Zhening Liu

Dr. Zhening Liu


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

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

Representative Publications

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25 February 2008 in Brain
Verified
Journal Article
Open access
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YLYong Liu
Yong Liu
MLMeng Liang
Meng Liang
YZYuan Zhou
Yuan Zhou
YHYong He
Yong He
YHYihui Hao
Yihui Hao
TJTianzi Jiang
Tianzi Jiang
The human brain has been described as a large, sparse, complex network characterized by efficient small-world properties, which assure that the brain generates and integrates information with high efficiency. Many previous neuroimaging studies have provided consistent evidence of ‘dysfunctional connectivity’ among the brain regions in schizophrenia; however, little is known about whether or not this dysfunctional connectivity causes disruption of the topological properties of brain functional networks. To this end, we investigated the topological properties of human brain functional networks derived from resting-state functional magnetic resonance imaging (fMRI). Data was obtained from 31 schizophrenia patients and 31 healthy subjects; then functional connectivity between 90 cortical and sub-cortical regions was estimated by partial correlation analysis and thresholded to construct a set of undirected graphs. Our findings demonstrated that the brain functional networks had efficient small-world properties in the healthy subjects; whereas these properties were disrupted in the patients with schizophrenia. Brain functional networks have efficient small-world properties which support efficient parallel information transfer at a relatively low cost. More importantly, in patients with schizophrenia the small-world topological properties are significantly altered in many brain regions in the prefrontal, parietal and temporal lobes. These findings are consistent with a hypothesis of dysfunctional integration of the brain in this illness. Specifically, we found that these altered topological measurements correlate with illness duration in schizophrenia. Detection and estimation of these alterations could prove helpful for understanding the pathophysiological mechanism as well as for evaluation of the severity of schizophrenia.

1 December 2007 in Schizophrenia Research
Verified
Journal Article
Closed access
YZYuan Zhou
Yuan Zhou
MLMeng Liang
Meng Liang
LTLixia Tian
Lixia Tian
KWKun Wang
Kun Wang
YHYihui Hao
Yihui Hao
TJTianzi Jiang
Tianzi Jiang

1 February 2006 in NeuroReport
Verified
Journal Article
Closed access
MLMeng Liang
Meng Liang
YZYuan Zhou
Yuan Zhou
TJTianzi Jiang
Tianzi Jiang
ZLZhening Liu
Zhening Liu
LTLixia Tian
Lixia Tian
YHYihui Hao
Yihui Hao
Using resting-state functional magnetic resonance imaging, we examined the functional connectivity throughout the entire brain in schizophrenia. The abnormalities in functional connectivity were identified by comparing the correlation coefficients of each pair of 116 brain regions between 15 patients and 15 controls. Then, the global distribution of the abnormal functional connectivities was examined. Experimental results indicated, in general, a decreased functional connectivity in schizophrenia during rest, and such abnormalities were widely distributed throughout the entire brain rather than restricted to a few specific brain regions. The results provide a quantitative support for the hypothesis that schizophrenia may arise from the disrupted functional integration of widespread brain areas.

1 March 2008 in Schizophrenia Research
Verified
Journal Article
Closed access
YZYuan Zhou
Yuan Zhou
NSNi Shu
Ni Shu
YLYong Liu
Yong Liu
MSMing Song
Ming Song
YHYihui Hao
Yihui Hao
TJTianzi Jiang
Tianzi Jiang

1 May 2007 in Neuroscience Letters
Verified
Journal Article
Closed access
YZYuan Zhou
Yuan Zhou
MLMeng Liang
Meng Liang
TJTianzi Jiang
Tianzi Jiang
LTLixia Tian
Lixia Tian
YLYong Liu
Yong Liu
FKFan Kuang
Fan Kuang

1 April 2013 in Journal of Affective Disorders
Verified
Journal Article
Closed access
FLFeng Liu
Feng Liu
WGWenbin Guo
Wenbin Guo
LLLing Liu
Ling Liu
ZLZhiliang Long
Zhiliang Long
CMChaoqiong Ma
Chaoqiong Ma
HCHuafu Chen
Huafu Chen