2020
Simultaneous cortex-wide fluorescence Ca2+ imaging and whole-brain fMRI
Lake EMR, Ge X, Shen X, Herman P, Hyder F, Cardin JA, Higley MJ, Scheinost D, Papademetris X, Crair MC, Constable RT. Simultaneous cortex-wide fluorescence Ca2+ imaging and whole-brain fMRI. Nature Methods 2020, 17: 1262-1271. PMID: 33139894, PMCID: PMC7704940, DOI: 10.1038/s41592-020-00984-6.Peer-Reviewed Original ResearchConceptsOptical measurementsBrain functionTransgenic murine modelFunctional magnetic resonance imagingMagnetic resonance imagingFluorescent measuresWhole-brain fMRIMurine modelResonance imagingFluorescence Ca2Human brain functionConnectivity strengthBOLD signalBrain activityWidefieldLow frequencyImagingModalitiesTransfer functionMeasurementsCortex
2019
The individual functional connectome is unique and stable over months to years
Horien C, Shen X, Scheinost D, Constable RT. The individual functional connectome is unique and stable over months to years. NeuroImage 2019, 189: 676-687. PMID: 30721751, PMCID: PMC6422733, DOI: 10.1016/j.neuroimage.2019.02.002.Peer-Reviewed Original ResearchConceptsHigh ID ratesIndividual differencesFunctional connectomeIndividual functional connectomesStable individual differencesID rateResting-state fMRI datasetsFrontoparietal networkFunctional connectivityParietal cortexFMRI datasetsIdiosyncratic aspectsConnectomeHead motionEntire brainFMRIBrainCortexSpecific datasetDifferencesConnectivity
2017
An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks
Salehi M, Karbasi A, Shen X, Scheinost D, Constable RT. An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks. NeuroImage 2017, 170: 54-67. PMID: 28882628, PMCID: PMC5905726, DOI: 10.1016/j.neuroimage.2017.08.068.Peer-Reviewed Original ResearchConceptsIndividualized parcellationParcellation techniqueFunctional networksCross-validated predictive modelSpecific functional networksCerebral cortexPatient subgroupsFunctional connectivity dataFunctional organizationBrainParcellation schemesClinical applicationParcellation approachParcellationSexSubgroupsConnectivity dataIndividualized studyNetwork organizationIndividualsAmple evidencePatientsCortex
2014
Resting state functional connectivity predicts neurofeedback response
Scheinost D, Stoica T, Wasylink S, Gruner P, Saksa J, Pittenger C, Hampson M. Resting state functional connectivity predicts neurofeedback response. Frontiers In Behavioral Neuroscience 2014, 8: 338. PMID: 25309375, PMCID: PMC4173810, DOI: 10.3389/fnbeh.2014.00338.Peer-Reviewed Original ResearchObsessive-compulsive disorderOrbitofrontal cortexFunctional connectivityNeurofeedback trainingState functional connectivityWhole-brain connectivityBrain functional connectivityResting-state fMRITarget brain regionsBrodmann area 10Clinical symptomatologyContamination anxietyProminent symptomAnterior prefrontal cortexBrain regionsNeuropsychiatric disordersRs-fMRIBehavioral improvementPrefrontal cortexSame protocolPilot dataBA 10Neurofeedback protocolReliable predictorCortex
2012
Real-time fMRI biofeedback targeting the orbitofrontal cortex for contamination anxiety.
Hampson M, Stoica T, Saksa J, Scheinost D, Qiu M, Bhawnani J, Pittenger C, Papademetris X, Constable T. Real-time fMRI biofeedback targeting the orbitofrontal cortex for contamination anxiety. Journal Of Visualized Experiments 2012 PMID: 22297729, PMCID: PMC3462579, DOI: 10.3791/3535.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderOrbitofrontal cortexBrain areasContamination anxietySymptom severityQuarter of patientsSpecific brain areasClinical improvementControl subjectsClinical changesMagnetic resonance imaging dataHealthy subjectsPsychiatric disordersTherapeutic interventionsFunctional magnetic resonance imaging (fMRI) dataBrain regionsObsessive-compulsive symptomsBrain functionTraining subjectsOCD symptom severityBiofeedback interventionConsistent findingCortexBiofeedback trainingBiofeedback