2024
Multi-modal deep learning from imaging genomic data for schizophrenia classification
Kanyal A, Mazumder B, Calhoun V, Preda A, Turner J, Ford J, Ye D. Multi-modal deep learning from imaging genomic data for schizophrenia classification. Frontiers In Psychiatry 2024, 15: 1384842. PMID: 39006822, PMCID: PMC11239396, DOI: 10.3389/fpsyt.2024.1384842.Peer-Reviewed Original ResearchSingle nucleotide polymorphismsGenomic dataGenetic markersGenomic markersBrains of individualsNucleotide polymorphismsEtiology of SZFunctional magnetic resonance imagingStructural magnetic resonance imagingMorphological featuresLayerwise relevance propagationHereditary aspectsHealthy controlsMarkers
2023
Multi-Modal Deep Learning on Imaging Genetics for Schizophrenia Classification
Kanyal A, Kandula S, Calhoun V, Ye D. Multi-Modal Deep Learning on Imaging Genetics for Schizophrenia Classification. 2023, 00: 1-5. DOI: 10.1109/icasspw59220.2023.10193352.Peer-Reviewed Original ResearchSingle nucleotide polymorphismsSZ patientsFunctional network connectivityFunctional MRIStructural MRIFunctional brain connectivityGenetic markersChronic mental conditionsNucleotide polymorphismsBrain connectivity featuresDecreased hippocampalGenetic featuresSZ subjectsMorphological changesThalamic volumeBrain connectivitySZ diagnosisGenetic illnessMental conditionLayer-wise relevance propagationMorphological featuresBrainConnectivity featuresSZ