After receiving a PhD from the Institute of Automation at the University of Chinese Academy of Sciences in 2013, Dr. Du ever worked as a postdoctoral fellow and then PI research scientist at the Mind Research Network from 2013 to 2018. Currently, she is a professor in the Computer and Information Technology School of Shanxi University. Dr. Du has made substantial contributions to the field of neuroscience. Specifically, Dr. Du’s specialized research has focused on utilizing neuroimaing data to identify biomarkers for a variety of brain disorders. Dr. Du’s strong background in information engineering, pattern recognition and neuroscience has allowed her research to be particularly original, with applications such as identifying biomarkers from brain functional networks in order to benefit the understanding and the diagnosis of brain disorders. Dr. Du’s work has resulted in 60 peer-reviewed scientific articles. Her work has been published in some of the most prestigious, high impact journals such as NeuroImage and Human Brain Mapping in her field. Dr. Du is particularly well-known for her technique that allows for group ICA analysis of fMRI data. She sets out to address the main limitation of ICA, which is that components are not comparable across subjects. She developed a method known as group information guided ICA (GIG-ICA) that utilizes a multiple-objective function optimization in order to study cross-subject correspondence while simultaneously allowing for the independence of components. GIG-ICA has been incorporated into the GIFT software, which enjoys widespread use throughout the field. Moreover, Dr. Du’s body of work has been referenced 3958 times, exemplifying the influence Dr. Du has had as a researcher. According to Clarivate Analytics, her 2016 Schizophrenia Research article, “Interaction among subsystems within default mode network diminished in schizophrenia patients: a dynamic connectivity approach,” is among the top 1.00% most cited articles published in neuroscience & behavior in that publication year. Further, the fact that similarly leading periodicals of the field have frequently requested that Dr. Du serve as a reviewer further demonstrates her presence and authority.

Google Scholar‬: https://scholar.google.com/citations?user=EbxKGlIAAAAJ&hl=en

Rresearchgate Scholar: https://www.researchgate.net/profile/Yuhui-Du-2

Part of the published papers:

1] Yuhui Du*, Songke Fang, Xingyu He, Vince D Calhoun. A survey of brain functional network extraction methods using fMRI data. Trends in Neurosciences, 2024. (IF: 14.6)

[2] Yuhui Du*, Ju Niu, Ying Xing, Bang Li, Vince D Calhoun. Neuroimage Analysis Methods and Artificial Intelligence Techniques for Reliable Biomarkers and Accurate Diagnosis of Schizophrenia: Achievements Made by Chinese Scholars Around the Past Decade. Schizophrenia Bulletin, 2024. (IF: 5.3)

[3] Yuhui Du and Yong Fan. Group information guided ICA for fMRI data analysis. NeuroImage, 2013, 69: 157-197. (IF: 6.1)

[4] Yuhui Du*, Godfrey D Pearlson, Jingyu Liu, Jing Sui, Qingbao Yu, Hao He, Eduardo Castro, Vince D Calhoun. A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders. NeuroImage, 2015, 122: 272-280. (IF: 5.4)

[5] Yuhui Du*, Susanna L Fryer, Zening Fu, Dongdong Lin, Jing Sui, Jiayu Chen, Eswar Damaraju, Eva Mennigen, Barbara Stuart, Rachel L Loewy, Daniel H, Mathalon & Vince D, Calhoun. Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. NeuroImage, 2018: 632-645. (IF: 5.8)

[6] Yuhui Du*, Godfrey D Pearlson, Qingbao Yu, Hao He, Dongdong Lin, Jing Sui, Lei Wu, Vince D Calhoun. Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approach. Schizophrenia Research, 2016, 170(1): 55-65. (IF: 3.9)

[7] Yuhui Du*, Zening Fu, Ying Xing, Dongdong Lin, Godfrey Pearlson, Peter Kochunov, L Elliot Hong, Shile Qi, Mustafa Salman, Anees Abrol, Vince D Calhoun. Evidence of shared and distinct functional and structural brain signatures in schizophrenia and autism spectrum disorder. Communications Biology, 2021, 4(1): 1-16. (IF: 6.5)

[8] Yuhui Du*, Elena A Allen, Hao He, Jing Sui, Lei Wu, Vince D Calhoun. Artifact removal in the context of group ICA: A comparison of single‐subject and group approaches. Human Brain Mapping, 2016, 37(3): 1005-1025. (IF: 4.5)

[9] Yuhui Du*, Godfrey D Pearlson, Dongdong Lin, Jing Sui, Jiayu Chen, Mustafa Salman, Carol A, Tamminga, Elena I, Ivleva, John A, Sweeney, Matcheri S, Keshavan, Brett A, Clementz, Juan Bustillo, Vince D, Calhoun. Identifying dynamic functional connectivity biomarkers using GIG‐ICA: Application to schizophrenia, schizoaffective disorder, and psychotic bipolar disorder. Human Brain Mapping, 2017, 38(5): 2683-2708. (IF: 4.9)

[10] Yuhui Du*, Xingyu He, Peter Kochunov, Godfrey Pearlson, L Elliot Hong, Theo G M van Erp, Aysenil Belger, Vince D Calhoun. A new multimodality fusion classification approach to explore the uniqueness of schizophrenia and autism spectrum disorder. Human Brain Mapping, 2022, 43(12): 3887-3903. (IF: 4.8)

[11] Yuhui Du*, Zening Fu, Vince D Calhoun. Classification and prediction of brain disorders using functional connectivity: promising but challenging. Frontiers in Neuroscience, 2018, 12: 525. (IF: 3.6)

[12] Yuhui Du*, Dongdong Lin, Jing Sui, Jiayu Chen, Qingbao Yu, Tulay Adali, Vince D, Calhoun. Comparison of IVA and GIG-ICA in brain functional network estimation using fMRI data. Frontiers in Neuroscience, 2017, 11: 267. (IF: 3.8)

[13] Yuhui Du*, Yanshu Kong, Xingyu He. IABC: A Toolbox for Intelligent Analysis of Brain Connectivity. NeuroInformatics, 2023. (IF: 2.7)

[14] Yuhui Du*, Zening Fu, Jing Sui, Shuang Gao, Ying Xing, Dongdong Lin, Mustafa Salman, Anees Abrol, Md Abdur Rahaman, Jiayu Chen, L, Elliot Hong, Peter Kochunov, Elizabeth A, Osuch, Vince D, Calhoun. NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders. NeuroImage: Clinical, 2020, 28: 102375. (IF: 4.8)

[15] Mustafa S Salman, Yuhui Du*, Dongdong Lin, Zening Fu, Alex Fedorova, Eswar Damaraju, Jing Sui, Jiayu Chen, Andrew Mayer, Stefan Posse, Daniel Mathalon, Judith M, Ford, Theodorus Van Erp, Vince D, Calhoun. Group ICA for Identifying biomarkers in schizophrenia: 'adaptive'networks via spatially constrained ICA show more sensitivity to group differences than spatio-temporal regression. NeuroImage: Clinical, 2019, 22: 101747. (IF: 4.3)

[16] Yuhui Du*, Susanna L Fryer, Dongdong Lin, Jing Sui, Qingbao Yu, Jiayu Chen, Barbara Stuart, Rachel L, Loewy, Vince D Calhoun, Daniel H Mathalon. Identifying functional network changing patterns in individuals at clinical high-risk for psychosis and patients with early illness schizophrenia: A group ICA study. NeuroImage: Clinical, 2018, 17: 335-346. (IF: 3.9)

[17] Yuhui Du*, Hui Hao, Shuhua Wang, Godfrey D Pearlson, Vince D, Calhoun. Identifying commonality and specificity across psychosis sub-groups via classification based on features from dynamic connectivity analysis. NeuroImage: Clinical, 2020, 27: 102284. (IF: 4.8)

[18] Ying Xing, Peter Kochunov, Theo G M van Erp, Tianzhou Ma, Vince D Calhoun, Yuhui Du*. A novel neighborhood rough set-based feature selection method and its application to biomarker identification of schizophrenia. IEEE Journal of Biomedical and Health Informatics, 2022, 27(1): 215-226. (IF: 7.7)

[19] Ang Li, Andrew Zalesky, Weihua Yue, Oliver Howes, Hao Yan, Yong Liu, Lingzhong Fan, Kirstie J Whitaker, Kaibin Xu, Guangxiang Rao, Jin Li, Shu Liu, Meng Wang, Yuqing Sun, Ming Song, Peng Li, Jun Chen, Yunchun Chen, Huaning Wang, Wenming Liu, Zhigang Li, Yongfeng Yang, Hua Guo, Ping Wan, Luxian Lv, Lin Lu, Jun Yan, Yuqing Song, Huiling Wang, Hongxing Zhang, Huawang Wu, Yuping Ning, Yuhui Du, Yuqi Cheng, Jian Xu, Xiufeng Xu, Dai Zhang, Xiaoqun Wang, Tianzi Jiang, Bing Liu. A neuroimaging biomarker for striatal dysfunction in schizophrenia. Nature Medicine, 2020: 1-8, . (IF: 53.440)

[20] Anees Abrol, Zening Fu, Mustafa Salman, Rogers Silva, Yuhui Du, Sergey Plis, Vince Calhoun. Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning. Nature communications, 2021, 12(1): 1-17. (IF: 17.694)

[21] Jing Sui, Shile Qi, Theo van Erp, Juan Bustillo, Rongtao Jiang, Dongdong Lin, Jessica Turner, Eswar Damaraju, Andy Mayer, Yue Cui, Zening Fu, Yuhui Du, Jiayu Chen, Steven Potkin, Adrian Preda, Daniel H, Mathalon, Judith Ford, James Voyvodic, Bryon A, Mueller, Aysenil Belger, Sarah C, McEwen, O'Leary Daniel S, Agnes McMahon, Tianzi Jiang, and Vince Calhoun. Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion. Nature Communications, 2018, 9(1): 3028. (IF: 11.878)

[22] Shile Qi, Jing Sui, Godfrey Pearlson, Juan Bustillo, Nora I Perrone-Bizzozero, Peter Kochunov, Jessica A Turner, Zening Fu, Wei Shao, Rongtao Jiang, Xiao Yang, Jingyu Liu, Yuhui Du, Jiayu Chen, Daoqiang Zhang & Vince D Calhoun. Derivation and utility of schizophrenia polygenic risk associated multimodal MRI frontotemporal network. Nature Communications, 2022, 13(1): 4929. (IF: 16.6)

[23] Yuhui Du, Yating Guo, Vince D Calhoun. Aging brain shows joint declines in brain within-network connectivity and between-network connectivity: a large-sample study (N > 6000). Frontiers in Aging Neuroscience, 2023, 15: 1159054. (IF: 4.1)

[24] Xingyu He, Vince Calhoun, Yuhui Du*. SMART (splitting-merging assisted reliable) Independent Component Analysis for Extracting Accurate Brain Functional Networks. Neuroscience Bulletin, 2024: 1-16. (IF: 5.9)

[25] Ying Xing, Theo G M van Erp, Godfrey D Pearlson, Peter Kochunov, Vince D Calhoun, Yuhui Du*. More reliable biomarkers and more accurate prediction for mental disorders using a label-noise filtering-based dimensional prediction method. iScience, 2024. (IF: 4.6)

[26] Yuhui Du*, Zhen Yuan, Jing Sui, Vince D Calhoun. Common and unique brain aging patterns between females and males quantified by large-scale deep learning. Human Brain Mapping, 2024. (IF: 3.5)

[27] Ju Niu, Yuhui Du*. Joint Consensus Kernel Learning and Adaptive Hypergraph Regularization for Graph-based Clustering. Information Sciences, 2024 (IF: 8.1)

[28] Songke Fang, Vince D. Calhoun, Godfrey Pearlson, Peter Kochunov, Theo G.M. van Erp, and Yuhui Du*. A Model Order-Free Method for Stable States Extraction in Dynamic Functional Connectivity. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025

[29] Xingyu He, Vince D. Calhoun, Theo G.M. van Erp, and Yuhui Du*. Multi-subject Orthogonal Sparse Matrix Decomposition Method for Extracting Individual Brain Functional Networks. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025

[30] Ying Xing, Godfrey D. Pearlson, Peter Kochunov, Vince D. Calhoun, Yuhui Du*. A prior-knowledge guided feature selection method and its application to biomarker identification of schizophrenia. Network Neuroscience, 2025

[31] Yuhui Du*, Zheng Wang, Ju Niu, Yulong Wang, Godfrey D. Pearlson, and Vince D. Calhoun. Mutualistic Multi-Network Noisy Label Learning (MMNNLL) Method and Its Application to Transdiagnostic Classification of Bipolar Disorder and Schizophrenia. IEEE TMI, 2025