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首页> 外文会议>International symposium on medical information processing and analysis >Variable Clustering Reveals Associations between Subcortical Brain Volume and Cognitive Changes in Pediatric Traumatic Brain Injury
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Variable Clustering Reveals Associations between Subcortical Brain Volume and Cognitive Changes in Pediatric Traumatic Brain Injury

机译：变量聚类揭示了皮层下脑容量与小儿颅脑损伤认知变化之间的关联

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Outcomes after traumatic brain injury (TBI) are variable and only partially predicted by acute injury factors. With rich datasets, we can examine how numerous factors - cognitive scores, acute injury variables, demographic variables, and brain imaging variables - are interrelated and aid in outcome prediction. To help study this rich data, we applied CorEx, a novel method for unsupervised machine learning. CorEx decodes the hierarchical structure, identifying latent causes of dependence in the data. It groups predictor variables based on their joint information and inter-dependence. We examined 21 TBI patients 2-5 months post-injury along with healthy controls; both groups were assessed again 12 months later. Although we were limited in the number of participants, this tool for exploratory analysis found potential relationships between change in cognitive scores over the 12-month period and baseline brain volumes. Certain regional brain volumes measured post-injury could serve as predictors of patient recovery. As future planned analyses will examine greater sample sizes, we hope to perform follow-up statistical analysis of variables identified by CorEx in independent data.
机译：外伤性脑损伤（TBI）后的结果是可变的，只有部分由急性损伤因素预测。借助丰富的数据集，我们可以检查认知因子，急性损伤变量，人口统计学变量和脑成像变量等众多因素之间的相互关系，并有助于结果的预测。为了帮助研究这些丰富的数据，我们应用了CorEx，一种用于无监督机器学习的新颖方法。 CorEx对层次结构进行解码，识别出数据依赖的潜在原因。它基于联合变量信息和相互依赖性对预测变量进行分组。我们检查了21位TBI患者在受伤后2-5个月以及健康对照;两组均在12个月后再次评估。尽管我们的参与者数量有限，但是这种用于探索性分析的工具发现，在12个月的时间内认知得分的变化与脑部基线容量之间存在潜在的关系。损伤后测得的某些区域脑容量可作为患者康复的预测指标。随着将来计划进行的分析将检查更大的样本量，我们希望对CorEx在独立数据中识别出的变量进行后续统计分析。

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