Ye Tian

Machine learning prediction of cognition from functional connectivity: Are feature weights reliable?

Ye Tian, Andrew Zalesky

Journal article  |  2021  |  Neuroimage

Cognitive performance can be predicted from an individual's functional brain connectivity with modest accuracy using machine learn..

Network Analysis of Symptom Comorbidity in Schizophrenia: Relationship to Illness Course and Brain White Matter Microstructure

Hua Ye, Andrew Zalesky, Jinglei Lv, Samantha M Loi, Suheyla Cetin-Karayumak, Yogesh Rathi, Ye Tian, Christos Pantelis, Maria Di Biase

Journal article  |  2021  |  Biological Psychiatry

Brain-Predicted Age Associates With Psychopathology Dimensions in Youths

Vanessa L Cropley, Ye Tian, Kavisha Fernando, L Sina Mansour, Christos Pantelis, Luca Cocchi, Andrew Zalesky

Journal article  |  2021  |  BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING

BACKGROUND: This study aimed to investigate whether dimensional constructs of psychopathology relate to variation in patterns of b..

High-resolution connectomic fingerprints: Mapping neural identity and behavior

Sina L Mansour, Ye Tian, BT Thomas Yeo, Vanessa Cropley, Andrew Zalesky

Journal article  |  2021  |  NEUROIMAGE

Connectomes are typically mapped at low resolution based on a specific brain parcellation atlas. Here, we investigate high-resolut..

Network Analysis of Symptom Comorbidity in Schizophrenia: Relationship to Illness Course and Brain White Matter Microstructure

Hua Ye, Andrew Zalesky, Jinglei Lv, Samantha M Loi, Suheyla Cetin-Karayumak, Yogesh Rathi, Ye Tian, Christos Pantelis, Maria A Di Biase

Journal article  |  2021  |  Schizophrenia Bulletin

INTRODUCTION: Recent network-based analyses suggest that schizophrenia symptoms are intricately connected and interdependent, such..

Structure-function coupling in the human connectome: A machine learning approach

T Sarwar, Y Tian, BTT Yeo, K Ramamohanarao, A Zalesky

Journal article  |  2021  |  NEUROIMAGE

While the function of most biological systems is tightly constrained by their structure, current evidence suggests that coupling b..

Sparse coupled logistic regression to estimate co-activation and modulatory influences of brain regions

Thomas AW Bolton, Eneko Urunuela, Ye Tian, Andrew Zalesky, Cesar Caballero-Gaudes, Dimitri Van De Ville

Journal article  |  2020  |  JOURNAL OF NEURAL ENGINEERING

Accurate mapping of the functional interactions between remote brain areas with resting-state functional magnetic resonance imagin..

Network communication models improve the behavioral and functional predictive utility of the human structural connectome

Caio Seguin, Ye Tian, Andrew Zalesky

Journal article  |  2020  |  NETWORK NEUROSCIENCE

The connectome provides the structural substrate facilitating communication between brain regions. We aimed to establish whether a..

Neuromodulation effects of deep brain stimulation on beta rhythm: A longitudinal local field potential study.

Yue Chen, Chen Gong, Ye Tian, Natasza Orlov, Jianguo Zhang, Yi Guo, Shujun Xu, Changqing Jiang, Hongwei Hao, Wolf-Julian Neumann, Andrea A Kühn, Hesheng Liu, Luming Li

Journal article  |  2020  |  Brain Stimul

BACKGROUND: Deep brain stimulation (DBS) holds great promise in treating various brain diseases but its chronic therapeutic mechan..

Reconstructing lost BOLD signal in individual participants using deep machine learning.

Yuxiang Yan, Louisa Dahmani, Jianxun Ren, Lunhao Shen, Xiaolong Peng, Ruiqi Wang, Changgeng He, Changqing Jiang, Chen Gong, Ye Tian, Jianguo Zhang, Yi Guo, Yuanxiang Lin, Shijun Li, Meiyun Wang, Luming Li, Bo Hong, Hesheng Liu

Journal article  |  2020  |  Nat Commun

Signal loss in blood oxygen level-dependent (BOLD) functional neuroimaging is common and can lead to misinterpretation of findings..