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Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury

机译:结构连通性和皮质表面特征的联合分析:与轻度创伤性脑损伤相关

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Mild traumatic brain injury (mTBI) is a complex syndrome that affects up to 600 per 100,000 individuals, with a particular concentration among military personnel. About half of all mTBI patients experience a diverse array of chronic symptoms which persist long after the acute injury. Hence, there is an urgent need for better understanding of the white matter and gray matter pathologies associated with mTBI to map which specific brain systems are impacted and identify courses of intervention. Previous works have linked mTBI to disruptions in white matter pathways and cortical surface abnormalities. Herein, we examine these hypothesized links in an exploratory study of joint structural connectivity and cortical surface changes associated with mTBI and its chronic symptoms. Briefly, we consider a cohort of 12 mTBI and 26 control subjects. A set of 588 cortical surface metrics and 4,753 structural connectivity metrics were extracted from cortical surface regions and diffusion weighted magnetic resonance imaging in each subject. Principal component analysis (PCA) was used to reduce the dimensionality of each metric set. We then applied independent component analysis (ICA) both to each PCA space individually and together in a joint ICA approach. We identified a stable independent component across the connectivity-only and joint ICAs which presented significant group differences in subject loadings (p<0.05, corrected). Additionally, we found that two mTBI symptoms, slowed thinking and forgetfulness, were significantly correlated (p<0.05, corrected) with mTBI subject loadings in a surface-only ICA. These surface-only loadings captured an increase in bilateral cortical thickness.
机译:轻度创伤性脑损伤(MTBI)是一种复杂的综合征,其每10万人的影响最多600个,具有特殊的军事人员集中。大约一半的MTBI患者在急性损伤后经历了一系列持续的慢性症状。因此,迫切需要更好地理解与MTBI相关的白质和灰质病理到地图地图映射哪些特定的脑系统受到影响并识别干预课程。以前的作品已将MTBI联系起来以中断白质途径和皮质表面异常。在此,我们在与MTBI相关联的关节结构连通性和皮质表面变化的探索性研究中检查这些假设链接及其慢性症状。简而言之,我们考虑12 MTBI和26个对照科目的队列。在每个受试者中,从皮质表面区域和扩散加权磁共振成像中提取了一组588皮质表面度量和4,753个结构连接度量。主要成分分析(PCA)用于降低每个度量集的维度。然后,我们将独立的分量分析(ICA)应用于每个PCA空间,并以联合ICA方法一起进行。我们在连通性和联合ICA识别出一个稳定的独立组件,并在主题载荷中提出了显着的组差异(P <0.05,校正)。此外,我们发现两个MTBI症状,减缓思维和遗忘,具有显着相关的(P <0.05,校正),MTBI对象载荷在仅限于地表ICA中。这些仅限表面的载荷捕获了双侧皮质厚度的增加。

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