Orthostatic tremor (OT) is an extremely rare, misdiagnosed, and underdiagnosed disorder affecting adults in midlife. There is debate as to whether it is a different condition or a variant of essential tremor (ET), or even, if both conditions coexist. Our objective was to use data mining classification methods, using magnetic resonance imaging (MRI)‐derived brain volume and cortical thickness data, to identify morphometric measures that help to discriminate OT patients from those with ET.

中文翻译：

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一种基于MRI得出的大脑体积和皮层厚度的直立性震颤和原发性震颤分类的数据挖掘方法。

体位性震颤（OT）是一种极为罕见，被误诊且诊断不足的疾病，会影响中年成年人。关于这是一种不同的疾病还是原发性震颤（ET）的变种，甚至两种情况并存，人们之间存在争议。我们的目标是使用数据挖掘分类方法，使用磁共振成像（MRI）得出的脑容量和皮层厚度数据，以识别有助于区分OT患者与ET患者的形态计量学指标。