233
  3. 山东莒县妇幼保健医院，山东日照 276500
- 作者简介：
  
  [ "李伟凯（1994- ），男，山东日照人，南京航空航天大学在读博士生，主要研究方向为医学图像处理、脑网络构建与分析。" ]
  [ "高欣（1975- ），男，北京人，博士，副主任医师，上海市医学会结核病学专科分会委员、上海市中西医结合学会影像医学分会委员，主要研究方向为胸腹部肿瘤综合影像诊断、中枢神经系统磁共振诊断。" ]
  [ "纪同俭（1972- ），男，山东日照人，主治医师，现任莒县妇幼保健计划生育服务中心理事长、莒县医学会秘书长、日照市医师协会理事，主要研究方向为普外科。" ]
  [ "王政霞（1977- ），女，山东日照人，博士，重庆交通大学教授、硕士生导师，主要研究方向为机器学习、图像处理及医学影像诊断。" ]
- 基金信息：
  
  重庆市教委科技研究基金资助项目;Scientific and Technological Research Program of Chongqing Municipal Education Commission(KJQN201800716);重庆市教委科技研究基金资助项目;Scientific and Technological Research Program of Chongqing Municipal Education Commission(KJ175492);重庆市科委自然科学基金资助项目;Natural Science Foundation Project of CQCSTC(2018jcyjAX0398);上海市卫计委科研课题基金资助项目;Scientific Research Project of Shanghai Municipal Planning Commission of Health and Family Planing(201740010)
- DOI：10.11959/j.issn.2096-6652.201922
  中图分类号： TP311.134.3
- 网络出版日期：2019-06，
  
  纸质出版日期：2019-06-20
- 稿件说明：
移动端阅览
李伟凯, 高欣, 纪同俭, 等. 用于轻度认知障碍诊断的群体相似约束功能脑网络建模方法[J]. 智能科学与技术学报, 2019,1(2):145-153.

Weikai LI, Xin GAO, Tongjian JI, et al. Method of functional brain network modeling with group similarity constraint for mild cognitive impairment classification[J]. Chinese journal of intelligent science and technology, 2019, 1(2): 145-153.
李伟凯, 高欣, 纪同俭, 等. 用于轻度认知障碍诊断的群体相似约束功能脑网络建模方法[J]. 智能科学与技术学报, 2019,1(2):145-153. DOI： 10.11959/j.issn.2096-6652.201922.

Weikai LI, Xin GAO, Tongjian JI, et al. Method of functional brain network modeling with group similarity constraint for mild cognitive impairment classification[J]. Chinese journal of intelligent science and technology, 2019, 1(2): 145-153. DOI： 10.11959/j.issn.2096-6652.201922.

摘要

功能脑网络为理解大脑功能激活模式及大脑信息传递结构提供了一种有效的生物标记，如何更加有效地利用先验信息构建准确的脑网络模型尤为重要。提出了一种基于群体相似性约束的功能脑网络模型，通过引入张量低秩约束，利用张量的核范数，求解一个在组内具有低秩先验的脑网络组。这种方法利用组内的相似性约束，收缩脑网络的解空间，从而有效地构建更优的脑网络模型。将所构建的脑网络用于轻度认知障碍的判别任务，实验结果表明，所提出的基于群体相似性约束的脑网络建模方法，能够构建出更具判别性的脑网络，并得到了与以往研究一致的显著性连边，进一步验证了所提出方法的有效性。

Abstract

Functional brain network provides an effective biomarker for understanding brain activation patterns

the development of neurodegenerative diseases

and the structure of brain signaling.How to use priori information to build accurate brain network is particularly important in subsequent applications.A functional brain network construction model based on group similarity constraints was proposed.By introducing a tensor low rank constraint and using the nuclear norm of the tensor

a brain network group with a low rank prior in the group was solved.The group similarity constraints to shrink the solution space of the brain network was used

thus constructing a better functional brain network effectively.For evaluating the performance of the proposed method

the constructed brain network was adopted for the discriminative task of mild cognitive impairment.The experimental results show that the proposed functional brain network modeling method based on group similarity constraints can construct more discriminative brain network.In addition

based on the brain network constructed by the proposed method

the significant connections consistent with previous studies are obtained

and the effectiveness of the proposed method is further verified.

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references

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