2018
Functional Magnetic Resonance Imaging-Based Neurofeedback Training in Patients with Parkinson’s Disease (P3.075)
Tinaz S, Nalamada K, Sezgin M, Vives-Rodriguez A, Para K, Scheinost D, Louis E, Hampson M. Functional Magnetic Resonance Imaging-Based Neurofeedback Training in Patients with Parkinson’s Disease (P3.075). Neurology 2018, 90 DOI: 10.1212/wnl.90.15_supplement.p3.075.Peer-Reviewed Original ResearchData-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
An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks
Salehi M, Karbasi A, Shen X, Scheinost D, Constable RT. An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks. NeuroImage 2017, 170: 54-67. PMID: 28882628, PMCID: PMC5905726, DOI: 10.1016/j.neuroimage.2017.08.068.Peer-Reviewed Original ResearchConceptsIndividualized parcellationParcellation techniqueFunctional networksCross-validated predictive modelSpecific functional networksCerebral cortexPatient subgroupsFunctional connectivity dataFunctional organizationBrainParcellation schemesClinical applicationParcellation approachParcellationSexSubgroupsConnectivity dataIndividualized studyNetwork organizationIndividualsAmple evidencePatientsCortex
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 differences
2014
Altered functional connectivity in seizure onset zones revealed by fMRI intrinsic connectivity
Lee HW, Arora J, Papademetris X, Tokoglu F, Negishi M, Scheinost D, Farooque P, Blumenfeld H, Spencer DD, Constable RT. Altered functional connectivity in seizure onset zones revealed by fMRI intrinsic connectivity. Neurology 2014, 83: 2269-2277. PMID: 25391304, PMCID: PMC4277677, DOI: 10.1212/wnl.0000000000001068.Peer-Reviewed Original ResearchConceptsSeizure onset zoneIntrinsic connectivity contrastTemporal lobe epilepsyLobe epilepsySurgical outcomesOnset zoneExtratemporal lobe epilepsyIntractable partial epilepsyGood surgical outcomeAltered functional connectivityFunctional connectivity changesResting-state fMRIGlobal network changesEpileptic hemisphereClinical factorsPartial epilepsyEpileptogenic networksEpileptogenic zoneSeizure localizationFocal epilepsyIntracranial EEG recordingsTLE groupIndependent reviewersConnectivity abnormalitiesPatients
2013
Potential Use and Challenges of Functional Connectivity Mapping in Intractable Epilepsy
Constable RT, Scheinost D, Finn ES, Shen X, Hampson M, Winstanley FS, Spencer DD, Papademetris X. Potential Use and Challenges of Functional Connectivity Mapping in Intractable Epilepsy. Frontiers In Neurology 2013, 4: 39. PMID: 23734143, PMCID: PMC3660665, DOI: 10.3389/fneur.2013.00039.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsFunctional connectivity mappingIntractable epilepsyFunctional connectivityResting-state functional magnetic resonanceConnectivity analysisConnectivity mappingWhole-brain assessmentFunctional brain organizationFunctional connectivity analysisFunctional magnetic resonanceEpileptogenic tissueEpilepsy patientsSurgical proceduresCortical regionsEpilepsyCompensatory responseBrain organizationHuman brainBrainFunctional organizationMagnetic resonanceVoxel levelTissuePatientsReview
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
New open‐source ictal SPECT analysis method implemented in BioImage Suite
Scheinost D, Teisseyre TZ, Distasio M, DeSalvo MN, Papademetris X, Blumenfeld H. New open‐source ictal SPECT analysis method implemented in BioImage Suite. Epilepsia 2010, 51: 703-707. PMID: 20074234, PMCID: PMC2963625, DOI: 10.1111/j.1528-1167.2009.02425.x.Peer-Reviewed Original Research