Featured Publications
Functional connectivity between task-positive and task-negative brain areas and its relation to working memory performance
Hampson M, Driesen N, Roth JK, Gore JC, Constable RT. Functional connectivity between task-positive and task-negative brain areas and its relation to working memory performance. Magnetic Resonance Imaging 2010, 28: 1051-1057. PMID: 20409665, PMCID: PMC2936669, DOI: 10.1016/j.mri.2010.03.021.Peer-Reviewed Original ResearchConceptsDorsolateral prefrontal cortexCognitive tasksBrain areasCognitive functionPrefrontal cortexTask-negative regionsWhole-brain correlationMedial frontal cortexAnterior cingulate cortexGroup-level analysisMemory performanceFunctional brainCingulate cortexFunctional connectivityFrontal cortexFunctional connectionsCortexTaskRelationshipNegative correlationValidityConnectivityBrainFindingsRegressionBrain Connectivity Related to Working Memory Performance
Hampson M, Driesen NR, Skudlarski P, Gore JC, Constable RT. Brain Connectivity Related to Working Memory Performance. Journal Of Neuroscience 2006, 26: 13338-13343. PMID: 17182784, PMCID: PMC2677699, DOI: 10.1523/jneurosci.3408-06.2006.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrainBrain MappingFemaleHumansMaleMemoryMiddle AgedNerve NetPsychomotor PerformanceConceptsPosterior cingulate cortexMemory taskCognitive tasksCingulate cortexVentral anterior cingulate cortexDifferent cognitive tasksMedial frontal regionsMedial frontal gyrusDefault mode networkAnterior cingulate cortexFunctional imaging studiesCognitive abilitiesIndividual differencesMemory performanceCognitive performanceFrontal gyrusMode networkFrontal regionsFunctional connectivityBrain connectivityBrain areasTaskFunctional connectionsImaging studiesCortexDetection of functional connectivity using temporal correlations in MR images
Hampson M, Peterson BS, Skudlarski P, Gatenby JC, Gore JC. Detection of functional connectivity using temporal correlations in MR images. Human Brain Mapping 2002, 15: 247-262. PMID: 11835612, PMCID: PMC6872035, DOI: 10.1002/hbm.10022.Peer-Reviewed Original ResearchTime 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
2020
Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)
Ros T, Enriquez-Geppert S, Zotev V, Young KD, Wood G, Whitfield-Gabrieli S, Wan F, Vuilleumier P, Vialatte F, Van De Ville D, Todder D, Surmeli T, Sulzer JS, Strehl U, Sterman MB, Steiner NJ, Sorger B, Soekadar SR, Sitaram R, Sherlin LH, Schönenberg M, Scharnowski F, Schabus M, Rubia K, Rosa A, Reiner M, Pineda JA, Paret C, Ossadtchi A, Nicholson AA, Nan W, Minguez J, Micoulaud-Franchi JA, Mehler DMA, Lührs M, Lubar J, Lotte F, Linden DEJ, Lewis-Peacock JA, Lebedev MA, Lanius RA, Kübler A, Kranczioch C, Koush Y, Konicar L, Kohl SH, Kober SE, Klados MA, Jeunet C, Janssen TWP, Huster RJ, Hoedlmoser K, Hirshberg LM, Heunis S, Hendler T, Hampson M, Guggisberg AG, Guggenberger R, Gruzelier JH, Göbel RW, Gninenko N, Gharabaghi A, Frewen P, Fovet T, Fernández T, Escolano C, Ehlis AC, Drechsler R, deCharms R, Debener S, De Ridder D, Davelaar EJ, Congedo M, Cavazza M, Breteler MHM, Brandeis D, Bodurka J, Birbaumer N, Bazanova OM, Barth B, Bamidis PD, Auer T, Arns M, Thibault RT. Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist). Brain 2020, 143: 1674-1685. PMID: 32176800, PMCID: PMC7296848, DOI: 10.1093/brain/awaa009.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
2018
Data-Driven Analysis of Functional Connectivity Reveals a Potential Auditory Verbal Hallucination Network
Scheinost D, Tokoglu F, Hampson M, Hoffman R, Constable RT. Data-Driven Analysis of Functional Connectivity Reveals a Potential Auditory Verbal Hallucination Network. Schizophrenia Bulletin 2018, 45: 415-424. PMID: 29660081, PMCID: PMC6403094, DOI: 10.1093/schbul/sby039.Peer-Reviewed Original ResearchConceptsAuditory Hallucination Rating ScaleIntrinsic connectivity distributionAuditory verbal hallucinationsHealthy controlsFunctional connectivityLateralized connectivitySevere global health problemSeed connectivity analysesBest treatment strategyGlobal health problemWhole-brain connectivityMedial prefrontal cortexPosterior cingulate cortexDefault mode networkSuch patientsPatient groupLeft putamenTreatment strategiesPatientsActionable targetsSchizoaffective disorderCingulate cortexHealth problemsVoxel-based measurePrefrontal cortex
2017
Multimodal Investigation of Network Level Effects Using Intrinsic Functional Connectivity, Anatomical Covariance, and Structure-to-Function Correlations in Unmedicated Major Depressive Disorder
Scheinost D, Holmes SE, DellaGioia N, Schleifer C, Matuskey D, Abdallah CG, Hampson M, Krystal JH, Anticevic A, Esterlis I. Multimodal Investigation of Network Level Effects Using Intrinsic Functional Connectivity, Anatomical Covariance, and Structure-to-Function Correlations in Unmedicated Major Depressive Disorder. Neuropsychopharmacology 2017, 43: 1119-1127. PMID: 28944772, PMCID: PMC5854800, DOI: 10.1038/npp.2017.229.Peer-Reviewed Original ResearchConceptsMajor depressive disorderAnterior cingulate cortexIntrinsic functional connectivityMedial prefrontal cortexFunctional connectivityLarge-scale brain networksDepressive disorderMDD groupAnatomical covarianceBrain networksUnmedicated major depressive disorderWhole-brain intrinsic functional connectivitySystem-level disorderIntrinsic connectivity distributionRegional brain structureMultiple brain networksAltered connectivityCommon findingHealthy comparison participantsDepressive symptomsAltered volumeUnmedicated individualsLocal circuitryCingulate cortexDepressive symptomatology
2014
Sex differences in normal age trajectories of functional brain networks
Scheinost D, Finn ES, Tokoglu F, Shen X, Papademetris X, Hampson M, Constable RT. Sex differences in normal age trajectories of functional brain networks. Human Brain Mapping 2014, 36: 1524-1535. PMID: 25523617, PMCID: PMC5522589, DOI: 10.1002/hbm.22720.Peer-Reviewed Original Research
2013
Real-time fMRI links subjective experience with brain activity during focused attention
Garrison KA, Scheinost D, Worhunsky PD, Elwafi HM, Thornhill TA, Thompson E, Saron C, Desbordes G, Kober H, Hampson M, Gray JR, Constable RT, Papademetris X, Brewer JA. Real-time fMRI links subjective experience with brain activity during focused attention. NeuroImage 2013, 81: 110-118. PMID: 23684866, PMCID: PMC3729617, DOI: 10.1016/j.neuroimage.2013.05.030.Peer-Reviewed Original ResearchConceptsReal-time fMRIPosterior cingulate cortexBrain activitySubjective experienceFocused attentionCingulate cortexCognitive neuroscience researchFocused attention taskOngoing subjective experienceFeedback graphsOwn brain activityDefault mode networkAttention taskNeural processesIntrospective awarenessOngoing taskRt-fMRIAffective functionsExperienced meditatorsMode networkNovel contextNeuroscience researchMeditatorsBrain imagingObjective measures
2012
Intrinsic Brain Connectivity Related to Age in Young and Middle Aged Adults
Hampson M, Tokoglu F, Shen X, Scheinost D, Papademetris X, Constable RT. Intrinsic Brain Connectivity Related to Age in Young and Middle Aged Adults. PLOS ONE 2012, 7: e44067. PMID: 22984460, PMCID: PMC3439483, DOI: 10.1371/journal.pone.0044067.Peer-Reviewed Original ResearchConceptsDefault mode networkIntrinsic brain connectivityAge-related differencesVoxel-based measureEmotional processingRecent developmental studiesState connectivityMode networkCognitive functionBrain scienceVisual areasMiddle-aged adultsFunctional connectivityYoung adulthoodBrain connectivityIndividual tissue elementsCortical regionsDevelopmental studiesHuman brainSubcortical regionsAged adultsPrevious findingsAge-related variationsEarly growth trajectoriesNetwork measures
2011
Biofeedback of Real-Time Functional Magnetic Resonance Imaging Data from the Supplementary Motor Area Reduces Functional Connectivity to Subcortical Regions
Hampson M, Scheinost D, Qiu M, Bhawnani J, Lacadie CM, Leckman JF, Constable RT, Papademetris X. Biofeedback of Real-Time Functional Magnetic Resonance Imaging Data from the Supplementary Motor Area Reduces Functional Connectivity to Subcortical Regions. Brain Connectivity 2011, 1: 91-98. PMID: 22432958, PMCID: PMC3621512, DOI: 10.1089/brain.2011.0002.Peer-Reviewed Original ResearchConceptsSupplementary motor areaReal-time functional magnetic resonanceFunctional connectivityTourette syndromeFunctional magnetic resonanceMotor areaSubcortical regionsBiofeedback sessionsState functional connectivityTic symptomsMagnetic resonance imaging dataHealthy subjectsTS patientsMagnetic resonanceBrain areasBiofeedbackFunctional magnetic resonance imaging (fMRI) dataFurther studiesSignificant increaseAberrant dynamicsSubjectsRecent studiesImaging dataSessionsPatients
2010
Functional connectivity between ventral prefrontal cortex and amygdala at low frequency in the resting state in bipolar disorder
Chepenik LG, Raffo M, Hampson M, Lacadie C, Wang F, Jones MM, Pittman B, Skudlarski P, Blumberg HP. Functional connectivity between ventral prefrontal cortex and amygdala at low frequency in the resting state in bipolar disorder. Psychiatry Research 2010, 182: 207-210. PMID: 20493671, PMCID: PMC2914819, DOI: 10.1016/j.pscychresns.2010.04.002.Peer-Reviewed Original ResearchConceptsVentral prefrontal cortexBipolar disorderFunctional connectivityPrefrontal cortexState functional magnetic resonance imagingRight ventral prefrontal cortexFunctional magnetic resonance imagingMagnetic resonance imagingWhole-brain analysisTrait abnormalityResonance imagingVentral striatumHealthy participantsAmygdalaCortexDisordersNegative correlationLow frequencyDysfunctionStriatumAbnormalitiesToward 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