2022
RT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRI
Wallace G, Polcyn S, Brooks P, Mennen A, Zhao K, Scotti P, Michelmann S, Li K, Turk-Browne N, Cohen J, Norman K. RT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRI. NeuroImage 2022, 257: 119295. PMID: 35580808, PMCID: PMC9494277, DOI: 10.1016/j.neuroimage.2022.119295.Peer-Reviewed Original ResearchConceptsCloud computingOpen-source Python software packageHigh-performance computingStandardized data formatsBrain Imaging Data Structure (BIDS) standardPython software packageData structure standardsSoftware frameworkOpen standardsData formatLack of standardsHardware requirementsComputingReal timeSoftware packageOpen scienceReal-time fMRIScalabilityTechnical expertiseExecutionDeploymentApplicationsStructure standardsComplexityFormat
2020
Cloud-Based Functional Magnetic Resonance Imaging Neurofeedback to Reduce the Negative Attentional Bias in Depression: A Proof-of-Concept Study
Mennen AC, Turk-Browne NB, Wallace G, Seok D, Jaganjac A, Stock J, deBettencourt MT, Cohen JD, Norman KA, Sheline YI. Cloud-Based Functional Magnetic Resonance Imaging Neurofeedback to Reduce the Negative Attentional Bias in Depression: A Proof-of-Concept Study. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2020, 6: 490-497. PMID: 33422469, PMCID: PMC8035170, DOI: 10.1016/j.bpsc.2020.10.006.Peer-Reviewed Original ResearchMeSH KeywordsAttentional BiasCloud ComputingDepressionDepressive Disorder, MajorHumansMagnetic Resonance ImagingNeurofeedbackConceptsMajor depressive disorderDepressive disorderHealthy control participantsFunctional magnetic resonanceControl participantsFuture clinical trialsFunctional magnetic resonance imaging sessionMagnetic resonance imaging sessionConcept studyClinical trialsDepression severityMagnetic resonanceImaging sessionDisordersNeurofeedback trainingVisual stimuliDepressionParticipantsExploratory analysisInternal attentional stateNegative attentional bias