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

被引:21
|
作者
Zhang, Gaoyan [1 ]
Zhang, Hang [1 ,2 ]
Li, Xiaoli [1 ]
Zhao, Xiaojie [3 ]
Yao, Li [1 ,3 ]
Long, Zhiying [1 ]
机构
[1] Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
[2] Peking Univ, Dept Biomed Engn, Beijing 100875, Peoples R China
[3] Beijing Normal Univ, Sch Informat Sci & Technol, Beijing 100875, Peoples R China
基金
中国国家自然科学基金;
关键词
Alteration; cortical plasticity; default mode network (DMN); posterior cingulate cortex (PCC); real-time functional magnetic resonance imaging (rtfMRI); RESTING-STATE NETWORKS; DEFAULT-MODE; CORTEX ACTIVITY; BRAIN ACTIVATION; SELF-REGULATION; WORKING-MEMORY; CONNECTIVITY; MODULATION; ATTENTION; IMAGERY;
D O I
10.1109/TNSRE.2012.2221480
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
收藏
页码:595 / 606
页数:12
相关论文
共 50 条
  • [11] Real-Time fMRI
    Scharnowski, F.
    Mathiak, K.
    Weiskopf, N.
    KLINISCHE NEUROPHYSIOLOGIE, 2009, 40 (04) : 214 - 221
  • [12] Functional connectivity alteration after real-time fMRI motor imagery training through self-regulation of activities of the right premotor cortex
    Xie, Fufang
    Xu, Lele
    Long, Zhiying
    Yao, Li
    Wu, Xia
    BMC NEUROSCIENCE, 2015, 16
  • [13] Functional connectivity alteration after real-time fMRI motor imagery training through self-regulation of activities of the right premotor cortex
    Fufang Xie
    Lele Xu
    Zhiying Long
    Li Yao
    Xia Wu
    BMC Neuroscience, 16
  • [14] Using real-time fMRI to influence effective connectivity in the developing emotion regulation network
    Kadosh, Kathrin Cohen
    Luo, Qiang
    de Burca, Calem
    Sokunbi, Moses O.
    Feng, Jianfeng
    Linden, David E. J.
    Lau, Jennifer Y. F.
    NEUROIMAGE, 2016, 125 : 616 - 626
  • [15] Controlling an avatar by thought using real-time fMRI
    Friedman, D.
    Cohen, O.
    Mendelsohn, A.
    Drai, D.
    Koppel, M.
    Malach, R.
    JOURNAL OF MOLECULAR NEUROSCIENCE, 2012, 48 : S36 - S37
  • [16] Controlling an avatar by thought using real-time fMRI
    Cohen, Ori
    Koppel, Moshe
    Malach, Rafael
    Friedman, Doron
    JOURNAL OF NEURAL ENGINEERING, 2014, 11 (03)
  • [17] Applications of real-time fMRI
    decharms, R. Christopher
    NATURE REVIEWS NEUROSCIENCE, 2008, 9 (09) : 720 - 729
  • [18] Applications of real-time fMRI
    R. Christopher deCharms
    Nature Reviews Neuroscience, 2008, 9 : 720 - 729
  • [19] Control over brain activation and pain learned by using real-time functional MRI
    deCharms, RC
    Maeda, F
    Glover, GH
    Ludlow, D
    Pauly, JM
    Soneji, D
    Gabrieli, JDE
    Mackey, SC
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (51) : 18626 - 18631
  • [20] Amygdala regulation using real-time fMRI based implicit closed-loop neurofeedback
    Watve, Apurva
    Haugg, Amelie
    Koush, Yury
    Willinger, David
    Bruhl, Annette
    Stampfli, Philipp
    Scharnowski, Frank
    Sladky, Ronald
    JOURNAL OF NEURAL TRANSMISSION, 2021, 128 (11) : 1775 - 1775