Preliminary structural MRI based brain classification of chronic pelvic pain: A MAPP network study.
Preliminary structural MRI based brain classification of chronic pelvic pain: A MAPP network study.
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DOI：
10.1016/j.pain.2014.09.002
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发表时间：
2014-12
期刊：
影响因子：
7.4
通讯作者：
Mackey S
中科院分区：
文献类型：
--
作者：
Bagarinao E;Johnson KA;Martucci KT;Ichesco E;Farmer MA;Labus J;Ness TJ;Harris R;Deutsch G;Apkarian VA;Mayer EA;Clauw DJ;Mackey S
神经影像学研究表明，大脑形态的变化往往伴随着慢性疼痛。然而，对慢性盆腔疼痛（CPP）敏感和特异的脑生物标志物尚未得到充分鉴定。使用来自trans-MAPP研究网络的数据，我们研究了与CPP相关的脑形态学变化。我们使用多变量模式分类方法来检测这些变化，并确定可用于区分CPP参与者与年龄匹配的健康对照的模式。特别是，我们使用了线性支持向量机（SVM）算法区分两组的灰度图像。正SVM权重的区域包括初级体感皮层、前补充运动区、海马和杏仁核内的几个区域，被确定为分类的重要驱动因素，总体准确率为73%。因此，我们已经确定了一个初步的分类器的基础上，大脑结构，能够预测CPP的存在具有良好的预测能力。我们的区域研究结果表明，在个人与CPP，更大的灰质密度可能会发现在已确定的分布的大脑区域，这是一致的内脏疼痛综合征的一些以前的调查。未来的研究需要改进我们确定的初步分类器，整合其他变量，并评估观察到的大脑结构差异是否是CPP独有的或可推广到其他慢性疼痛疾病。
Neuroimaging studies have shown that changes in brain morphology often accompany chronic pain conditions. However, brain biomarkers that are sensitive and specific to chronic pelvic pain (CPP) have not yet been adequately identified. Using data from the Trans-MAPP Research Network, we examined the changes in brain morphology associated with CPP. We used a multivariate pattern classification approach to detect these changes and to identify patterns that could be used to distinguish participants with CPP from age-matched healthy controls. In particular, we used a linear support vector machine (SVM) algorithm to differentiate gray matter images from the two groups. Regions of positive SVM weight included several regions within the primary somatosensory cortex, pre-supplementary motor area, hippocampus, and amygdala were identified as important drivers of the classification with 73% overall accuracy. Thus, we have identified a preliminary classifier based on brain structure that is able to predict the presence of CPP with a good degree of predictive power. Our regional findings suggest that in individuals with CPP, greater gray matter density may be found in the identified distributed brain regions, which are consistent with some previous investigations in visceral pain syndromes. Future studies are needed to improve upon our identified preliminary classifier with integration of additional variables and to assess whether the observed differences in brain structure are unique to CPP or generalizable to other chronic pain conditions.