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Activation network improves spatiotemporal modelling of human brain communication processes Journal article
Liu, Xucheng, Wang, Ze, Liu, Shun, Gong, Lianggeng, Sosa, Pedro A.Valdes, Becker, Benjamin, Jung, Tzyy Ping, Dai, Xi jian, Wan, Feng. Activation network improves spatiotemporal modelling of human brain communication processes[J]. NeuroImage, 2024, 285, 120472.
Authors:  Liu, Xucheng;  Wang, Ze;  Liu, Shun;  Gong, Lianggeng;  Sosa, Pedro A.Valdes; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:4.7/6.1 | Submit date：2024/02/22
Brain Network  Dynamic Functional Network Connectivity  Functional Mri  Topological Analysis  
Oxytocin enhances the triangular association among behavior, resting-state, and task-state functional connectivity Journal article
Zhang, Haoming, Chen, Kun, Bao, Jin, Wu, Haiyan. Oxytocin enhances the triangular association among behavior, resting-state, and task-state functional connectivity[J]. Human Brain Mapping, 2023, 44(17), 6074-6089.
Authors:  Zhang, Haoming;  Chen, Kun;  Bao, Jin;  Wu, Haiyan
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:3.5/4.7 | Submit date：2024/01/02
Brain-behavior Association  Connectome-based Predictive Model  Functional Connectivity  Oxytocin  Self-face Recognition  
Brain Functional Network Generation Using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia Diagnosis Journal article
Zuo, Qiankun, Hu, Junhua, Zhang, Yudong, Pan, Junren, Jing, Changhong, Chen, Xuhang, Meng, Xiaobo, Hong, Jin. Brain Functional Network Generation Using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia Diagnosis[J]. CMES - Computer Modeling in Engineering and Sciences, 2023, 137(3), 2129-2147.
Authors:  Zuo, Qiankun;  Hu, Junhua;  Zhang, Yudong;  Pan, Junren;  Jing, Changhong; et al.
Favorite | TC[WOS]:1 TC[Scopus]:4  IF:2.2/1.8 | Submit date：2024/02/23
Adversarial Graph Encoder  Dementia  Functional Brain Connectivity  Generative Transformer  Graph Convolutional Network  Label Distribution  
Association of Intrinsic Functional Brain Network and Longitudinal Development of Cognitive Behavioral Symptoms in Young Girls With Fragile X Syndrome Journal article
Li,Rihui, Lightbody,Amy A., Lee,Cindy H., Bartholomay,Kristi L., Marzelli,Matthew J., Reiss,Allan L.. Association of Intrinsic Functional Brain Network and Longitudinal Development of Cognitive Behavioral Symptoms in Young Girls With Fragile X Syndrome[J]. Biological Psychiatry, 2023, 94(10), 814 - 822.
Authors:  Li,Rihui;  Lightbody,Amy A.;  Lee,Cindy H.;  Bartholomay,Kristi L.;  Marzelli,Matthew J.; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:9.6/10.8 | Submit date：2023/08/03
Brain Topology  Cognitive Behavioral Symptoms  Fragile x Syndrome  Functional Magnetic Resonance Imaging  Longitudinal Development  Resting-state Functional Connectivity  
Abnormal dynamic functional connectivity and brain states in Alzheimer’s diseases: functional near-infrared spectroscopy study Journal article
Haijing Niu, Zhaojun Zhu, Mengjing Wan, Xuanyu Li, Zhen Yuan, Yu Sun, Ying Han. Abnormal dynamic functional connectivity and brain states in Alzheimer’s diseases: functional near-infrared spectroscopy study[J]. Neurophotonics, 2019, 6(2), 025010.
Authors:  Haijing Niu;  Zhaojun Zhu;  Mengjing Wan;  Xuanyu Li;  Zhen Yuan; et al.
Adobe PDF | Favorite | TC[WOS]:32 TC[Scopus]:32 | Submit date：2022/08/21
CommunicAtion WithIn The BraIn Is Highly Dynamic. AlzheI.e.’s dIseAse (Ad) ExhibIts Dynamic.progression COrrespondIng To a DeclIne In MemOry And Cognition. HoWever, Little Is Known Of wheTher BraIn Dynamic. Are dIsrupted In Ad And Its Prodromal Stage, Mild CognitI.e.impairment (Mci). FOr Our Study, We AcquI.e. High samplIng RAte Functional near-InfrAred Spectroscopy imagIng DAta At Rest From The EntI.e.cOrtex Of 23 pAtients With Ad Dementia, 25 pAtients With Amnestic Mild CognitI.e.impairment (aMci), And 30 age-mAtched Healthy Controls (Hcs). slidIng-wIndow cOrrelAtion And K-means clusterIng Analyses Were Used To Construct Dynamic.Functional Connectivity (Fc) Maps FOr Each Participant. We dIscovered thAt The BraIn’s Dynamic.Fc Variability Strength (q) Significantly IncreAsed In Both aMci And Ad Group As compAred To Hcs. usIng The q Value As a meAsurement, The clAssificAtion perFOrmance ExhibI.e. a Good poWer In differentiAtIng aMci [Area Under The Curve (Auc ¼ 82.5%)] Or Ad (Auc ¼ 86.4%) From Hcs. furThermOre, We Identified Two abnOrmal BraIn Fc stAtes In The Ad Group, Of Which The Occurrence Frequency (f) ExhibI.e. a Significant decreAse FOr The First-level Fc stAte (stAte 1) And a Significant IncreAse FOr The Second-level Fc stAte (stAte 2). We Also Found thAt The abnOrmal f In These Two stAtes Significantly cOrrelAted With The CognitI.e.impairment In pAtients. These fIndIngs provI.e.The First EvI.e.ce To demonstRAte The dIsruptions Of Dynamic.BraIn Connectivity In aMci And Ad And Extend The trAditional stAtic (I.e., tI.e.averaged) Fc fIndIngs In The dIseAse (I.e., dIsconnection Syndrome) And Thus provI.e.Insights InTo UnderstAndIng The pAthophysiological mechanIsms occurrIng In aMci And Ad.  
Abnormal dynamic functional connectivity and brain states in Alzheimer's diseases: functional near-infrared spectroscopy study Journal article
Haijing Niu, Zhaojun Zhu, Mengjing Wang, Xuanyu Li, Zhen Yuan, Yu Sun, Ying Han. Abnormal dynamic functional connectivity and brain states in Alzheimer's diseases: functional near-infrared spectroscopy study[J]. NEUROPHOTONICS, 2019, 6(2).
Authors:  Haijing Niu;  Zhaojun Zhu;  Mengjing Wang;  Xuanyu Li;  Zhen Yuan; et al.
Favorite | TC[WOS]:32 TC[Scopus]:32  IF:4.8/4.3 | Submit date：2020/06/24
Resting State  Functional Connectivity  Sliding-window  K-means Clustering  Brain Network  Alzheimer's Disease