Biological Psychiatry最新文献

{"title":"Unlocking Alzheimer’s Disease Heterogeneity: The Role of Normative Modeling, Dynamic Connectivity, and Beyond","authors":"Qian Wang , Shile Qi , Rongtao Jiang , Jing Sui","doi":"10.1016/j.biopsych.2025.03.017","DOIUrl":"10.1016/j.biopsych.2025.03.017","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"97 11","pages":"Pages 1016-1017"},"PeriodicalIF":9.6,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mechanistic and Predictive Implications of Transdiagnostic Features of the Connectome","authors":"Jose M. Rubio, Elvisha Dhamala","doi":"10.1016/j.biopsych.2025.03.009","DOIUrl":"10.1016/j.biopsych.2025.03.009","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"97 11","pages":"Pages 1018-1019"},"PeriodicalIF":9.6,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Guide for Authors","authors":"","doi":"10.1016/S0006-3223(25)01132-1","DOIUrl":"10.1016/S0006-3223(25)01132-1","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"97 11","pages":"Pages A5-A10"},"PeriodicalIF":9.6,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Subscribers Page","authors":"","doi":"10.1016/S0006-3223(25)01129-1","DOIUrl":"10.1016/S0006-3223(25)01129-1","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"97 11","pages":"Page A2"},"PeriodicalIF":9.6,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From Brain Network Dysfunction to Neuropsychiatric Symptoms in Alzheimer’s Disease","authors":"Maria Vasileiadi , Sean Michael Nestor","doi":"10.1016/j.biopsych.2025.03.014","DOIUrl":"10.1016/j.biopsych.2025.03.014","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"97 11","pages":"Pages 1020-1021"},"PeriodicalIF":9.6,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Postnatal and Juvenile Fluoxetine Treatment Evokes Sex-Specific, Opposing Effects on Mood-Related Behavior, Gene Expression, Mitochondrial Function, and Dendritic Architecture in the Rat Medial Prefrontal Cortex.","authors":"Utkarsha Ghai, Parul Chachra, Suchith Mendon, Balaganesh Janakiraman, Sashaina E Fanibunda, Ambalika Sarkar, Dievya Gohil, Amogh Bhaskaran Jayaprasad, Kowshik Kukkemane, Vivek Singh, Ullas Kolthur-Seetharam, Vidita A Vaidya","doi":"10.1016/j.biopsych.2025.04.026","DOIUrl":"10.1016/j.biopsych.2025.04.026","url":null,"abstract":"<p><strong>Background: </strong>Serotonin shapes emotional neurocircuit development, and serotonergic neurotransmission is implicated in both the pathophysiology and treatment of neuropsychiatric disorders. The selective serotonin reuptake inhibitor fluoxetine is a common first-line treatment for childhood and adolescent mood disorders due to a favorable risk-benefit profile. Using a rodent model, we addressed specific long-term behavioral, molecular, bioenergetic, and cytoarchitectural consequences of postnatal fluoxetine (PNFlx) and juvenile fluoxetine (JFlx) treatment.</p><p><strong>Methods: </strong>Rat pups received PNFlx (postnatal day 2 [P2]-P21) or JFlx (P28-P48) treatment with the impact on anxiety- and despair-like behavior examined in adulthood, along with assessing global gene expression, mitochondrial function, and dendritic cytoarchitecture in the medial prefrontal cortex (mPFC).</p><p><strong>Results: </strong>PNFlx and JFlx evoked long-lasting, opposing changes in anxiety- and despair-like behavior in male, but not female, rats. The PNFlx- and JFlx-evoked increase and decrease in anxiety- and despair-like behavior, respectively, were accompanied by distinctive, minimally overlapping, transcriptional changes in the mPFC in adulthood. Furthermore, we noted starkly differing outcomes of PNFlx and JFlx on mitochondrial function and dendritic cytoarchitecture in the mPFC. The PNFlx-evoked despair-like behavior was reversed by adult-onset treatment with nicotinamide, a NAD⁺ (oxidized nicotinamide adenosine dinucleotide) precursor that enhances mitochondrial bioenergetics.</p><p><strong>Conclusions: </strong>Collectively, our findings highlight distinct developmental epochs wherein fluoxetine exposure can program long-term, sex-specific, opposing outcomes on mood-related behavior, accompanied by persistent changes in gene expression, mitochondrial function, and neuronal cytoarchitecture in the mPFC in adulthood. These findings provide motivation for future studies to examine a potential role for altered bioenergetics in shaping the differential impact of early fluoxetine treatment on emotionality.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143964183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thalamocortical Structural Covariation Networks Are Related to Familial Risk for Schizophrenia in the Context of Lower Nuclei Volume Estimates in Patients: An ENIGMA Study.","authors":"Annalisa Lella, Linda A Antonucci, Roberta Passiatore, Loredana Bellantuono, Pierluigi Selvaggi, Teresa Popolizio, Guido Di Sciascio, Alessandro Saponaro, Patrizia Ricci, Mario Altamura, Giuseppe Blasi, Antonio Rampino, Chris Vriend, Vince D Calhoun, Kelly Rootes-Murdy, Aaron L Goldman, Inmaculada Baeza, Josefina Castro-Fornieles, Gisela Sugranyes, Elena De la Serna, Edith Pomarol-Clotet, Mar Fatjó-Vilas, Raymond Salvador, Andriana Karuk, Paola Fuentes-Claramonte, David C Glahn, Amanda L Rodrigue, John Blangero, Lei Wang, Taeyoung Lee, Karolin E Einenkel, Saskia Hamers, Oliver Gruber, Adrian Preda, Young-Chul Chung, Soyolsaikhan Odkhuu, Corentin Vallée, Paola Dazzan, Machteld Marcelis, Stijn Michielse, Katharina Brosch, Frederike Stein, Igor Nenadić, Benjamin Straube, Florian Thomas-Odenthal, Tilo Kircher, Sean Carruthers, Susan L Rossell, Phillip J Sumner, Tamsyn E Van Rheenen, Caroline Demro, Ian S Ramsay, Scott R Sponheim, Rebekka Lencer, Susanne Meinert, Tim Hahn, Udo Dannlowski, Dominik Grotegerd, Mariateresa Ciccarelli, Felice Iasevoli, Giuseppe Pontillo, Godfrey D Pearlson, Derin Cobia, Fabrizio Piras, Nerisa Banaj, Daniela Vecchio, Marjolein E A Barendse, Neeltje E M van Haren, Hang Joon Jo, Kang Sim, Yann Quidé, Melissa J Green, Rachael Slate, Giacomo Cecere, Wolfgang Omlor, Stephanie Homan, Philipp Homan, Sophia I Thomopoulos, Jessica A Turner, Theo G M van Erp, Paul M Thompson, Alessandro Bertolino, Giulio Pergola","doi":"10.1016/j.biopsych.2025.03.027","DOIUrl":"10.1016/j.biopsych.2025.03.027","url":null,"abstract":"<p><strong>Background: </strong>Structural brain differences in the thalamus and the cortex have been widely reported in schizophrenia (SCZ) relative to neurotypical control individuals (NCs). Most previous studies examined the thalamus as a whole as a single region of interest. In addition, findings in individuals at familial high risk for SCZ (FHRs) remain inconclusive. Here, we investigated whether local and network-wide thalamic-related structural alterations vary as a function of familial risk for SCZ.</p><p><strong>Methods: </strong>Structural magnetic resonance imaging scans were obtained from 5197 participants (NC, n = 3409; FHR, n = 257; SCZ, n = 1531) across 32 cross-sectional samples within the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) Consortium. Random-effects meta-analyses and network analyses were conducted on 1) local thalamic alterations (volume estimates of 7 thalamic subdivisions) and 2) network-wide thalamic alterations (thickness and surface-related thalamocortical/corticocortical covariation patterns) across groups (NC, FHR, SCZ).</p><p><strong>Results: </strong>Individuals with SCZ showed significantly lower gray matter volume estimates in the anterior, pulvinar, medial, posterior, and ventral thalamic subdivisions compared with NCs (false discovery rate-corrected q [q_FDR] < .05). FHRs did not differ from NCs. At the network-wide level, thalamocortical covariations discriminated FHRs from NCs (q_FDR < .05), with FHRs showing intermediate covariation between individuals with SCZ and NCs. Corticocortical covariation patterns revealed that individuals with SCZ and FHRs shared similarly disconnected clustering configurations, distinct from NCs (q_FDR < .05).</p><p><strong>Conclusions: </strong>Results revealed lower thalamic volume estimates in individuals with SCZ but not in FHRs, hence yielding no evidence of a familial risk trait, whereas thalamocortical and corticocortical covariation estimates were associated with familial risk for SCZ. These findings suggest that, once the thalamus is parsed into subdivisions, network-wide thalamocortical features may identify trait-dependent, neurobiological correlates of genetic risk for SCZ.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transdiagnostic and Disorder-Level Genome-Wide Association Studies Enhance Precision of Substance Use and Psychiatric Genetic Risk Profiles in African and European Ancestries.","authors":"Yousef Khan, Christal N Davis, Zeal Jinwala, Kyra L Feuer, Sylvanus Toikumo, Emily E Hartwell, Sandra Sanchez-Roige, Roseann E Peterson, Alexander S Hatoum, Henry R Kranzler, Rachel L Kember","doi":"10.1016/j.biopsych.2025.04.021","DOIUrl":"10.1016/j.biopsych.2025.04.021","url":null,"abstract":"<p><strong>Background: </strong>Substance use disorders (SUDs) and psychiatric disorders frequently co-occur, and their etiology likely reflects both transdiagnostic (i.e., common/shared) and disorder-level (i.e., independent/nonshared) genetic influences. Understanding the genetic influences that are shared and those that operate independently of the shared risk could enhance precision in diagnosis, prevention, and treatment, but this remains underexplored, particularly in non-European ancestry groups.</p><p><strong>Methods: </strong>We applied genomic structural equation modeling to examine the common and independent genetic architecture among SUDs and psychotic, mood, and anxiety disorders using summary statistics from genome-wide association studies (GWASs) conducted in European ancestry (EUR) and African ancestry (AFR) individuals. To characterize the biological and phenotypic associations, we used FUMA, conducted genetic correlations, and performed phenome-wide association studies (PheWASs).</p><p><strong>Results: </strong>In EUR individuals, transdiagnostic genetic factors represented SUDs, psychotic disorders, and mood/anxiety disorders, with a GWAS identifying 2 novel lead single nucleotide polymorphisms (SNPs) for the mood factor. In AFR individuals, genetic factors represented SUDs and psychiatric disorders, and a GWAS identified 1 novel lead SNP for the SUD factor. In EUR individuals, second-order factor models showed phenotypic and genotypic associations with a broad range of physical and mental health traits. Finally, genetic correlations and PheWASs highlighted how common and independent genetic factors for SUDs and psychotic disorders were differentially associated with psychiatric, sociodemographic, and medical phenotypes.</p><p><strong>Conclusions: </strong>Combining transdiagnostic and disorder-level genetic approaches can improve our understanding of co-occurring conditions and increase the specificity of genetic discovery, which is critical for identifying more effective prevention and treatment strategies to reduce the burden of these disorders.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143975719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Parsing Clinical and Neurobiological Sources of Heterogeneity in Depression.","authors":"Kayla Hannon, Ty Easley, Wei Zhang, Daphne Lew, Aristeidis Sotiras, Yvette I Sheline, Andre Marquand, Deanna M Barch, Janine D Bijsterbosch","doi":"10.1016/j.biopsych.2025.04.025","DOIUrl":"10.1016/j.biopsych.2025.04.025","url":null,"abstract":"<p><strong>Background: </strong>Patients with depression vary from one another in their clinical and neuroimaging presentation, but the relationship between clinical and neuroimaging sources of variation is poorly understood. Determining sources of heterogeneity in depression is important to gain insights into its diverse and complex neural etiology. In this study, we aimed to test whether depression heterogeneity is characterized by subgroups that differ both clinically and neurobiologically and/or whether multiple neuroimaging profiles give rise to the same clinical presentation.</p><p><strong>Methods: </strong>This study utilized population-based data from the UK Biobank over multiple imaging sites. Clinically dissociated groups were selected to isolate clinical characteristics of depression (symptoms of anhedonia, depressed mood, and somatic disturbance; severity indices of lifetime chronicity and acute impairment; and late onset). Residual neuroimaging heterogeneity within each group was assessed using neuroimaging-driven clustering.</p><p><strong>Results: </strong>The clinically dissociated subgroups had significantly larger neuroimaging normative deviations than a comparison heterogeneous group and had distinct neuroimaging profiles from each other. Imaging-driven clustering within each clinically dissociated group identified 2 stable subtypes within the acute impairment group that differed significantly in cognitive ability despite identical clinical profiles.</p><p><strong>Conclusions: </strong>The study identified distinct neuroimaging profiles related to particular clinical depression features that may explain inconsistencies in the literature and subclusters within the acute impairment group with cognitive differences that were only differentiable by neuroimaging. Our results provide evidence that multiple neuroimaging profiles may give rise to the same clinical presentation, emphasizing the presence of complex interactions between clinical and neuroimaging sources of heterogeneity.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143960624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generative Artificial Intelligence Models for Developing Neuroimaging Markers of Psychiatric Disorders.","authors":"Chadi G Abdallah, David van Dijk","doi":"10.1016/j.biopsych.2025.05.002","DOIUrl":"10.1016/j.biopsych.2025.05.002","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143960896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}