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梁军,宋艳新,王曰云,万春晓.多站点自杀倾向抑郁症脑功能网络同质化研究[J].数据采集与处理,2022,37(5):1115-1125
多站点自杀倾向抑郁症脑功能网络同质化研究
Homogenization Study of Brain Network of Suicidal Patients with Major Depressive Disorder from Multiple Imaging Sites
投稿时间:2022-05-17  修订日期:2022-09-08
DOI:10.16337/j.1004-9037.2022.05.016
中文关键词:  重度抑郁症  自杀倾向  静息态功能磁共振成像  多站点同质化  脑网络连接
英文关键词:major depressive disorder(MDD)  suicidal tendencies  resting-state functional magnetic resonance imaging(rfMRI)  multisite homogenization  brain network-level connectivity
基金项目:国家自然科学基金(82101448)。
作者单位邮编
梁军 天津医科大学总医院康复医学科天津 300052 300052
宋艳新 天津天狮学院医学院天津301700 301700
王曰云 天津医科大学总医院康复医学科天津 300052 300052
万春晓 天津医科大学总医院康复医学科天津 300052 300052
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中文摘要:
      目前来自采集中心的具有自杀倾向的重度抑郁症(Major depressive disorder, MDD)患者脑功能影像存在异质性,从而造成的计算瓶颈影响了分析可靠性。为此,本文借助同质化多站点算法,试图扩充MDD患者静息态功能磁共振成像(Resting-state functional magnetic resonance imaging,rfMRI)的样本体量,探究自杀倾向对MDD脑功能网络的影响。实验纳入3个站点、共99例MDD患者(包括非自杀倾向(Non-suicidal MDD,nMDD)67例、自杀倾向(Suicidal MDD,sMDD)32例)及72例健康对照(Healthy controls,HC)组rfMRI数据,计算Pearson相关性的功能连接并由ComBat技术同质化多站点功能连接;以小世界属性为稀疏度判别标准,以功能连接为边建立脑网络并进行图论分析;在节点度、节点效率指标上采用多重比较校正进行组间显著性对比。实验结果表明,同质化有效清除了站点间功能连接异质性。在小脑下半月小叶及蚓锥体,sMDD组较nMDD组和HC组皆具有组间显著性(pFDR<0.05),即存在自杀倾向导致的异常脑功能活动。该研究克服了多站点的MDD患者的小样本缺陷,有效地提取了自杀倾向患者脑功能影像标记,有助于评估自杀风险。
英文摘要:
      Currently, there is heterogeneity in the functional brain images of suicidal patients with major depressive disorder (MDD) from multiple imaging sites, resulting in computational difficulties and affecting the reliability. According to the data from homogenizing multisite resting-state functional magnetic resonance imaging(rfMRI) from patients with MDD, the influence of suicidal tendencies on the MDD brain functional network is studied. Firstly, rfMRI of 99 MDD patients (including 67 non-suicidal MDD(nMDD), 32 suicidal MDD(sMDD)) along with 72 healthy controls(HC) subjects from 3 sites are enrolled. After preprocessing of rfMRI, the functional connectivity of the Pearson correlation is calculated on the whole brain, and multisite functional connectivity is homogenized by ComBat technology. Then, the brain network topology is established and the graph theory analysis is performed by taking the existence of small-world attributes as the criterion for sparsity, the functional connectivity as edges and the brain areas as the nodes. Comparisons of the significance between groups are made on node degrees and node efficiency indicators in the graph theory. Experimental results show that the heterogeneity of functional connectivity in sites is effectively eliminated by the homogenization algorithm.Compared with the nMDD and HC groups,the sMDD group has siginificant between-group difference (pFDF<0.05)in inferior cerebellar lobule and vermis cone. There exist abnormal functional activities in the inferior cerebellar lobules and vermis cones due to the suicidal tendencies. Based on the multisite homogenization of MDD network-level functional connectivity, this study effectively extracts the network characteristic indicators of suicidal patients and provides the functional imaging markers for the suicide risk assessment.
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