{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Min ZG"],"funding":["Foundation of Medical and Health Guiding Projects of Science and Technology Development in Wuxi City"],"pagination":["128"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7977583"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["21(1)"],"pubmed_abstract":["<h4>Background</h4>Although increasing evidence showed the correlations between white matter hyperintensities (WMHs) and cognitive impairment, the relationship between them is still modest. Many researchers began to focus on the variation caused by the heterogeneity of WMH. We tried to explore the pathological heterogeneity in WMH by using diffusion tensor imaging (DTI), so as to provide a new insight into the future research.<h4>Methods</h4>Diffusion weighted images (DWIs) of the brain were acquired from 73 patients with WMH and 18 healthy controls, which were then modeled by DTI. We measured fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) of white matter of the periventricular frontal lobe (pFL), periventricular occipital lobe (pOL),"],"journal":["BMC neurology"],"pubmed_title":["Diffusion tensor imaging revealed different pathological processes of white matter hyperintensities."],"pmcid":["PMC7977583"],"funding_grant_id":["No. 32"],"pubmed_authors":["Xu L","Yuan DH","Niu C","Cao ZH","Min ZG","Sheng XX","Xie WC","Shakir TM","Zhang M","Shan HR"],"additional_accession":[]},"is_claimable":false,"name":"Diffusion tensor imaging revealed different pathological processes of white matter hyperintensities.","description":"<h4>Background</h4>Although increasing evidence showed the correlations between white matter hyperintensities (WMHs) and cognitive impairment, the relationship between them is still modest. Many researchers began to focus on the variation caused by the heterogeneity of WMH. We tried to explore the pathological heterogeneity in WMH by using diffusion tensor imaging (DTI), so as to provide a new insight into the future research.<h4>Methods</h4>Diffusion weighted images (DWIs) of the brain were acquired from 73 patients with WMH and 18 healthy controls, which were then modeled by DTI. We measured fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) of white matter of the periventricular frontal lobe (pFL), periventricular occipital lobe (pOL),","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Mar","modification":"2025-04-26T00:37:19.533Z","creation":"2025-04-06T09:48:54.605Z"},"accession":"S-EPMC7977583","cross_references":{"pubmed":["33740898"],"doi":["10.1186/s12883-021-02140-9"]}}