Department of Radiology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary.
Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Brain Topogr. 2022 Mar;35(2):268-275. doi: 10.1007/s10548-021-00881-x. Epub 2021 Nov 22.
Laterality patterns of resting state networks (RSN) change in various neuropsychiatric conditions. Multiple sclerosis (MS) causes neuro-cognitive symptoms involving dysfunctional large-scale brain networks. Yet, whether healthy laterality patterns of RSNs are maintained in MS and whether altered laterality patterns explain disease symptoms has not been explicitly investigated. We analysed functional MRI and diffusion tensor imaging data from 24 relapsing-remitting MS patients and 25 healthy participants. We performed group-level independent component analysis and used dual regression to estimate individual versions of well-established RSNs. Voxelwise laterality indices were calculated for each RSN. Group differences were assessed via a general linear model-based approach. The relationship between functional laterality and white matter microstructural asymmetry was assessed using Tract-Based Spatial Statistics. Spearman's correlation was calculated between laterality indices and Brief International Cognitive Assessment for Multiple Sclerosis scores. Functional laterality of the dorsal attention network showed a significant leftward shift in the MS group in the posterior intraparietal sulcus (p < 0.033). Default-mode network laterality showed a significant leftward shift in the MS group in the angular gyrus (p < 0.005). Diminished dorsal attention network laterality was associated with increased fractional anisotropy asymmetry in the superior longitudinal fasciculus (p < 0.02). In the default-mode network, leftward laterality of the angular gyrus was associated with higher BVMT-R scores (R = - 0.52, p < 0.023). Our results confirm previous descriptions of RSN dysfunction in relapsing-remitting MS and show that altered functional connectivity lateralisation patterns of RSNs might contibute to cognitive performance and structural remodellation even in patients with mild clinical symptoms.
静息态网络（RSN）的偏侧性模式在各种神经精神疾病中发生改变。多发性硬化症（MS）导致涉及功能失调的大脑网络的神经认知症状。然而，MS 患者的 RSN 是否保持健康的偏侧性模式，以及改变的偏侧性模式是否解释疾病症状，尚未得到明确研究。我们分析了 24 例复发缓解型 MS 患者和 25 例健康对照者的功能磁共振成像和弥散张量成像数据。我们进行了组水平独立成分分析，并使用双回归来估计既定 RSN 的个体版本。为每个 RSN 计算了体素的偏侧性指数。通过基于一般线性模型的方法评估组间差异。使用基于束流空间统计学的方法评估功能偏侧性与白质微观结构不对称性之间的关系。计算偏侧性指数与多发性硬化症简明国际认知评估量表得分之间的 Spearman 相关性。在 MS 组中，后顶内沟的背侧注意网络的功能偏侧性显示出显著的左侧移位（p < 0.033）。在 MS 组中，角回的默认模式网络偏侧性显示出显著的左侧移位（p < 0.005）。背侧注意网络偏侧性降低与上纵束的分数各向异性不对称性增加相关（p < 0.02）。在默认模式网络中，角回的左侧偏侧性与 BVMT-R 得分较高相关（R = -0.52，p < 0.023）。我们的结果证实了复发缓解型 MS 中 RSN 功能障碍的先前描述，并表明 RSN 功能连接偏侧性模式的改变可能会影响认知表现和结构重塑，即使在临床症状较轻的患者中也是如此。
