title: Correlating velocity patterns with spatial dynamics in glioma cell migration.
abstract: Highly malignant neuroepithelial tumors are known for their extensive tissue invasion. Investigating the relationship between their spatial behavior and temporal patterns by employing detrended fluctuation analysis (DFA), we report here that faster glioma cell motility is accompanied by both greater predictability of the cells' migration velocity and concomitantly, more directionality in the cells' migration paths. Implications of this finding for both experimental and clinical cancer research are discussed.
authors.affiliation: Complex Biosystems Modeling Laboratory, HST-Biomedical Engineering Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. deisboec@helix.mgh.harvard.edu
authors.forename: Thomas S
authors.initials: TS
authors.lastname: Deisboeck
authors.forename: Tim
authors.initials: T
authors.lastname: Demuth
authors.forename: Yuri
authors.initials: Y
authors.lastname: Mansury
mesh_terms: D000054:Acceleration; D001932:Brain Neoplasms / Q000473:pathology*; D045744:Cell Line, Tumor; D002465:Cell Movement / Q000502:physiology*; D005910:Glioma / Q000473:pathology*; D006801:Humans; D016014:Linear Models; D009361:Neoplasm Invasiveness / Q000473:pathology*; D009949:Orientation / Q000502:physiology; D014407:Tumor Cells, Cultured / Q000502:physiology*