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 treatment
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 regions