Lijun Bai

Dr. Lijun Bai


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2009 in Neuroscience Letters
Verified
Journal Article
Closed access
JLJixin Liu
Jixin Liu
JLJimin Liang
Jimin Liang
WQWei Qin
Wei Qin
JTJie Tian
Jie Tian
KYKai Yuan
Kai Yuan
MGMark S. Gold
Mark S. Gold

1 May 2012 in Psychiatry Research: Neuroimaging
Verified
Journal Article
Closed access
ZLZhenyu Liu
Zhenyu Liu
YZYumei Zhang
Yumei Zhang
HYHao Yan
Hao Yan
LBLijun Bai
Lijun Bai
RDRuwei Dai
Ruwei Dai
JTJie Tian
Jie Tian

1 January 2008 in Molecular Pain
Verified
Journal Article
Open access
WQWei Qin
Wei Qin
JTJie Tian
Jie Tian
LBLijun Bai
Lijun Bai
XPXiaohong Pan
Xiaohong Pan
LYLin Yang
Lin Yang
YLYijun Liu
Yijun Liu
Background: Recently, increasing evidence has indicated that the primary acupuncture effects are mediated by the central nervous system. However, specific brain networks underpinning these effects remain unclear. Results: In the present study using fMRI, we employed a within-condition interregional covariance analysis method to investigate functional connectivity of brain networks involved in acupuncture. The fMRI experiment was performed before, during and after acupuncture manipulations on healthy volunteers at an acupuncture point, which was previously implicated in a neural pathway for pain modulation. We first identified significant fMRI signal changes during acupuncture stimulation in the left amygdala, which was subsequently selected as a functional reference for connectivity analyses. Our results have demonstrated that there is a brain network associated with the amygdala during a resting condition. This network encompasses the brain structures that are implicated in both pain sensation and pain modulation. We also found that such a pain-related network could be modulated by both verum acupuncture and sham acupuncture. Furthermore, compared with a sham acupuncture, the verum acupuncture induced a higher level of correlations among the amygdala-associated network. Conclusion: Our findings indicate that acupuncture may change this amygdala-specific brain network into a functional state that underlies pain perception and pain modulation.

1 June 2012 in Magnetic Resonance Imaging
Verified
Journal Article
Closed access
YFYuanyuan Feng
Yuanyuan Feng
LBLijun Bai
Lijun Bai
YRYanshuang Ren
Yanshuang Ren
SCShangjie Chen
Shangjie Chen
HWHu Wang
Hu Wang
JTJie Tian
Jie Tian

1 July 2009 in Brain Research
Verified
Journal Article
Closed access
LBLijun Bai
Lijun Bai
WQWei Qin
Wei Qin
JTJie Tian
Jie Tian
MDMinghao Dong
Minghao Dong
XPXiaohong Pan
Xiaohong Pan
YLYijun Liu
Yijun Liu

1 January 2010 in Molecular Pain
Verified
Journal Article
Open access
LBLijun Bai
Lijun Bai
JTJie Tian
Jie Tian
CZChongguang Zhong
Chongguang Zhong
TXTing Xue
Ting Xue
YYYoubo You
Youbo You
YLYijun Liu
Yijun Liu
Background: Accumulating neuroimaging studies in humans have shown that acupuncture can modulate a widely distributed brain network, large portions of which are overlapped with the pain-related areas. Recently, a striking feature of acupuncture-induced analgesia is found to be associated with its long-last effect, which has a delayed onset and gradually reaches a peak even after acupuncture needling being terminated. Identifying temporal neural responses in these areas that occur at particular time – both acute and sustained effects during acupuncture processes – may therefore shed lights on how such peripheral inputs are conducted and mediated through the CNS. In the present study, we adopted a non-repeated event-related (NRER) fMRI paradigm and control theory based approach namely change-point analysis in order to capture the detailed temporal profile of neural responses induced by acupuncture. Results: Our findings demonstrated that neural activities at the different stages of acupuncture presented distinct temporal patterns, in which consistently positive neural responses were found during the period of acupuncture needling while much more complex and dynamic activities found during a post-acupuncture period. These brain responses had a significant time-dependent effect which showed different onset time and duration of neural activities. The amygdala and perigenual anterior cingulate cortex (pACC), exhibited increased activities during the needling phase while decreased gradually to reach a peak below the baseline. The periaqueductal gray (PAG) and hypothalamus presented saliently intermittent activations across the whole fMRI session. Apart from the time-dependent responses, relatively persistent activities were also identified in the anterior insula and prefrontal cortices. The overall findings indicate that acupuncture may engage differential temporal neural responses as a function of time in a wide range of brain networks. Conclusions: Our study has provided evidence supporting a view that acupuncture intervention involves complex modulations of temporal neural response, and its effect can gradually resolve as a function of time. The functional specificity of acupuncture at ST36 may involve multiple levels of differential activities of a wide range of brain networks, which are gradually enhanced even after acupuncture needle being terminated.