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Rongtao Jiang
Chinese Academy of Sciences
10Publications
4H-index
57Citations
Publications 10
Newest
Published on 2019in Cerebral Cortex5.44
Rongtao Jiang4
Estimated H-index: 4
(CAS: Chinese Academy of Sciences),
Vince D. Calhoun3
Estimated H-index: 3
(Georgia Institute of Technology)
+ 7 AuthorsMing Song16
Estimated H-index: 16
(CAS: Chinese Academy of Sciences)
Published on Jul 5, 2019in Brain Imaging and Behavior3.42
Rongtao Jiang4
Estimated H-index: 4
(CAS: Chinese Academy of Sciences),
Vince Daniel Calhoun1
Estimated H-index: 1
(Georgia Institute of Technology)
+ 8 AuthorsTianzi Jiang63
Estimated H-index: 63
Intelligence is a socially and scientifically interesting topic because of its prominence in human behavior, yet there is little clarity on how the neuroimaging and neurobiological correlates of intelligence differ between males and females, with most investigations limited to using either mass-univariate techniques or a single neuroimaging modality. Here we employed connectome-based predictive modeling (CPM) to predict the intelligence quotient (IQ) scores for 166 males and 160 females separate...
Published on May 31, 2019in Journal of Radiation Research2.01
Jiaqi Li (PKU: Peking University), Xile Zhang1
Estimated H-index: 1
(PKU: Peking University)
+ 4 AuthorsRuijie Yang (PKU: Peking University)
Published on 2019in bioRxiv
Shile Qi4
Estimated H-index: 4
(The Mind Research Network),
Jing Sui28
Estimated H-index: 28
(CAS: Chinese Academy of Sciences)
+ 7 AuthorsDongdong Lin (The Mind Research Network)
ABSTRACT There is growing evidence that rather than using a single brain imaging modality to study its association with physiological or symptomatic features, the field is paying more attention to fusion of multimodal information. However, most current multimodal fusion approaches that incorporate functional magnetic resonance imaging (fMRI) are restricted to second-level 3D features, rather than the original 4D fMRI data. This trade-off is that the valuable temporal information is not utilized ...
Published on Dec 1, 2018in Nature Communications11.88
Jing Sui28
Estimated H-index: 28
,
Shile Qi4
Estimated H-index: 4
(CAS: Chinese Academy of Sciences)
+ 22 AuthorsAndrew R. Mayer37
Estimated H-index: 37
(UNM: University of New Mexico)
Cognitive impairment is a feature of many psychiatric diseases, including schizophrenia. Here we aim to identify multimodal biomarkers for quantifying and predicting cognitive performance in individuals with schizophrenia and healthy controls. A supervised learning strategy is used to guide three-way multimodal magnetic resonance imaging (MRI) fusion in two independent cohorts including both healthy individuals and individuals with schizophrenia using multiple cognitive domain scores. Results hi...
Published on Dec 1, 2018in NeuroImage5.81
Rongtao Jiang4
Estimated H-index: 4
(CAS: Chinese Academy of Sciences),
Vince Daniel Calhoun87
Estimated H-index: 87
(UNM: University of New Mexico)
+ 9 AuthorsMing Song16
Estimated H-index: 16
(CAS: Chinese Academy of Sciences)
Abstract Temperament consists of multi-dimensional traits that affect various domains of human life. Evidence has shown functional connectome-based predictive models are powerful predictors of cognitive abilities. Putatively, individuals' innate temperament traits may be predictable by unique patterns of brain functional connectivity (FC) as well. However, quantitative prediction for multiple temperament traits at the individual level has not yet been studied. Therefore, we were motivated to rea...
Published on Jul 31, 2018in Frontiers in Psychiatry3.16
Dongmei Zhi1
Estimated H-index: 1
(CAS: Chinese Academy of Sciences),
Vince Daniel Calhoun87
Estimated H-index: 87
(UNM: University of New Mexico)
+ 11 AuthorsMiao Pan1
Estimated H-index: 1
(Xinxiang Medical University)
Major depressive disorder (MDD) is a complex mood disorder characterized by persistent and overwhelming depression. Previous studies have identified abnormalities in large scale functional brain networks in MDD, yet most of them were based on static functional connectivity. In contrast, here we explored disrupted topological organization of dynamic functional network connectivity (dFNC) in MDD based on graph theory. 182 MDD patients and 218 healthy controls were included in this study, all Chine...
Published on Jul 1, 2018 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
Dongmei Zhi1
Estimated H-index: 1
,
Xiaohong Ma2
Estimated H-index: 2
(Sichuan University)
+ 11 AuthorsYuhui Du13
Estimated H-index: 13
(UNM: University of New Mexico)
Major depressive disorder (MDD) is a complex mood disorder characterized by persistent and overwhelming depression. Previous studies have identified abnormalities in large scale functional brain networks in MDD, yet most of them were based on static functional connectivity. By contrast, here we explored disrupted topological organization of dynamic functional network connectivity (dFNC) in MDD based on graph theory. 182 MDD patients and 218 healthy controls were included in this study, all Chine...
Published on Apr 1, 2018in Neuropsychopharmacology7.16
Rongtao Jiang4
Estimated H-index: 4
(CAS: Chinese Academy of Sciences),
Christopher C. Abbott1
Estimated H-index: 1
(CAS: Chinese Academy of Sciences)
+ 13 AuthorsMing Song (UCLA: University of California, Los Angeles)
SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets
Published on Mar 1, 2018in Brain11.81
Shile Qi4
Estimated H-index: 4
(CAS: Chinese Academy of Sciences),
Xiao Yang4
Estimated H-index: 4
(Sichuan University)
+ 7 AuthorsXiaohong Ma2
Estimated H-index: 2
(Sichuan University)
There is compelling evidence that epigenetic factors contribute to the manifestation of depression, in which microRNA132 (miR-132) is suggested to play a pivotal role in the pathogenesis and neuronal mechanisms underlying the symptoms of depression. Additionally, several depression-associated genes [MECP2, ARHGAP32 (p250GAP), CREB, and period genes] were experimentally validated as miR-132 targets. However, most studies regarding miR-132 in major depressive disorder are based on post-mortem, ani...
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