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脑卒中后认知表现的神经影像学决定因素。

Neuroimaging Determinants of Poststroke Cognitive Performance.

机构信息

From the Department of Neurology and Laboratory of Functional Neurosciences (L.P., M.B., M.R., S.C., C.L., A.A., C.L., O.G.), Amiens University Medical Center, France.

Department of Neurology, Sainte-Anne Hospital, INSERM 894, DHU NeuroVasc Sorbonne Paris-Cité, Paris Descartes University, France (J.-L.M.).

出版信息

Stroke. 2018 Nov;49(11):2666-2673. doi: 10.1161/STROKEAHA.118.021981.

Abstract

Background and Purpose- We aimed to define the neuroimaging determinants of poststroke cognitive performance and their relative contributions among a spectrum of magnetic resonance imaging markers, including lesion burden and strategic locations. Methods- We prospectively included patients with stroke from the GRECogVASC study (Groupe de Réflexion pour l'Évaluation Cognitive Vasculaire) who underwent 3-T magnetic resonance imaging and a comprehensive standardized battery of neuropsychological tests 6 months after the index event. An optimized global cognitive score and neuroimaging markers, including stroke characteristics, cerebral atrophy markers, and small vessel diseases markers, were assessed. Location of strategic strokes was determined using a specifically designed method taking into account stroke size and cerebral atrophy. A stepwise multivariable linear regression model was used to identify magnetic resonance imaging determinants of cognitive performance. Results- Data were available for 356 patients (mean age: 63.67±10.6 years; 326 [91.6%] of the patients had experienced an ischemic stroke). Six months poststroke, 50.8% of patients presented with a neurocognitive disorder. Strategic strokes (right corticospinal tract, left antero-middle thalamus, left arcuate fasciculus, left middle frontal gyrus, and left postero-inferior cerebellum; R=0.225; P=0.0001), medial temporal lobe atrophy ( R=0.077; P=0.0001), total brain tissue volume ( R=0.028; P=0.004), and stroke volume ( R=0.013; P=0.005) were independent determinants of cognitive performance. Strategic strokes accounted for the largest proportion of the variance in the cognitive score (22.5%). The white matter hyperintensity burden, brain microbleeds, and dilated perivascular spaces were not independent determinants. Conclusions- Optimized global cognitive score and combined approach of both quantitative measures related to structure loss and qualitative measures related to the presence of strategic lesion are required to improve the determination of structure-function relationship of cognitive performance after stroke.

摘要

背景与目的- 我们旨在确定中风后认知表现的神经影像学决定因素及其在一系列磁共振成像标志物(包括病变负担和战略位置)中的相对贡献。方法- 我们前瞻性地纳入了来自 GRECogVASC 研究(血管性认知评估研究小组)的中风患者,这些患者在指数事件后 6 个月接受了 3-T 磁共振成像和全面的标准化神经心理学测试。评估了优化的总体认知评分和神经影像学标志物,包括中风特征、脑萎缩标志物和小血管疾病标志物。使用专门设计的方法确定战略中风的位置,该方法考虑了中风大小和脑萎缩。使用逐步多变量线性回归模型确定认知表现的磁共振成像决定因素。结果- 共有 356 名患者(平均年龄:63.67±10.6 岁;326 [91.6%] 名患者发生缺血性中风)的数据可用。中风后 6 个月,50.8%的患者出现神经认知障碍。战略性中风(右侧皮质脊髓束、左侧前中丘脑、左侧弓状束、左侧额中回和左侧后下小脑;R=0.225;P=0.0001)、内侧颞叶萎缩( R=0.077;P=0.0001)、总脑组织量( R=0.028;P=0.004)和中风量( R=0.013;P=0.005)是认知表现的独立决定因素。战略性中风占认知评分变化的最大比例(22.5%)。白质高信号负荷、脑微出血和扩张的血管周围间隙不是独立的决定因素。结论- 需要优化的总体认知评分和结合定量测量(与结构丢失相关)和定性测量(与战略病变的存在相关)来提高中风后认知表现的结构-功能关系的确定。

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