• DocumentCode
    53598
  • Title

    Functional Alteration of the DMN by Learned Regulation of the PCC Using Real-Time fMRI

  • Author

    Gaoyan Zhang ; Hang Zhang ; Xiaoli Li ; Xiaojie Zhao ; Li Yao ; Zhiying Long

  • Author_Institution
    State Key Lab. of Cognitive Neurosci. & Learning, Beijing Normal Univ., Beijing, China
  • Volume
    21
  • Issue
    4
  • fYear
    2013
  • fDate
    Jul-13
  • Firstpage
    595
  • Lastpage
    606
  • Abstract
    The default mode network (DMN) is a network of brain regions that are active during rest and suppressed during a cognitively demanding task. Previous studies have shown that the DMN can be altered by development, aging, disorder, cognitive tasks and offline training. However, it´s unclear whether activity in the DMN can be altered by real-time training. Recently, real-time functional magnetic resonance imaging (rtfMRI), as a novel neurofeedback technique, has been applied to train subjects to voluntarily control activities in specific brain regions. In the current study, it was found that by using rtfMRI to guide training, subjects were able to learn to decrease activity in the posterior cingulate cortex (PCC), which is a “key hub” in the DMN, using motor imagery strategy. After the real-time training, activity in the medial prefrontral cortex/ anterior cingulate cortex (MPFC/ACC) of the resting state DMN was decreased. By contrast, the control group without neurofeedback produced increased activity in the MPFC/ACC of the DMN during the post-training resting state. These findings suggest that this rtfMRI technique has great potential to be used in the regulation of the DMN and may be a novel approach for studying functional plasticity of the cortex.
  • Keywords
    biomedical MRI; brain; cognition; image sequences; medical image processing; neurophysiology; plasticity; DMN; PCC; aging; brain region; cognitively demanding task; cortex functional plasticity; default mode network; image sequence; learned regulation; motor imagery strategy; novel neurofeedback method; offline training; posterior cingulate cortex; real-time fMRI; real-time functional magnetic resonance imaging; resting state DMN; Brain; Educational institutions; Fingers; Head; Neurofeedback; Real-time systems; Training; Alteration; cortical plasticity; default mode network (DMN); posterior cingulate cortex (PCC); real-time functional magnetic resonance imaging (rtfMRI); Cerebral Cortex; Computer Systems; Data Interpretation, Statistical; Feedback, Physiological; Female; Humans; Image Processing, Computer-Assisted; Imagination; Learning; Magnetic Resonance Imaging; Male; Nerve Net; Neuronal Plasticity; Oxygen; Principal Component Analysis; Psychomotor Performance; Questionnaires; Young Adult;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2012.2221480
  • Filename
    6327677