Shuwei Liu

Dr. Shuwei Liu


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

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

Representative Publications

View All Publications
1 May 2010 in NeuroImage
Verified
Journal Article
Closed access
YTYuchun Tang
Yuchun Tang
CHCornelius Hojatkashani
Cornelius Hojatkashani
IDIvo D. Dinov
Ivo D. Dinov
BSBo Sun
Bo Sun
LFLingzhong Fan
Lingzhong Fan
ATArthur W. Toga
Arthur W. Toga

23 November 2011 in Human Brain Mapping
Verified
Journal Article
Closed access
PDF file
XYXuntao Yin
Xuntao Yin
YHYan Han
Yan Han
HGHaitao Ge
Haitao Ge
WXWenjian Xu
Wenjian Xu
RHRuiwang Huang
Ruiwang Huang
SLShuwei Liu
Shuwei Liu

13 October 2017 in Frontiers in Neuroscience
Verified
Journal Article
Open access
LSLimei Song
Limei Song
VMVirendra Mishra
Virendra Mishra
MOMinhui Ouyang
Minhui Ouyang
QPQinmu Peng
Qinmu Peng
MSMichelle Slinger
Michelle Slinger
HHHao Huang
Hao Huang
Complicated molecular and cellular processes take place in a spatiotemporally heterogeneous and precisely regulated pattern in the human fetal brain, yielding not only dramatic morphological and microstructural changes, but also macroscale connectomic transitions. As the underlying substrate of the fetal brain structural network, both dynamic neuronal migration pathways and rapid developing fetal white matter (WM) fibers could fundamentally reshape early fetal brain connectome. Quantifying structural connectome development can not only shed light on the brain reconfiguration in this critical yet rarely studied developmental period, but also reveal alterations of the connectome under neuropathological conditions. However, transition of the structural connectome from the mid-fetal stage to birth is not yet known. The contribution of different types of neural fibers to the structural network in the mid-fetal brain is not known, either. In this study, diffusion tensor magnetic resonance imaging (DT-MRI or DTI) of 10 fetal brain specimens at the age of 20 postmenstrual weeks (PMW), 12 in vivo brains at 35 PMW and 12 in vivo brains at term (40 PMW) were acquired. The structural connectome of each brain was established with evenly parcellated cortical regions as network nodes and traced fiber pathways based on DTI tractography as network edges. Two groups of fibers were categorized based on the fiber terminal locations in the cerebral wall in the 20PMW fetal brains. We found that fetal brain networks become stronger and more efficient during 20-40 PMW. Furthermore, network strength and global efficiency increase more rapidly during 20-35PMW than during 35-40PMW. Visualization of the whole brain fiber distribution by the lengths suggested that the network reconfiguration in this developmental period could be associated with a significant increase of major long association WM fibers. In addition, non-WM neural fibers could be a major contributor to the structural network configuration at 20PMW and small-world network organization could exist as early as 20PMW. These findings offer a preliminary record of the fetal brain structural connectome maturation from the middle fetal stage to birth and reveal the critical role of non-WM neural fibers in structural network configuration in the middle fetal stage.

1 November 2013 in NeuroImage
Verified
Journal Article
Closed access
JZJinfeng Zhan
Jinfeng Zhan
IDIvo D. Dinov
Ivo D. Dinov
JLJunning Li
Junning Li
ZZZhonghe Zhang
Zhonghe Zhang
SHSam Hobel
Sam Hobel
SLShuwei Liu
Shuwei Liu

30 November 2012 in PLOS ONE
Verified
Journal Article
Open access
PDF file
XYXuntao Yin
Xuntao Yin
LZLu Zhao
Lu Zhao
JXJunhai Xu
Junhai Xu
AEAlan C. Evans
Alan C. Evans
LFLingzhong Fan
Lingzhong Fan
SLShuwei Liu
Shuwei Liu
Both neuropsychological and functional neuroimaging studies have identified that the posterior parietal lobe (PPL) is critical for the attention function. However, the unique role of distinct parietal cortical subregions and their underlying white matter (WM) remains in question. In this study, we collected both magnetic resonance imaging and diffusion tensor imaging (DTI) data in normal participants, and evaluated their attention performance using attention network test (ANT), which could isolate three different attention components: alerting, orienting and executive control. Cortical thickness, surface area and DTI parameters were extracted from predefined PPL subregions and correlated with behavioural performance. Tract-based spatial statistics (TBSS) was used for the voxel-wise statistical analysis. Results indicated structure-behaviour relationships on multiple levels. First, a link between the cortical thickness and WM integrity of the right inferior parietal regions and orienting performance was observed. Specifically, probabilistic tractography demonstrated that the integrity of WM connectivity between the bilateral inferior parietal lobules mediated the orienting performance. Second, the scores of executive control were significantly associated with the WM diffusion metrics of the right supramarginal gyrus. Finally, TBSS analysis revealed that alerting performance was significant correlated with the fractional anisotropy of local WM connecting the right thalamus and supplementary motor area. We conclude that distinct areas and features within PPL are associated with different components of attention. These findings could yield a more complete understanding of the nature of the PPL contribution to visuospatial attention.

1 October 2015 in NeuroImage
Verified
Journal Article
Closed access
XGXinting Ge
Xinting Ge
YSYonggang Shi
Yonggang Shi
JLJunning Li
Junning Li
ZZZhonghe Zhang
Zhonghe Zhang
XLXiangtao Lin
Xiangtao Lin
SLShuwei Liu
Shuwei Liu