2025
Chronotherapeutic intervention targeting emotion regulation brain circuitry, symptoms, and suicide risk in adolescents and young adults with bipolar disorder: a pilot randomised trial
Kim J, Sankar A, Marks R, Carrubba E, Lecza B, Quatrano S, Spencer L, Constable R, Pittman B, Lebowitz E, Silverman W, Swartz H, Blumberg H. Chronotherapeutic intervention targeting emotion regulation brain circuitry, symptoms, and suicide risk in adolescents and young adults with bipolar disorder: a pilot randomised trial. BMJ Mental Health 2025, 28: e301338. PMID: 39971594, PMCID: PMC11840897, DOI: 10.1136/bmjment-2024-301338.Peer-Reviewed Original ResearchConceptsBipolar disorderEmotion regulationSuicide riskBrain circuitryChronotherapeutic interventionsEmotional face stimuliLeft amygdala responseRisk of bipolar disorderTargeting emotion regulationReduce suicide riskHigher suicide riskYoung adultsFunctional MRI dataPost-treatment improvementAmygdala responsePotential intervention targetsEmotion dysregulationMania symptomsMood episodesFace stimuliCircuitry dysfunctionRegulation therapyDaily rhythmsWeekly sessionsSelf-monitoring
2024
Cognitive Remediation in Patients With Bipolar Disorder: A Randomized Trial by Sequential tDCS and Navigated rTMS Targeting the Primary Visual Cortex
Zhou H, Wang M, Xu T, Zhang X, Zhao X, Tang L, Zhao P, Wang D, Lai J, Wang F, Zhang S, Hu S. Cognitive Remediation in Patients With Bipolar Disorder: A Randomized Trial by Sequential tDCS and Navigated rTMS Targeting the Primary Visual Cortex. CNS Neuroscience & Therapeutics 2024, 30: e70179. PMID: 39703101, PMCID: PMC11659637, DOI: 10.1111/cns.70179.Peer-Reviewed Original ResearchConceptsRepetitive transcranial magnetic stimulationNeuronavigated repetitive transcranial magnetic stimulationTranscranial direct current stimulationBipolar disorderNavigated repetitive transcranial magnetic stimulationNon-invasive brain stimulationDepressive symptomsBD patientsRating ScaleYoung Mania Rating ScaleHamilton Depression Rating ScaleCognitive impairmentTHINC-integrated toolMania Rating ScaleDepression Rating ScaleTranscranial direct current stimulation treatmentImprove cognitive impairmentVisual cortexTHINC-itCognitive remediationDepressive episodeTranscranial magnetic stimulationNeurocognitive effectsNeurocognitive functionDirect current stimulationEfficacy and Safety of Ketamine/Esketamine in Bipolar Depression in a Clinical Setting.
Santucci M, Ansari M, Nikayin S, Radhakrishnan R, Rhee T, Wilkinson S. Efficacy and Safety of Ketamine/Esketamine in Bipolar Depression in a Clinical Setting. The Journal Of Clinical Psychiatry 2024, 85 PMID: 39361411, DOI: 10.4088/jcp.24m15376.Peer-Reviewed Original ResearchConceptsBipolar depressionAcute seriesRisk of affective switchDiagnosis of bipolar depressionRefractory bipolar depressionAcute phaseMADRS scoreAffective switchIntranasal esketamineManic episodesBipolar disorderCohort of patientsAttending psychiatristsSource of morbidityEsketamineSample of patientsIV ketamineMaintenance treatmentDepressionClinical responseHeightened riskClinical outcomesMania/hypomaniaKetamineKetamine/esketamineWhole genome sequencing study of identical twins discordant for psychosis
Ormond C, Ryan N, Hedman A, Cannon T, Sullivan P, Gill M, Hultman C, Heron E, Johansson V, Corvin A. Whole genome sequencing study of identical twins discordant for psychosis. Translational Psychiatry 2024, 14: 313. PMID: 39080272, PMCID: PMC11289105, DOI: 10.1038/s41398-024-02982-0.Peer-Reviewed Original ResearchConceptsCopy number variantsSequencing studiesGenic copy number variantsWhole-genome sequencing studiesRare genic copy number variantsDeleterious missense variantsWhole-genome sequencingExome sequencing studiesGenome sequencing studiesMZ twinsPost-zygotic eventsPairs of MZ twinsGenome sequenceIdentical genomesDNA variantsMissense variantsOverlapped genesPsychotic phenotypesPsychotic disordersBipolar disorderRare variantsMZ twin studiesPhenotypic discordanceTwin studiesTwin pairsFunctional magnetic resonance imaging alternations in suicide attempts individuals and their association with gene expression
Jiang Y, Zhou Y, Xie Y, Zhou J, Cai M, Tang J, Liu F, Ma J, Liu H. Functional magnetic resonance imaging alternations in suicide attempts individuals and their association with gene expression. NeuroImage Clinical 2024, 43: 103645. PMID: 39059208, PMCID: PMC11326948, DOI: 10.1016/j.nicl.2024.103645.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultBipolar DisorderBrainFemaleGene ExpressionHumansMagnetic Resonance ImagingMaleSuicide, AttemptedYoung AdultConceptsFunctional magnetic resonance imagingDepressive disorderSpontaneous brain activityBipolar disorderBrain activityFunctional magnetic resonance imaging abnormalitiesFunctional magnetic resonance imaging changesHistory of attempted suicideVoxel-based meta-analysisBilateral inferior temporal gyrusInferior frontal gyrusPatterns of spontaneous brain activityAllen Human Brain AtlasInferior temporal gyrusBrain activity alterationsBilateral paracentral lobuleHistory of SAHuman Brain AtlasIncreased spontaneous brain activationFrontal gyrusFusiform gyrusRight insulaNeurobiological basisTemporal gyrusEarly developmental periodNeural Complexity Unveiled: Doubly Functionally Independent Primitives (dFIPs) in Psychiatric Risk Score Assessment
Soleimani N, Calhoun V. Neural Complexity Unveiled: Doubly Functionally Independent Primitives (dFIPs) in Psychiatric Risk Score Assessment. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2024, 00: 1-4. PMID: 40039582, DOI: 10.1109/embc53108.2024.10781623.Peer-Reviewed Original ResearchConceptsFunctional network connectivityAutism spectrum disorderBipolar disorderPsychiatric disordersDepressive disorderAdolescent brainNeural underpinningsPolygenic risk scoresPsychiatric riskSpectrum disorderDifferential contributionsDisordersMDDHigh-risk scoreSchizophreniaHealthy controlsRisk scoreScoresIndividualsPsychiatricAutismNetwork connectivityNeuroimagingRisk score assessmentElevated risk scoresEvidence from comprehensive independent validation studies for smooth pursuit dysfunction as a sensorimotor biomarker for psychosis
Meyhoefer I, Sprenger A, Derad D, Grotegerd D, Leenings R, Leehr E, Breuer F, Surmann M, Rolfes K, Arolt V, Romer G, Lappe M, Rehder J, Koutsouleris N, Borgwardt S, Schultze-Lutter F, Meisenzahl E, Kircher T, Keedy S, Bishop J, Ivleva E, McDowell J, Reilly J, Hill S, Pearlson G, Tamminga C, Keshavan M, Gershon E, Clementz B, Sweeney J, Hahn T, Dannlowski U, Lencer R. Evidence from comprehensive independent validation studies for smooth pursuit dysfunction as a sensorimotor biomarker for psychosis. Scientific Reports 2024, 14: 13859. PMID: 38879556, PMCID: PMC11180169, DOI: 10.1038/s41598-024-64487-6.Peer-Reviewed Original ResearchConceptsSmooth pursuit eye movementsPsychosis syndromePursuit eye movementsNon-psychotic bipolar disorderNon-psychotic affective disorderEye movementsSmooth pursuit dysfunctionMultivariate pattern analysisHealthy controlsPsychiatric sampleNeurobiological markersPsychosis probandsPsychotic syndromesAffective disordersPsychosis researchBipolar disorderPsychosis statusPsychosisSensorimotor functionSensorimotor measuresIndividual levelSensorimotor dysfunctionSensorimotorDisordersPattern analysisThe overlap across psychotic disorders: A functional network connectivity analysis
Dini H, Bruni L, Ramsøy T, Calhoun V, Sendi M. The overlap across psychotic disorders: A functional network connectivity analysis. International Journal Of Psychophysiology 2024, 201: 112354. PMID: 38670348, PMCID: PMC11163820, DOI: 10.1016/j.ijpsycho.2024.112354.Peer-Reviewed Original ResearchConceptsFunctional network connectivitySchizoaffective disorderPsychotic disordersHealthy controlsBipolar-Schizophrenia NetworkFunctional network connectivity analysisStatic functional network connectivityResting-state fMRINetwork connectivity analysisPatterns of activityPsychiatric disordersDisorder groupSchizophreniaConnectivity analysisHC groupBipolarConnectivity patternsDisordersPatient groupSymptom scoresGroup of patientsPANSSSchizoaffectiveFMRINetwork connectivityThe Hierarchical Taxonomy of Psychopathology in Clinical High Risk for Psychosis: Validation and Extension
Williams T, Williams A, Cowan H, Walker E, Cannon T, Bearden C, Keshavan M, Cornblatt B, Addington J, Woods S, Perkins D, Mathalon D, Cadenhead K, Stone W, Mittal V. The Hierarchical Taxonomy of Psychopathology in Clinical High Risk for Psychosis: Validation and Extension. Journal Of Psychopathology And Clinical Science 2024, 133: 235-244. PMID: 38546628, PMCID: PMC11273326, DOI: 10.1037/abn0000893.Peer-Reviewed Original ResearchMeSH KeywordsBipolar DisorderHumansLongitudinal StudiesMental DisordersPsychopathologyPsychotic DisordersConceptsHierarchical Taxonomy of PsychopathologyTaxonomy of PsychopathologyClinical high riskHiTOP modelCHR-PChildhood traumaDimensional models of psychopathologyHierarchical taxonomyModels of psychopathologyAttenuated psychotic symptomsBipolar spectrum disordersObsessive-compulsive disorderCHR-P individualsConfirmatory factor analysisPsychotic symptomsPsychotic disordersComorbid diagnosesHiTOPSpectrum disorderPsychosisPsychopathologySocial functioningSelf-reportSpecific hypothesesTest specific hypothesesBipolar symptoms, somatic burden and functioning in older‐age bipolar disorder: A replication study from the global aging & geriatric experiments in bipolar disorder database (GAGE‐BD) project
Sajatovic M, Rej S, Almeida O, Altinbas K, Balanzá‐Martínez V, Barbosa I, Beunders A, Blumberg H, Briggs F, Dols A, Forester B, Forlenza O, Gildengers A, Jimenez E, Klaus F, Lafer B, Mulsant B, Mwangi B, Nunes P, Olagunju A, Oluwaniyi S, Orhan M, Patrick R, Radua J, Rajji T, Sarna K, Schouws S, Simhandl C, Sekhon H, Soares J, Sutherland A, Teixeira A, Tsai S, Vidal‐Rubio S, Vieta E, Yala J, Eyler L. Bipolar symptoms, somatic burden and functioning in older‐age bipolar disorder: A replication study from the global aging & geriatric experiments in bipolar disorder database (GAGE‐BD) project. International Journal Of Geriatric Psychiatry 2024, 39: e6057. PMID: 38511929, DOI: 10.1002/gps.6057.Peer-Reviewed Original ResearchMeSH KeywordsAgedAgingBipolar DisorderDatabases, FactualFemaleHumansMaleManiaMedically Unexplained SymptomsMiddle AgedConceptsOlder age bipolar disorderBipolar Disorder DatabaseSomatic burdenBipolar disorderGAGE-BDAssociated with worse functionSymptom severityBD symptomsAssociated with depression severityOlder-age bipolar disorderGlobal Aging & Geriatric ExperimentsManic symptom severityAssociated with poorer functioningGeriatric experiencesAssociation of depressionBipolar symptomsSevere maniaDepression severityDepressive symptomsLow functioningSomatic conditionsPoor functionWorse functionArchival datasetWave 2Sociodemographic and clinical characteristics of people with oldest older age bipolar disorder in a global sample: Results from the global aging and geriatric experiments in bipolar disorder project
Chen P, Sajatovic M, Briggs F, Mulsant B, Dols A, Gildengers A, Yala J, Beunders A, Blumberg H, Rej S, Forlenza O, Jimenez E, Schouws S, Orhan M, Sutherland A, Vieta E, Tsai S, Sarna K, Eyler L, Investigators T. Sociodemographic and clinical characteristics of people with oldest older age bipolar disorder in a global sample: Results from the global aging and geriatric experiments in bipolar disorder project. International Journal Of Geriatric Psychiatry 2024, 39: e6073. PMID: 38393311, DOI: 10.1002/gps.6073.Peer-Reviewed Original ResearchMeSH KeywordsAgedAgingBipolar DisorderCluster AnalysisCross-Sectional StudiesDatabases, FactualHumansConceptsOlder age bipolar disorderBipolar disorderGAGE-BDSeverity of manic symptomsRates of suicidal thoughtsLower depressive symptomsComorbid physical conditionsClinical characteristics of peopleGeriatric experiencesManic symptomsClinical characteristicsDepressive symptomsSuicidal thoughtsCharacteristics of peoplePhysical burdenDisordersGlobal ageMedical burdenAge categoriesLogistic regression modelsMultinomial logistic regression modelCross-sectional analysisYounger groupMusculoskeletal domainsSymptomsBlood epigenome-wide association studies of suicide attempt in adults with bipolar disorder
Mirza S, Lima C, Del Favero-Campbell A, Rubinstein A, Topolski N, Cabrera-Mendoza B, Kovács E, Blumberg H, Richards J, Williams A, Wemmie J, Magnotta V, Fiedorowicz J, Gaine M, Walss-Bass C, Quevedo J, Soares J, Fries G. Blood epigenome-wide association studies of suicide attempt in adults with bipolar disorder. Translational Psychiatry 2024, 14: 70. PMID: 38296944, PMCID: PMC10831084, DOI: 10.1038/s41398-024-02760-y.Peer-Reviewed Original ResearchMeSH KeywordsAdultBipolar DisorderDNA MethylationEpigenesis, GeneticEpigenomeGenome-Wide Association StudyHumansSuicide, AttemptedConceptsEpigenome-wide association studiesDifferentially methylated regionsDifferentially methylated positionsAssociation studiesCo-methylation network analysisBipolar disorderDNA methylation patternsSuicide attemptsReplication cohortHistory of SAGene ontology analysisSignificant CpG sitesMethylation patternsDNA methylationCpG sitesOntology analysisImmune-related genesEnrichment analysisNon-psychiatric controlsCalcium signalingGenesDNAClinical interviewSA historyNetwork analysisState- and trait-related dysfunctions in bipolar disorder across different mood states: a graph theory study
Chen Y, Zhao P, Pan C, Chang M, Zhang X, Duan J, Wei Y, Tang Y, Wang F. State- and trait-related dysfunctions in bipolar disorder across different mood states: a graph theory study. Journal Of Psychiatry And Neuroscience 2024, 49: e11-e22. PMID: 38238036, PMCID: PMC10803102, DOI: 10.1503/jpn.230069.Peer-Reviewed Original ResearchMeSH KeywordsBipolar DisorderBrainCross-Sectional StudiesDiffusion Tensor ImagingHumansMagnetic Resonance ImagingWhite MatterConceptsDepressed BDBipolar disorderEuthymic BDMood statesManic BDDiffusion-tensor imagingHealthy controlsGenetic riskWhite matter networksGlobal efficiencyFrontolimbic circuitsCross-sectional natureStructural topological propertiesGraph theory approachSecondary analysisMedication effectsLocal network changesMoodLocal efficiencyClinical variablesEpisode countsNetwork changesDisordersStructural networkHigh-risk individuals
2023
Bipolar II disorder: overlooked, stigmatised, romanticised
Ponticiello M. Bipolar II disorder: overlooked, stigmatised, romanticised. The Lancet Psychiatry 2023, 11: 100-101. PMID: 38118460, DOI: 10.1016/s2215-0366(23)00430-3.Peer-Reviewed Original ResearchBipolar DisorderHumansA narrative review of non-racemic amisulpride (SEP-4199) for treatment of depressive symptoms in bipolar disorder and LB-102 for treatment of schizophrenia
Wu J, Kwan A, Rhee T, Ho R, d’Andrea G, Martinotti G, Teopiz K, Ceban F, McIntyre R. A narrative review of non-racemic amisulpride (SEP-4199) for treatment of depressive symptoms in bipolar disorder and LB-102 for treatment of schizophrenia. Expert Review Of Clinical Pharmacology 2023, 16: 1085-1092. PMID: 37864424, DOI: 10.1080/17512433.2023.2274538.Peer-Reviewed Original ResearchMeSH KeywordsAmisulprideAntidepressive AgentsAntipsychotic AgentsBipolar DisorderDepressionDepressive Disorder, MajorHumansSchizophreniaSulpirideConceptsDepressive symptomsSide effectsBipolar disorderRecent phase 2 trialsPhase 2 trialPhase 1 studyTreatment-resistant schizophreniaExtrapyramidal side effectsD2 receptor bindingReceptor-mediated effectsTreatment of schizophreniaMajor depressive disorderImproved treatment strategiesBipolar disorder IDevelopment of SEPAntidepressant effectsDepressive disorderTreatment strategiesPharmacological profileLow dosesNarrative reviewDisorder ISymptomsAmisulprideReceptor bindingDemographic and clinical associations to employment status in older‐age bipolar disorder: Analysis from the GAGE‐BD database project
Mallu A, Chan C, Eyler L, Dols A, Rej S, Blumberg H, Sarna K, Forester B, Patrick R, Forlenza O, Jimenez E, Vieta E, Schouws S, Sutherland A, Yala J, Briggs F, Sajatovic M. Demographic and clinical associations to employment status in older‐age bipolar disorder: Analysis from the GAGE‐BD database project. Bipolar Disorders 2023, 25: 637-647. PMID: 37798096, PMCID: PMC10843228, DOI: 10.1111/bdi.13381.Peer-Reviewed Original ResearchCommentary: Mania in Medically Ill Patients
Garakani A. Commentary: Mania in Medically Ill Patients. Journal Of Psychiatric Practice 2023, 29: 426-427. PMID: 37678372, DOI: 10.1097/pra.0000000000000731.Commentaries, Editorials and LettersConceptsBipolar disorderBehçet's diseasePatient's symptomsManic symptomsMedical settingsMedically Ill PatientsComprehensive medical evaluationPrimary bipolar disorderSecondary maniaIll patientsMedical illnessMedical floorPsychiatric providersCase reportThorough historyEmergency roomEmergency settingMedical evaluationPsychiatric consultationPsychiatric treatmentPatientsFrontal lobeSymptomsDiseaseDisordersSupervised machine learning classification of psychosis biotypes based on brain structure: findings from the Bipolar-Schizophrenia network for intermediate phenotypes (B-SNIP)
Koen J, Lewis L, Rugg M, Clementz B, Keshavan M, Pearlson G, Sweeney J, Tamminga C, Ivleva E. Supervised machine learning classification of psychosis biotypes based on brain structure: findings from the Bipolar-Schizophrenia network for intermediate phenotypes (B-SNIP). Scientific Reports 2023, 13: 12980. PMID: 37563219, PMCID: PMC10415369, DOI: 10.1038/s41598-023-38101-0.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkersBipolar DisorderBrainHumansMagnetic Resonance ImagingPhenotypePsychotic DisordersSchizophreniaConceptsPsychosis biotypesPsychosis casesBrain-based biomarkersLogistic regression modelsT1-weighted imagesBipolar-Schizophrenia NetworkHealthy controlsDisease neurobiologyPsychotic disordersClinical diagnosisStructural MRIBrain structuresGrey matter density mapsDSM diagnosesEvidence of specificityAbove-chance classification accuracyDepression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses
Als T, Kurki M, Grove J, Voloudakis G, Therrien K, Tasanko E, Nielsen T, Naamanka J, Veerapen K, Levey D, Bendl J, Bybjerg-Grauholm J, Zeng B, Demontis D, Rosengren A, Athanasiadis G, Bækved-Hansen M, Qvist P, Bragi Walters G, Thorgeirsson T, Stefánsson H, Musliner K, Rajagopal V, Farajzadeh L, Thirstrup J, Vilhjálmsson B, McGrath J, Mattheisen M, Meier S, Agerbo E, Stefánsson K, Nordentoft M, Werge T, Hougaard D, Mortensen P, Stein M, Gelernter J, Hovatta I, Roussos P, Daly M, Mors O, Palotie A, Børglum A. Depression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses. Nature Medicine 2023, 29: 1832-1844. PMID: 37464041, PMCID: PMC10839245, DOI: 10.1038/s41591-023-02352-1.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphism heritabilityGenome-wide analysisLikely causal genesFunctional genomics dataRisk variantsWide association studyPolygenic burdenPsychiatric disordersCausal genesPolygenic architectureGenomic dataRisk lociAssociation studiesSubgroups of depressionCause of disabilityDepression genetic riskCommon psychiatric disordersPrecision medicine approachCases of depressionOligodendrocyte lineageGenesLociConsiderable sex differencesGABAergic neuronsPsychiatric comorbidityPleiotropic Association of CACNA1C Variants With Neuropsychiatric Disorders
Wang Z, Lin X, Luo X, Xiao J, Zhang Y, Xu J, Wang S, Zhao F, Wang H, Zheng H, Zhang W, Lin C, Tan Z, Cao L, Wang Z, Tan Y, Chen W, Cao Y, Guo X, Pittenger C, Luo X. Pleiotropic Association of CACNA1C Variants With Neuropsychiatric Disorders. Schizophrenia Bulletin 2023, 49: 1174-1184. PMID: 37306960, PMCID: PMC10483336, DOI: 10.1093/schbul/sbad073.Peer-Reviewed Original ResearchConceptsGray matter volumeBipolar disorderNeuropsychiatric disordersIntracranial volumeSingle nucleotide polymorphismsParkinson's diseaseCACNA1C variantsCACNA1C mRNARisk allelesAlcohol use disorderAverage cortical thicknessTotal intracranial volumeMultiple psychiatric disordersFalse discovery rate correctionDifferent neuropsychiatric disordersCortical surface areaBrain cohortCortical thicknessIndependent cohortPsychiatric disordersUse disordersMatter volumeSubcortical structuresSubstance dependenceDisease
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