NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Department of Psychology, University of Oslo, Oslo, Norway.
Brain Behav. 2022 Aug;12(8):e2707. doi: 10.1002/brb3.2707. Epub 2022 Jul 21.
Sequalae following stroke represents a significant challenge in current rehabilitation. The location and size of focal lesions are only moderately predictive of the diverse cognitive outcome after stroke. One explanation building on recent work on brain networks proposes that the cognitive consequences of focal lesions are caused by damages to anatomically distributed brain networks supporting cognition rather than specific lesion locations.
To investigate the association between poststroke structural disconnectivity and cognitive performance, we estimated individual level whole-brain disconnectivity probability maps based on lesion maps from 102 stroke patients using normative data from healthy controls. Cognitive performance was assessed in the whole sample using Montreal Cognitive Assessment, and a more comprehensive computerized test protocol was performed on a subset (n = 82).
Multivariate analysis using Partial Least Squares on the disconnectome maps revealed that higher disconnectivity in right insular and frontal operculum, superior temporal gyrus and putamen was associated with poorer MoCA performance, indicating that lesions in regions connected with these brain regions are more likely to cause cognitive impairment. Furthermore, our results indicated that disconnectivity within these clusters was associated with poorer performance across multiple cognitive domains.
These findings demonstrate that the extent and distribution of structural disconnectivity following stroke are sensitive to cognitive deficits and may provide important clinical information predicting poststroke cognitive sequalae.
中风后的后遗症是当前康复治疗的一大挑战。病灶的位置和大小只能在一定程度上预测中风后认知结果的多样性。基于最近对脑网络的研究,有一种解释认为,局灶性病变对认知的影响是由支持认知的解剖分布的脑网络的损伤引起的,而不是特定的病变部位。
为了研究中风后结构失连接与认知表现之间的关系,我们使用来自 102 名中风患者的病灶图和来自健康对照者的正常数据,估计了个体水平的全脑失连接概率图。在全样本中使用蒙特利尔认知评估(MoCA)评估认知表现,对亚组(n=82)进行了更全面的计算机测试。
使用偏最小二乘法(PLS)对连接组图谱进行的多变量分析表明,右侧脑岛和额盖、颞上回和壳核的失连接程度越高,MoCA 表现越差,表明与这些脑区相连的区域的病变更有可能导致认知障碍。此外,我们的结果表明,这些簇内的失连接与多个认知领域的较差表现相关。
这些发现表明,中风后结构失连接的程度和分布与认知缺陷有关,可能为预测中风后认知后遗症提供重要的临床信息。