2022
A functional connectome signature of blood pressure in >30 000 participants from the UK biobank.
Jiang R, Calhoun VD, Noble S, Sui J, Liang Q, Qi S, Scheinost D. A functional connectome signature of blood pressure in >30 000 participants from the UK biobank. Cardiovascular Research 2022, 119: 1427-1440. PMID: 35875865, PMCID: PMC10262183, DOI: 10.1093/cvr/cvac116.Peer-Reviewed Original ResearchConceptsBlood pressureBP levelsSystolic/diastolic blood pressurePrevalent modifiable risk factorFunctional connectivityMeaningful blood pressureDiastolic blood pressureElevated blood pressureModifiable risk factorsBody mass indexWhole-brain functional connectivityCentral autonomic networkAnterior cingulate cortexAntihypertensive medicationsMass indexMultiple confoundersPulse pressureRisk factorsCardiovascular diseaseIrreversible structural damageMedicated participantsMedication statusCingulate cortexCognitive declineAlzheimer's disease
2020
Magnetic resonance image connectivity analysis provides evidence of central nervous system mode of action for parasacral transcutaneous electro neural stimulation - A pilot study
Netto JMB, Scheinost D, Onofrey JA, Franco I. Magnetic resonance image connectivity analysis provides evidence of central nervous system mode of action for parasacral transcutaneous electro neural stimulation - A pilot study. Journal Of Pediatric Urology 2020, 16: 536-542. PMID: 32873504, DOI: 10.1016/j.jpurol.2020.08.002.Peer-Reviewed Original ResearchConceptsDorsal lateral prefrontal cortexAnterior cingulate cortexOveractive bladderFunctional connectivityPrefrontal cortexUrinary tract symptomsSacral nerve stimulatorCommon treatment modalityRight scapular regionACC functional connectivityResting-state conditionsMechanism of actionTract symptomsMotor thresholdCentral effectsACC connectivityNerve stimulatorSacral levelTreatment modalitiesFunctional connectivity dataMechanism of effectivenessAdult volunteersFrontal lobeSubcortical regionsCingulate cortex
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
2016
Cingulate cortex functional connectivity predicts future relapse in alcohol dependent individuals
Zakiniaeiz Y, Scheinost D, Seo D, Sinha R, Constable RT. Cingulate cortex functional connectivity predicts future relapse in alcohol dependent individuals. NeuroImage Clinical 2016, 13: 181-187. PMID: 27981033, PMCID: PMC5144743, DOI: 10.1016/j.nicl.2016.10.019.Peer-Reviewed Original ResearchConceptsPosterior cingulate cortexAUD patientsFunctional connectivityCingulate cortexCox proportional hazards regressionChronic relapsing illnessWhole-brain investigationProportional hazards regressionFunctional connectivity differencesAlcohol-dependent patientsVoxel-wise connectivityNeutral cuesAlcohol-dependent individualsHealthy control participantsFunctional magnetic resonanceRelapse measuresHazards regressionSubsequent relapseDependent patientsInpatient treatmentAlcohol relapseFuture relapsePatientsAlcohol dependenceConnectivity differencesMultisite reliability of MR-based functional connectivity
Noble S, Scheinost D, Finn ES, Shen X, Papademetris X, McEwen SC, Bearden CE, Addington J, Goodyear B, Cadenhead KS, Mirzakhanian H, Cornblatt BA, Olvet DM, Mathalon DH, McGlashan TH, Perkins DO, Belger A, Seidman LJ, Thermenos H, Tsuang MT, van Erp TGM, Walker EF, Hamann S, Woods SW, Cannon TD, Constable RT. Multisite reliability of MR-based functional connectivity. NeuroImage 2016, 146: 959-970. PMID: 27746386, PMCID: PMC5322153, DOI: 10.1016/j.neuroimage.2016.10.020.Peer-Reviewed Original ResearchConceptsNorth American Prodrome Longitudinal StudyRight motor cortexIntrinsic connectivity distributionPosterior cingulate cortexFunctional connectivity studiesFunctional connectivity measurementsMultisite studyVoxel-wise connectivityConnectivity studiesConnectivity measuresSeed-based connectivityConnectivity analysisMotor cortexHealthy cohortCingulate cortexScan durationSingle-subject levelFcMRI dataFunctional connectivityConnectivity measurementsClinical populationsLittle dataLongitudinal studyMultisite reliabilityScanner manufacturersNeural Correlates of Success and Failure Signals During Neurofeedback Learning
Radua J, Stoica T, Scheinost D, Pittenger C, Hampson M. Neural Correlates of Success and Failure Signals During Neurofeedback Learning. Neuroscience 2016, 378: 11-21. PMID: 27063101, PMCID: PMC5537049, DOI: 10.1016/j.neuroscience.2016.04.003.Peer-Reviewed Original ResearchConceptsNeurofeedback signalFeedback learningMedial prefrontal/anterior cingulate cortexFeedback-driven learningPrecuneus/posterior cingulateClear adaptive valueDefault mode networkLevel-dependent responsesAnterior cingulate cortexOperant conditioning paradigmReduction of anxietyNeurofeedback learningNeural correlatesSignals of failureNeural processesNeurofeedback interventionConditioning paradigmNeurofeedback experimentsMode networkOrbitofrontal cortexCingulate cortexPosterior cingulateFunctional runsAbstract representationLearning
2015
Meditation leads to reduced default mode network activity beyond an active task
Garrison KA, Zeffiro TA, Scheinost D, Constable RT, Brewer JA. Meditation leads to reduced default mode network activity beyond an active task. Cognitive, Affective, & Behavioral Neuroscience 2015, 15: 712-720. PMID: 25904238, PMCID: PMC4529365, DOI: 10.3758/s13415-015-0358-3.Peer-Reviewed Original ResearchConceptsDefault mode networkDefault mode network activityBrain activation patternsDefault mode processingActive cognitive taskMode networkCognitive tasksActive tasksActivation patternsSelf-related thinkingDefault-mode activityPosterior cingulate/precuneusLong-term meditationAnterior cingulate cortexPrevious imaging studiesEffortful taskCentral neural processesNeural processesTask interactionBrain networksCingulate cortexNetwork activityMeditationReduced activation
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