Biological Psychiatry最新文献

{"title":"Subscribers Page","authors":"","doi":"10.1016/S0006-3223(24)01467-7","DOIUrl":"10.1016/S0006-3223(24)01467-7","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"96 6","pages":"Page A2"},"PeriodicalIF":9.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006793","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 Thoughts to Actions: Neural Network Mechanisms and Prediction of Suicide in Major Depressive Disorder","authors":"Min Xia , Jincheng Lu , Bin Wang","doi":"10.1016/j.biopsych.2024.07.004","DOIUrl":"10.1016/j.biopsych.2024.07.004","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"96 6","pages":"Pages 417-419"},"PeriodicalIF":9.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006309","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(24)01470-7","DOIUrl":"10.1016/S0006-3223(24)01470-7","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"96 6","pages":"Pages A5-A10"},"PeriodicalIF":9.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0006322324014707/pdfft?md5=4ada16c75185332a48bd8b5237221d1b&pid=1-s2.0-S0006322324014707-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial Board Page","authors":"","doi":"10.1016/S0006-3223(24)01466-5","DOIUrl":"10.1016/S0006-3223(24)01466-5","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"96 6","pages":"Page A1"},"PeriodicalIF":9.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0006322324014665/pdfft?md5=88bc49431585fb5351d752de4dab150f&pid=1-s2.0-S0006322324014665-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Promise of Primate Brain Mapping of Neuroeconomics","authors":"Kathleen A. Grant","doi":"10.1016/j.biopsych.2024.07.005","DOIUrl":"10.1016/j.biopsych.2024.07.005","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"96 6","pages":"Pages 420-421"},"PeriodicalIF":9.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006313","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":"Epigenetic Regulation of Neural Activity in the Depressed Brain: The Two Faces of the Histone Deacetylase SIRT1","authors":"Angélica Torres-Berrío","doi":"10.1016/j.biopsych.2024.07.006","DOIUrl":"10.1016/j.biopsych.2024.07.006","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"96 6","pages":"Pages e7-e9"},"PeriodicalIF":9.6,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006314","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":"Expression of Concern.","authors":"","doi":"10.1016/j.biopsych.2024.06.006","DOIUrl":"10.1016/j.biopsych.2024.06.006","url":null,"abstract":"","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":"96 4","pages":"322"},"PeriodicalIF":9.6,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141756969","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":"Brain-Charting Autism and Attention-Deficit/Hyperactivity Disorder Reveals Distinct and Overlapping Neurobiology.","authors":"Saashi A Bedford, Meng-Chuan Lai, Michael V Lombardo, Bhismadev Chakrabarti, Amber Ruigrok, John Suckling, Evdokia Anagnostou, Jason P Lerch, Margot Taylor, Rob Nicolson, Georgiades Stelios, Jennifer Crosbie, Russell Schachar, Elizabeth Kelley, Jessica Jones, Paul D Arnold, Eric Courchesne, Karen Pierce, Lisa T Eyler, Kathleen Campbell, Cynthia Carter Barnes, Jakob Seidlitz, Aaron F Alexander-Bloch, Edward T Bullmore, Simon Baron-Cohen, Richard A I Bethlehem","doi":"10.1016/j.biopsych.2024.07.024","DOIUrl":"10.1016/j.biopsych.2024.07.024","url":null,"abstract":"<p><strong>Background: </strong>Autism and attention-deficit/hyperactivity disorder (ADHD) are heterogeneous neurodevelopmental conditions with complex underlying neurobiology that is still poorly understood. Despite overlapping presentation and sex-biased prevalence, autism and ADHD are rarely studied together and sex differences are often overlooked. Population modeling, often referred to as normative modeling, provides a unified framework for studying age-specific and sex-specific divergences in brain development.</p><p><strong>Methods: </strong>Here, we used population modeling and a large, multisite neuroimaging dataset (N = 4255 after quality control) to characterize cortical anatomy associated with autism and ADHD, benchmarked against models of average brain development based on a sample of more than 75,000 individuals. We also examined sex and age differences and relationship with autistic traits and explored the co-occurrence of autism and ADHD.</p><p><strong>Results: </strong>We observed robust neuroanatomical signatures of both autism and ADHD. Overall, autistic individuals showed greater cortical thickness and volume that was localized to the superior temporal cortex, whereas individuals with ADHD showed more global increases in cortical thickness but lower cortical volume and surface area across much of the cortex. The co-occurring autism+ADHD group showed a unique pattern of widespread increases in cortical thickness and certain decreases in surface area. We also found that sex modulated the neuroanatomy of autism but not ADHD, and there was an age-by-diagnosis interaction for ADHD only.</p><p><strong>Conclusions: </strong>These results indicate distinct cortical differences in autism and ADHD that are differentially affected by age and sex as well as potentially unique patterns related to their co-occurrence.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141916055","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":"Sleep Deprivation Effects on Brain State Dynamics Are Associated With Dopamine D₂ Receptor Availability Via Network Control Theory.","authors":"Rui Zhang, Sukru Baris Demiral, Dardo Tomasi, Weizheng Yan, Peter Manza, Gene-Jack Wang, Nora D Volkow","doi":"10.1016/j.biopsych.2024.08.001","DOIUrl":"10.1016/j.biopsych.2024.08.001","url":null,"abstract":"<p><strong>Background: </strong>Sleep deprivation (SD) negatively affects brain function. Most brain imaging studies have investigated the effects of SD on static brain function. SD effects on functional brain dynamics and their relationship with molecular changes remain relatively unexplored.</p><p><strong>Methods: </strong>We used functional magnetic resonance imaging to examine resting-brain state dynamics after one night of SD compared with rested wakefulness (N = 41) and assessed the association of brain state dynamics with striatal brain dopamine D₂ receptor availability measured by positron emission tomography [¹¹C]raclopride using network control theory.</p><p><strong>Results: </strong>SD reduced dwell time and persistence probabilities, with the strongest effects in two brain states, one characterized by high default mode network and low dorsal attention network activity and the other by high frontoparietal network and low somatomotor network activity. Using network control theory, we showed that after SD, there was an overall increase in the control energy required for brain state transitions, with effects varying for different brain state transitions. Control energy requirement was negatively associated with transition probabilities under SD and restful wakefulness and accounted for SD-induced changes in transition probabilities. Alteration in the energy landscape was associated with SD-induced changes in striatal D₂ receptor distribution.</p><p><strong>Conclusions: </strong>These findings demonstrate altered occurrence of internally and externally oriented brain states following acute SD and suggest an association with energy requirements for brain state transitions modulated by striatal D₂ receptors.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141911575","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":"Maternal Antenatal Depression Is Associated With Metabolic Alterations That Predict Birth Outcomes and Child Neurodevelopment and Mental Health.","authors":"Polina Girchenko, Marius Lahti-Pulkkinen, Hannele Laivuori, Eero Kajantie, Katri Räikkönen","doi":"10.1016/j.biopsych.2024.07.023","DOIUrl":"10.1016/j.biopsych.2024.07.023","url":null,"abstract":"<p><strong>Background: </strong>Evidence regarding metabolic alterations associated with maternal antenatal depression (AD) is limited, and their role as potential biomarkers that improve the prediction of AD and adverse childbirth, neurodevelopmental, and mental health outcomes remains unexplored.</p><p><strong>Methods: </strong>In a cohort of 331 mother-child dyads, we studied associations between AD (a history of medical register diagnoses and/or a Center for Epidemiological Studies Depression Scale score during pregnancy ≥ 20) and 95 metabolic measures analyzed 3 times during pregnancy. We tested whether the AD-related metabolic measures increased variance explained in AD over its risk factors and in childbirth, neurodevelopmental, and mental health outcomes over AD. We replicated the findings in a cohort of 416 mother-child dyads.</p><p><strong>Results: </strong>Elastic net regression identified 15 metabolic measures that collectively explained 25% (p < .0001) of the variance in AD, including amino and fatty acids, glucose, inflammation, and lipids. These metabolic measures increased the variance explained in AD over its risk factors (32.3%, p < .0001 vs. 12.6%, p = .004) and in child gestational age (9.0%, p < .0001 vs. 0.7%, p = .34), birth weight (9.0%, p = .03 vs. 0.7%, p = .33), developmental milestones at the age of 2.3 to 5.7 years (21.0%, p = .002 vs. 11.6%, p < .001), and any mental or behavioral disorder by the age of 13.1 to 16.8 years (25.2%, p = .03 vs. 5.0%, p = .11) over AD, child sex, and age. These findings were replicated in the independent cohort.</p><p><strong>Conclusions: </strong>AD was associated with alterations in 15 metabolic measures, which collectively improved the prediction of AD over its risk factors and birth, neurodevelopmental, and mental health outcomes in children over AD. These metabolic measures may become biomarkers that can be used to identify at-risk mothers and children for personalized interventions.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141911574","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}