ICA-based Individualized Differential Structure Similarity Networks for Predicting Symptom Scores in Adolescents with Major Depressive Disorder
Li X, Xu M, Jiang R, Li X, Calhoun V, Zhou X, Sui J. ICA-based Individualized Differential Structure Similarity Networks for Predicting Symptom Scores in Adolescents with Major Depressive Disorder. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2023, 00: 1-5. PMID: 38082692, DOI: 10.1109/embc40787.2023.10340456.Peer-Reviewed Original ResearchConceptsMajor depressive disorderGray matter volumeDepressive disorderWhole-brain structural covariance networksConnectome-based predictive modelingAdolescent MDD patientsComplex mood disorderMeasure individual differencesDefault-mode networkStructural brain alterationsStructural covariance networksHamilton Depression ScaleHamilton Anxiety ScaleSpatially constrained ICAMDD patientsMood disordersBrain alterationsMatter volumeIndividual differencesBrain structuresCovariance networksAnxiety ScaleVisual networkDepression ScaleStructure similarity networkGroup 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