2024
Consistent frontal-limbic-occipital connections in distinguishing treatment-resistant and non-treatment-resistant schizophrenia
Zhang Y, Gao S, Liang C, Bustillo J, Kochunov P, Turner J, Calhoun V, Wu L, Fu Z, Jiang R, Zhang D, Jiang J, Wu F, Peng T, Xu X, Qi S. Consistent frontal-limbic-occipital connections in distinguishing treatment-resistant and non-treatment-resistant schizophrenia. NeuroImage Clinical 2024, 45: 103726. PMID: 39700898, PMCID: PMC11721508, DOI: 10.1016/j.nicl.2024.103726.Peer-Reviewed Original ResearchNon-treatment-resistant schizophreniaTreatment-resistant schizophreniaFunctional connectivityDiagnosis of SZHealthy controlsFrontal-parietalResting-state functional connectivityAutomated anatomical labelingDysfunctional brain connectivityBrain functional connectivityAffiliated Brain Hospital of Nanjing Medical UniversityFrontal limbBrain connectivitySchizophreniaMedication dosageTreatment resistanceNeural pathwaysNanjing Medical UniversityDisease progressionMedical UniversityClinical practiceSpecific biomarkersDiagnosisAnatomical labelingNeuroimage Analysis Methods and Artificial Intelligence Techniques for Reliable Biomarkers and Accurate Diagnosis of Schizophrenia: Achievements Made by Chinese Scholars Around the Past Decade
Du Y, Niu J, Xing Y, Li B, Calhoun V. Neuroimage Analysis Methods and Artificial Intelligence Techniques for Reliable Biomarkers and Accurate Diagnosis of Schizophrenia: Achievements Made by Chinese Scholars Around the Past Decade. Schizophrenia Bulletin 2024, 51: 325-342. PMID: 38982882, PMCID: PMC11908864, DOI: 10.1093/schbul/sbae110.Peer-Reviewed Original ResearchArtificial intelligenceSemi-supervised learning methodArtificial intelligence techniquesAccurate diagnosis of SZMultimodal fusionAccurate diagnosis of schizophreniaIntelligence techniquesAI methodsLearning methodsDiagnosis of SZMental disordersSelection methodUnsupervised clusteringMagnetic resonance imagingBiomarker extractionDiagnosis of schizophrenia
2023
An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-Based Schizophrenia Diagnosis
Sattiraju A, Ellis C, Miller R, Calhoun V. An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-Based Schizophrenia Diagnosis. 2023, 00: 255-259. DOI: 10.1109/bibe60311.2023.00048.Peer-Reviewed Original ResearchConvolutional neural networkRobust deep learning approachBaseline convolutional neural networkChannel lossDeep learning methodsDeep learning modelsDeep learning approachDecision support roleExplainability approachesClassifier performanceRobust modelNeural networkExplainable modelsLearning methodsLearning approachLearning modelsAutomated diagnosisImplementation environmentEEG dataDiagnosis of SZExplainabilityRaw EEGTest dataRobustnessBiomarkers of SZ
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