2023
6. 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. 6. Altered Brain Dynamics Across Bipolar Disorder and Schizophrenia During Rest and Task-Switching Revealed by Overlapping Brain States. Biological Psychiatry 2023, 93: s71. DOI: 10.1016/j.biopsych.2023.02.189.Peer-Reviewed Original ResearchAltered 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 alterationsDisordersPredicting depressed and elevated mood symptomatology in bipolar disorder using brain functional connectomes
Sankar A, Shen X, Colic L, Goldman D, Villa L, Kim J, Pittman B, Scheinost D, Constable R, Blumberg H. Predicting depressed and elevated mood symptomatology in bipolar disorder using brain functional connectomes. Psychological Medicine 2023, 53: 6656-6665. PMID: 36891769, PMCID: PMC10491744, DOI: 10.1017/s003329172300003x.Peer-Reviewed Original ResearchBipolar disorderYoung Mania Rating ScaleMania Rating ScaleFunctional connectomeBrain functional connectomeSymptom scoresHamilton DepressionMagnetic resonance imaging dataEmotion processing taskMood symptomatologyRating ScaleFunctional magnetic resonance imaging (fMRI) dataConnectomeAdultsImaging dataIndependent samplesPredictive abilitySymptomatology
2022
A graph theory neuroimaging approach to distinguish the depression of bipolar disorder from major depressive disorder in adolescents and young adults
Goldman DA, Sankar A, Rich A, Kim JA, Pittman B, Constable RT, Scheinost D, Blumberg HP. A graph theory neuroimaging approach to distinguish the depression of bipolar disorder from major depressive disorder in adolescents and young adults. Journal Of Affective Disorders 2022, 319: 15-26. PMID: 36103935, PMCID: PMC9669784, DOI: 10.1016/j.jad.2022.09.016.Peer-Reviewed Original ResearchConceptsAdolescents/young adultsMajor depressive disorderDepressive disorderYoung adultsICD increasesBipolar disorderInterhemispheric functional connectivityFunctional connectivity differencesSeed-based analysisFunctional connectivity patternsSeed-based connectivityFunctional magnetic resonanceFunctional connectivity measuresBasal gangliaFunctional dysconnectivityIllness progressionTreatment strategiesClinical measuresEarly diagnosisHC groupTargeted treatmentConnectivity differencesSuicide thoughtsFunctional connectivityDeleterious treatmentA Multimodal Imaging Approach to Identify Brain Connectivity Targets for Early Detection, and to Reduce Symptoms and Prevent Progression and Suicide Risk, in Bipolar Disorder
Goldman D, Sankar A, Colic L, Villa L, Kim J, Pittman B, Constable R, Scheinost D, Blumberg H. A Multimodal Imaging Approach to Identify Brain Connectivity Targets for Early Detection, and to Reduce Symptoms and Prevent Progression and Suicide Risk, in Bipolar Disorder. Biological Psychiatry 2022, 91: s38-s39. DOI: 10.1016/j.biopsych.2022.02.114.Peer-Reviewed Original ResearchGraph theory analysis of whole brain functional connectivity to assess disturbances associated with suicide attempts in bipolar disorder
Sankar A, Scheinost D, Goldman DA, Drachman R, Colic L, Villa LM, Kim JA, Gonzalez Y, Marcelo I, Shinomiya M, Pittman B, Lacadie CM, Oquendo MA, Constable RT, Blumberg HP. Graph theory analysis of whole brain functional connectivity to assess disturbances associated with suicide attempts in bipolar disorder. Translational Psychiatry 2022, 12: 7. PMID: 35013103, PMCID: PMC8748935, DOI: 10.1038/s41398-021-01767-z.Peer-Reviewed Original ResearchConceptsIntrinsic connectivity distributionBipolar disorderSuicide attemptsHealthy volunteersFunctional connectivity disturbancesSuicide behaviorWhole-brain functional connectivityPrior suicide attemptsRight anterior insulaBrain functional connectivitySuicidal ideation severityBilateral ventromedial prefrontal cortexFunctional magnetic resonanceSignificant group differencesTemporopolar cortexConnectivity disturbancesBrain targetsFC differencesHigh riskCerebellar cortexVentromedial prefrontal cortexSuicidal ideationOrbitofrontal cortexFunctional connectivitySuicide risk
2021
A graph theory‐based whole brain approach to assess mood state differences in adolescents and young adults with bipolar disorder
Goldman DA, Sankar A, Colic L, Villa L, Kim JA, Pittman B, Constable RT, Scheinost D, Blumberg HP. A graph theory‐based whole brain approach to assess mood state differences in adolescents and young adults with bipolar disorder. Bipolar Disorders 2021, 24: 412-423. PMID: 34665907, PMCID: PMC9016085, DOI: 10.1111/bdi.13144.Peer-Reviewed Original ResearchConceptsLenticular nucleusFunctional connectivityPrefrontal cortexMood statesYoung adultsLimited brain regionsAcute mood statesRight lenticular nucleusBipolar I disorderDorsal prefrontal cortexPrevious neuroimaging studiesWhole-brain approachTemporal functional connectivityFunctional magnetic resonanceLeft prefrontal cortexBrain dysfunctionContralateral homologuesHealthy controlsI disordersDepression scoresICD increasesRight cerebellumBipolar disorderEarly interventionBrain regionsA Graph Theoretical Connectome Measure to Assess Whole Brain Functional Connectivity Disturbances Associated With Suicide Attempts in Bipolar Disorder
Sankar A, Scheinost D, Goldman D, Drachman R, Colic L, Villa L, Kim J, Gonzalez Y, Marcelo I, Shinomiya M, Pittman B, Lacadie C, Oquendo M, Constable R, Blumberg H. A Graph Theoretical Connectome Measure to Assess Whole Brain Functional Connectivity Disturbances Associated With Suicide Attempts in Bipolar Disorder. Biological Psychiatry 2021, 89: s296. DOI: 10.1016/j.biopsych.2021.02.737.Peer-Reviewed Original Research
2020
Mood State Differences in Intrinsic Connectivity Distribution of Adolescents and Young Adults With Bipolar Disorder
Goldman D, Sankar A, Colic L, Spencer L, Lacadie C, Scheinost D, Constable R, Blumberg H. Mood State Differences in Intrinsic Connectivity Distribution of Adolescents and Young Adults With Bipolar Disorder. Biological Psychiatry 2020, 87: s416-s417. DOI: 10.1016/j.biopsych.2020.02.1063.Peer-Reviewed Original Research