2024
Distribution of Connectivity Strengths Across Functional Regions has Higher Entropy in Schizophrenia Patients than in Controls
Maksymchuk N, Miller R, Calhoun V. Distribution of Connectivity Strengths Across Functional Regions has Higher Entropy in Schizophrenia Patients than in Controls. 2024, 00: 37-40. DOI: 10.1109/ssiai59505.2024.10508663.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingGroup independent component analysisSchizophrenia patientsCognitive controlResting-state functional magnetic resonance imagingIntrinsic connectivity networksHealthy controlsGender-matched healthy controlsSZ patientsNeuropsychiatric disordersBrain areasBrain networksSchizophreniaDisrupted integrityBrain domainsConnection strengthIndependent component analysisConnectivity networksMagnetic resonance imagingSomatomotorDistribution of connection strengthsResonance imagingCross-sectional dataPatientsDiagnostic tests
2023
Longitudinal resting-state network connectivity changes in electroconvulsive therapy patients compared to healthy controls
Verdijk J, van de Mortel L, Doesschate F, Pottkämper J, Stuiver S, Bruin W, Abbott C, Argyelan M, Ousdal O, Bartsch H, Narr K, Tendolkar I, Calhoun V, Lukemire J, Guo Y, Oltedal L, van Wingen G, van Waarde J. Longitudinal resting-state network connectivity changes in electroconvulsive therapy patients compared to healthy controls. Brain Stimulation 2023, 17: 140-147. PMID: 38101469, PMCID: PMC11145948, DOI: 10.1016/j.brs.2023.12.005.Peer-Reviewed Original ResearchDefault mode networkElectroconvulsive therapyHealthy controlsECT patientsResting-state networksTreatment effectivenessSalience networkElectroconvulsive therapy patientsWhole-brain voxel-wise analysisMajor depressive episodeCanonical resting-state networksRight frontoparietal networkVoxel-wise changesHigh treatment effectivenessVoxel-wise analysisNetwork connectivity changesTest-retest variabilityMulticenter studyDepressive episodeDepressed patientsTherapy patientsMagnetic resonance imaging dataDMN connectivityPatientsConnectivity changesMulti-study evaluation of neuroimaging-based prediction of medication class in mood disorders
Salman M, Verner E, Bockholt H, Fu Z, Misiura M, Baker B, Osuch E, Sui J, Calhoun V. Multi-study evaluation of neuroimaging-based prediction of medication class in mood disorders. Psychiatry Research Neuroimaging 2023, 333: 111655. PMID: 37201216, PMCID: PMC10330565, DOI: 10.1016/j.pscychresns.2023.111655.Peer-Reviewed Original ResearchConceptsMood stabilizersMood disordersDSM-based diagnosesBipolar disorder patientsDepressive disorderDisorder patientsManic stateResponders to treatmentDepressive stateNeuroimaging dataMoodTreatment responseAntidepressantsDisordersDSMMedication classesComplex symptomsGold standardPatientsMDDSupport vector machineDiagnosisTreatmentComplex casesGeneralizability