The Impact of Covert Lacunar Infarcts and White Matter Hyperintensities on Cognitive and Motor Outcomes After Stroke

被引:22
作者
Auriat, Angela M. [1 ]
Ferris, Jennifer K. [2 ]
Peters, Sue [2 ]
Ramirez, Joel [3 ,4 ]
Black, Sandra E. [3 ,4 ]
Jacova, Claudia [5 ]
Boyd, Lara A. [1 ]
机构
[1] Ottawa Hosp Res Inst, 725 Parkdale Ave, Ottawa, ON K1H 5T4, Canada
[2] Univ British Columbia, Dept Phys Therapy, Vancouver, BC, Canada
[3] Univ Toronto, Sunnybrook HSC, Dept Med Neurol, Toronto, ON, Canada
[4] Sunnybrook Res Inst, Toronto, ON, Canada
[5] Pacific Univ, Forest Grove, OR USA
基金
加拿大健康研究院;
关键词
Cerebral ventricle; cerebral small vessel disease; outcome; magnetic resonance imaging; white matter; upper; limb function and impairment; SMALL VESSEL DISEASE; LEUKOARAIOSIS; ASSOCIATION; BURDEN; VOLUME; AGE;
D O I
10.1016/j.jstrokecerebrovasdis.2018.10.009
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Background and Aims: In addition to overt stroke lesions, co-occurring covert lesions, including white matter hyperintensities (WMH) and covert lacunar infarcts (CLI), contribute to poststroke outcome. The purpose of this study was to examine the relationship between covert lesions, and motor and cognitive outcomes in individuals with chronic stroke. Methods: Volumetric quantification of clinically overt strokes, covert lesions (periventricular and deep: pWMH, dWMH, pCLI, dCLI), ventricular and sulcal CSF (vCSF, sCSF), and normal appearing white (NAWM) and gray matter (NAGM) was performed using structural magnetic resonance imaging. We assessed motor impairment and function, and global cognition, memory, and other cognitive domains. When correlation analysis identified more than one MR parameter relating to stroke outcomes, we used regression modeling to identify which factor had the strongest impact. Results: Neuropsychological and brain imaging data were collected from 30 participants at least 6 months following a clinically diagnosed stroke. Memory performance related to vCSF (r = -0.52, P = .004). The strongest predictor of nonmemory domains was pCLI (r(2) = 0.28, P = .004). Motor impairment and function were most strongly predicted by the volume of stroke and NAWM (r(2) = 0.36; P = .001), and dWMH (r(2) = 0.39; P = .001) respectively. Conclusions: Covert lesion type and location have important consequences for post-stroke cognitive and motor outcome. Limiting the progression of covert lesions in aging populations may enhance the degree of recovery post-stroke.
引用
收藏
页码:381 / 388
页数:8
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