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-monitoringPrefrontal 5α-reductase 2 mediates male-specific acute stress response
Cadeddu R, Braccagni G, Floris G, Branca C, Corridori E, Salviati S, Sánchez P, Santovito L, Torres J, Ortega E, Pinna G, Moos P, Scheggi S, Bortolato M. Prefrontal 5α-reductase 2 mediates male-specific acute stress response. Science Advances 2025, 11: eadr0563. PMID: 39841836, PMCID: PMC11753402, DOI: 10.1126/sciadv.adr0563.Peer-Reviewed Original ResearchConceptsMedial prefrontal cortexStress reactivityAcute stressAcute stress reactivitySexually dimorphic effectsAcute stress responsePrefrontal cortexStress responseNeurosteroid allopregnanoloneReduced stress responseDimorphic effectsBrain synthesisKnockdown ratsKnockout ratsAllopregnanoloneAP synthesisRatsSingle-nucleus transcriptomesCortexNeurosteroidsDown-regulationIncreased levelsMaleStressResponseSpecification of claustro-amygdalar and palaeocortical neurons and circuits
Kaur N, Kovner R, Gulden F, Pletikos M, Andrijevic D, Zhu T, Silbereis J, Shibata M, Shibata A, Liu Y, Ma S, Salla N, de Martin X, Klarić T, Burke M, Franjic D, Cho H, Yuen M, Chatterjee I, Soric P, Esakkimuthu D, Moser M, Santpere G, Mineur Y, Pattabiraman K, Picciotto M, Huang H, Sestan N. Specification of claustro-amygdalar and palaeocortical neurons and circuits. Nature 2025, 638: 469-478. PMID: 39814878, PMCID: PMC11821539, DOI: 10.1038/s41586-024-08361-5.Peer-Reviewed Original ResearchConceptsBasolateral amygdala complexPrefrontal cortex connectivityPrefrontal cortexNeuropsychiatric disordersExcitatory neuronsSymptoms of neuropsychiatric disordersEarly-life disruptionAmygdala complexPiriform cortexTemporal cortexDevelopmental shiftReciprocal connectionsCortexClaustrumBehavior modificationSensory informationTranscription factor SOX4DisordersTfap2dNeuronsSimilar alterationsCross-species analysisPiriformSOX11Transcription factors
2024
Neural responses to stress and alcohol cues in individuals with pain with and without alcohol use disorder
Radoman M, McGowan C, Heilner E, Lacadie C, Sinha R. Neural responses to stress and alcohol cues in individuals with pain with and without alcohol use disorder. Addiction Biology 2024, 29: e70010. PMID: 39660770, PMCID: PMC11632857, DOI: 10.1111/adb.70010.Peer-Reviewed Original ResearchConceptsAnterior insular cortexAlcohol use disorderRight anterior insular cortexOrbitofrontal cortexUse disorderAlcohol cue-induced cravingStages of alcohol use disorderDorsal anterior cingulate cortexLeft anterior insular cortexNeural responses to stressAlcohol cue-reactivityCue-elicited cravingOFC responsesRight dorsal caudateCue-induced cravingAnterior cingulate cortexVoxel-based analysisResponse to stressPreoccupation/anticipation stageAlcohol cuesCraving assessmentCue-reactivityAmygdala hyperactivationAlcohol cravingCue exposureSingle-cell transcriptomic and proteomic analysis of Parkinson’s disease brains
Zhu B, Park J, Coffey S, Russo A, Hsu I, Wang J, Su C, Chang R, Lam T, Gopal P, Ginsberg S, Zhao H, Hafler D, Chandra S, Zhang L. Single-cell transcriptomic and proteomic analysis of Parkinson’s disease brains. Science Translational Medicine 2024, 16: eabo1997. PMID: 39475571, DOI: 10.1126/scitranslmed.abo1997.Peer-Reviewed Original ResearchConceptsProteomic analysisAlzheimer's diseasePrefrontal cortexBrain cell typesGenetics of PDParkinson's diseaseCell-cell interactionsChaperone expressionSingle-nucleus transcriptomesExpressed genesTranscriptional changesPostmortem human brainPostmortem brain tissueDiseased brainSynaptic proteinsSingle-cellDown-regulationBrain cell populationsBrain regionsCell typesNeurodegenerative disordersLate-stage PDParkinson's disease brainsDisease etiologyNeuronal vulnerabilityMulti-omics profiling of DNA methylation and gene expression alterations in human cocaine use disorder
Zillich E, Belschner H, Avetyan D, Andrade-Brito D, Martínez-Magaña J, Frank J, Mechawar N, Turecki G, Cabana-Domínguez J, Fernàndez-Castillo N, Cormand B, Montalvo-Ortiz J, Nöthen M, Hansson A, Rietschel M, Spanagel R, Witt S, Zillich L. Multi-omics profiling of DNA methylation and gene expression alterations in human cocaine use disorder. Translational Psychiatry 2024, 14: 428. PMID: 39384764, PMCID: PMC11464785, DOI: 10.1038/s41398-024-03139-9.Peer-Reviewed Original ResearchConceptsCocaine use disorderUse disorderAlternative splicingHuman prefrontal cortexProfiling of DNA methylationBrodmann area 9Differential alternative splicingDeregulated biological processesPostmortem brain tissueMulti-omics approachCocaine intakeMulti-omics studiesPrefrontal cortexBrain alterationsMulti-omics profilingGene expression alterationsArea 9Fatty acid metabolismReceptor-targeting drugsSpliced transcriptsEpigenome-wideDNA methylationNeuronal morphogenesisAS changesDrug repositioning analysisCharacterizing the Most Vulnerable Prefrontal Cortical Neurons in Schizophrenia
Arnsten A, Datta D. Characterizing the Most Vulnerable Prefrontal Cortical Neurons in Schizophrenia. American Journal Of Psychiatry 2024, 181: 861-864. PMID: 39350618, PMCID: PMC11714303, DOI: 10.1176/appi.ajp.20240731.Peer-Reviewed Original ResearchSingle-cell genomics and regulatory networks for 388 human brains
Emani P, Liu J, Clarke D, Jensen M, Warrell J, Gupta C, Meng R, Lee C, Xu S, Dursun C, Lou S, Chen Y, Chu Z, Galeev T, Hwang A, Li Y, Ni P, Zhou X, Bakken T, Bendl J, Bicks L, Chatterjee T, Cheng L, Cheng Y, Dai Y, Duan Z, Flaherty M, Fullard J, Gancz M, Garrido-Martín D, Gaynor-Gillett S, Grundman J, Hawken N, Henry E, Hoffman G, Huang A, Jiang Y, Jin T, Jorstad N, Kawaguchi R, Khullar S, Liu J, Liu J, Liu S, Ma S, Margolis M, Mazariegos S, Moore J, Moran J, Nguyen E, Phalke N, Pjanic M, Pratt H, Quintero D, Rajagopalan A, Riesenmy T, Shedd N, Shi M, Spector M, Terwilliger R, Travaglini K, Wamsley B, Wang G, Xia Y, Xiao S, Yang A, Zheng S, Gandal M, Lee D, Lein E, Roussos P, Sestan N, Weng Z, White K, Won H, Girgenti M, Zhang J, Wang D, Geschwind D, Gerstein M, Akbarian S, Abyzov A, Ahituv N, Arasappan D, Almagro Armenteros J, Beliveau B, Berretta S, Bharadwaj R, Bhattacharya A, Brennand K, Capauto D, Champagne F, Chatzinakos C, Chen H, Cheng L, Chess A, Chien J, Clement A, Collado-Torres L, Cooper G, Crawford G, Dai R, Daskalakis N, Davila-Velderrain J, Deep-Soboslay A, Deng C, DiPietro C, Dracheva S, Drusinsky S, Duong D, Eagles N, Edelstein J, Galani K, Girdhar K, Goes F, Greenleaf W, Guo H, Guo Q, Hadas Y, Hallmayer J, Han X, Haroutunian V, He C, Hicks S, Ho M, Ho L, Huang Y, Huuki-Myers L, Hyde T, Iatrou A, Inoue F, Jajoo A, Jiang L, Jin P, Jops C, Jourdon A, Kellis M, Kleinman J, Kleopoulos S, Kozlenkov A, Kriegstein A, Kundaje A, Kundu S, Li J, Li M, Lin X, Liu S, Liu C, Loupe J, Lu D, Ma L, Mariani J, Martinowich K, Maynard K, Myers R, Micallef C, Mikhailova T, Ming G, Mohammadi S, Monte E, Montgomery K, Mukamel E, Nairn A, Nemeroff C, Norton S, Nowakowski T, Omberg L, Page S, Park S, Patowary A, Pattni R, Pertea G, Peters M, Pinto D, Pochareddy S, Pollard K, Pollen A, Przytycki P, Purmann C, Qin Z, Qu P, Raj T, Reach S, Reimonn T, Ressler K, Ross D, Rozowsky J, Ruth M, Ruzicka W, Sanders S, Schneider J, Scuderi S, Sebra R, Seyfried N, Shao Z, Shieh A, Shin J, Skarica M, Snijders C, Song H, State M, Stein J, Steyert M, Subburaju S, Sudhof T, Snyder M, Tao R, Therrien K, Tsai L, Urban A, Vaccarino F, van Bakel H, Vo D, Voloudakis G, Wang T, Wang S, Wang Y, Wei Y, Weimer A, Weinberger D, Wen C, Whalen S, Willsey A, Wong W, Wu H, Wu F, Wuchty S, Wylie D, Yap C, Zeng B, Zhang P, Zhang C, Zhang B, Zhang Y, Ziffra R, Zeier Z, Zintel T. Single-cell genomics and regulatory networks for 388 human brains. Science 2024, 384: eadi5199. PMID: 38781369, PMCID: PMC11365579, DOI: 10.1126/science.adi5199.Peer-Reviewed Original ResearchConceptsSingle-cell genomicsSingle-cell expression quantitative trait locusExpression quantitative trait lociDrug targetsQuantitative trait lociPopulation-level variationSingle-cell expressionCell typesDisease-risk genesTrait lociGene familyRegulatory networksGene expressionCell-typeMultiomics datasetsSingle-nucleiGenomeGenesCellular changesHeterogeneous tissuesExpressionCellsChromatinLociMultiomicsSingle-cell multi-cohort dissection of the schizophrenia transcriptome
Ruzicka W, Mohammadi S, Fullard J, Davila-Velderrain J, Subburaju S, Tso D, Hourihan M, Jiang S, Lee H, Bendl J, Voloudakis G, Haroutunian V, Hoffman G, Roussos P, Kellis M, Akbarian S, Abyzov A, Ahituv N, Arasappan D, Almagro Armenteros J, Beliveau B, Berretta S, Bharadwaj R, Bhattacharya A, Bicks L, Brennand K, Capauto D, Champagne F, Chatterjee T, Chatzinakos C, Chen Y, Chen H, Cheng Y, Cheng L, Chess A, Chien J, Chu Z, Clarke D, Clement A, Collado-Torres L, Cooper G, Crawford G, Dai R, Daskalakis N, Deep-Soboslay A, Deng C, DiPietro C, Dracheva S, Drusinsky S, Duan Z, Duong D, Dursun C, Eagles N, Edelstein J, Emani P, Galani K, Galeev T, Gandal M, Gaynor S, Gerstein M, Geschwind D, Girdhar K, Goes F, Greenleaf W, Grundman J, Guo H, Guo Q, Gupta C, Hadas Y, Hallmayer J, Han X, Hawken N, He C, Henry E, Hicks S, Ho M, Ho L, Huang Y, Huuki-Myers L, Hwang A, Hyde T, Iatrou A, Inoue F, Jajoo A, Jensen M, Jiang L, Jin P, Jin T, Jops C, Jourdon A, Kawaguchi R, Kleinman J, Kleopoulos S, Kozlenkov A, Kriegstein A, Kundaje A, Kundu S, Lee C, Lee D, Li J, Li M, Lin X, Liu S, Liu J, Liu J, Liu C, Liu S, Lou S, Loupe J, Lu D, Ma S, Ma L, Margolis M, Mariani J, Martinowich K, Maynard K, Mazariegos S, Meng R, Myers R, Micallef C, Mikhailova T, Ming G, Monte E, Montgomery K, Moore J, Moran J, Mukamel E, Nairn A, Nemeroff C, Ni P, Norton S, Nowakowski T, Omberg L, Page S, Park S, Patowary A, Pattni R, Pertea G, Peters M, Phalke N, Pinto D, Pjanic M, Pochareddy S, Pollard K, Pollen A, Pratt H, Przytycki P, Purmann C, Qin Z, Qu P, Quintero D, Raj T, Rajagopalan A, Reach S, Reimonn T, Ressler K, Ross D, Rozowsky J, Ruth M, Sanders S, Schneider J, Scuderi S, Sebra R, Sestan N, Seyfried N, Shao Z, Shedd N, Shieh A, Shin J, Skarica M, Snijders C, Song H, State M, Stein J, Steyert M, Sudhof T, Snyder M, Tao R, Therrien K, Tsai L, Urban A, Vaccarino F, van Bakel H, Vo D, Wamsley B, Wang T, Wang S, Wang D, Wang Y, Warrell J, Wei Y, Weimer A, Weinberger D, Wen C, Weng Z, Whalen S, White K, Willsey A, Won H, Wong W, Wu H, Wu F, Wuchty S, Wylie D, Xu S, Yap C, Zeng B, Zhang P, Zhang C, Zhang B, Zhang J, Zhang Y, Zhou X, Ziffra R, Zeier Z, Zintel T. Single-cell multi-cohort dissection of the schizophrenia transcriptome. Science 2024, 384: eadg5136. PMID: 38781388, DOI: 10.1126/science.adg5136.Peer-Reviewed Original ResearchConceptsGenetic risk factorsRisk factorsTranscriptional changesHeterogeneity of schizophreniaNeuronal cell statesSchizophrenia pathophysiologySingle-cell dissectionExcitatory neuronsEffective therapySchizophrenia transcriptomicsCortical cytoarchitectureSingle-cell atlasGenomic variantsCell groupsHuman prefrontal cortexMolecular pathwaysSchizophreniaTranscriptional alterationsTranscriptomic changesPrefrontal cortexCell statesAlterationsTherapyPathophysiologyDissectionA data-driven single-cell and spatial transcriptomic map of the human prefrontal cortex
Huuki-Myers L, Spangler A, Eagles N, Montgomery K, Kwon S, Guo B, Grant-Peters M, Divecha H, Tippani M, Sriworarat C, Nguyen A, Ravichandran P, Tran M, Seyedian A, Hyde T, Kleinman J, Battle A, Page S, Ryten M, Hicks S, Martinowich K, Collado-Torres L, Maynard K, Akbarian S, Abyzov A, Ahituv N, Arasappan D, Almagro Armenteros J, Beliveau B, Bendl J, Berretta S, Bharadwaj R, Bhattacharya A, Bicks L, Brennand K, Capauto D, Champagne F, Chatterjee T, Chatzinakos C, Chen Y, Chen H, Cheng Y, Cheng L, Chess A, Chien J, Chu Z, Clarke D, Clement A, Collado-Torres L, Cooper G, Crawford G, Dai R, Daskalakis N, Davila-Velderrain J, Deep-Soboslay A, Deng C, DiPietro C, Dracheva S, Drusinsky S, Duan Z, Duong D, Dursun C, Eagles N, Edelstein J, Emani P, Fullard J, Galani K, Galeev T, Gandal M, Gaynor S, Gerstein M, Geschwind D, Girdhar K, Goes F, Greenleaf W, Grundman J, Guo H, Guo Q, Gupta C, Hadas Y, Hallmayer J, Han X, Haroutunian V, Hawken N, He C, Henry E, Hicks S, Ho M, Ho L, Hoffman G, Huang Y, Huuki-Myers L, Hwang A, Hyde T, Iatrou A, Inoue F, Jajoo A, Jensen M, Jiang L, Jin P, Jin T, Jops C, Jourdon A, Kawaguchi R, Kellis M, Kleinman J, Kleopoulos S, Kozlenkov A, Kriegstein A, Kundaje A, Kundu S, Lee C, Lee D, Li J, Li M, Lin X, Liu S, Liu J, Liu J, Liu C, Liu S, Lou S, Loupe J, Lu D, Ma S, Ma L, Margolis M, Mariani J, Martinowich K, Maynard K, Mazariegos S, Meng R, Myers R, Micallef C, Mikhailova T, Ming G, Mohammadi S, Monte E, Montgomery K, Moore J, Moran J, Mukamel E, Nairn A, Nemeroff C, Ni P, Norton S, Nowakowski T, Omberg L, Page S, Park S, Patowary A, Pattni R, Pertea G, Peters M, Phalke N, Pinto D, Pjanic M, Pochareddy S, Pollard K, Pollen A, Pratt H, Przytycki P, Purmann C, Qin Z, Qu P, Quintero D, Raj T, Rajagopalan A, Reach S, Reimonn T, Ressler K, Ross D, Roussos P, Rozowsky J, Ruth M, Ruzicka W, Sanders S, Schneider J, Scuderi S, Sebra R, Sestan N, Seyfried N, Shao Z, Shedd N, Shieh A, Shin J, Skarica M, Snijders C, Song H, State M, Stein J, Steyert M, Subburaju S, Sudhof T, Snyder M, Tao R, Therrien K, Tsai L, Urban A, Vaccarino F, van Bakel H, Vo D, Voloudakis G, Wamsley B, Wang T, Wang S, Wang D, Wang Y, Warrell J, Wei Y, Weimer A, Weinberger D, Wen C, Weng Z, Whalen S, White K, Willsey A, Won H, Wong W, Wu H, Wu F, Wuchty S, Wylie D, Xu S, Yap C, Zeng B, Zhang P, Zhang C, Zhang B, Zhang J, Zhang Y, Zhou X, Ziffra R, Zeier Z, Zintel T. A data-driven single-cell and spatial transcriptomic map of the human prefrontal cortex. Science 2024, 384: eadh1938. PMID: 38781370, PMCID: PMC11398705, DOI: 10.1126/science.adh1938.Peer-Reviewed Original ResearchConceptsRNA sequencing dataCell type compositionGene expression platformSpatial transcriptomics technologiesAnterior-posterior axisCell-cell interactionsTranscriptome mapExpression platformHuman dorsolateral prefrontal cortexTranscriptomic technologiesSingle-cellCell typesPrefrontal cortexMolecular organizationDorsolateral prefrontal cortexHuman prefrontal cortexCritical reasoning on the co-expression module QTL in the dorsolateral prefrontal cortex
Cote A, Young H, Huckins L. Critical reasoning on the co-expression module QTL in the dorsolateral prefrontal cortex. Human Genetics And Genomics Advances 2024, 5: 100311. PMID: 38773772, PMCID: PMC11214266, DOI: 10.1016/j.xhgg.2024.100311.Peer-Reviewed Original ResearchConceptsExpression quantitative trait lociGene co-expressionCo-expressionExpression quantitative trait locus methodGenetic variantsComplex trait heritabilityMultiple testing burdenGene-based testsQuantitative trait lociTrans-eQTLsCis-eQTLsRegulatory variationSequencing datasetsTrait lociGene regulationTrait heritabilityGene functionGene modulesReal-data applicationModule genesGenesTesting burdenDorsolateral prefrontal cortexVariantsComparison to prior studiesVentromedial prefrontal cortex activation and neurofeedback modulation during episodic future thinking for individuals with suicidal thoughts and behaviors
Aupperle R, Kuplicki R, Tsuchiyagaito A, Akeman E, Sturycz-Taylor C, DeVille D, Lasswell T, Misaki M, Berg H, McDermott T, Touthang J, Ballard E, Cha C, Schacter D, Paulus M. Ventromedial prefrontal cortex activation and neurofeedback modulation during episodic future thinking for individuals with suicidal thoughts and behaviors. Behaviour Research And Therapy 2024, 176: 104522. PMID: 38547724, PMCID: PMC11103812, DOI: 10.1016/j.brat.2024.104522.Peer-Reviewed Original ResearchMeSH KeywordsDepressive Disorder, MajorHumansMagnetic Resonance ImagingNeurofeedbackPrefrontal CortexSuicidal IdeationConceptsEpisodic future thinkingFuture thinkingSuicidal thoughtsEFT conditionEpisodic future thinking taskVentromedial prefrontal cortex activityReal-time fMRI neurofeedbackVentromedial prefrontal cortexPrefrontal cortex activityVmPFC activityPrefrontal cortexFMRI neurofeedbackDepressive disorderPersonally-relevantNeutral eventsCortex activityVmPFCNeural responsesStudy 1Study 2Neurofeedback protocolMDDNeurofeedbackTreatment targetSTB groupThe sinking platform test: a novel paradigm to measure persistence in animal models
Floris G, Godar S, Braccagni G, Piras I, Ravens A, Zanda M, Huentelman M, Bortolato M. The sinking platform test: a novel paradigm to measure persistence in animal models. Neuropsychopharmacology 2024, 49: 1373-1382. PMID: 38396257, PMCID: PMC11251282, DOI: 10.1038/s41386-024-01827-0.Peer-Reviewed Original ResearchConceptsChronic administration of fluoxetinePrefrontal cortex of miceWeeks of social isolationAdministration of fluoxetineMeasure persistenceGoal-directed actionsSocially isolated miceMitigate depression riskCortex of micePlatform testVoluntary wheel runningChronic haloperidolPrefrontal cortexTemperamental traitsImipramine treatmentNeurobiological foundationsBehavioral tasksChronic stressChronic administrationImmediate-early genesFailure TrialWheel runningDepression riskAnimal modelsNovel interventionsSex differences in the effects of individual anxiety state on regional responses to negative emotional scenes
Chaudhary S, Wong H, Chen Y, Zhang S, Li C. Sex differences in the effects of individual anxiety state on regional responses to negative emotional scenes. Biology Of Sex Differences 2024, 15: 15. PMID: 38351045, PMCID: PMC10863151, DOI: 10.1186/s13293-024-00591-6.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnxietyAnxiety DisordersEmotionsFemaleHumansMagnetic Resonance ImagingMalePrefrontal CortexSex CharacteristicsConceptsMedial prefrontal cortexState-Trait Anxiety InventoryFunctional magnetic resonance imagingState-Trait Anxiety Inventory scoresSuperior frontal gyrusGeneralized psychophysiological interactionEmotional processingFrontal gyrusLingual gyrusMedial prefrontal cortex connectivityMedial prefrontal cortex activationSex differencesRight inferior frontal gyrusResponse to negative emotionsRight superior frontal gyrusFunctional magnetic resonance imaging dataReaction timeImpact emotional processingNegative emotion processingInferior frontal gyrusLeft parahippocampal gyrusNegative emotional scenesMarkers of anxietyRepeated-measures analysis of covarianceLevels of anxietyThe endogenous opioid system in the medial prefrontal cortex mediates ketamine’s antidepressant-like actions
Jiang C, DiLeone R, Pittenger C, Duman R. The endogenous opioid system in the medial prefrontal cortex mediates ketamine’s antidepressant-like actions. Translational Psychiatry 2024, 14: 90. PMID: 38346984, PMCID: PMC10861497, DOI: 10.1038/s41398-024-02796-0.Peer-Reviewed Original ResearchMeSH KeywordsAnalgesics, OpioidAnimalsAntidepressive Agentsbeta-EndorphinKetamineNaltrexonePrefrontal CortexRatsConceptsMedial prefrontal cortexAction of ketamineEndogenous opioid systemAntidepressant-like actionOpioid systemB-endorphinKetamine treatmentAntidepressant-like actions of ketamineBehavioral actions of ketamineAntidepressant actions of ketamineBehavioral effects of ketamineSingle dose of ketamineAntidepressant-like effectsLevels of B-endorphinAcute systemic administrationEffects of ketamineDose of ketamineOpioid receptor antagonistAntidepressant actionPrefrontal cortexActivation of opioid receptorsBehavioral effectsBehavioral actionsCompetitive opioid receptor antagonistOpioid receptorsImpaired synaptic function and hyperexcitability of the pyramidal neurons in the prefrontal cortex of autism-associated Shank3 mutant dogs
Zhu F, Shi Q, Jiang Y, Zhang Y, Zhao H. Impaired synaptic function and hyperexcitability of the pyramidal neurons in the prefrontal cortex of autism-associated Shank3 mutant dogs. Molecular Autism 2024, 15: 9. PMID: 38297387, PMCID: PMC10829216, DOI: 10.1186/s13229-024-00587-4.Peer-Reviewed Original ResearchConceptsPrefrontal cortexPyramidal neuronsSHANK3 mutationsPrefrontal cortex neuronal activityPrefrontal cortex pyramidal neuronsSocial behaviorBrain slicesPrefrontal cortex's roleSynaptic transmissionPrefrontal cortex layersStudy social cognitionAutism spectrum disorderAutism-like behaviorsDendritic spine morphologyReduced dendritic complexitySocial cognitionSocial impairmentBehavioral alterationsNeural mechanismsExcitatory synaptic transmissionMutant rodent modelsHeightened anxietySpectrum disorderSpine densityImpaired synaptic functionResponding to threat: Associations between neural reactivity to and behavioral avoidance of threat in pediatric anxiety
Kitt E, Zacharek S, Odriozola P, Nardini C, Hommel G, Martino A, Anderson T, Spencer H, Broussard A, Dean J, Marin C, Silverman W, Lebowitz E, Gee D. Responding to threat: Associations between neural reactivity to and behavioral avoidance of threat in pediatric anxiety. Journal Of Affective Disorders 2024, 351: 818-826. PMID: 38290579, DOI: 10.1016/j.jad.2024.01.204.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAmygdalaAnxietyAnxiety DisordersBrain MappingChildHumansMagnetic Resonance ImagingPrefrontal CortexConceptsReactivity to threatMeasures of avoidanceVentral anterior insulaClinician-based measuresNeural reactivityPediatric anxietyAnxiety disordersBehavioral avoidanceFunctional magnetic resonance imaging taskAmygdala functional connectivityVentromedial prefrontal cortexTreatment-seeking sampleAvoidance of threatClinically significant constructsAssociated with tasksGeneralizability of findingsPrefrontal cortexAnterior insulaNeural findingsLaboratory tasksFunctional connectivityAnxietyAmygdalaAvoidanceSignificant constructs
2023
Orbitofrontal intronic circular RNA from Nrxn3 mediates reward learning and motivation for reward
Dabrowski K, Floris G, Gillespie A, Daws S. Orbitofrontal intronic circular RNA from Nrxn3 mediates reward learning and motivation for reward. Progress In Neurobiology 2023, 232: 102546. PMID: 38036039, PMCID: PMC10843848, DOI: 10.1016/j.pneurobio.2023.102546.Peer-Reviewed Original ResearchConceptsSucrose self-administrationOrbitofrontal cortexSelf-administrationReward behaviorBrain reward circuitryReward-seeking behaviorRegulating reward behaviorReward circuitryReward learningAppetitive rewardRewardSeeking behaviorRegulation of gene expressionMemoryNeurexin 3NRXN3Splicing factor SAM68MotivationRNA sequencingTranscriptome profilingLearningKnock-downCortexGene expressionBehaviorGene expression in the primate orbitofrontal cortex related to anxious temperament
Kenwood M, Souaiaia T, Kovner R, Fox A, French D, Oler J, Roseboom P, Riedel M, Mueller S, Kalin N. Gene expression in the primate orbitofrontal cortex related to anxious temperament. Proceedings Of The National Academy Of Sciences Of The United States Of America 2023, 120: e2305775120. PMID: 38011550, PMCID: PMC10710052, DOI: 10.1073/pnas.2305775120.Peer-Reviewed Original ResearchConceptsStress-related psychopathologyAnxiety disordersAnxious temperamentPsychiatric disordersBehavioral inhibitionOrbitofrontal cortexAnxiety-related brain regionsPrevalent psychiatric disordersIndividual differencesPrimate orbitofrontal cortexLaser capture microdissectionGlucocorticoid signalingEarly riskTreatment targetsAnxiety-related temperamentBrain regionsSubcortical structuresPrefrontal cortexTranslational modelSignificant sufferingDisordersCortexCapture microdissectionThe effects of experience of discrimination and acculturation during pregnancy on the developing offspring brain
Spann M, Alleyne K, Holland C, Davids A, Pierre-Louis A, Bang C, Oyeneye V, Kiflom R, Shea E, Cheng B, Peterson B, Monk C, Scheinost D. The effects of experience of discrimination and acculturation during pregnancy on the developing offspring brain. Neuropsychopharmacology 2023, 49: 476-485. PMID: 37968451, PMCID: PMC10724278, DOI: 10.1038/s41386-023-01765-3.Peer-Reviewed Original Research
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