基于MRI影像组学和机器学习诊断抑郁症研究进展

Research progresses of radiomics and machine learning based on MRI for diagnosing depressive disorder

抑郁症为常见神经心理疾病,目前尚无客观诊断标准。MRI可提供脑结构、白质纤维束完整性及静息态和任务态下脑功能等多方面信息;MRI影像组学和机器学习(ML)有助于建立个体化诊断抑郁症模型。本文对基于MRI影像组学及ML诊断抑郁症研究进展进行综述。

Depressive disorder is a common neuropsychological disease,but the objective diagnostic criteria mains lack up till now.MRI can provide plenty information of brain structures,white matter fiber bundles as well as resting-state or task-related brain functions,etc.Radiomics and machine learning(ML)based on MRI can help to establish personalized diagnosis models of depression disorder.The research progresses of radiomics and ML based on MRI for diagnosing depressive disorder were reviewed in this article.