Kaizhong Zheng

National Key Laboratory Of Human Machine Hybrid Augmented Intelligence
Xi'an, China

Last Updated: 09/26/2026

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Found 11 publications

Brain contrastive modeling reveals depression subtypes with distinct treatment response and progression.

Brain contrastive modeling reveals depression subtypes with distinct treatment response and progression.

Journal: NPJ digital medicine

Published: February 11, 2026

Beyond depression symptoms: the default mode network as a predictor of antidepressant response.

Beyond depression symptoms: the default mode network as a predictor of antidepressant response.

Journal: Npj mental health research

Published: August 20, 2025

Functional connectivity-based classification and subtyping of major depression for precision mental health: An ensemble graph neural network approach.

Functional connectivity-based classification and subtyping of major depression for precision mental health: An ensemble graph neural network approach.

Journal: PLOS digital health

Published: August 18, 2025

BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping.

BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping.

Journal: NeuroImage

Published: November 03, 2023

Large-scale effective connectivity analysis reveals the existence of two mutual inhibitory systems in patients with major depression.

Large-scale effective connectivity analysis reveals the existence of two mutual inhibitory systems in patients with major depression.

Journal: NeuroImage. Clinical

Published: October 23, 2023

CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis.

CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis.

Journal: Neural networks : the official journal of the International Neural Network Society

Published: January 03, 2023

Aberrant temporal-spatial complexity of intrinsic fluctuations in major depression.

Aberrant temporal-spatial complexity of intrinsic fluctuations in major depression.

Journal: European archives of psychiatry and clinical neuroscience

Published: July 29, 2021

Causal Interactions Between the Default Mode Network and Central Executive Network in Patients with Major Depression.

Causal Interactions Between the Default Mode Network and Central Executive Network in Patients with Major Depression.

Journal: Neuroscience

Published: March 14, 2021

Quantitative Identification of Major Depression Based on Resting-State Dynamic Functional Connectivity: A Machine Learning Approach.

Quantitative Identification of Major Depression Based on Resting-State Dynamic Functional Connectivity: A Machine Learning Approach.

Journal: Frontiers in neuroscience

Published: September 25, 2019

Structural networks analysis for depression combined with graph theory and the properties of fiber tracts via diffusion tensor imaging.

Structural networks analysis for depression combined with graph theory and the properties of fiber tracts via diffusion tensor imaging.

Journal: Neuroscience letters

Published: March 22, 2018

Radiomics Strategy for Molecular Subtype Stratification of Lower-Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI.

Radiomics Strategy for Molecular Subtype Stratification of Lower-Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI.

Journal: Journal of magnetic resonance imaging : JMRI

Published: October 31, 2017

Showing 1-11 of 11

Last Updated: 09/26/2026