1. The Impact of Covert Lacunar Infarcts and White Matter Hyperintensities on Cognitive and Motor Outcomes After Stroke
- Author
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Jennifer K. Ferris, Sandra E. Black, Angela M. Auriat, Joel Ramirez, Lara A. Boyd, Sue Peters, and Claudia Jacova
- Subjects
Male ,medicine.medical_specialty ,Motor Activity ,Neuropsychological Tests ,03 medical and health sciences ,0302 clinical medicine ,Cognition ,Neuroimaging ,Leukoencephalopathies ,Memory ,Internal medicine ,medicine ,Humans ,cardiovascular diseases ,Chronic stroke ,Aged ,business.industry ,Rehabilitation ,Neuropsychology ,Stroke Rehabilitation ,Recovery of Function ,Middle Aged ,Magnetic Resonance Imaging ,White Matter ,Hyperintensity ,Lacunar Infarcts ,Cross-Sectional Studies ,Treatment Outcome ,Covert ,Correlation analysis ,Stroke, Lacunar ,Cardiology ,Surgery ,Female ,Neurology (clinical) ,Cardiology and Cardiovascular Medicine ,business ,030217 neurology & neurosurgery - Abstract
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 (r2 = 0.28, P = .004). Motor impairment and function were most strongly predicted by the volume of stroke and NAWM (r2 = 0.36; P = .001), and dWMH (r2 = 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.
- Published
- 2018