Follow
Yuhui Du
Title
Cited by
Cited by
Year
Group information guided ICA for fMRI data analysis
Y Du, Y Fan
Neuroimage 69, 157-197, 2013
2402013
Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia
Q Yu, EB Erhardt, J Sui, Y Du, H He, D Hjelm, MS Cetin, S Rachakonda, ...
Neuroimage 107, 345-355, 2015
1882015
Interaction among subsystems within default mode network diminished in schizophrenia patients: a dynamic connectivity approach
Y Du, GD Pearlson, Q Yu, H He, D Lin, J Sui, L Wu, VD Calhoun
Schizophrenia research 170 (1), 55-65, 2016
1672016
Classification and prediction of brain disorders using functional connectivity: promising but challenging
Y Du, Z Fu, VD Calhoun
Frontiers in neuroscience 12, 525, 2018
1612018
In search of multimodal neuroimaging biomarkers of cognitive deficits in schizophrenia
J Sui, GD Pearlson, Y Du, Q Yu, TR Jones, J Chen, T Jiang, J Bustillo, ...
Biological psychiatry 78 (11), 794-804, 2015
1422015
Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: an application to schizophrenia
Z Fu, Y Tu, X Di, Y Du, GD Pearlson, JA Turner, BB Biswal, Z Zhang, ...
Neuroimage 180, 619-631, 2018
1292018
A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders
Y Du, GD Pearlson, J Liu, J Sui, Q Yu, H He, E Castro, VD Calhoun
Neuroimage 122, 272-280, 2015
1112015
Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion
J Sui, S Qi, TGM van Erp, J Bustillo, R Jiang, D Lin, JA Turner, ...
Nature communications 9 (1), 1-14, 2018
1092018
Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis
Y Du, SL Fryer, Z Fu, D Lin, J Sui, J Chen, E Damaraju, E Mennigen, ...
Neuroimage 180, 632-645, 2018
1042018
Artifact removal in the context of group ICA: A comparison of single‐subject and group approaches
Y Du, EA Allen, H He, J Sui, L Wu, VD Calhoun
Human brain mapping 37 (3), 1005-1025, 2016
972016
Aberrant dynamic functional network connectivity and graph properties in major depressive disorder
D Zhi, VD Calhoun, L Lv, X Ma, Q Ke, Z Fu, Y Du, Y Yang, X Yang, M Pan, ...
Frontiers in psychiatry 9, 339, 2018
902018
A neuroimaging biomarker for striatal dysfunction in schizophrenia
A Li, A Zalesky, W Yue, O Howes, H Yan, Y Liu, L Fan, KJ Whitaker, K Xu, ...
Nature Medicine 26 (4), 558-565, 2020
842020
Resting-state functional network connectivity in prefrontal regions differs between unmedicated patients with bipolar and major depressive disorders
H He, Q Yu, Y Du, V Vergara, TA Victor, WC Drevets, JB Savitz, T Jiang, ...
Journal of affective disorders 190, 483-493, 2016
832016
Altered static and dynamic functional network connectivity in Alzheimer's disease and subcortical ischemic vascular disease: shared and specific brain connectivity abnormalities
Z Fu, A Caprihan, J Chen, Y Du, JC Adair, J Sui, GA Rosenberg, ...
Human Brain Mapping 40 (11), 3203-3221, 2019
812019
Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data
X Meng, R Jiang, D Lin, J Bustillo, T Jones, J Chen, Q Yu, Y Du, Y Zhang, ...
Neuroimage 145, 218-229, 2017
802017
Identifying dynamic functional connectivity biomarkers using GIG‐ICA: Application to schizophrenia, schizoaffective disorder, and psychotic bipolar disorder
Y Du, GD Pearlson, D Lin, J Sui, J Chen, M Salman, CA Tamminga, ...
Human brain mapping 38 (5), 2683-2708, 2017
772017
NeuroMark: an automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders
Y Du, Z Fu, J Sui, S Gao, Y Xing, D Lin, M Salman, A Abrol, MA Rahaman, ...
NeuroImage: Clinical, 102375, 2020
722020
Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism
Z Fu, Y Tu, X Di, Y Du, J Sui, BB Biswal, Z Zhang, N de Lacy, VD Calhoun
Neuroimage 190, 191-204, 2019
712019
Deep residual learning for neuroimaging: An application to predict progression to alzheimer’s disease
A Abrol, M Bhattarai, A Fedorov, Y Du, S Plis, V Calhoun, ...
Journal of Neuroscience Methods, 108701, 2020
682020
Group ICA for identifying biomarkers in schizophrenia:‘Adaptive’networks via spatially constrained ICA show more sensitivity to group differences than spatio-temporal regression
MS Salman, Y Du, D Lin, Z Fu, A Fedorov, E Damaraju, J Sui, J Chen, ...
NeuroImage: Clinical 22, 101747, 2019
582019
The system can't perform the operation now. Try again later.
Articles 1–20