Hinson Holly E, Puybasset Louis, Weiss Nicolas, Perlbarg Vincent, Benali Habib, Galanaud Damien, Lasarev Mike, Stevens Robert D
Department of Neurology and Emergency Medicine, Oregon Health & Science University , Portland, OR , USA .
Brain Inj. 2015;29(4):455-61. doi: 10.3109/02699052.2014.995229. Epub 2015 Jan 7.
Paroxysmal sympathetic hyperactivity (PSH) is observed in a sub-set of patients with moderate-to-severe traumatic brain injury (TBI). The neuroanatomical basis of PSH is poorly understood. It is hypothesized that PSH is linked to changes in connectivity within the central autonomic network.
Retrospective analysis in a sub-set of patients from a multi-centre, prospective cohort study Methods and procedures: Adult patients who were <3 weeks after severe TBI were enrolled and screened for PSH using a standard definition. Patients underwent multimodal MRI, which included quantitative diffusion tensor imaging.
Principal component analysis (PCA) was used to resolve the set of tracts into components. Ability to predict PSH was evaluated via area under the receiver operating characteristic (AUROC) and tree-based classification analyses. Among 102 enrolled patients, 16 met criteria for PSH. The first principle component was significantly associated (p = 0.024, AUROC = 0.867) with PSH status even after controlling for age and admission GCS. In a classification tree analysis, age, GCS and decreased FA in the splenium of the corpus callosum and in the right posterior limb of the internal capsule discriminated PSH vs no PSH with an AUROC of 0.933.
Disconnection involving the posterior corpus callosum and of the posterior limb of the internal capsule may play a role in the pathogenesis or expression of PSH.
在中度至重度创伤性脑损伤(TBI)患者的一个亚组中观察到阵发性交感神经过度兴奋(PSH)。PSH的神经解剖学基础了解甚少。据推测,PSH与中枢自主神经网络内连接性的变化有关。
对一项多中心前瞻性队列研究中的部分患者进行回顾性分析。方法和程序:纳入重度TBI后<3周的成年患者,并使用标准定义对PSH进行筛查。患者接受了多模态MRI检查,包括定量扩散张量成像。
使用主成分分析(PCA)将一组束状结构分解为多个成分。通过受试者工作特征曲线下面积(AUROC)和基于树的分类分析来评估预测PSH的能力。在102名纳入的患者中,16名符合PSH标准。即使在控制了年龄和入院时的格拉斯哥昏迷量表(GCS)后,第一主成分仍与PSH状态显著相关(p = 0.024,AUROC = )。在分类树分析中,年龄、GCS以及胼胝体压部和右侧内囊后肢的分数各向异性(FA)降低可区分PSH与非PSH,AUROC为0.933。
涉及胼胝体后部和内囊后肢的连接中断可能在PSH的发病机制或表现中起作用。