Biological Psychiatry-Cognitive Neuroscience and Neuroimaging最新文献

{"title":"Multitrait Analysis to Decipher the Intertwined Genetic Architecture of Neuroanatomical Phenotypes and Psychiatric Disorders","authors":"Antoine Auvergne ,&nbsp;Nicolas Traut ,&nbsp;Léo Henches ,&nbsp;Lucie Troubat ,&nbsp;Arthur Frouin ,&nbsp;Christophe Boetto ,&nbsp;Sayeh Kazem ,&nbsp;Hanna Julienne ,&nbsp;Roberto Toro ,&nbsp;Hugues Aschard","doi":"10.1016/j.bpsc.2024.08.018","DOIUrl":"10.1016/j.bpsc.2024.08.018","url":null,"abstract":"<div><h3>Background</h3><div>There is increasing evidence of shared genetic factors between psychiatric disorders and brain magnetic resonance imaging (MRI) phenotypes. However, deciphering the joint genetic architecture of these outcomes has proven to be challenging, and new approaches are needed to infer the genetic structures that may underlie those phenotypes. Multivariate analyses are a meaningful approach to reveal links between MRI phenotypes and psychiatric disorders missed by univariate approaches.</div></div><div><h3>Methods</h3><div>First, we conducted univariate and multivariate genome-wide association studies for 9 MRI-derived brain volume phenotypes in 20,000 UK Biobank participants. Next, we performed various complementary enrichment analyses to assess whether and how univariate and multitrait approaches could distinguish disorder-associated and non–disorder-associated variants from 6 psychiatric disorders: bipolar disorder, attention-deficit/hyperactivity disorder, autism, schizophrenia, obsessive-compulsive disorder, and major depressive disorder. Finally, we conducted a clustering analysis of top associated variants based on their MRI multitrait association using an optimized <em>k</em>-medoids approach.</div></div><div><h3>Results</h3><div>A univariate MRI genome-wide association study revealed only negligible genetic correlations with psychiatric disorders, while a multitrait genome-wide association study identified multiple new associations and showed significant enrichment for variants related to both attention-deficit/hyperactivity disorder and schizophrenia. Clustering analyses also detected 2 clusters that showed not only enrichment for association with attention-deficit/hyperactivity disorder and schizophrenia but also a consistent direction of effects. Functional annotation analyses of those clusters pointed to multiple potential mechanisms, suggesting in particular a role of neurotrophin pathways in both MRI phenotypes and schizophrenia.</div></div><div><h3>Conclusions</h3><div>Our results show that multitrait association signature can be used to infer genetically driven latent MRI variables associated with psychiatric disorders, thereby opening paths for future biomarker development.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 7","pages":"Pages 740-749"},"PeriodicalIF":5.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142303307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revisiting Resting-State Functional Connectivity of the Amygdala and Subgenual Anterior Cingulate Cortex in Adolescents and Adults With Depression","authors":"Shijia Fan ,&nbsp;Yuxi Wang ,&nbsp;Yin Wang ,&nbsp;Yinyin Zang","doi":"10.1016/j.bpsc.2024.11.004","DOIUrl":"10.1016/j.bpsc.2024.11.004","url":null,"abstract":"<div><h3>Background</h3><div>Adolescent depression is a growing public health concern, and neuroimaging offers a promising approach to its pathology. We focused on the functional connectivity of the amygdala and subgenual anterior cingulate cortex (sgACC), which is theoretically important in major depressive disorder (MDD), but empirical evidence has remained inconsistent. This discrepancy is likely due to the limited statistical power of small sample sizes.</div></div><div><h3>Methods</h3><div>We rigorously examined sgACC-amygdala connectivity in adolescents and adults with depression using data from the Healthy Brain Network (<em>n</em> = 321; 170 female), the ABCD (Adolescent Brain Cognitive Development) Study (<em>n</em> = 141; 56 female), the Boston Adolescent Neuroimaging of Depression and Anxiety study (<em>n</em> = 108; 75 female), and the REST-meta-MDD project (<em>n</em> = 1436; 880 female). Linear mixed models, Bayesian factor analyses, and meta-analysis were used to assess connectivity.</div></div><div><h3>Results</h3><div>Our analyses revealed that sgACC-amygdala connectivity in adolescents with MDD was comparable to that in healthy control individuals, whereas adults with recurrent MDD exhibited reduced connectivity. Resampling analysis demonstrated that small sample sizes (i.e., <em>n</em> &lt; 30 MDD cases) tend to inflate effects, potentially leading to misinterpretations.</div></div><div><h3>Conclusions</h3><div>These findings clarify the state of sgACC-amygdala connectivity in MDD and underscore the importance of refining neurocognitive models separately for adolescents and adults. The study also highlights the necessity for large-scale replication studies to ensure robust and reliable findings.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 7","pages":"Pages 759-768"},"PeriodicalIF":5.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142683867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic Updating of Psychosis Prediction Models in Individuals at Ultra-High Risk of Psychosis","authors":"Simon Hartmann ,&nbsp;Dominic Dwyer ,&nbsp;Isabelle Scott ,&nbsp;Cassandra M.J. Wannan ,&nbsp;Josh Nguyen ,&nbsp;Ashleigh Lin ,&nbsp;Christel M. Middeldorp ,&nbsp;Stephen J. Wood ,&nbsp;Alison R. Yung ,&nbsp;Patrick D. McGorry ,&nbsp;Barnaby Nelson ,&nbsp;Scott R. Clark","doi":"10.1016/j.bpsc.2025.03.006","DOIUrl":"10.1016/j.bpsc.2025.03.006","url":null,"abstract":"<div><h3>Background</h3><div>The performance of psychiatric risk calculators can deteriorate over time due to changes in patient population, referral pathways, and medical advances. Such temporal biases in existing models may lead to suboptimal decisions when translated into clinical practice. Methods are available to correct this bias, but no research has been conducted to investigate their utility in psychiatry.</div></div><div><h3>Methods</h3><div>We aimed to analyze the performance of model updating methods for predicting psychosis onset by 1 year in 780 individuals at ultra-high risk (UHR) of psychosis from the UHR 1000+ cohort, a longitudinal cohort of UHR individuals recruited to research studies at Orygen, Melbourne, Australia, between 1995 and 2020. Model updating was performed using a yearly adjusted model (recalibration), a continuously updated model (refitting), and a continuous Bayesian updating model (dynamic updating) and compared with a static logistic regression prediction model (original) regarding calibration, discrimination, and clinical net benefit.</div></div><div><h3>Results</h3><div>The original model was poorly calibrated over the entire validation period. All 3 updating methods improved the predictive performance compared with the original model (recalibration: <em>p</em> = .009; refitting: <em>p</em> = .020; dynamic updating: <em>p</em> = .001). The dynamic updating method demonstrated the best predictive performance (Harrell’s C-index = 0.71; 95% CI, 0.60 to 0.82), calibration slope (slope = 1.12; 95% CI, 0.46 to 1.87), and clinical net benefit over the entire validation period.</div></div><div><h3>Conclusions</h3><div>Dynamic updating of psychosis prediction models may help to mitigate decreases in performance over time. Therefore, existing psychosis prediction models need to be monitored for temporal biases to mitigate potentially harmful decisions.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 7","pages":"Pages 699-708"},"PeriodicalIF":5.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143756452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ten Suggestions for Better Inference in Population Neuroscience Studies","authors":"Wesley K. Thompson ,&nbsp;Chun-Chieh Fan ,&nbsp;Evan J. White ,&nbsp;Dedra Buchwald ,&nbsp;Damien A. Fair ,&nbsp;Terry Jernigan ,&nbsp;Martin P. Paulus","doi":"10.1016/j.bpsc.2025.03.010","DOIUrl":"10.1016/j.bpsc.2025.03.010","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 7","pages":"Pages 781-784"},"PeriodicalIF":5.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143766082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hypoactivation of the Ventromedial Frontal Cortex in Major Depressive Disorder: A Magnetoencephalography Study of the Reward Positivity","authors":"Christopher J.H. Pirrung ,&nbsp;Garima Singh ,&nbsp;Jeremy Hogeveen ,&nbsp;Davin Quinn ,&nbsp;James F. Cavanagh","doi":"10.1016/j.bpsc.2024.11.002","DOIUrl":"10.1016/j.bpsc.2024.11.002","url":null,"abstract":"<div><h3>Background</h3><div>The reward positivity (RewP) is a sensitive and specific electrophysiological marker of reward receipt. These characteristics make it a compelling candidate marker of dysfunctional reward processing in major depressive disorder. We previously proposed that the RewP is a temporal nexus for multiple dimensions of reward value and that a diminished RewP in depression might only reflect a deficit in some of these features. Specifically, we predicted a diminished ventromedial contribution in depression in the context of maintained reward learning.</div></div><div><h3>Methods</h3><div>We collected magnetoencephalography recordings of reward receipt in 43 individuals with major depressive disorder (35 female) and 38 healthy control individuals (21 female). Magnetoencephalography allows effective source estimation due to the absence of volume conduction that compromises electroencephalographic recordings.</div></div><div><h3>Results</h3><div>The magnetoencephalography RewP analog was generated by a broad set of cortical areas, but only right ventromedial and right ventral temporal areas were diminished in major depressive disorder. These areas correlated with a principal component of anhedonia derived from multiple questionnaires. Compellingly, Brodmann area 25 was the frontal region with the largest representation in both of these effects.</div></div><div><h3>Conclusions</h3><div>These findings not only advance our understanding underlying the computation of the RewP, but are also consistent with findings from other types of functional source imaging in depression, as well as from deep brain stimulation treatments. Together, these discoveries suggest that the RewP may be a valuable marker for objective assessment of reward affect and its disruption in anhedonia.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 7","pages":"Pages 750-758"},"PeriodicalIF":5.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142649992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generalized Slowing of Resting-State Neural Oscillations in People With Schizophrenia","authors":"Scott R. Sponheim ,&nbsp;Ian S. Ramsay ,&nbsp;Peter A. Lynn ,&nbsp;Sophia Vinogradov","doi":"10.1016/j.bpsc.2024.08.007","DOIUrl":"10.1016/j.bpsc.2024.08.007","url":null,"abstract":"<div><h3>Background</h3><div>Recent interest in how neural oscillations reflect the flow of information through the brain has led to partitioning electroencephalography (EEG) recordings into periodic (i.e., oscillatory) and aperiodic (i.e., non-oscillatory) components. While both contribute to conventional measures of power within the frequencies that compose EEG recordings, the periodic aspect characterizes true oscillations, the speed of which is thought to be critical to efficient functioning of neural systems. Given evidence of EEG power abnormalities in schizophrenia (SCZ), we sought to determine whether the periodic aspect of EEG was aberrant in people with SCZ and could serve as a general measure of brain efficiency.</div></div><div><h3>Methods</h3><div>Resting-state EEGs were gathered from 104 participants with SCZ and 105 healthy control participants. We used the FOOOF toolbox to remove aperiodic neural activity. We computed the cross-correlation between power spectra for individual participants and the mean power spectrum for all participants to quantify the relative speed of neural oscillations.</div></div><div><h3>Results</h3><div>Periodic activity in SCZ was shifted toward lower frequencies than control participants during eyes-closed rest. On average, participants with SCZ had a 0.55-Hz shift toward oscillatory slowing across the frequency spectrum that predicted worse perceptual reasoning.</div></div><div><h3>Conclusions</h3><div>Slowed periodic activity at rest is evident in SCZ and may represent inefficient functioning of neural circuits as reflected in worse perceptual reasoning. A slower pace of neural oscillations may be a general limitation on the transmission of information within the brain.</div></div>","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 7","pages":"Pages 693-698"},"PeriodicalIF":5.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142057539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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/S2451-9022(25)00179-X","DOIUrl":"10.1016/S2451-9022(25)00179-X","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 7","pages":"Page A2"},"PeriodicalIF":5.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Getting to the Bottom of Things: Magnetoencephalography Reveals Weak Ventral Frontal Reward Responses in Adults With Major Depressive Disorder","authors":"Daniel G. Dillon","doi":"10.1016/j.bpsc.2025.04.014","DOIUrl":"10.1016/j.bpsc.2025.04.014","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 7","pages":"Pages 679-680"},"PeriodicalIF":5.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144534793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ketamine and the Auditory Steady-State Response: A Test of the NMDA Receptor Hypofunction Model of Schizophrenia","authors":"Kevin M. Spencer","doi":"10.1016/j.bpsc.2025.05.004","DOIUrl":"10.1016/j.bpsc.2025.05.004","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 7","pages":"Pages 675-676"},"PeriodicalIF":5.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144534792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial Board Page","authors":"","doi":"10.1016/S2451-9022(25)00178-8","DOIUrl":"10.1016/S2451-9022(25)00178-8","url":null,"abstract":"","PeriodicalId":54231,"journal":{"name":"Biological Psychiatry-Cognitive Neuroscience and Neuroimaging","volume":"10 7","pages":"Page A1"},"PeriodicalIF":5.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}