title: Ischemic cerebral tissue response to subventricular zone cell transplantation measured by iterative self-organizing data analysis technique algorithm.
abstract: To investigate the changes of the ischemic lesion in rat brain after subventricular zone (SVZ) cell transplantation and the influence of the grafted cells on the appearance of angiogenesis, SVZ cells, superparamagnetically labeled, were intracisternally transplanted into the rat brain 48 h after onset of embolic stroke. A complete set of magnetic resonance (MR) images was acquired for all animals with (n=8) and without (n=3) cell grafting at approximately 24 h, 72 h, and weekly for 6 weeks after stroke. Transplanted cells were tracked by high-resolution three-dimensional gradient-echo images and the interaction between the cells and ischemic lesion was detected by ISODATA (Iterative Self-Organizing Data Analysis Technique Algorithm) calculated from T(1), T(2) and T(1sat) maps. Tissue status from ISODATA was characterized by a specific signature, which represents the deviation from normal tissue in the feature space. Transplanted SVZ cells selectively migrated towards the ischemic side of the rat brain and approached the lesion boundary within 1-week after grafting. Cell treated rats exhibited a significant reduction of average lesion size compared with control rats (P<0.05). A significant reduction of tissue signature (P<0.001) induced by cell transplantation was localized to the position of grafted cells, and these sites exhibited stably restored cerebral blood flow (CBF) (approximately 85% of normal CBF). Angiogenesis was present in sites either immediately adjacent to or surrounded by the grafted cells. Our data indicate that map-ISODATA accurately and dynamically characterizes the ischemic lesion and its response to cell therapy.
authors.affiliation: Department of Neurology, Henry Ford Health Sciences Center, Detroit, Michigan 48202, USA.
authors.forename: Lian
authors.initials: L
authors.lastname: Li
authors.forename: Quan
authors.initials: Q
authors.lastname: Jiang
authors.forename: Li
authors.initials: L
authors.lastname: Zhang
authors.forename: Guangliang
authors.initials: G
authors.lastname: Ding
authors.forename: Lei
authors.initials: L
authors.lastname: Wang
authors.forename: Ruilan
authors.initials: R
authors.lastname: Zhang
authors.forename: Zheng G
authors.initials: ZG
authors.lastname: Zhang
authors.forename: Qingjiang
authors.initials: Q
authors.lastname: Li
authors.forename: James R
authors.initials: JR
authors.lastname: Ewing
authors.forename: Alissa
authors.initials: A
authors.lastname: Kapke
authors.forename: Mei
authors.initials: M
authors.lastname: Lu
authors.forename: Michael
authors.initials: M
authors.lastname: Chopp
mesh_terms: D000465:Algorithms; D000818:Animals; D001185:Artificial Intelligence; D002545:Brain Ischemia / Q000473:pathology*; D002552:Cerebral Ventricles / Q000473:pathology / Q000502:physiology*; D002560:Cerebrovascular Circulation; D003627:Data Interpretation, Statistical; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008297:Male; D018919:Neovascularization, Physiologic / Q000502:physiology; D009474:Neurons / Q000637:transplantation*; D010641:Phenotype; D051381:Rats; D017208:Rats, Wistar