about
Exploring the psychosis functional connectome: aberrant intrinsic networks in schizophrenia and bipolar disorderState-related functional integration and functional segregation brain networks in schizophrenia.Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model.Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophreniaBrain connectivity networks in schizophrenia underlying resting state functional magnetic resonance imaging.Combination of Resting State fMRI, DTI, and sMRI Data to Discriminate Schizophrenia by N-way MCCA + jICAFunction-structure associations of the brain: evidence from multimodal connectivity and covariance studiesAssessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia.Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection.Discriminating Bipolar Disorder From Major Depression Based on SVM-FoBa: Efficient Feature Selection With Multimodal Brain Imaging Data.Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data.Multimodal fusion of brain imaging data: A key to finding the missing link(s) in complex mental illness.Multimodal Classification of Schizophrenia Patients with MEG and fMRI Data Using Static and Dynamic Connectivity Measures.A CCA+ICA based model for multi-task brain imaging data fusion and its application to schizophreniaComparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI DataIdentification of genetic and epigenetic marks involved in population structure.A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia.Characterization of groups using composite kernels and multi-source fMRI analysis data: application to schizophrenia.Altered topological properties of functional network connectivity in schizophrenia during resting state: a small-world brain network studyA review of multivariate methods for multimodal fusion of brain imaging dataA selective review of multimodal fusion methods in schizophrenia.Altered small-world brain networks in schizophrenia patients during working memory performance.Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia.An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques.Source-based morphometry analysis of group differences in fractional anisotropy in schizophrenia.Modular Organization of Functional Network Connectivity in Healthy Controls and Patients with Schizophrenia during the Resting State.In search of multimodal neuroimaging biomarkers of cognitive deficits in schizophrenia.A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders.Resting-state functional network connectivity in prefrontal regions differs between unmedicated patients with bipolar and major depressive disorders.Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approach.Disrupted correlation between low frequency power and connectivity strength of resting state brain networks in schizophrenia.Identification of imaging biomarkers in schizophrenia: a coefficient-constrained independent component analysis of the mind multi-site schizophrenia study.CREB-BDNF pathway influences alcohol cue-elicited activation in drinkersGuided exploration of genomic risk for gray matter abnormalities in schizophrenia using parallel independent component analysis with reference.Building an EEG-fMRI Multi-Modal Brain Graph: A Concurrent EEG-fMRI Study.A method for accurate group difference detection by constraining the mixing coefficients in an ICA framework.High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia.Comparing brain graphs in which nodes are regions of interest or independent components: A simulation study.SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets.
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P50
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wetenschapper
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հետազոտող
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Jing Sui
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Jing Sui
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Jing Sui
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Jing Sui
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Jing Sui
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Jing Sui
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Jing Sui
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Jing Sui
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Jing Sui
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Jing Sui
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Jing Sui
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Jing Sui
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P106
P1153
16025707200
P2456
P2798
P31
P496
0000-0001-6837-5966