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 explanationMindSymptomsThoughtTraining