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 changesTransdiagnostic indicators predict developmental changes in cognitive control resting-state networks.
Picci G, Petro N, Son J, Agcaoglu O, Eastman J, Wang Y, Stephen J, Calhoun V, Taylor B, Wilson T. Transdiagnostic indicators predict developmental changes in cognitive control resting-state networks. Development And Psychopathology 2023, 36: 1-11. PMID: 37615120, PMCID: PMC11140239, DOI: 10.1017/s0954579423001013.Peer-Reviewed Original ResearchResting-state networksExposure to childhood traumaLatent growth curve analysisResting-state fMRI studiesResting-state functional networksWithin-network connectivityFunctional networksMental health symptomsGrowth curve analysisLevels of dysregulationCognitive controlFMRI studyChildhood traumaNeurobiological processesTraumatic exposureDevelopmental trajectoriesHealth symptomsClinical populationsLongitudinal designPredictive utilityPsychopathologyDevelopmental changesYouth riskConnectivity patternsGreater levelsPsychopathic traits and altered resting-state functional connectivity in incarcerated adolescent girls
Allen C, Maurer J, Gullapalli A, Edwards B, Aharoni E, Harenski C, Anderson N, Harenski K, Calhoun V, Kiehl K. Psychopathic traits and altered resting-state functional connectivity in incarcerated adolescent girls. Frontiers In Neuroimaging 2023, 2: 1216494. PMID: 37554634, PMCID: PMC10406221, DOI: 10.3389/fnimg.2023.1216494.Peer-Reviewed Original ResearchAmplitude of low-frequency fluctuationPsychopathic traitsResting-state networksLow-frequency fluctuationsAssociation of psychopathic traitsCorrelates of psychopathic traitsIncarcerated adolescent girlsResting-state fMRI scansResting-state functional connectivityElevated psychopathic traitsCognitive control networkGroup independent component analysisMode network componentsInter-network connectivityIntra-network connectivityHigh-risk adolescent girlsIndependent component analysisResting-state measuresFunctional network propertiesAdolescent girlsFMRI scanningParalimbic regionsMode networkIncarcerated boysFunctional connectivity