2017
DOI: 10.1177/0271678x17728162
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Strategic infarct location for post-stroke cognitive impairment: A multivariate lesion-symptom mapping study

Abstract: Lesion location is an important determinant for post-stroke cognitive impairment. Although several 'strategic' brain regions have previously been identified, a comprehensive map of strategic brain regions for post-stroke cognitive impairment is lacking due to limitations in sample size and methodology. We aimed to determine strategic brain regions for post-stroke cognitive impairment by applying multivariate lesion-symptom mapping in a large cohort of 410 acute ischemic stroke patients. Montreal Cognitive Asse… Show more

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Cited by 160 publications
(132 citation statements)
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“…Furthermore, the general strategic distribution patterns of multiple SVD imaging features identified in our study are in line with the studies where only one type of SVD imaging feature was investigated regarding its spatial relationship with poststroke cognitive impairment. Further efforts should aim to include thousands of patients with stroke, as suggested even when AILs are considered alone in a large cohort (with >400 patients),13 to improve the statistical power and generalisability of our findings.…”
Section: Discussionmentioning
confidence: 99%
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“…Furthermore, the general strategic distribution patterns of multiple SVD imaging features identified in our study are in line with the studies where only one type of SVD imaging feature was investigated regarding its spatial relationship with poststroke cognitive impairment. Further efforts should aim to include thousands of patients with stroke, as suggested even when AILs are considered alone in a large cohort (with >400 patients),13 to improve the statistical power and generalisability of our findings.…”
Section: Discussionmentioning
confidence: 99%
“…Specifically, if we define y as the deficits of MoCA scores, then y  = 1 – ( Z – min( Z ))/(max( Z ) – min( Z )), where Z are the MoCA scores (total score and domain scores). This linear transformation helps to get positive predictive weights for the ROI-based lesion features that contribute to MoCA deficits, which is easier for interpretation of the strategic lesion distribution map 13. Here, we used linear kernel rather than non-linear kernel for SVR to retain the ability to plot predictive weights back to brain anatomy 21…”
Section: Methodsmentioning
confidence: 99%
“…For image and lesion data processing, Meta VCI Map promotes the use of the RegLSM image processing pipeline, which was recently developed in a collaborative LSM project between Utrecht and Hong Kong [10]. RegLSM can transform lesion maps to fit onto a standardized brain template.…”
Section: Image Processingmentioning
confidence: 99%
“…Support vector regression (SVR)-based lesion-symptom mapping was performed using a previously published method [10]. Two independent SVR-based analyses were performed: voxel-based LSM (SVR-LSM) and region of interest-based analyses (SVR-ROI).…”
Section: Statistical Analysesmentioning
confidence: 99%
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