• DocumentCode
    46111
  • Title

    Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function

  • Author

    Jinglei Lv ; Xi Jiang ; Xiang Li ; Dajiang Zhu ; Shu Zhang ; Shijie Zhao ; Hanbo Chen ; Tuo Zhang ; Xintao Hu ; Junwei Han ; Jieping Ye ; Lei Guo ; Tianming Liu

  • Author_Institution
    Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
  • Volume
    62
  • Issue
    4
  • fYear
    2015
  • fDate
    Apr-15
  • Firstpage
    1120
  • Lastpage
    1131
  • Abstract
    For decades, it has been largely unknown to what extent multiple functional networks spatially overlap/interact with each other and jointly realize the total cortical function. Here, by developing novel sparse representation of whole-brain fMRI signals and by using the recently publicly released large-scale Human Connectome Project high-quality fMRI data, we show that a number of reproducible and robust functional networks, including both task-evoked and resting state networks, are simultaneously distributed in distant neuroanatomic areas and substantially spatially overlapping with each other, thus forming an initial collection of holistic atlases of functional networks and interactions (HAFNIs). More interestingly, the HAFNIs revealed two distinct patterns of highly overlapped regions and highly specialized regions and exhibited that these two patterns of areas are reciprocally localized, revealing a novel organizational principle of cortical function.
  • Keywords
    bioelectric potentials; biomedical MRI; neural nets; neurophysiology; distant neuroanatomic areas; functional network holistic atlases; high quality fMRI data; interaction holistic atlases; large-scale Human Connectome Project; multiple functional networks; reciprocal organizational architecture; reproducible functional network; resting state network; robust functional network; task-evoked network; total cortical function; whole-brain fMRI signals; Computer architecture; Correlation; Dictionaries; Educational institutions; Encoding; Sparse matrices; Visualization; Brain networks; Cortical architecture,; brain networks; cortical architecture; fMRI; interaction;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2014.2369495
  • Filename
    6960842