2024
Brain networks and intelligence: A graph neural network based approach to resting state fMRI data
Thapaliya B, Akbas E, Chen J, Sapkota R, Ray B, Suresh P, Calhoun V, Liu J. Brain networks and intelligence: A graph neural network based approach to resting state fMRI data. Medical Image Analysis 2024, 101: 103433. PMID: 37986729, PMCID: PMC10659448, DOI: 10.1016/j.media.2024.103433.Peer-Reviewed Original ResearchGraph neural networksNeural networkGraph isomorphism networkGraph convolutional layersGraph convolutional networkMachine learning modelsMean square errorNetwork connectivity matrixCognitive processesConvolutional layersConvolutional networkPrediction taskModel architectureGraph architectureAdolescent Brain Cognitive Development datasetResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingLearning modelsMiddle frontal gyrusPredicting individual differencesResting state fMRI dataPredictive intelligenceIntelligenceNetworkFunctional network connectivity matrices
2023
Group independent components underpin responses to items from a depression scale.
Stoyanov D, Khorev V, Paunova R, Kandilarova S, Kurkin S, Calhoun V. Group independent components underpin responses to items from a depression scale. Acta Neuropsychiatrica 2023, 36: 9-16. PMID: 37088536, DOI: 10.1017/neu.2023.22.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingGroup independent component analysisSelf-evaluation scaleFrontal gyrusCingulate cortexDepression ScaleRight superior frontal gyrusFunctional magnetic resonance imaging acquisitionHealthy controlsRight middle cingulate cortexAnterior cingulate cortexMiddle frontal gyrusSuperior frontal gyrusMiddle cingulate cortexIndependent component analysisGroup independent componentStatistical parametric mappingDepressive disorderDepressive episodeBrain circuitsBrain networksNeural network patternsDiagnostic conditionsParametric mappingGyrus