2020
Loss of nucleus accumbens low-frequency fluctuations is a signature of chronic pain
Makary MM, Polosecki P, Cecchi GA, DeAraujo IE, Barron DS, Constable TR, Whang PG, Thomas DA, Mowafi H, Small DM, Geha P. Loss of nucleus accumbens low-frequency fluctuations is a signature of chronic pain. Proceedings Of The National Academy Of Sciences Of The United States Of America 2020, 117: 10015-10023. PMID: 32312809, PMCID: PMC7211984, DOI: 10.1073/pnas.1918682117.Peer-Reviewed Original ResearchConceptsChronic low back pain patientsLow back pain patientsChronic painPain patientsChronic phaseChronic back pain patientsBack pain patientsRostral anterior cingulate cortexAnterior cingulate cortexAdditional independent datasetsRisk of transitionResting-state activityPersistent painBack painAccumbens volumeHealthy controlsNucleus accumbensPainSeparate cohortPatientsCingulate cortexPrevalent diseaseFunctional connectivityLoss of nucleiSubcortical signatures
2019
Differential Resting State Connectivity Responses to Glycemic State in Type 1 Diabetes
Parikh L, Seo D, Lacadie C, Belfort-Deaguiar R, Groskreutz D, Hamza M, Dai F, Scheinost D, Sinha R, Constable R, Sherwin R, Hwang JJ. Differential Resting State Connectivity Responses to Glycemic State in Type 1 Diabetes. The Journal Of Clinical Endocrinology & Metabolism 2019, 105: dgz004. PMID: 31511876, PMCID: PMC6936965, DOI: 10.1210/clinem/dgz004.Peer-Reviewed Original ResearchConceptsState functional connectivityHealthy controlsDefault mode networkType 1 diabetes mellitusFunctional connectivityImpact of T1DMAcademic medical centerAngular gyrus connectivityBlood oxygenation levelState connectivity patternsFunctional connectivity analysisHyperinsulinemic euglycemicHypoglycemic unawarenessHypoglycemia unawarenessDiabetes mellitusHypoglycemic clampHypoglycemia awarenessFunctional outcomeMild hypoglycemiaGlycemic stateObservational studyMedical CenterT1DMHC volunteersType 1
2018
Task-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 manipulationIntelligenceVariance
2017
Can brain state be manipulated to emphasize individual differences in functional connectivity?
Finn ES, Scheinost D, Finn DM, Shen X, Papademetris X, Constable RT. Can brain state be manipulated to emphasize individual differences in functional connectivity? NeuroImage 2017, 160: 140-151. PMID: 28373122, PMCID: PMC8808247, DOI: 10.1016/j.neuroimage.2017.03.064.Peer-Reviewed Original ResearchConceptsIndividual differencesFunctional connectivityBrain statesIndividual differences researchBrain functional organizationHuman Connectome ProjectDifferences researchBrain activityConnectome ProjectSubject variabilityNetworks of interestBehavioral phenotypesCertain tasksFunctional organizationDefault stateNeutral backdropOutline questionsFuture studiesConnectivityTaskUsing connectome-based predictive modeling to predict individual behavior from brain connectivity
Shen X, Finn ES, Scheinost D, Rosenberg MD, Chun MM, Papademetris X, Constable RT. Using connectome-based predictive modeling to predict individual behavior from brain connectivity. Nature Protocols 2017, 12: 506-518. PMID: 28182017, PMCID: PMC5526681, DOI: 10.1038/nprot.2016.178.Peer-Reviewed Original Research
2016
Reorganization of brain connectivity in obesity
Geha P, Cecchi G, Constable R, Abdallah C, Small DM. Reorganization of brain connectivity in obesity. Human Brain Mapping 2016, 38: 1403-1420. PMID: 27859973, PMCID: PMC6866793, DOI: 10.1002/hbm.23462.Peer-Reviewed Original ResearchConceptsGlobal brain connectivityDorsal attention networkPeripheral metabolic dysfunctionHum Brain MappSuperior parietal lobuleSomatomotor cortexMetabolic dysfunctionVentrolateral prefrontal cortexPremotor areasCaudate nucleusNeurocognitive impairmentObesityAnterior hippocampusVisual cortexBrain regionsParietal lobuleBrain functionPrefrontal cortexBrain connectivityMilkshake consumptionCortexFeeding decisionsBrain organizationInsulaHomeostatic stateLanguage at rest: A longitudinal study of intrinsic functional connectivity in preterm children
Rowlands MA, Scheinost D, Lacadie C, Vohr B, Li F, Schneider KC, Constable R, Ment LR. Language at rest: A longitudinal study of intrinsic functional connectivity in preterm children. NeuroImage Clinical 2016, 11: 149-157. PMID: 26937383, PMCID: PMC4753807, DOI: 10.1016/j.nicl.2016.01.016.Peer-Reviewed Original ResearchConceptsLeft occipito-temporal cortexOccipito-temporal cortexVerbal IQPerformance IQLanguage deficitsSignificant connectivity reductionsPreterm childrenIntrinsic functional connectivityFull IQFunctional connectivity networksFunctional connectivityIQAge 8PT childrenConnectivity reductionLong-range connectionsWorse performanceLinear mixed effects modelsLongitudinal studyConnectivity networksAge 16PT subjectsTS childrenCortical connectivityTerm children
2015
Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity
Finn ES, Shen X, Scheinost D, Rosenberg MD, Huang J, Chun MM, Papademetris X, Constable RT. Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Nature Neuroscience 2015, 18: 1664-1671. PMID: 26457551, PMCID: PMC5008686, DOI: 10.1038/nn.4135.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrainBrain MappingConnectomeFemaleHumansMagnetic Resonance ImagingMaleNerve NetNeural PathwaysYoung Adult
1996
Cerebral organization of component processes in reading
Pugh K, Shaywitz B, Shaywitz S, Constable R, Skudlarski P, Fulbright R, Bronen R, Shankweiler D, Katz L, Fletcher J, Gore J. Cerebral organization of component processes in reading. Brain 1996, 119: 1221-1238. PMID: 8813285, DOI: 10.1093/brain/119.4.1221.Peer-Reviewed Original ResearchMeSH KeywordsAdultCerebral CortexFemaleHumansMaleNeural PathwaysReadingTask Performance and AnalysisConceptsFunctional magnetic resonance imagingCerebral organizationTemporal sitesLexical-semantic processingReading-related processesWord identification processOrthographic processingPhonological processingSuperior temporal sitesSemantic tasksComponent processesSignificant sex differencesSex differencesProcessingPhonological