2024
A spatially constrained independent component analysis jointly informed by structural and functional network connectivity
Fouladivanda M, Iraji A, Wu L, van Erp T, Belger A, Hawamdeh F, Pearlson G, Calhoun V. A spatially constrained independent component analysis jointly informed by structural and functional network connectivity. Network Neuroscience 2024, 1-31. DOI: 10.1162/netn_a_00398.Peer-Reviewed Original ResearchIntrinsic connectivity networksFunctional brain connectivityBrain connectivityStructural connectivityFunctional connectivityIndependent component analysisResting-state functional MRIAnalysis of group differencesBrain functional organizationFunctional network connectivityStructural-functional connectivityNeuroimaging studiesFunctional MRIWhole-brain tractographyGroup differencesRs-fMRIBrain disordersFunctional couplingSchizophreniaStatistical analysis of group differencesSubject levelFunctional organizationConnectivity networksBrainDiffusion-weighted MRI
2022
Brain-behavior relationships of simulated naturalistic automobile driving under the influence of acute cannabis intoxication: A double-blind, placebo-controlled study
Meda S, Stevens M, Boer E, Boyle C, Book G, Ward N, Pearlson G. Brain-behavior relationships of simulated naturalistic automobile driving under the influence of acute cannabis intoxication: A double-blind, placebo-controlled study. 2022 DOI: 10.26828/cannabis.2022.02.000.32.Peer-Reviewed Original ResearchBrain-behavior relationshipsEffects of cannabisFunctional MRICar followingMotion-sensitive visual cortexSpecific driving skillsInferior frontal gyrusSuperior temporal gyrusFrequent cannabis usersComplex everyday activitiesGroup independent component analysisInfluence of cannabisAcute cannabis intoxicationBehavioral factorsKey brain areasIndependent component analysisFrontal gyrusDriving skillsBehavior factorsTemporal gyrusDifferent driving behaviorsSafe overtakingCannabis usersConnectivity differencesFMRI data
2017
APPLYING MULTIVARIATE TECHNIQUES, INCLUDING PARALLEL ICA TO COMMON COMPLEX PSYCHIATRIC ENDOPHENOTYPES
Pearlson G, Meda, Khadka S, Tamminga C, Keshavan M, Clementz B, Sweeney J, Gershon E, Raskin S, Fallahi C. APPLYING MULTIVARIATE TECHNIQUES, INCLUDING PARALLEL ICA TO COMMON COMPLEX PSYCHIATRIC ENDOPHENOTYPES. European Neuropsychopharmacology 2017, 27: s519. DOI: 10.1016/j.euroneuro.2016.09.636.Peer-Reviewed Original ResearchNeuron differentiationMultiple risk genesState functional MRIMolecular biological pathwaysComplex psychiatric diseasesSynaptic contactsBipolar-Schizophrenia NetworkEnrichment analysisUnivariate analysisMedical disordersIntermediate Phenotypes (B-SNIP) studyPsychiatric diseasesLarger sample sizeDisease riskEEG phenotypesFunctional MRISchizophrenia NetworkState EEG dataElectrophysiological phenotypeInterneuron development
2000
A weighted least‐squares algorithm for estimation and visualization of relative latencies in event‐related functional MRI
Calhoun V, Adalı T, Kraut M, Pearlson G. A weighted least‐squares algorithm for estimation and visualization of relative latencies in event‐related functional MRI. Magnetic Resonance In Medicine 2000, 44: 947-954. PMID: 11108633, DOI: 10.1002/1522-2594(200012)44:6<947::aid-mrm17>3.0.co;2-5.Peer-Reviewed Original Research
1999
(Non)stationarity of temporal dynamics in fMRI
Calhoun V, Adali T, Pearlson G. (Non)stationarity of temporal dynamics in fMRI. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society 1999, 2: 1079 vol.2. DOI: 10.1109/iembs.1999.804239.Peer-Reviewed Original ResearchPrimary visual cortexFunctional MRIHemodynamic responseVisual cortexBrain regionsObserved hemodynamic responsesBlood supplyHigher cognitive functionsCognitive functionLatency shiftNeuronal patternsCortexAuthors' initial resultsCurrent studyFMRI experimentMean waveformOverall changeInitial resultsMRI
1998
Visualizing spatially distributed hemodynamic lag times in event-related functional MRI: estimation of a characteristic visual "impulse response"
Calhoun V, Adali T, Kraut M, Rivkin P, Pearlson G. Visualizing spatially distributed hemodynamic lag times in event-related functional MRI: estimation of a characteristic visual "impulse response". Annual International Conference Of The IEEE Engineering In Medicine And Biology Society 1998, 4: 2124-2127 vol.4. DOI: 10.1109/iembs.1998.747028.Peer-Reviewed Original Research