{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wang Y"],"funding":["NICHD NIH HHS"],"pagination":["101981"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6728875"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["24"],"pubmed_abstract":["<h4>Objective</h4>The supply territories of main cerebral arteries are predominantly identified based on distribution of infarct lesions in patients with large arterial occlusion; whereas, there is no consensus atlas regarding the supply territories of smaller end-arteries. In this study, we applied a data-driven approach to construct a stroke atlas of the brain using hierarchical density clustering in large number of infarct lesions, assuming that voxels/regions supplied by a common end-artery tend to infarct together.<h4>Methods</h4>A total of 793 infarct lesions on MRI scans of 458 patients were segmented and coregistered to MNI-152 standard brain space. Applying a voxel-wise data-driven hierarchical density clustering algorithm, we identified those voxels that were most likely to be pa"],"journal":["NeuroImage. Clinical"],"pubmed_title":["Stroke atlas of the brain: Voxel-wise density-based clustering of infarct lesions topographic distribution."],"pmcid":["PMC6728875"],"funding_grant_id":["K01 HD091283"],"pubmed_authors":["McKinney AM","Liew SL","Wang Y","Juliano JM","Payabvash S"],"additional_accession":[]},"is_claimable":false,"name":"Stroke atlas of the brain: Voxel-wise density-based clustering of infarct lesions topographic distribution.","description":"<h4>Objective</h4>The supply territories of main cerebral arteries are predominantly identified based on distribution of infarct lesions in patients with large arterial occlusion; whereas, there is no consensus atlas regarding the supply territories of smaller end-arteries. In this study, we applied a data-driven approach to construct a stroke atlas of the brain using hierarchical density clustering in large number of infarct lesions, assuming that voxels/regions supplied by a common end-artery tend to infarct together.<h4>Methods</h4>A total of 793 infarct lesions on MRI scans of 458 patients were segmented and coregistered to MNI-152 standard brain space. Applying a voxel-wise data-driven hierarchical density clustering algorithm, we identified those voxels that were most likely to be pa","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019","modification":"2025-04-04T10:33:14.114Z","creation":"2019-09-24T07:08:06Z"},"accession":"S-EPMC6728875","cross_references":{"pubmed":["31473544"],"doi":["10.1016/j.nicl.2019.101981"]}}