2024
Prediction of craving across studies: A commentary on conceptual and methodological considerations when using data-driven methods
Antons S, Yip S, Lacadie C, Dadashkarimi J, Scheinost D, Brand M, Potenza M. Prediction of craving across studies: A commentary on conceptual and methodological considerations when using data-driven methods. Journal Of Behavioral Addictions 2024, 13: 695-701. PMID: 39356557, PMCID: PMC11457034, DOI: 10.1556/2006.2024.00050.Peer-Reviewed Original ResearchConceptsAddictive behaviorsDisorders due to addictive behaviorsConnectome-based predictive modelingPrediction of cravingInvestigate neural mechanismsSubstance use disordersNeural mechanismsCravingSubstance useMethodological considerationsDisordersMethodological featuresBehaviorConceptualizationCommentaryStudyFindingsSubstancesInvestigating Brain State Engagement Variability in Individuals With Opioid Use Disorder Using Naturalistic and Task-Based fMRI Data
Ye J, Mehta S, Peterson H, Ibrahim A, Saeed G, Linsky S, Kreinin I, Tsang S, Nwanaji-Enwerem U, Raso A, Yip S, Tokoglu F, Arora J, Constable R, Barry D, Redeker N, Yaggi H, Scheinost D. Investigating Brain State Engagement Variability in Individuals With Opioid Use Disorder Using Naturalistic and Task-Based fMRI Data. Biological Psychiatry 2024, 95: s6. DOI: 10.1016/j.biopsych.2024.02.022.Peer-Reviewed Original ResearchThe tip of the iceberg: A call to embrace anti-localizationism in human neuroscience research
Noble S, Curtiss J, Pessoa L, Scheinost D. The tip of the iceberg: A call to embrace anti-localizationism in human neuroscience research. Imaging Neuroscience 2024, 2: 1-10. DOI: 10.1162/imag_a_00138.Peer-Reviewed Original Research
2023
Altered Brain Dynamics Across Bipolar Disorder and Schizophrenia During Rest and Task Switching Revealed by Overlapping Brain States
Ye J, Sun H, Gao S, Dadashkarimi J, Rosenblatt M, Rodriguez R, Mehta S, Jiang R, Noble S, Westwater M, Scheinost D. Altered Brain Dynamics Across Bipolar Disorder and Schizophrenia During Rest and Task Switching Revealed by Overlapping Brain States. Biological Psychiatry 2023, 94: 580-590. PMID: 37031780, PMCID: PMC10524212, DOI: 10.1016/j.biopsych.2023.03.024.Peer-Reviewed Original ResearchConceptsAberrant brain dynamicsMultiple brain statesBipolar disorderTask-based functional magnetic resonanceFunctional magnetic resonanceAltered brain dynamicsBrain statesTask-based functional magnetic resonance imagingFunctional magnetic resonance imagingMagnetic resonance imagingHealthy control participantsBrain dynamicsSignificant group differencesMagnetic resonanceMultivariate analysisResonance imagingSchizophreniaTime pointsControl participantsGroup differencesNeural mechanismsOlder participantsPreliminary evidenceDynamic alterationsDisorders
2019
Lower synaptic density is associated with depression severity and network alterations
Holmes SE, Scheinost D, Finnema SJ, Naganawa M, Davis MT, DellaGioia N, Nabulsi N, Matuskey D, Angarita GA, Pietrzak RH, Duman RS, Sanacora G, Krystal JH, Carson RE, Esterlis I. Lower synaptic density is associated with depression severity and network alterations. Nature Communications 2019, 10: 1529. PMID: 30948709, PMCID: PMC6449365, DOI: 10.1038/s41467-019-09562-7.Peer-Reviewed Original ResearchConceptsMajor depressive disorderPost-traumatic stress disorderLower synaptic densitySynaptic densityPositron emission tomographyFunctional connectivityNetwork alterationsSynaptic vesicle glycoprotein 2ASymptoms of depressionSynaptic lossDepressive disorderHealthy controlsNerve terminalsDepressive symptomsDepression severityUnmedicated individualsSynaptic connectionsEmission tomographyStress disorderVivo evidenceSymptomsDepressionSeverityDisordersAlterationsConnectome-Based Prediction of Cocaine Abstinence
Yip SW, Scheinost D, Potenza MN, Carroll KM. Connectome-Based Prediction of Cocaine Abstinence. American Journal Of Psychiatry 2019, 176: 156-164. PMID: 30606049, PMCID: PMC6481181, DOI: 10.1176/appi.ajp.2018.17101147.Peer-Reviewed Original ResearchMeSH KeywordsAdultBehavior TherapyBrainCholinesterase InhibitorsCocaine-Related DisordersCognitionConnectomeExecutive FunctionFemaleFunctional NeuroimagingGalantamineHumansIndividualityMachine LearningMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysOpiate Substitution TreatmentOpioid-Related DisordersPrognosisRewardTreatment OutcomeConceptsConnectome-based predictive modelingCocaine use disorderUse disordersBrain-based predictorsLarge-scale neural networksFunctional MRI dataCocaine abstinenceExecutive controlReward responsivenessIndividual differencesBaseline cocaine usePosttreatment assessmentConnectivity strengthHeterogeneous sampleAbstinenceIndependent samplesNovel interventionsCanonical networksSpecific behaviorsCocaine useSignificant correspondenceDisordersTreatment outcomesNetwork strengthMRI data
2017
Characterizing Attention with Predictive Network Models
Rosenberg MD, Finn ES, Scheinost D, Constable RT, Chun MM. Characterizing Attention with Predictive Network Models. Trends In Cognitive Sciences 2017, 21: 290-302. PMID: 28238605, PMCID: PMC5366090, DOI: 10.1016/j.tics.2017.01.011.Peer-Reviewed Original ResearchConceptsAttention deficit hyperactivity disorderAttentional abilitiesLarge-scale brain networksLaboratory-based tasksDeficit hyperactivity disorderExplicit taskCognitive abilitiesHyperactivity disorderBrain networksBrain computationCognitive functionFunctional connectivityFunctional architectureTaskClinical dysfunctionEmpirical evidenceAttentionPredictive network modelsNeuromarkersNetwork modelAbilityRecent workNetwork propertiesDisordersPeople
2016
Does prenatal stress alter the developing connectome?
Scheinost D, Sinha R, Cross SN, Kwon SH, Sze G, Constable RT, Ment LR. Does prenatal stress alter the developing connectome? Pediatric Research 2016, 81: 214-226. PMID: 27673421, PMCID: PMC5313513, DOI: 10.1038/pr.2016.197.Peer-Reviewed Original ResearchConceptsAttention deficit hyperactivity disorderDeficit hyperactivity disorderStress-related symptomsPrenatal exposureRisk factorsMajor depressionFetal brainMaternal stressPrenatal stressNeural elementsNeurobehavioral disordersFunctional connectivityHyperactivity disorderHuman neurodevelopmentDisordersAutism spectrum disorderFunctional networksConnectomeSpectrum disorderHuman connectomePregnancySymptomsNeurodevelopmentSchizophreniaBrain
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
2012
The intrinsic connectivity distribution: A novel contrast measure reflecting voxel level functional connectivity
Scheinost D, Benjamin J, Lacadie CM, Vohr B, Schneider KC, Ment LR, Papademetris X, Constable RT. The intrinsic connectivity distribution: A novel contrast measure reflecting voxel level functional connectivity. NeuroImage 2012, 62: 1510-1519. PMID: 22659477, PMCID: PMC3538880, DOI: 10.1016/j.neuroimage.2012.05.073.Peer-Reviewed Original ResearchConceptsIntrinsic connectivity distributionTerm control subjectsFunctional connectivity differencesControl subjectsVoxel-level functional connectivityConnectivity differencesResting-state fMRIDisease groupTemporal-parietal areasPsychiatric disordersRs-fMRINeurological disordersClinical toolFunctional connectivityYoung adultsFMRI measuresRelevant differencesDisordersSubjectsLanguage processing areasSurvey studyTissue connectivityPretermDifferences