Featured Publications
Time course of clinical change following neurofeedback
Rance M, Walsh C, Sukhodolsky DG, Pittman B, Qiu M, Kichuk SA, Wasylink S, Koller WN, Bloch M, Gruner P, Scheinost D, Pittenger C, Hampson M. Time course of clinical change following neurofeedback. NeuroImage 2018, 181: 807-813. PMID: 29729393, PMCID: PMC6454268, DOI: 10.1016/j.neuroimage.2018.05.001.Peer-Reviewed Original ResearchConceptsClinical changesSymptom changeTime courseBrain functionNeurofeedback studiesPotential clinical toolCrossover designControl interventionsReal neurofeedbackClinical toolTime pointsClinical populationsNeurofeedback effectsInterventionNeurofeedback sessionsNeurofeedbackCurrent brain stateWeeksBrain statesNew studiesCourseSessionsSymptoms
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 StatementsConceptsBrain 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
2010
Toward discovery science of human brain function
Biswal BB, Mennes M, Zuo XN, Gohel S, Kelly C, Smith SM, Beckmann CF, Adelstein JS, Buckner RL, Colcombe S, Dogonowski AM, Ernst M, Fair D, Hampson M, Hoptman MJ, Hyde JS, Kiviniemi VJ, Kötter R, Li SJ, Lin CP, Lowe MJ, Mackay C, Madden DJ, Madsen KH, Margulies DS, Mayberg HS, McMahon K, Monk CS, Mostofsky SH, Nagel BJ, Pekar JJ, Peltier SJ, Petersen SE, Riedl V, Rombouts SA, Rypma B, Schlaggar BL, Schmidt S, Seidler RD, Siegle GJ, Sorg C, Teng GJ, Veijola J, Villringer A, Walter M, Wang L, Weng XC, Whitfield-Gabrieli S, Williamson P, Windischberger C, Zang YF, Zhang HY, Castellanos FX, Milham MP. Toward discovery science of human brain function. Proceedings Of The National Academy Of Sciences Of The United States Of America 2010, 107: 4734-4739. PMID: 20176931, PMCID: PMC2842060, DOI: 10.1073/pnas.0911855107.Peer-Reviewed Original ResearchConceptsFunctional connectomeBrain functionResting-state functional MRISpontaneous low-frequency fluctuationsMeaningful interindividual differencesNegative functional connectionsInter-individual variabilityRs-fMRI dataBrain-behavior relationshipsRs-fMRIFunctional connectivityFunctional MRIHuman brain functionPathological processesRs-fMRI datasetLow-frequency fluctuationsBrainComplex neural systemsFunctional connectionsInterindividual differencesFMRI signalsMolecular genetic studiesDiscovery scienceConnectivity patternsConnectome