论文标题
多元白质改变与癫痫持续时间有关
Multivariate white matter alterations are associated with epilepsy duration
论文作者
论文摘要
先前研究白质改变与颞叶癫痫(TLE)持续时间之间关联的研究显示出不同的结果,并且通常仅限于分离地段的单变量分析。在这项研究中,我们采用多元措施(Mahalanobis距离),以捕获单个患者的不同方式,并将其与癫痫持续时间相关联。 从94名受试者(28个健康对照组,33个左键和33个右键)组成的队列中,扩散MRI用于评估道段分数各向异性(FA)和癫痫持续时间之间的关联。我们使用十个白质区域,使用传统的单变量分析(z得分)和互补的多元方法(马哈拉氏症距离)分析了关联,并将多个白质区域纳入单个统一分析中。 在右键的患者中,FA与任何隔离研究的持续时间均与癫痫持续时间无关。在左倾角患者中,两个边缘区(ipsilfornix,对侧扣带状回)的FA与癫痫持续时间显着负相关(Bonferonni校正后P <0.05)。使用多元方法,我们发现左侧和右键同伴的持续时间显着的同侧正相关(左旋:Spearman的Rho = 0.487,右手:Spearman的Rho = 0.422)。将我们的多元结果推断到持续时间等于零(即在开始时),我们发现患者和对照之间没有显着差异。使用多元方法的关联比单变量方法更强大。 与传统的单变量分析相比,多元距离度量提供了非重叠和更健壮的结果。未来的研究应考虑将这两个框架采用到他们的分析中,以确定对癫痫进展的更完整的理解,而不论侧向性如何。
Previous studies investigating associations between white matter alterations and duration of temporal lobe epilepsy (TLE) have shown differing results, and were typically limited to univariate analyses of tracts in isolation. In this study we apply a multivariate measure (the Mahalanobis distance), to capture the distinct ways white matter may differ in individual patients, and relate this to epilepsy duration. Diffusion MRI, from a cohort of 94 subjects (28 healthy controls, 33 left-TLE and 33 right-TLE), was used to assess associations between tract fractional anisotropy (FA) and epilepsy duration. Using ten white matter tracts, we analysed associations using traditional univariate analyses (z-scores) and a complementary multivariate approach (Mahalanobis distance), incorporating multiple white matter tracts into a single unified analysis. In patients with right-TLE, FA was not significantly associated with epilepsy duration for any tract studied in isolation. In patients with left-TLE, the FA of two limbic tracts (ipsilateral fornix, contralateral cingulum gyrus) was significantly negatively associated with epilepsy duration (Bonferonni corrected p<0.05). Using a multivariate approach we found significant ipsilateral positive associations with duration in both left, and right-TLE cohorts (left-TLE: Spearman's rho=0.487, right-TLE: Spearman's rho=0.422). Extrapolating our multivariate results to duration equals zero (i.e. at onset) we found no significant difference between patients and controls. Associations using the multivariate approach were more robust than univariate methods. The multivariate distance measure provides non-overlapping and more robust results than traditional univariate analyses. Future studies should consider adopting both frameworks into their analysis in order to ascertain a more complete understanding of epilepsy progression, regardless of laterality.