使用深度与浅层学习模型基于顶点级脑沟深度、曲率和厚度对重度抑郁症进行分类
定量方法
2025-01-27 v2 机器学习
神经元与认知
摘要
重度抑郁症（MDD）是一种复杂的精神障碍，影响全球数亿人的生活。即便至今日，研究者仍争论脑形态学改变是否与 MDD 相关，这很可能源于该疾病的异质性。将能够捕捉复杂非线性模式的深度学习工具应用于神经影像数据，有潜力为 MDD 提供诊断与预测生物标志物。然而，先前基于线性机器学习方法、通过分割皮层特征来区分 MDD 患者与健康对照（HC）的尝试所报告的准确率较低。此处，我们使用了来自 ENIGMA-MDD 工作组的全球代表性数据，包含来自 30 个站点的 7,012 名参与者（N=2,772 MDD 和 N=4,240 HC），从而可进行具有可推广结果的综合分析。基于顶点级皮层特征整合可提升分类性能的假设，我们评估了 DenseNet 与支持向量机（SVM）的分类表现，预期前者优于后者。我们发现，在未见站点上估计时，两种分类器均接近随机水平（平衡准确率 DenseNet：51%；SVM：53%）。当交叉验证折包含来自所有站点的受试者时，分类性能略高（平衡准确率 DenseNet：58%；SVM：55%），表明存在站点效应。总之，顶点级形态测量特征的整合与非线性分类器的使用并未导致 MDD 与 HC 的可区分性。我们的结果支持如下观点：基于此类特征与分类器的组合进行 MDD 分类是不可行的。或许对多模态信息更精细的整合可在此诊断任务中带来更高性能。
引用
@article{arxiv.2311.11046,
title = {Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning Model},
author = {Roberto Goya-Maldonado and Tracy Erwin-Grabner and Ling-Li Zeng and Christopher R. K. Ching and Andre Aleman and Alyssa R. Amod and Zeynep Basgoze and Francesco Benedetti and Bianca Besteher and Katharina Brosch and Robin Bülow and Romain Colle and Colm G. Connolly and Emmanuelle Corruble and Baptiste Couvy-Duchesne and Kathryn Cullen and Udo Dannlowski and Christopher G. Davey and Annemiek Dols and Jan Ernsting and Jennifer W. Evans and Lukas Fisch and Paola Fuentes-Claramonte and Ali Saffet Gonul and Ian H. Gotlib and Hans J. Grabe and Nynke A. Groenewold and Dominik Grotegerd and Tim Hahn and J. Paul Hamilton and Laura K. M. Han and Ben J. Harrison and Tiffany C. Ho and Neda Jahanshad and Alec J. Jamieson and Andriana Karuk and Tilo Kircher and Bonnie Klimes-Dougan and Sheri-Michelle Koopowitz and Thomas Lancaster and Ramona Leenings and Meng Li and David E. J. Linden and Frank P. MacMaster and David M. A. Mehler and Susanne Meinert and Elisa Melloni and Bryon A. Mueller and Benson Mwangi and Igor Nenadić and Amar Ojha and Yasumasa Okamoto and Mardien L. Oudega and Brenda W. J. H. Penninx and Sara Poletti and Edith Pomarol-Clotet and Maria J. Portella and Elena Pozzi and Joaquim Radua and Elena Rodríguez-Cano and Matthew D. Sacchet and Raymond Salvador and Anouk Schrantee and Kang Sim and Jair C. Soares and Aleix Solanes and Dan J. Stein and Frederike Stein and Aleks Stolicyn and Sophia I. Thomopoulos and Yara J. Toenders and Aslihan Uyar-Demir and Eduard Vieta and Yolanda Vives-Gilabert and Henry Völzke and Martin Walter and Heather C. Whalley and Sarah Whittle and Nils Winter and Katharina Wittfeld and Margaret J. Wright and Mon-Ju Wu and Tony T. Yang and Carlos Zarate and Dick J. Veltman and Lianne Schmaal and Paul M. Thompson},
journal= {arXiv preprint arXiv:2311.11046},
year = {2025}
}
备注
arXiv admin note: text overlap with arXiv:2206.08122