2024
Inducing representational change in the hippocampus through real-time neurofeedback
Peng K, Wammes J, Nguyen A, Iordan C, Norman K, Turk-Browne N. Inducing representational change in the hippocampus through real-time neurofeedback. Philosophical Transactions Of The Royal Society B Biological Sciences 2024, 379: 20230091. PMID: 39428880, PMCID: PMC11491844, DOI: 10.1098/rstb.2023.0091.Peer-Reviewed Original ResearchMeSH KeywordsAdultFemaleHippocampusHumansMagnetic Resonance ImagingMaleMemoryNeurofeedbackVisual CortexYoung AdultConceptsFunctional magnetic resonance imagingReal-time functional magnetic resonance imagingPatterns of fMRI activityCategorical perception taskReal-time neurofeedbackNeurocognitive mechanismsFMRI sessionStimulus similarityFMRI activationTask demandsBehavioral consequencesUntrained objectsNeural representationPerception taskMemory integrationRepresentational changeEndogenous neuromodulatorNeurofeedbackHippocampusCortical representationIncreased coactivationMagnetic resonance imagingVisual cortexMemoryMultiple theories
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
2019
Attentional bias in depression: understanding mechanisms to improve training and treatment
Mennen AC, Norman KA, Turk-Browne NB. Attentional bias in depression: understanding mechanisms to improve training and treatment. Current Opinion In Psychology 2019, 29: 266-273. PMID: 31521030, PMCID: PMC6980447, DOI: 10.1016/j.copsyc.2019.07.036.Peer-Reviewed Original ResearchConceptsNegative attentional biasAttentional biasReal-time neurofeedbackTraining attentionAttention systemNegative stimuliNegative thoughtsClinical psychologyExtant findingsBehavioral interventionsRecent researchPotential mechanistic explanationDiverse bodyDepressionTheoretical progressPsychologyBiasNeurofeedbackMoodStimuliMechanistic explanationMindSymptomsThoughtTrainingNeurofeedback helps to reveal a relationship between context reinstatement and memory retrieval
deBettencourt MT, Turk-Browne NB, Norman KA. Neurofeedback helps to reveal a relationship between context reinstatement and memory retrieval. NeuroImage 2019, 200: 292-301. PMID: 31201985, PMCID: PMC7034791, DOI: 10.1016/j.neuroimage.2019.06.001.Peer-Reviewed Original ResearchConceptsContext reinstatementMental context reinstatementBrain-behavior relationshipsMemory retrievalMultivariate pattern classifierTask-irrelevant imagesRole of neurofeedbackFree recall testList of wordsExpense of memoryMemory positReinstated contextRecall testWorse recallMemory recallMental contextBetter recallNeurofeedbackReinstatementRecallContext imagesWordsSame contextSecond experimentDifferent contexts
2014
Optimizing real time fMRI neurofeedback for therapeutic discovery and development
Stoeckel LE, Garrison KA, Ghosh S, Wighton P, Hanlon CA, Gilman JM, Greer S, Turk-Browne NB, deBettencourt MT, Scheinost D, Craddock C, Thompson T, Calderon V, Bauer CC, George M, Breiter HC, Whitfield-Gabrieli S, Gabrieli JD, LaConte SM, Hirshberg L, Brewer JA, Hampson M, Van Der Kouwe A, Mackey S, Evins AE. Optimizing real time fMRI neurofeedback for therapeutic discovery and development. NeuroImage Clinical 2014, 5: 245-255. PMID: 25161891, PMCID: PMC4141981, DOI: 10.1016/j.nicl.2014.07.002.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsBrain MappingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNeurofeedbackConceptsBrain disordersBrain functionReal-time functional magnetic resonance imaging (rt-fMRI) neurofeedbackRtfMRI neurofeedbackFunctional magnetic resonance imaging (fMRI) neurofeedbackWorld Health OrganizationEffective treatmentClinical problemBrain-behavior relationshipsTherapeutic toolEffective interventionsHealth OrganizationDisordersNational InstituteIntervention approachesTherapeutic discoveryNeurofeedbackPersonalized assessmentRtfMRIMaladaptive patternsMorbidityNeurotherapeutics