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Nianming Zuo
Chinese Academy of Sciences
Iterative reconstructionDefault mode networkPsychologyNeuroscienceImage quality
21Publications
7H-index
136Citations
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Publications 23
Newest
#1Rongtao Jiang (CAS: Chinese Academy of Sciences)H-Index: 6
#2Nianming Zuo (CAS: Chinese Academy of Sciences)H-Index: 7
Last. Jing SuiH-Index: 31
view all 12 authors...
Abstract Although both resting and task-induced functional connectivity (FC) have been used to characterize the human brain and cognitive abilities, the potential of task-induced FCs in individualized prediction for out-of-scanner cognitive traits remains largely unexplored. A recent study Greene et al. (2018) predicted the fluid intelligence scores using FCs derived from rest and multiple task conditions, suggesting that task-induced brain state manipulation improved prediction of individual tr...
2 CitationsSource
#1Nianming ZuoH-Index: 7
#2Alireza SalamiH-Index: 16
Last. Tianzi JiangH-Index: 67
view all 5 authors...
Abstract The multiple demand network (MDN) is conceptualized as the core processing system for multi-tasking. Increasing evidence also provides strong support for the involvement of the MDN in fluid intelligence (gF), i.e., the ability to solve new problems. However, the underlying neural mechanisms of declining intelligence in old age are poorly explored, particularly whether maintenance of the functional architecture of the MDN can characterize superior intelligence in successful aging. Here, ...
Source
#1Weizheng Yan (CAS: Chinese Academy of Sciences)H-Index: 2
#2Vince D. CalhounH-Index: 93
Last. Jing Sui (CAS: Chinese Academy of Sciences)H-Index: 31
view all 25 authors...
Abstract Background Current fMRI-based classification approaches mostly use functional connectivity or spatial maps as input, instead of exploring the dynamic time courses directly, which does not leverage the full temporal information. Methods Motivated by the ability of recurrent neural networks (RNN) in capturing dynamic information of time sequences, we propose a multi-scale RNN model, which enables classification between 558 schizophrenia and 542 healthy controls by using time courses of fM...
1 CitationsSource
#1Rongtao Jiang (CAS: Chinese Academy of Sciences)H-Index: 6
#2Vince D. Calhoun (Georgia Institute of Technology)H-Index: 93
Last. Jing SuiH-Index: 31
view all 13 authors...
4 CitationsSource
#1Nianming ZuoH-Index: 7
#2Alireza Salami (KI: Karolinska Institutet)H-Index: 16
Last. Tianzi JiangH-Index: 67
view all 6 authors...
Working memory (WM) is a complex and pivotal cognitive system underlying the performance of many cognitive behaviors. Although individual differences in WM performance have previously been linked to the blood oxygenation level-dependent (BOLD) response across several large-scale brain networks, the unique and shared contributions of each large-scale brain network to efficient WM processes across different cognitive loads remain elusive. Using a WM paradigm and functional magnetic resonance imagi...
1 CitationsSource
#1Shengfeng LiuH-Index: 4
#2Haiying Wang (Harbin University of Science and Technology)H-Index: 1
Last. Jing SuiH-Index: 31
view all 32 authors...
Multimodal fusion has been regarded as a promising tool to discover covarying patterns of multiple imaging types impaired in brain diseases, such as schizophrenia (SZ). In this article, we aim to investigate the covarying abnormalities underlying SZ in a large Chinese Han population (307 SZs, 298 healthy controls [HCs]). Four types of magnetic resonance imaging (MRI) features, including regional homogeneity (ReHo) from resting-state functional MRI, gray matter volume (GM) from structural MRI, fr...
5 CitationsSource
#1Rongtao Jiang (CAS: Chinese Academy of Sciences)H-Index: 6
#2Vince D. Calhoun (UNM: University of New Mexico)H-Index: 93
Last. Jing Sui (CAS: Chinese Academy of Sciences)H-Index: 31
view all 12 authors...
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...
10 CitationsSource
#1Na Luo (CAS: Chinese Academy of Sciences)H-Index: 2
#2Jing SuiH-Index: 31
Last. Tianzi JiangH-Index: 67
view all 35 authors...
Abstract Background In the past decades, substantial effort has been made to explore the genetic influence on brain structural/functional abnormalities in schizophrenia, as well as cognitive impairments. In this work, we aimed to extend previous studies to explore the internal mediation pathway among genetic factor, brain features and cognitive scores in a large Chinese dataset. Methods Gray matter (GM) volume, fractional amplitude of low-frequency fluctuations (fALFF), and 4522 schizophrenia-su...
3 CitationsSource
#1Nianming ZuoH-Index: 7
#2Zhengyi YangH-Index: 16
Last. Tianzi JiangH-Index: 67
view all 5 authors...
Different cognitively demanding tasks recruit globally distributed but functionally specific networks. However, the configuration of core networks and their reconfiguration patterns across cognitive loads remain unclear, as does whether these patterns are indicators for the performance of cognitive tasks. In this study, we analyzed functional magnetic resonance imaging data of a large cohort of 448 subjects, acquired with the brain at resting state and executing N-back working memory (WM) tasks....
4 CitationsSource
#1Nianming Zuo (CAS: Chinese Academy of Sciences)H-Index: 7
#2Zhengyi Yang (CAS: Chinese Academy of Sciences)H-Index: 16
Last. Tianzi JiangH-Index: 67
view all 5 authors...
Introduction: Functional magnetic resonance imaging (fMRI) has become very important for noninvasively characterizing BOLD signal fluctuations, which reflect the changes in neuronal firings in the brain. Unlike the activation detection strategy utilized with fMRI, which only emphasizes the synchronicity between the functional nodes (activated regions) and the task design, brain connectivity and network theory are able to decipher the interactive structure across the entire brain. However, little...
4 CitationsSource
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