2018
Developing image sets for inducing obsessive-compulsive checking symptoms
Brooks H, Kichuk SA, Adams TG, Koller WN, Eken HN, Rance M, Monahan S, Wasylink S, Kelmendi B, Pittenger C, Gruner P, Hampson M. Developing image sets for inducing obsessive-compulsive checking symptoms. Psychiatry Research 2018, 265: 249-255. PMID: 29763844, PMCID: PMC6063514, DOI: 10.1016/j.psychres.2018.04.035.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderProvocative imagesSymptom provocationDiagnosis of OCDClinical obsessive-compulsive disorderInduction of anxietyContextual cuesIntrusive thoughtsVisual stimuliOC symptomsCompulsive disorderDiagnostic statusAnxietyStimuliHarmful scenariosSimilar objectsGreat provocationsIndividualsSuggestive imagesProvocationQualitative patternCuesSymptomsResearch studiesFuture studiesData-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
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