Department of Child Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands.
Department of Child Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands; Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands.
Neurosci Biobehav Rev. 2022 Jan;132:211-223. doi: 10.1016/j.neubiorev.2021.11.028. Epub 2021 Nov 20.
Abnormalities of the brain network organization in focal epilepsy have been extensively quantified. However, the extent and directionality of abnormalities are highly variable and subtype insensitive. We conducted meta-analyses to obtain a more accurate and epilepsy type-specific quantification of the interictal global brain network organization in focal epilepsy. By using random-effects models, we estimated differences in average clustering coefficient, average path length, and modularity between patients with focal epilepsy and controls, based on 45 studies with a total sample size of 1,468 patients and 1,021 controls. Structural networks had a significant lower level of integration in patients with epilepsy as compared to controls, with a standardized mean difference of -0.334 (95 % confidence interval -0.631 to -0.038; p-value 0.027). Functional networks did not differ between patients and controls, except for the beta band clustering coefficient. Our meta-analyses show that differences in the brain network organization are not as well defined as individual studies often propose. We discuss potential pitfalls and suggestions to enhance the yield and clinical value of network studies.
大脑网络组织在局灶性癫痫中的异常已经被广泛量化。然而,异常的程度和方向性具有高度的可变性,并且对亚型不敏感。我们进行了荟萃分析,以更准确地量化局灶性癫痫患者发作间期的全局脑网络组织,并使其具有癫痫类型特异性。通过使用随机效应模型,我们根据 45 项研究,对患有局灶性癫痫的患者和对照组之间的平均聚类系数、平均路径长度和模块性进行了估计,这些研究的总样本量为 1468 名患者和 1021 名对照组。与对照组相比,癫痫患者的结构网络的整合水平显著降低,标准化均差为-0.334(95%置信区间-0.631 至-0.038;p 值 0.027)。功能网络在患者和对照组之间没有差异,除了β波段聚类系数。我们的荟萃分析表明,大脑网络组织的差异并不像个别研究经常提出的那样明确。我们讨论了潜在的陷阱和建议,以提高网络研究的效果和临床价值。