2017
Multi-modal analysis of functional connectivity and cerebral blood flow reveals shared and unique effects of propofol in large-scale brain networks
Qiu M, Scheinost D, Ramani R, Constable RT. Multi-modal analysis of functional connectivity and cerebral blood flow reveals shared and unique effects of propofol in large-scale brain networks. NeuroImage 2017, 148: 130-140. PMID: 28069540, PMCID: PMC5410383, DOI: 10.1016/j.neuroimage.2016.12.080.Peer-Reviewed Original ResearchConceptsCerebral blood flowIntrinsic connectivity distributionLarge-scale brain networksFunctional connectivityReduced consciousnessBlood flowBrain networksSedation conditionsWhole-brain connectivityAltered connectivityMotor networkCBF dataRs-fMRIPharmacological alterationsConnectivity differencesPropofolMultiple large-scale brain networksUnique neural correlatesBlow flowFrontoparietal networkAnesthesiaKey markersDefault modeNeural correlatesSame subjects
2014
Coupled Intrinsic Connectivity Distribution Analysis: A Method for Exploratory Connectivity Analysis of Paired fMRI Data
Scheinost D, Shen X, Finn E, Sinha R, Constable RT, Papademetris X. Coupled Intrinsic Connectivity Distribution Analysis: A Method for Exploratory Connectivity Analysis of Paired fMRI Data. PLOS ONE 2014, 9: e93544. PMID: 24676034, PMCID: PMC3968179, DOI: 10.1371/journal.pone.0093544.Peer-Reviewed Original ResearchConceptsHealthy controlsIntrinsic connectivity distributionCocaine-dependent subjectsResting-state scansSeed-based analysisConnectivity analysisSimilar brain regionsBasic neuroscience researchMagnetic resonance imaging dataPsychiatric diseasesVoxel-based resultsConnectivity differencesBrain regionsClinical toolFunctional changesFunctional magnetic resonance imaging (fMRI) dataScansVoxel-based methodConnectivity approachNeuroscience researchConnectivity data