Acta Biotheoretica

, Volume 53, Issue 3, pp 181–190

Correlating Velocity Patterns With Spatial Dynamics In Glioma Cell Migration

Authors

    • Complex Biosystems Modeling Laboratory, HST-Biomedical Engineering CenterMassachusetts Institute of Technology
    • Harvard-MIT (HST) Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General HospitalMassachusetts General Hospital
    • Complex Biosystems Modeling Laboratory, Harvard-MIT (HST) Athinoula A. Martinos Center for Biomedical ImagingMassachusetts General Hospital-East
  • Tim Demuth
    • Neurogenomics DivisionTranslational Genomics Research Institute
  • Yuri Mansury
    • Complex Biosystems Modeling Laboratory, HST-Biomedical Engineering CenterMassachusetts Institute of Technology
    • Harvard-MIT (HST) Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General HospitalMassachusetts General Hospital
Article

DOI: 10.1007/s10441-005-2527-1

Cite this article as:
Deisboeck, T.S., Demuth, T. & Mansury, Y. Acta Biotheor (2005) 53: 181. doi:10.1007/s10441-005-2527-1

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.

Key Words

Glioma cell migrationDetrended fluctuations analysis

Copyright information

© Springer Science + Business Media, Inc. 2005