Neurobiological basis of head motion in brain imaging

DOI Web Site 5 Citations
  • Ling-Li Zeng
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129;
  • Danhong Wang
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129;
  • Michael D. Fox
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129;
  • Mert Sabuncu
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129;
  • Dewen Hu
    College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan 410073, People’s Republic of China;
  • Manling Ge
    Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, Department of Biomedical Engineering, Hebei University of Technology, Tianjin 300130, People’s Republic of China;
  • Randy L. Buckner
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129;
  • Hesheng Liu
    Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02129;

Bibliographic Information

Published
2014-04-07
DOI
  • 10.1073/pnas.1317424111
Publisher
Proceedings of the National Academy of Sciences

Search this article

Description

<jats:title>Significance</jats:title> <jats:p>This study expands our understanding of head motion in brain imaging. Complementing the common knowledge that motion artifacts can distort brain connectivity measures by causing artifacts, this study identifies a neurobiological trait that is linked to differences in motion. This correlate of head motion consists of reduced distant functional connectivity primarily in the default network areas in individuals with high head motion. Importantly, this correlate is stable within individuals across time. These findings may revise the interpretations of imaging findings in many neurodevelopmental, aging, and neuropsychiatric studies. In addition, differentiating the true disease effects from the correlates of motion tendency as reported here is critical for using connectivity markers in the clinical arena because correlates of motion may reduce specificity of biomarkers.</jats:p>

Journal

Citations (5)*help

See more

Details 詳細情報について

Report a problem

Back to top