摘要：SummaryVisuospatial neglect (VSN) is a neurological syndrome of higher brain functions in which an individual fails to detect stimuli on a space that is contralateral to a hemispheric lesion. We performed a comprehensive multivariate analysis based on the principal component analysis (PCA) and cluster analysis in patients with right hemisphere stroke and then performed a determination of different elements of VSN. PCA-based cluster analysis detected distinct aspects of VSN as follows: cluster 1: low arousal and attention state, cluster 2: exogenous neglect, cluster 3: spatial working memory (SWM) deficit. Lesion analysis revealed neural correlates for each cluster and highlighted “disturbance of the ventral attention network” for the stagnation of exogenous attention and “parietal damage” for SWM deficit. Our results reveal a pathological structure of VSN as multiple components of an attention network deficit, and they contribute to the understanding of the mechanisms underlying VSN.Graphical abstractDisplay OmittedHighlights•This study attempted to establish the pathological structure of visuospatial neglect•PCA revealed four distinct fundamental components underlying visuospatial neglect•GMM-based clustering detected six subtypes of visuospatial attention network deficitMedical Imaging; Behavioral Neuroscience; Systems Neuroscience; Computer Modeling
