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Neuroscience

D-Index
62
Citations
13381
World Ranking
3533
National Ranking
45

Overview

Jing Sui is affiliated with Beijing Normal University in China and conducts research primarily in the fields of neuroscience and medicine. Their work focuses on cognitive neuroscience, radiology, nuclear medicine and imaging, psychiatry and mental health, experimental and cognitive psychology, and electrical and electronic engineering.

The research topics covered by Jing Sui include:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Mental Health Research Topics
  • Neural Dynamics and Brain Function
  • EEG and Brain-Computer Interfaces
  • Schizophrenia Research and Treatment
  • Attention Deficit Hyperactivity Disorder

Among the recent publications authored or co-authored by Jing Sui are:

  • Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health, 2020, Biological Psychiatry
  • NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders, 2020, NeuroImage Clinical
  • A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity, 2021, IEEE Transactions on Medical Imaging
  • Dual-active-site hierarchical architecture containing NiFe-LDH and ZIF-derived carbon-based framework composite as efficient bifunctional oxygen electrocatalysts for durable rechargeable Zn-air batteries, 2020, Chemical Engineering Journal
  • Associations between grip strength, brain structure, and mental health in > 40,000 participants from the UK Biobank, 2022, BMC Medicine

The frequent co-authors collaborating with Jing Sui include:

  • Vince D. Calhoun
  • Zening Fu
  • Rongtao Jiang
  • Shile Qi
  • Dongmei Zhi

Jing Sui's work has been published frequently in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biological Psychiatry
  • Human Brain Mapping
  • SSRN Electronic Journal
  • Cerebral Cortex

Best Publications

  • Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.

    Mohammad R. Arbabshirani;Sergey M. Plis;Jing Sui;Vince D. Calhoun

  • Multimodal Fusion of Brain Imaging Data: A Key to Finding the Missing Link(s) in Complex Mental Illness

    Vince D. Calhoun;Jing Sui

  • A review of multivariate methods for multimodal fusion of brain imaging data

    Jing Sui;Tülay Adali;Qingbao Yu;Jiayu Chen

  • NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders

    Yuhui Du;Yuhui Du;Zening Fu;Jing Sui;Jing Sui;Shuang Gao;Shuang Gao

  • Machine learning in major depression: From classification to treatment outcome prediction.

    Shuang Gao;Vince D. Calhoun;Vince D. Calhoun;Jing Sui

  • Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises.

    Jing Sui;Rongtao Jiang;Juan Bustillo;Vince Calhoun

  • Exploring the Psychosis Functional Connectome: Aberrant Intrinsic Networks in Schizophrenia and Bipolar Disorder

    Vince D Calhoun;Vince D Calhoun;Jing Sui;Kent Kiehl;Kent Kiehl;Jessica A Turner

  • Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model.

    Jing Sui;Godfrey D. Pearlson;Arvind Caprihan;Tülay Adali

  • Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia.

    Qingbao Yu;Erik B. Erhardt;Jing Sui;Yuhui Du

  • A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia

    Honghui Yang;Honghui Yang;Jingyu Liu;Jingyu Liu;Jing Sui;Jing Sui;Godfrey Pearlson

  • Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approach.

    Yuhui Du;Yuhui Du;Godfrey D. Pearlson;Qingbao Yu;Hao He

  • In search of multimodal neuroimaging biomarkers of cognitive deficits in schizophrenia.

    Jing Sui;Jing Sui;Godfrey D. Pearlson;Yuhui Du;Qingbao Yu

  • Function-structure associations of the brain: Evidence from multimodal connectivity and covariance studies

    Jing Sui;René J. Huster;Qingbao Yu;Judith M. Segall

  • Altered static and dynamic functional network connectivity in Alzheimer's disease and subcortical ischemic vascular disease: shared and specific brain connectivity abnormalities

    Zening Fu;Arvind Caprihan;Jiayu Chen;Yuhui Du;Yuhui Du

  • Brain connectivity networks in schizophrenia underlying resting state functional magnetic resonance imaging

    Qingbao Yu;Elena A. Allen;Elena A. Allen;Jing Sui;Mohammad R. Arbabshirani;Mohammad R. Arbabshirani

  • Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion

    Jing Sui;Shile Qi;Theo G.M. van Erp;Juan Bustillo

  • Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data

    Weizheng Yan;Vince Calhoun;Ming Song;Yue Cui

  • Altered topological properties of functional network connectivity in schizophrenia during resting state: a small-world brain network study.

    Qingbao Yu;Jing Sui;Srinivas Rachakonda;Hao He;Hao He

  • A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity

    Dongren Yao;Jing Sui;Mingliang Wang;Erkun Yang

  • Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder.

    Dongmei Zhi;Vince D. Calhoun;Luxian Lv;Xiaohong Ma

  • A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders.

    Yuhui Du;Yuhui Du;Godfrey D. Pearlson;Jingyu Liu;Jingyu Liu;Jing Sui;Jing Sui

  • Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophrenia

    Jing Sui;Hao He;Godfrey D. Pearlson;Tülay Adali

Frequent Co-Authors

Vince D. Calhoun
Vince D. Calhoun Georgia State University
Godfrey D. Pearlson
Godfrey D. Pearlson Yale University
Jessica A. Turner
Jessica A. Turner The Ohio State University
Tianzi Jiang
Tianzi Jiang Chinese Academy of Sciences
Juan R. Bustillo
Juan R. Bustillo University of New Mexico
Daniel H. Mathalon
Daniel H. Mathalon University of California, San Francisco
Tulay Adali
Tulay Adali University of Maryland, Baltimore County
Kent A. Kiehl
Kent A. Kiehl University of New Mexico
Vincent P. Clark
Vincent P. Clark University of New Mexico
Bryon A. Mueller
Bryon A. Mueller University of Minnesota

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