Cargando…

Corrigendum: Discriminative analysis of schizophrenia patients using graph convolutional networks: a combined multimodal MRI and connectomics analysis

Detalles Bibliográficos
Autores principales:	Chen, Xiaoyi, Ke, Pengfei, Huang, Yuanyuan, Zhou, Jing, Li, Hehua, Peng, Runlin, Huang, Jiayuan, Liang, Liqin, Ma, Guolin, Li, Xiaobo, Ning, Yuping, Wu, Fengchun, Wu, Kai
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280163/ https://www.ncbi.nlm.nih.gov/pubmed/37346088 http://dx.doi.org/10.3389/fnins.2023.1228322

Ejemplares similares

Discriminative analysis of schizophrenia patients using graph convolutional networks: A combined multimodal MRI and connectomics analysis
por: Chen, Xiaoyi, et al.
Publicado: (2023)

Multimodal Magnetic Resonance Imaging Reveals Aberrant Brain Age Trajectory During Youth in Schizophrenia Patients
por: Huang, Jiayuan, et al.
Publicado: (2022)

Effects of Brain Atlases and Machine Learning Methods on the Discrimination of Schizophrenia Patients: A Multimodal MRI Study
por: Zang, Jinyu, et al.
Publicado: (2021)

Discriminative Analysis of Schizophrenia Patients Using Topological Properties of Structural and Functional Brain Networks: A Multimodal Magnetic Resonance Imaging Study
por: Wang, Jing, et al.
Publicado: (2022)

Analysis of Connectome Graphs Based on Boundary Scale
por: Moron-Fernández, María José, et al.
Publicado: (2023)

Multimodal Brain Connectomics-Based Prediction of Parkinson’s Disease Using Graph Attention Networks
por: Safai, Apoorva, et al.
Publicado: (2022)

Diagnosis of schizophrenia with functional connectome data: a graph-based convolutional neural network approach
por: Oh, Kang-Han, et al.
Publicado: (2022)

Micapipe: A pipeline for multimodal neuroimaging and connectome analysis
por: Cruces, Raúl R., et al.
Publicado: (2022)

Correction to: Diagnosis of schizophrenia with functional connectome data: a graph-based convolutional neural network approach
por: Oh, Kang-Han, et al.
Publicado: (2022)

Multimodal Mapping of the Face Connectome
por: Wang, Yin, et al.
Publicado: (2020)

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
por: Said, Anwar, et al.
Publicado: (2023)

GRETNA: a graph theoretical network analysis toolbox for imaging connectomics
por: Wang, Jinhui, et al.
Publicado: (2015)

Author Correction: The gut microbiome is associated with brain structure and function in schizophrenia
por: Li, Shijia, et al.
Publicado: (2021)

The gut microbiome is associated with brain structure and function in schizophrenia
por: Li, Shijia, et al.
Publicado: (2021)

GCMM: graph convolution network based on multimodal attention mechanism for drug repurposing
por: Zhang, Fan, et al.
Publicado: (2022)

Mass spectrometry-based multimodal approaches for the identification and quantification analysis of microplastics in food matrix
por: Wu, Pengfei, et al.
Publicado: (2023)

Graph analysis of diffusion tensor imaging-based connectome in young men with internet gaming disorder
por: Qin, Jiaolong, et al.
Publicado: (2023)

Corrigendum: GRETNA: a graph theoretical network analysis toolbox for imaging connectomics
por: Wang, Jinhui, et al.
Publicado: (2015)

Graph Theoretic Analysis of Brain Connectomics in Multiple Sclerosis: Reliability and Relationship with Cognition
por: Welton, Thomas, et al.
Publicado: (2020)

Graph Theoretical Model of a Sensorimotor Connectome in Zebrafish
por: Stobb, Michael, et al.
Publicado: (2012)

An automated images-to-graphs framework for high resolution connectomics
por: Gray Roncal, William R., et al.
Publicado: (2015)

Structural and functional brain abnormalities in drug-naive, first-episode, and chronic patients with schizophrenia: a multimodal MRI study
por: Wu, Fengchun, et al.
Publicado: (2018)

MiRNA-Drug Resistance Association Prediction Through the Attentive Multimodal Graph Convolutional Network
por: Niu, Yanqing, et al.
Publicado: (2022)

Analysis of EEG features and study of automatic classification in first-episode and drug-naïve patients with major depressive disorder
por: Huang, Yuanyuan, et al.
Publicado: (2023)

Association between plasma homocysteine levels and cognitive deficits in Han Chinese patients with schizophrenia across age groups
por: Zhou, Sumiao, et al.
Publicado: (2021)

Kynurenine pathway metabolites are associated with gray matter volume in subjects with schizophrenia
por: Zhou, Sumiao, et al.
Publicado: (2022)

Multimodal image registration and connectivity analysis for integration of connectomic data from microscopy to MRI
por: Goubran, Maged, et al.
Publicado: (2019)

Mapping the multimodal connectome: On the architects of brain network science
por: Collin, Guusje, et al.
Publicado: (2023)

Connectome: Graph theory application in functional brain network architecture
por: Vecchio, Fabrizio, et al.
Publicado: (2017)

Guided graph spectral embedding: Application to the C. elegans connectome
por: Petrovic, Miljan, et al.
Publicado: (2019)

Identifying the neural network for neuromodulation in epilepsy through connectomics and graphs
por: Vetkas, Artur, et al.
Publicado: (2022)

Discriminative analysis of schizophrenia using support vector machine and recursive feature elimination on structural MRI images
por: Lu, Xiaobing, et al.
Publicado: (2016)

Brain explorer for connectomic analysis
por: Li, Huang, et al.
Publicado: (2017)

GC-MLP: Graph Convolution MLP for Point Cloud Analysis
por: Wang, Yong, et al.
Publicado: (2022)

Discrimination of alcohol dependence based on the convolutional neural network
por: Chen, Fangfang, et al.
Publicado: (2020)

Structural connectome and connectivity lateralization of the multimodal vestibular cortical network
por: Indovina, Iole, et al.
Publicado: (2020)

Multimodal connectome biomarkers of cognitive and affective dysfunction in the common epilepsies
por: Rodriguez-Cruces, Raul, et al.
Publicado: (2022)

Correction: Mapping the multimodal connectome: On the architects of brain network science
por: Collin, Guusje, et al.
Publicado: (2023)

Graph Theoretic and Motif Analyses of the Hippocampal Neuron Type Potential Connectome
por: Rees, Christopher L., et al.
Publicado: (2016)

Critical synchronization dynamics of the Kuramoto model on connectome and small world graphs
por: Ódor, Géza, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_u58250qopjhv282v1ss64oqke7