2022
Associations among Household and Neighborhood Socioeconomic Disadvantages, Resting-state Frontoamygdala Connectivity, and Internalizing Symptoms in Youth
Ip KI, Sisk LM, Horien C, Conley MI, Rapuano KM, Rosenberg MD, Greene AS, Scheinost D, Constable RT, Casey BJ, Baskin-Sommers A, Gee DG. Associations among Household and Neighborhood Socioeconomic Disadvantages, Resting-state Frontoamygdala Connectivity, and Internalizing Symptoms in Youth. Journal Of Cognitive Neuroscience 2022, 34: 1810-1841. PMID: 35104356, DOI: 10.1162/jocn_a_01826.Peer-Reviewed Original ResearchConceptsSocioeconomic disadvantageNeighbourhood deprivationResting-state functional connectivityInternalizing symptomsSymptoms 1 yearHigher neighborhood deprivationNeighborhood socioeconomic disadvantageCognitive Development StudyAdolescent Brain Cognitive Development (ABCD) studyEarly interventionBilateral amygdalaElevated symptomsNegative connectivitySymptomsFunctional connectivityMental healthPositive connectivityBaselineHigher internalizing symptomsFrontoparietal networkOFC regionsFunctional couplingDeleterious effectsHigh disadvantageNeeds ratio232-OR: Alterations in Decision-Making Neurocircuits during Hypoglycemia in Patients with T1DM
DEAJON-JACKSON J, RANGEL E, LACADIE C, GREENE A, BELFORT-DEAGUIAR R, CONSTABLE T, ROTHMAN D, HWANG J. 232-OR: Alterations in Decision-Making Neurocircuits during Hypoglycemia in Patients with T1DM. Diabetes 2022, 71 DOI: 10.2337/db22-232-or.Peer-Reviewed Original ResearchDorsal anterior cingulate cortexGroup x Session interactionFunctional connectivityOrbitofrontal cortexControl subjectsNon-diabetic control subjectsHealthy control subjectsState functional connectivityDirect neuronal connectionsRegional brain activityAnterior cingulate cortexSeed-based analysisBOLD-fMRI scanningHyperinsulinemic euglycemicHypoglycemic clampT1DM patientsSession interactionT1DM subjectsGlucose levelsT1DMHypoglycemiaNeurocognitive changesNeuronal connectionsCingulate cortexCognitive functionFunctional Connectome–Based Predictive Modeling in Autism
Horien C, Floris DL, Greene AS, Noble S, Rolison M, Tejavibulya L, O'Connor D, McPartland JC, Scheinost D, Chawarska K, Lake EMR, Constable RT. Functional Connectome–Based Predictive Modeling in Autism. Biological Psychiatry 2022, 92: 626-642. PMID: 35690495, PMCID: PMC10948028, DOI: 10.1016/j.biopsych.2022.04.008.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsLarge-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity
Tejavibulya L, Peterson H, Greene A, Gao S, Rolison M, Noble S, Scheinost D. Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity. NeuroImage 2022, 252: 119040. PMID: 35272202, PMCID: PMC9013515, DOI: 10.1016/j.neuroimage.2022.119040.Peer-Reviewed Original ResearchConceptsHanded individualsFunctional connectivityLanguage areasWhole-brain functional connectivityRight-handed individualsFunctional organizationWhole-brain levelIndividual differencesHandedness differencesHandedness effectsFunctional connectomeBrain levelsSomatosensory cortexNetworks of interestWhole brainSex differencesBrainConnectomeIndividualsData-driven analysisConnectivityDistinct patternsLateralizationDifferencesSimilar amounts
2021
Genetic variation in endocannabinoid signaling is associated with differential network‐level functional connectivity in youth
Sisk LM, Rapuano KM, Conley MI, Greene AS, Horien C, Rosenberg MD, Scheinost D, Constable RT, Glatt CE, Casey BJ, Gee DG. Genetic variation in endocannabinoid signaling is associated with differential network‐level functional connectivity in youth. Journal Of Neuroscience Research 2021, 100: 731-743. PMID: 34496065, PMCID: PMC8866205, DOI: 10.1002/jnr.24946.Peer-Reviewed Original ResearchConceptsEndocannabinoid signalingAllele carriersLower anxiety symptomsC385A polymorphismNetwork-level functional connectivityEnhanced endocannabinoid signalingLarge-scale resting-state brain networksAnxiety symptomsResting-state brain networksGenotype-associated differencesBrain networksFronto-amygdala connectivityFunctional connectionsCognitive Development StudyNetwork-level changesPotential protective factorsAdolescent Brain Cognitive Development (ABCD) studyEndocannabinoid systemNetwork-level differencesYounger ageFunctional connectivityProtective factorsNeural phenotypesAnxiety disordersNeural connectivityUsing functional connectivity models to characterize relationships between working and episodic memory
Stark GF, Avery EW, Rosenberg MD, Greene AS, Gao S, Scheinost D, Constable R, Chun MM, Yoo K. Using functional connectivity models to characterize relationships between working and episodic memory. Brain And Behavior 2021, 11: e02105. PMID: 34142458, PMCID: PMC8413720, DOI: 10.1002/brb3.2105.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelsN-back task performanceEpisodic memoryMemory test scoresFunctional connectivityTask performanceN-back memory taskWord scoresTest scoresCritical cognitive abilityPicture-sequencing taskHuman Connectome Project participantsN-back taskFunctional magnetic resonance imaging (fMRI) dataWhole-brain functional connectivityTask functional connectivityFunctional brain connectionsFunctional connectivity modelsFunctional connectionsMemory taskCognitive processesMemory testCognitive abilitiesSequence taskList Sorting
2020
Transdiagnostic, Connectome-Based Prediction of Memory Constructs Across Psychiatric Disorders
Barron DS, Gao S, Dadashkarimi J, Greene AS, Spann MN, Noble S, Lake EMR, Krystal JH, Constable RT, Scheinost D. Transdiagnostic, Connectome-Based Prediction of Memory Constructs Across Psychiatric Disorders. Cerebral Cortex 2020, 31: 2523-2533. PMID: 33345271, PMCID: PMC8023861, DOI: 10.1093/cercor/bhaa371.Peer-Reviewed Original ResearchConceptsMacroscale brain networksIndividual differencesBrain networksMemory deficitsFunctional connectivityAttention deficit hyper-activity disorderTask-based functional MRI dataLong-term memoryWhole-brain functional connectivityDiagnostic groupsWhole-brain patternsDefault mode networkFunctional MRI dataHuman Connectome ProjectPsychiatric disordersMemory constructsMemory performanceTransdiagnostic sampleBrain correlatesMode networkFunctional connectomeConnectome ProjectLimbic networkHealthy participantsMemoryBehavioral and brain signatures of substance use vulnerability in childhood
Rapuano KM, Rosenberg MD, Maza MT, Dennis NJ, Dorji M, Greene AS, Horien C, Scheinost D, Constable R, Casey BJ. Behavioral and brain signatures of substance use vulnerability in childhood. Developmental Cognitive Neuroscience 2020, 46: 100878. PMID: 33181393, PMCID: PMC7662869, DOI: 10.1016/j.dcn.2020.100878.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelingSubstance useFunctional connectivityCognitive Development StudyFuture substance useSubstance use vulnerabilityAdolescent substance useSubstance use increasesSubstance use outcomesIndividual differencesAdolescent brainBrain signaturesTask conditionsBehavioral measuresFamilial risk factorsUse outcomesRisky behaviorsLatent dimensionsFamilial factorsBrain modelCurrent studyWeak predictorDevelopment studiesEarly susceptibilityFunctional imagingHow Tasks Change Whole-Brain Functional Organization to Reveal Brain-Phenotype Relationships
Greene AS, Gao S, Noble S, Scheinost D, Constable RT. How Tasks Change Whole-Brain Functional Organization to Reveal Brain-Phenotype Relationships. Cell Reports 2020, 32: 108066. PMID: 32846124, PMCID: PMC7469925, DOI: 10.1016/j.celrep.2020.108066.Peer-Reviewed Original ResearchFunctional connectivity predicts changes in attention observed across minutes, days, and months
Rosenberg MD, Scheinost D, Greene AS, Avery EW, Kwon YH, Finn ES, Ramani R, Qiu M, Constable RT, Chun MM. Functional connectivity predicts changes in attention observed across minutes, days, and months. Proceedings Of The National Academy Of Sciences Of The United States Of America 2020, 117: 3797-3807. PMID: 32019892, PMCID: PMC7035597, DOI: 10.1073/pnas.1912226117.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelsAttentional stateSustained attentionIndividual differencesSustained attention functionFunctional connectivity signaturesFunctional brain connectivityFunctional connectivity patternsAttention functionConnectivity signaturesFunctional connectivityBrain connectivityConnectivity patternsAttentionSingle personSame patternIndividualsConnectivityIndependent studiesRecent workState changesPersonsPeopleDifferencesAbilityDistributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals
Avery EW, Yoo K, Rosenberg MD, Greene AS, Gao S, Na DL, Scheinost D, Constable TR, Chun MM. Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals. Journal Of Cognitive Neuroscience 2020, 32: 241-255. PMID: 31659926, PMCID: PMC8004893, DOI: 10.1162/jocn_a_01487.Peer-Reviewed Original ResearchConceptsFunctional connectivity patternsFluid intelligenceMemory performanceIndividual differencesAttention modelConnectome-based predictive modelingConnectome-based predictive modelsWhole-brain functional connectivity patternsGeneral cognitive abilitySuch individual differencesConnectivity patternsAdult life spanHuman Connectome ProjectHuman Connectome Project dataMemory relateCognitive abilitiesNeural basisSustained attentionMemory scoresParietal regionsFunctional connectivityConnectome ProjectMemory modelOlder adultsMemory
2019
There is no single functional atlas even for a single individual: Functional parcel definitions change with task
Salehi M, Greene AS, Karbasi A, Shen X, Scheinost D, Constable RT. There is no single functional atlas even for a single individual: Functional parcel definitions change with task. NeuroImage 2019, 208: 116366. PMID: 31740342, DOI: 10.1016/j.neuroimage.2019.116366.Peer-Reviewed Original ResearchS179. Transdiagnostic Prediction of Memory and Executive Function From Whole-Brain Functional Connectivity
Barron D, Gao S, Greene A, Constable R, Krystal J, Scheinost D. S179. Transdiagnostic Prediction of Memory and Executive Function From Whole-Brain Functional Connectivity. Biological Psychiatry 2019, 85: s366-s367. DOI: 10.1016/j.biopsych.2019.03.930.Peer-Reviewed Original Research
2018
Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models
Gao S, Greene A, Todd Constable R, Scheinost D. Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models. Lecture Notes In Computer Science 2018, 11072: 349-356. DOI: 10.1007/978-3-030-00931-1_40.Peer-Reviewed Original ResearchTask conditionsDifferent cognitive tasksMultiple task conditionsDifferent task conditionsConnectivity dataDifferent cognitive conditionsFunctional connectivity dataComputational modelHuman Connectome ProjectPrediction of behaviorCognitive tasksIndividual differencesBehavioral measuresBehavioral predictionsCognitive conditionsMultiple connectomesSingle taskFunctional connectivityConnectome ProjectDifferent tasksComplementary informationMultiple tasksTaskPrincipled methodCanonical correlation analysisTask-induced brain state manipulation improves prediction of individual traits
Greene AS, Gao S, Scheinost D, Constable RT. Task-induced brain state manipulation improves prediction of individual traits. Nature Communications 2018, 9: 2807. PMID: 30022026, PMCID: PMC6052101, DOI: 10.1038/s41467-018-04920-3.Peer-Reviewed Original ResearchConceptsBrain statesIndividual differencesBrain-behavior relationshipsFluid intelligence scoresTask-based functional connectivity analysisResting-state fMRI dataBrain functional organizationFunctional connectivity analysisCognitive tasksFluid intelligenceIntelligence scoresFunctional connectivityFMRI dataConnectivity analysisHuman behaviorIndividual traitsTaskCertain tasksFunctional organizationOutperform modelsSuch relationshipsCognitionState manipulationIntelligenceVarianceTask Integration for Connectome-Based Prediction Via Canonical Correlation Analysis
Gao S, Greene A, Constable R, Scheinost D. Task Integration for Connectome-Based Prediction Via Canonical Correlation Analysis. 2018, 87-91. DOI: 10.1109/isbi.2018.8363529.Peer-Reviewed Original ResearchTask conditionsDifferent tasksDifferent cognitive tasksMultiple task conditionsDifferent task conditionsConnectivity dataDifferent cognitive conditionsFunctional connectivity dataHuman Connectome ProjectComputational modelPrediction of behaviorCognitive tasksFluid intelligenceIndividual differencesBehavioral measuresBehavioral predictionsCognitive conditionsSingle taskFunctional connectivityConnectome ProjectComplementary informationTask integrationTaskProof of conceptCanonical correlation analysis