2025
Artificial intelligence chatbots as sources for patient education material on child abuse
Nguyen L, Tran V, Li J, Baughn D, Shotwell J, Gushanas K, Hasan S, Falls L, Zhong R. Artificial intelligence chatbots as sources for patient education material on child abuse. Child Protection And Practice 2025, 5: 100167. DOI: 10.1016/j.chipro.2025.100167.Peer-Reviewed Original ResearchNational Child Traumatic Stress NetworkChildhood maltreatmentChild abuseField of psychiatryPatient education materialsInterpersonal traumaPediatric psychologistsPsychiatric disordersChild psychiatristsAbuseReading levelEducational materialsStress networkWord countMaltreatmentActionability of patient education materialsSource of medical informationYears of ageAI chatbotsChildrenArtificial intelligenceNeglectRecommended reading levelChildhoodSecondary outcomesThe Psychiatric Genomics Consortium: discoveries and directions
Agrawal A, Bulik C, Abebe D, Andreassen O, Atkinson E, Choi K, Corvin A, Davies H, Davis L, Docherty A, Edenberg H, Franke B, Gelernter J, Giusti-Rodríguez P, Hettema J, Hjerling-Leffler J, Huang H, Johnson E, Lewis C, Lu Y, Lynall M, Martin J, McIntosh A, Montalvo-Ortiz J, Mullins N, Nievergelt C, O'Connell K, O'Donovan M, Okewole A, Peterson R, Posthuma D, Sebat J, Smoller J, Sud R, Viswanath B, Walters J, Won H, Wray N, Sullivan P, Consortium T. The Psychiatric Genomics Consortium: discoveries and directions. The Lancet Psychiatry 2025 PMID: 40582370, DOI: 10.1016/s2215-0366(25)00124-5.Peer-Reviewed Original ResearchPsychiatric Genomics ConsortiumGenome-wide association studiesFunctional genomics dataRare genetic variationPsychiatric disordersGenomic dataAssociation studiesGenetic variationGenomic discoveriesNeurodevelopmental conditionsPolygenic riskPolygenic scoresGenomics ConsortiumGenetic causeRare variantsRare variationImplementation processGlobal morbidityFunctional attributesPriority areasIntegrated findingsMultiple psychiatric disordersNext phaseVariantsDiscoveryPhenotyping extracellular vesicles and their serotonin transporter cargo in major depressive disorder
Zadka Ł, Eggerstorfer B, Buzalewicz I, Vraka C, Rusak A, Godbersen G, Opalińska A, Unterholzner J, Ulatowska-Jarża A, Philippe C, Haczkiewicz-Leśniak K, Silberbauer L, Murgaš M, Nics L, Hahn A, Hacker M, Gomułkiewicz A, Rujescu D, Podhorska-Okołów M, Lanzenberger R, Gryglewski G. Phenotyping extracellular vesicles and their serotonin transporter cargo in major depressive disorder. Journal Of Affective Disorders 2025, 389: 119740. PMID: 40550277, DOI: 10.1016/j.jad.2025.119740.Peer-Reviewed Original ResearchSerotonin transporterDepressive disorderPresence of serotonin transporterAntidepressant treatment responseSerotonin transporter levelsMDD patientsNanoparticle tracking analysisMood disordersPsychiatric disordersMDDBinding potentialExtracellular vesiclesTreatment response predictionPositron emission tomographyTreatment responseDisordersHealthy controlsExosome markers CD63Blood-brain barrierEmission tomographyStudy intercellular communicationPrognostic valueConcentration of extracellular vesiclesPatient stratificationExosomal markersExploring dopamine as the master regulator of brain circuitry and mental health genome
Blum K, Braverman E, Sharafshah A, Elman I, Lewandrowski K, Bowirrat A, Pinhasov A, Thanos P, Gold M, Dennen C, Modestino E, Badgaiyan R, Baron D, Fuehrlein B, Sipple D, Ashford J, Sunder K, Makale M, Murphy K, Jafari N, Zeine F, Pollack A, Lewandowski P, Khalsa J. Exploring dopamine as the master regulator of brain circuitry and mental health genome. Gene & Protein In Disease 2025, 0: 6557. DOI: 10.36922/gpd.6557.Peer-Reviewed Original ResearchBrain circuitryDopamine transmissionDopaminergic activityPsychiatric disordersDopamineBrain functionCircuitryLong-term influenceNeurobiologyAddictionImmediate effectsIntracellular signaling pathwaysPotential therapeutic targetDisordersNeurotransmitterBrainClinical relevanceTherapeutic targetSignaling pathwaySubstancesNeurocognitive effects of psilocybin: A systematic and comprehensive review of neuroimaging studies in humans
Berkovitch L, Fauvel B, Preller K, Gaillard R. Neurocognitive effects of psilocybin: A systematic and comprehensive review of neuroimaging studies in humans. Neuroscience & Biobehavioral Reviews 2025, 175: 106239. PMID: 40456393, DOI: 10.1016/j.neubiorev.2025.106239.Peer-Reviewed Original ResearchConceptsEffects of psilocybinPsilocybin effectsNeuroimaging studiesBrain changesNeuroimaging techniquesTherapeutic effects of psilocybinTreat various psychiatric disordersFunctional brain changesSamples of healthy volunteersSerotonergic compoundsEmotional processingNeurobiological mechanismsMode networkPsychiatric disordersCognitive tasksPsychoactive effectsBrain activityNeuroimaging dataPsilocybinSelf-experienceAssociated with acute alterationsSocial functioningTherapeutic effectBrainNeuronal networksCommentary on Nitrous Oxide: Weighing the Toxic Neuropsychiatric Effects of Abuse Against Potential Therapeutic Benefits for Psychiatric Disorders
Garakani A. Commentary on Nitrous Oxide: Weighing the Toxic Neuropsychiatric Effects of Abuse Against Potential Therapeutic Benefits for Psychiatric Disorders. Journal Of Psychiatric Practice 2025, 31: 178-179. PMID: 40440676, DOI: 10.1097/pra.0000000000000854.Peer-Reviewed Original ResearchConceptsPsychiatric disordersDrugs of misuseDepressive disorderPsychiatric historyNeuropsychiatric effectsLow vitamin B12 levelsPsychosisAbuseSubacute combined degenerationNitrous oxide abuseVitamin B12 levelsAbuse of nitrous oxideDisordersResearch supportNitrous oxide usePotential therapeutic benefitDental proceduresCombined degenerationB12 levelsMegaloblastic anemiaTreated patientsTreatment optionsOxide abuseRisk of misuseTherapeutic benefitThe genetic relationship between cannabis use disorder, cannabis use and psychiatric disorders
Galimberti M, Overstreet C, Gupta P, Beck S, Dao C, Deak J, Zhou H, Johnson E, Agrawal A, Stein M, Levey D, Gelernter J. The genetic relationship between cannabis use disorder, cannabis use and psychiatric disorders. Nature Mental Health 2025, 3: 700-708. DOI: 10.1038/s44220-025-00440-4.Peer-Reviewed Original ResearchGenomic structural equation modelingCannabis use disorderCannabis usePsychiatric disordersUse disorderStructural equation modelingIncreased rates of psychiatric disordersIncreasing prevalence of cannabis useRates of psychiatric disordersPrevalence of cannabis useThree-factor modelEquation modelingDepressive disorderPsychiatric traitsCannabisLocal genetic correlationDisordersGenetic correlationsMendelian randomization analysisTraitsRandomization analysisSchizophreniaADHDColocalization analysisIncreased riskThe Potential Use of Cannabidiol in the Treatment of Opioid Use Disorder: A Systematic Review
Shafie M, Ing K, Rostam‐Abadi Y, Weleff J, Griffin M, Ranganathan M, Aghaei A, Pratt N, Funaro M, Nia A. The Potential Use of Cannabidiol in the Treatment of Opioid Use Disorder: A Systematic Review. Addiction Biology 2025, 30: e70047. PMID: 40415392, PMCID: PMC12104536, DOI: 10.1111/adb.70047.Peer-Reviewed Original ResearchConceptsOpioid use disorderOUD outcomesUse disorderConditioned place preference paradigmPlace preference paradigmReducing withdrawal symptomsPotential of cannabidiolSubstance use disordersEfficacy of cannabidiolTreatment of opioid use disorderPreclinical studiesClinical studiesOpioid use disorder treatmentPreference paradigmAnxiety symptomsWithdrawal symptomsPsychiatric disordersEffective treatment approachTreatment optionsHuman studiesCannabidiolAnimal studiesSystematic reviewShort-term follow-upCravingThe hidden burden: self-reported irritability in adolescent girls signals higher psychiatric risk
Vidal-Ribas P, Krebs G, Silver J, Tseng W, Ford T, Stringaris A. The hidden burden: self-reported irritability in adolescent girls signals higher psychiatric risk. BMC Public Health 2025, 25: 1832. PMID: 40389896, PMCID: PMC12087224, DOI: 10.1186/s12889-025-23076-6.Peer-Reviewed Original ResearchConceptsSelf-reported irritabilityPrevalence of irritabilityIrritable moodParent reportAssociations of irritabilityMental Health of ChildrenLevels of irritabilityAssessment of irritabilityAdolescent femalesMental health problemsPediatric irritabilityPsychopathological symptomsTemper outburstsHealth of ChildrenPsychiatric disordersPsychiatric riskDevelopmental trajectoriesEmotional problemsSelf-reportMoodMental healthAdolescent malesLongitudinally Designed StudyChildren aged 5BackgroundMost researchGenome-wide analyses identify 30 loci associated with obsessive–compulsive disorder
Strom N, Gerring Z, Galimberti M, Yu D, Halvorsen M, Abdellaoui A, Rodriguez-Fontenla C, Sealock J, Bigdeli T, Coleman J, Mahjani B, Thorp J, Bey K, Burton C, Luykx J, Zai G, Alemany S, Andre C, Askland K, Bäckman J, Banaj N, Barlassina C, Nissen J, Bienvenu O, Black D, Bloch M, Børte S, Bosch R, Breen M, Brennan B, Brentani H, Buxbaum J, Bybjerg-Grauholm J, Byrne E, Cabana-Dominguez J, Camarena B, Camarena A, Cappi C, Carracedo A, Casas M, Cavallini M, Ciullo V, Cook E, Crosby J, Cullen B, De Schipper E, Delorme R, Djurovic S, Elias J, Estivill X, Falkenstein M, Fundin B, Garner L, Gironda C, Goes F, Grados M, Grove J, Guo W, Haavik J, Hagen K, Harrington K, Havdahl A, Höffler K, Hounie A, Hucks D, Hultman C, Janecka M, Jenike E, Karlsson E, Kelley K, Klawohn J, Krasnow J, Krebs K, Lange C, Lanzagorta N, Levey D, Lindblad-Toh K, Macciardi F, Maher B, Mathes B, McArthur E, McGregor N, McLaughlin N, Meier S, Miguel E, Mulhern M, Nestadt P, Nurmi E, O’Connell K, Osiecki L, Ousdal O, Palviainen T, Pedersen N, Piras F, Piras F, Potluri S, Rabionet R, Ramirez A, Rauch S, Reichenberg A, Riddle M, Ripke S, Rosário M, Sampaio A, Schiele M, Skogholt A, Sloofman L, Smit J, Artigas M, Thomas L, Tifft E, Vallada H, van Kirk N, Veenstra-VanderWeele J, Vulink N, Walker C, Wang Y, Wendland J, Winsvold B, Yao Y, Zhou H, Agrawal A, Alonso P, Berberich G, Bucholz K, Bulik C, Cath D, Denys D, Eapen V, Edenberg H, Falkai P, Fernandez T, Fyer A, Gaziano J, Geller D, Grabe H, Greenberg B, Hanna G, Hickie I, Hougaard D, Kathmann N, Kennedy J, Lai D, Landén M, Hellard S, Leboyer M, Lochner C, McCracken J, Medland S, Mortensen P, Neale B, Nicolini H, Nordentoft M, Pato M, Pato C, Pauls D, Piacentini J, Pittenger C, Posthuma D, Ramos-Quiroga J, Rasmussen S, Richter M, Rosenberg D, Ruhrmann S, Samuels J, Sandin S, Sandor P, Spalletta G, Stein D, Stewart S, Storch E, Stranger B, Turiel M, Werge T, Andreassen O, Børglum A, Walitza S, Hveem K, Hansen B, Rück C, Martin N, Milani L, Mors O, Reichborn-Kjennerud T, Ribasés M, Kvale G, Mataix-Cols D, Domschke K, Grünblatt E, Wagner M, Zwart J, Breen G, Nestadt G, Kaprio J, Arnold P, Grice D, Knowles J, Ask H, Verweij K, Davis L, Smit D, Crowley J, Scharf J, Stein M, Gelernter J, Mathews C, Derks E, Mattheisen M. Genome-wide analyses identify 30 loci associated with obsessive–compulsive disorder. Nature Genetics 2025, 57: 1389-1401. PMID: 40360802, PMCID: PMC12165847, DOI: 10.1038/s41588-025-02189-z.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderGenome-wide association studiesGenetic riskObsessive-compulsive disorder casesGenome-wide significant lociMedium spiny neuronsGenome-wide analysisMajor histocompatibility complexGene-based approachPsychiatric disordersSpiny neuronsTourette syndromeAnorexia nervosaSignificant lociEffector genesAssociation studiesAssociated with excitatory neuronsMultiple genesGenetic variantsAssociated with inflammatory bowel diseaseBody mass indexGenetic heritabilityDisordersExcitatory neuronsInflammatory bowel disease5. Discordant Cortical Patterns Between Psychiatric Disorders and Corresponding Common and Rare Genetic Risks
Kumar K, Liao Z, Kopal J, Moreau C, Ching C, Snyder W, Jean-Louis M, Martin C, Huguet G, Kushan-Wells L, Dos Santos Silva A, Van Den Bree M, Owen M, Hall J, Sønderby I, Andreassen O, Glahn D, Raznahan A, Bearden C, Paus T, Thompson P, Jacquemont S. 5. Discordant Cortical Patterns Between Psychiatric Disorders and Corresponding Common and Rare Genetic Risks. Biological Psychiatry 2025, 97: s75-s76. DOI: 10.1016/j.biopsych.2025.02.195.Peer-Reviewed Original ResearchGenetic riskPsychiatric disordersA multi-omic approach implicates novel protein dysregulation in post-traumatic stress disorder
Wang J, Liu Y, Li H, Nguyen T, Soto-Vargas J, Wilson R, Wang W, Lam T, Zhang C, Lin C, Lewis D, Glausier J, Holtzheimer P, Friedman M, Williams K, Picciotto M, Nairn A, Krystal J, Duman R, Young K, Zhao H, Girgenti M. A multi-omic approach implicates novel protein dysregulation in post-traumatic stress disorder. Genome Medicine 2025, 17: 43. PMID: 40301990, PMCID: PMC12042318, DOI: 10.1186/s13073-025-01473-1.Peer-Reviewed Original ResearchConceptsPost-traumatic stress disorderDorsolateral prefrontal cortexPsychiatric disordersAutism spectrum disorderPrefrontal cortexDepressive disorderStress disorderGamma-aminobutyric acidGenome-wide association studiesPTSD brainsGenome-wide measurementsStudies of postmortem brainsSubgenual prefrontal cortexDisabling psychiatric disorderMultiple psychiatric disordersPrefrontal cortical areasPTSD casesHuman brain studiesBrain regionsSpectrum disorderGABAergic processesPostmortem brainsMDDProtein co-expression modulesProteomic profilingSelf-Inflicted Head Injury in Behavioral Variant Frontotemporal Dementia with Compulsive Behaviors: A Case Report
Yang Y, Matuskey D, Benjamin C, Fesharaki-Zadeh A. Self-Inflicted Head Injury in Behavioral Variant Frontotemporal Dementia with Compulsive Behaviors: A Case Report. Cognitive And Behavioral Neurology 2025, 38: 66-72. PMID: 40298273, DOI: 10.1097/wnn.0000000000000392.Peer-Reviewed Original ResearchConceptsBehavioral variant frontotemporal dementiaDiagnosis of behavioural variant frontotemporal dementiaFrontotemporal dementiaEpisodic memory lossLoss of empathyCompulsive behaviorsExecutive functionProgressive behavioral deficitsPsychiatric diagnosisPsychiatric disordersBehavioral deficitsRight hippocampusRight hemisphereBehavioral agitationPersonality changesNeuroimaging findingsInstrumental activities of daily livingMemory lossRight lateral ventricleSevere hypometabolismLateral ventricleParenchymal volume lossClinician's abilityInstrumental activitiesVolume lossAlterations in Gray Matter Structure Linked to Frequency-Specific Cortico-Subcortical Connectivity in Schizophrenia via Multimodal Data Fusion
Duda M, Faghiri A, Belger A, Bustillo J, Ford J, Mathalon D, Mueller B, Pearlson G, Potkin S, Preda A, Sui J, Van Erp T, Calhoun V. Alterations in Gray Matter Structure Linked to Frequency-Specific Cortico-Subcortical Connectivity in Schizophrenia via Multimodal Data Fusion. Neuroinformatics 2025, 23: 31. PMID: 40285903, DOI: 10.1007/s12021-025-09728-3.Peer-Reviewed Original ResearchConceptsGray matter volumeJoint independent component analysisFunctional connectivityGroup differencesGray matter volume alterationsCortical gray matter volumeFunctional brain alterationsPathophysiology of SZComplex psychiatric disorderSignificant group differencesCortico-subcortical connectionsStructural brain networksFunctional network connectivityNeuroimaging-based studiesDynamic functional network connectivityGray matter structuresFunctional dysconnectivitySZ groupPsychiatric disordersBrain alterationsMatter volumeBrain networksSchizophreniaBrain structuresSensorimotor networkTransdiagnostic Symptom Domains Have Distinct Patterns of Association With Head Motion During Multimodal Imaging in Children
Hercules K, Liu Z, Christofilea E, Wei J, Venegas G, Ciocca O, Dyer A, Lee G, Santini-Bishop S, Shappell H, Gee D, Sukhodolsky D, Ibrahim K. Transdiagnostic Symptom Domains Have Distinct Patterns of Association With Head Motion During Multimodal Imaging in Children. Biological Psychiatry Global Open Science 2025, 5: 100506. PMID: 40519635, PMCID: PMC12163392, DOI: 10.1016/j.bpsgos.2025.100506.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingDisruptive behavior problemsTransdiagnostic symptomDisruptive behaviorBehavior problemsFunctional magnetic resonance imaging taskInternalizing problemsEmotional n-back taskMonetary incentive delay taskSeverity of attention problemsMeasures of symptom severityIncentive delay taskAssociated with worse performanceStop-signal taskN-back taskBrain-based biomarkersChild Behavior ChecklistChild psychiatric disordersAttention-related problemsIncreased internalizing problemsIn-scanner motionPatterns of associationDelay taskPsychiatric disordersSymptom domainsThe Psychiatric Manifestations of Sturge Weber Syndrome: A Scoping Review.
Lee V, Girgis R. The Psychiatric Manifestations of Sturge Weber Syndrome: A Scoping Review. Journal Of Child Neurology 2025, 8830738251329444. PMID: 40232279, DOI: 10.1177/08830738251329444.Peer-Reviewed Original ResearchAttention-deficit hyperactivity disorderPsychiatric manifestationsImpact of psychiatric disordersAutism spectrum disorderMental health evaluationPsychotic symptomsPsychiatric vulnerabilityPsychiatric disordersHyperactivity disorderPsychiatric symptomsSpectrum disorderPsychiatric issuesSturge-Weber syndromeDisordersTreatment approachesPrevalence ratesElevated riskSymptomsFacial port-wine stainIndividualsSturge Weber syndromePsychiatricVariable prevalence ratesAutismAnxietyAddressing social determinants of health in individuals with mental disorders in clinical practice: review and recommendations
Jeste D, Smith J, Lewis-Fernández R, Saks E, Na P, Pietrzak R, Quinn M, Kessler R. Addressing social determinants of health in individuals with mental disorders in clinical practice: review and recommendations. Translational Psychiatry 2025, 15: 120. PMID: 40180893, PMCID: PMC11968902, DOI: 10.1038/s41398-025-03332-4.Peer-Reviewed Original ResearchConceptsSocial determinants of healthDeterminants of healthSocial determinantsMental disordersSocial determinants of mental healthDeterminants of mental healthQuality of life of personsResponsibility of healthcare providersImplementing such interventionsMedical risk factorsLife of personsRelevant social factorsHealthcare providersClinical psychiatric practicePsychosocial strategiesMental healthCase managementOverall healthPsychiatric cliniciansHealthWell-beingCommunity levelPsychiatric disordersRisk factorsPsychiatric practicePsychiatric genetics in the diverse landscape of Latin American populations
Bruxel E, Rovaris D, Belangero S, Chavarría-Soley G, Cuellar-Barboza A, Martínez-Magaña J, Nagamatsu S, Nievergelt C, Núñez-Ríos D, Ota V, Peterson R, Sloofman L, Adams A, Albino E, Alvarado A, Andrade-Brito D, Arguello-Pascualli P, Bandeira C, Bau C, Bulik C, Buxbaum J, Cappi C, Corral-Frias N, Corrales A, Corsi-Zuelli F, Crowley J, Cupertino R, da Silva B, De Almeida S, De la Hoz J, Forero D, Fries G, Gelernter J, González-Giraldo Y, Grevet E, Grice D, Hernández-Garayua A, Hettema J, Ibáñez A, Ionita-Laza I, Lattig M, Lima Y, Lin Y, López-León S, Loureiro C, Martínez-Cerdeño V, Martínez-Levy G, Melin K, Moreno-De-Luca D, Muniz Carvalho C, Olivares A, Oliveira V, Ormond R, Palmer A, Panzenhagen A, Passos-Bueno M, Peng Q, Pérez-Palma E, Prieto M, Roussos P, Sanchez-Roige S, Santamaría-García H, Shansis F, Sharp R, Storch E, Tavares M, Tietz G, Torres-Hernández B, Tovo-Rodrigues L, Trelles P, Trujillo-ChiVacuan E, Velásquez M, Vera-Urbina F, Voloudakis G, Wegman-Ostrosky T, Zhen-Duan J, Zhou H, Santoro M, Nicolini H, Atkinson E, Giusti-Rodríguez P, Montalvo-Ortiz J. Psychiatric genetics in the diverse landscape of Latin American populations. Nature Genetics 2025, 57: 1074-1088. PMID: 40175716, PMCID: PMC12133068, DOI: 10.1038/s41588-025-02127-z.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesPsychiatric genomicsPsychiatric genome-wide association studiesLarge-scale genome-wide association studiesGenetic risk lociNon-European populationsGenetic diversityRisk lociGenetic admixtureBurden of psychiatric disordersAssociation studiesPsychiatric disordersEuropean ancestryPsychiatric geneticsGenomeHealthcare disparitiesConsortium effortLatin American populationsPromote equityEnvironmental factorsDiversityAmerican populationDiverse landscapeLociAncestryEating Disorder Screening Measures in Post-9/11 Veteran Men and Women
Mitchell K, Serier K, Vogt D, Smith B, Cooper Z. Eating Disorder Screening Measures in Post-9/11 Veteran Men and Women. Psychological Assessment 2025, 37: 172-179. PMID: 40167541, DOI: 10.1037/pas0001369.Peer-Reviewed Original ResearchConceptsEating disordersCut scoresScreening measuresTreating eating disordersVeteran sampleDiagnostic InterviewPsychiatric disordersFemale subsampleVeteran menInternal consistencyWell-validatedHealth care settingsCare settingsDisordersSCOFFVulnerable populationsSubsampleEffective screeningScoresPost-9/11Investigate performancePotential casesEatingVeteransWomenIdentifying Genetic Variants for Brain Connectivity Using Ball Covariance Ranking and Aggregation
Dai W, Zhang H. Identifying Genetic Variants for Brain Connectivity Using Ball Covariance Ranking and Aggregation. Journal Of The American Statistical Association 2025, ahead-of-print: 1-19. DOI: 10.1080/01621459.2025.2450837.Peer-Reviewed Original ResearchSingle nucleotide polymorphismsDetect single nucleotide polymorphismsGene-based analysisControlling false discovery rateControlling false discoveriesSNP setsFunctional connectivityFalse discovery rateGenetic architectureNovel genesGenetic basisNucleotide polymorphismsGenetic variantsUK Biobank dataPsychiatric disordersDiscovery rateBrain functionFalse discoveriesBiobank dataCorrelations of neural activityBrain regionsBiological etiologyBrain connectivityEQTLNeural activity
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