Pub Date : 2024-07-10DOI: 10.1038/s44220-024-00287-1
Qianying Wu, Sarah Oh, Reza Tadayonnejad, Jamie D. Feusner, Jeffrey Cockburn, John P. O’Doherty, Caroline J. Charpentier
The ability to infer the goals and intentions of others is crucial for social interactions, and such social capabilities are broadly distributed across individuals. Autism-like traits (that is, traits associated with autism spectrum disorder (ASD)) have been associated with reduced social inference, yet the underlying computational principles and social cognitive processes are not well characterized. Here we tackle this problem by investigating inference during social learning through computational modeling in two large cross-sectional samples of adult participants from the general population (N1 = 943, N2 = 352). Autism-like traits were extracted and isolated from other associated symptom dimensions through a factor analysis of the Social Responsiveness Scale. Participants completed an observational learning task to quantify the tradeoff between two social learning strategies: imitation (repeating the observed partner’s most recent action) and emulation (inferring the observed partner’s goal). Autism-like traits were associated with reduced observational learning specifically through reduced emulation (but not imitation), revealing difficulties in social goal inference (Pearson’s r = −0.124, P < 0.001). This association held, even when controlling for other model parameters (for example, decision noise, heuristics, F1,925 = 15.352, P < 0.001), and was specifically related to social difficulties in autism-like traits (F1,916 = 33.169, P < 0.001) but not social anxiety traits (F1,916 = 0.005, P = 0.945). The findings, replicated in an additional sample, provide a powerfully specific mechanistic hypothesis for social learning challenges in ASD, employing a computational psychiatry approach that could be applied to other disorders. Using a computational approach, Wu et al. find that autism-related traits are associated with reduced observational learning specifically through reduced goal emulation, revealing difficulties in social goal inference.
{"title":"Individual differences in autism-like traits are associated with reduced goal emulation in a computational model of observational learning","authors":"Qianying Wu, Sarah Oh, Reza Tadayonnejad, Jamie D. Feusner, Jeffrey Cockburn, John P. O’Doherty, Caroline J. Charpentier","doi":"10.1038/s44220-024-00287-1","DOIUrl":"10.1038/s44220-024-00287-1","url":null,"abstract":"The ability to infer the goals and intentions of others is crucial for social interactions, and such social capabilities are broadly distributed across individuals. Autism-like traits (that is, traits associated with autism spectrum disorder (ASD)) have been associated with reduced social inference, yet the underlying computational principles and social cognitive processes are not well characterized. Here we tackle this problem by investigating inference during social learning through computational modeling in two large cross-sectional samples of adult participants from the general population (N1 = 943, N2 = 352). Autism-like traits were extracted and isolated from other associated symptom dimensions through a factor analysis of the Social Responsiveness Scale. Participants completed an observational learning task to quantify the tradeoff between two social learning strategies: imitation (repeating the observed partner’s most recent action) and emulation (inferring the observed partner’s goal). Autism-like traits were associated with reduced observational learning specifically through reduced emulation (but not imitation), revealing difficulties in social goal inference (Pearson’s r = −0.124, P < 0.001). This association held, even when controlling for other model parameters (for example, decision noise, heuristics, F1,925 = 15.352, P < 0.001), and was specifically related to social difficulties in autism-like traits (F1,916 = 33.169, P < 0.001) but not social anxiety traits (F1,916 = 0.005, P = 0.945). The findings, replicated in an additional sample, provide a powerfully specific mechanistic hypothesis for social learning challenges in ASD, employing a computational psychiatry approach that could be applied to other disorders. Using a computational approach, Wu et al. find that autism-related traits are associated with reduced observational learning specifically through reduced goal emulation, revealing difficulties in social goal inference.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141662544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-09DOI: 10.1038/s44220-024-00278-2
Ronald McGregor, Ming-Fung Wu, Thomas C. Thannickal, Songlin Li, Jerome M. Siegel
Heroin use disorder in humans and chronic opioid administration to mice result in an increase in the number and a decrease in the size of detected hypocretin (Hcrt, or orexin) neurons. Chronic morphine administration to mice increases Hcrt axonal projections to the ventral tegmental area (VTA), the level of tyrosine hydroxylase (TH) in VTA and the number of detected TH+ cells in VTA, and activates VTA and hypothalamic microglia. Co-administration of morphine with the dual Hcrt receptor antagonist suvorexant prevents morphine-induced changes in the number and size of Hcrt neurons, the increase in Hcrt projections to the VTA and microglial activation in the VTA and hypothalamus. Co-administration of suvorexant with morphine also prevents morphine anticipatory behavior and reduces opioid withdrawal symptoms. However, suvorexant does not diminish morphine analgesia. Here we show that combined administration of opioids and suvorexant may reduce the addiction potential of opioid use for pain relief in humans while maintaining the analgesic effects of opioids. The authors demonstrate that, in a mouse model of heroin use disorder, co-administration of morphine and suvorexant prevented both morphine-induced anatomical changes in hypocretin neurons and morphine anticipation and reduced morphine withdrawal behavior but spared analgesia, suggesting applications for reducing opioid addiction potential in humans.
{"title":"Opioid-induced neuroanatomical, microglial and behavioral changes are blocked by suvorexant without diminishing opioid analgesia","authors":"Ronald McGregor, Ming-Fung Wu, Thomas C. Thannickal, Songlin Li, Jerome M. Siegel","doi":"10.1038/s44220-024-00278-2","DOIUrl":"10.1038/s44220-024-00278-2","url":null,"abstract":"Heroin use disorder in humans and chronic opioid administration to mice result in an increase in the number and a decrease in the size of detected hypocretin (Hcrt, or orexin) neurons. Chronic morphine administration to mice increases Hcrt axonal projections to the ventral tegmental area (VTA), the level of tyrosine hydroxylase (TH) in VTA and the number of detected TH+ cells in VTA, and activates VTA and hypothalamic microglia. Co-administration of morphine with the dual Hcrt receptor antagonist suvorexant prevents morphine-induced changes in the number and size of Hcrt neurons, the increase in Hcrt projections to the VTA and microglial activation in the VTA and hypothalamus. Co-administration of suvorexant with morphine also prevents morphine anticipatory behavior and reduces opioid withdrawal symptoms. However, suvorexant does not diminish morphine analgesia. Here we show that combined administration of opioids and suvorexant may reduce the addiction potential of opioid use for pain relief in humans while maintaining the analgesic effects of opioids. The authors demonstrate that, in a mouse model of heroin use disorder, co-administration of morphine and suvorexant prevented both morphine-induced anatomical changes in hypocretin neurons and morphine anticipation and reduced morphine withdrawal behavior but spared analgesia, suggesting applications for reducing opioid addiction potential in humans.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141664442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-09DOI: 10.1038/s44220-024-00293-3
Camille M. Williams, Hugo Peyre, Tobias Wolfram, Younga H. Lee, Jakob Seidlitz, Tian Ge, Jordan W. Smoller, Travis T. Mallard, Franck Ramus
{"title":"Publisher Correction: Characterizing the phenotypic and genetic structure of psychopathology in UK Biobank","authors":"Camille M. Williams, Hugo Peyre, Tobias Wolfram, Younga H. Lee, Jakob Seidlitz, Tian Ge, Jordan W. Smoller, Travis T. Mallard, Franck Ramus","doi":"10.1038/s44220-024-00293-3","DOIUrl":"10.1038/s44220-024-00293-3","url":null,"abstract":"","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-024-00293-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141968564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-05DOI: 10.1038/s44220-024-00271-9
Leonardo Tozzi, Claire Bertrand, Laura Michele Hack, Timothy Lyons, Alisa Marie Olmsted, Divya Rajasekharan, TeChieh Chen, Yosef A. Berlow, Jerome A. Yesavage, Kelvin Lim, Michelle R. Madore, Noah S. Philip, Paul Holtzheimer, Leanne Maree Williams
We previously identified a cognitive biotype of depression characterized by treatment resistance, impaired cognitive control behavioral performance and dysfunction in the cognitive control circuit, comprising the dorsolateral prefrontal cortex (dLPFC) and dorsal anterior cingulate cortex (dACC). Therapeutic transcranial magnetic stimulation (TMS) to the left dLPFC is a promising option for individuals whose depression does not respond to pharmacotherapy. Here, 43 veterans with treatment-resistant depression were assessed before TMS, after early TMS and post-TMS using functional magnetic resonance imaging during a Go–NoGo paradigm, behavioral cognitive control tests and symptom questionnaires. Stratifying veterans at baseline based on task-evoked dLPFC–dACC connectivity, we demonstrate that TMS-related improvement in cognitive control circuit connectivity and behavioral performance is specific to individuals with reduced connectivity at baseline (cognitive biotype +), whereas individuals with intact connectivity at baseline (cognitive biotype −) did not demonstrate significant changes. Our findings show that dLPFC–dACC connectivity during cognitive control is both a promising diagnostic biomarker for a cognitive biotype of depression and a response biomarker for cognitive improvement after TMS applied to the dLPFC. The authors investigate functional connectivity before and after transcranial magnetic stimulation in veterans with treatment-resistant depression stratified by cognitive biotype, demonstrating associated brain connectivity-mediated improvement in cognitive behavioral task performance.
{"title":"A cognitive neural circuit biotype of depression showing functional and behavioral improvement after transcranial magnetic stimulation in the B-SMART-fMRI trial","authors":"Leonardo Tozzi, Claire Bertrand, Laura Michele Hack, Timothy Lyons, Alisa Marie Olmsted, Divya Rajasekharan, TeChieh Chen, Yosef A. Berlow, Jerome A. Yesavage, Kelvin Lim, Michelle R. Madore, Noah S. Philip, Paul Holtzheimer, Leanne Maree Williams","doi":"10.1038/s44220-024-00271-9","DOIUrl":"10.1038/s44220-024-00271-9","url":null,"abstract":"We previously identified a cognitive biotype of depression characterized by treatment resistance, impaired cognitive control behavioral performance and dysfunction in the cognitive control circuit, comprising the dorsolateral prefrontal cortex (dLPFC) and dorsal anterior cingulate cortex (dACC). Therapeutic transcranial magnetic stimulation (TMS) to the left dLPFC is a promising option for individuals whose depression does not respond to pharmacotherapy. Here, 43 veterans with treatment-resistant depression were assessed before TMS, after early TMS and post-TMS using functional magnetic resonance imaging during a Go–NoGo paradigm, behavioral cognitive control tests and symptom questionnaires. Stratifying veterans at baseline based on task-evoked dLPFC–dACC connectivity, we demonstrate that TMS-related improvement in cognitive control circuit connectivity and behavioral performance is specific to individuals with reduced connectivity at baseline (cognitive biotype +), whereas individuals with intact connectivity at baseline (cognitive biotype −) did not demonstrate significant changes. Our findings show that dLPFC–dACC connectivity during cognitive control is both a promising diagnostic biomarker for a cognitive biotype of depression and a response biomarker for cognitive improvement after TMS applied to the dLPFC. The authors investigate functional connectivity before and after transcranial magnetic stimulation in veterans with treatment-resistant depression stratified by cognitive biotype, demonstrating associated brain connectivity-mediated improvement in cognitive behavioral task performance.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-024-00271-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141675292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-04DOI: 10.1038/s44220-024-00281-7
David A. A. Baranger, Alex P. Miller, Aaron J. Gorelik, Sarah E. Paul, Alexander S. Hatoum, Emma C. Johnson, Sarah M. C. Colbert, Christopher D. Smyser, Cynthia E. Rogers, Janine D. Bijsterbosch, Arpana Agrawal, Ryan Bogdan
Prenatal cannabis exposure (PCE) is associated with mental health problems in early adolescence, but the possible neurobiological mechanisms remain unknown. In a large longitudinal sample of adolescents (ages 9–12 years, n = 9,322–10,186), we find that PCE is associated with localized differences in gray and white matter of the frontal and parietal cortices, their associated white matter tracts, and striatal resting-state connectivity, even after accounting for potential pregnancy, familial, and child confounds. Variability in forceps minor and pars triangularis diffusion metrics partially longitudinally mediate associations of PCE with attention problems and attention deficit hyperactivity disorder symptoms. PCE-related differences in brain development may confer vulnerability to worse mental health in early adolescence. The authors used data from the ABCD Study to examine the effects of prenatal cannabis exposure on neuroimaging metrics and mental health in adolescents.
{"title":"Prenatal cannabis exposure, the brain, and psychopathology during early adolescence","authors":"David A. A. Baranger, Alex P. Miller, Aaron J. Gorelik, Sarah E. Paul, Alexander S. Hatoum, Emma C. Johnson, Sarah M. C. Colbert, Christopher D. Smyser, Cynthia E. Rogers, Janine D. Bijsterbosch, Arpana Agrawal, Ryan Bogdan","doi":"10.1038/s44220-024-00281-7","DOIUrl":"10.1038/s44220-024-00281-7","url":null,"abstract":"Prenatal cannabis exposure (PCE) is associated with mental health problems in early adolescence, but the possible neurobiological mechanisms remain unknown. In a large longitudinal sample of adolescents (ages 9–12 years, n = 9,322–10,186), we find that PCE is associated with localized differences in gray and white matter of the frontal and parietal cortices, their associated white matter tracts, and striatal resting-state connectivity, even after accounting for potential pregnancy, familial, and child confounds. Variability in forceps minor and pars triangularis diffusion metrics partially longitudinally mediate associations of PCE with attention problems and attention deficit hyperactivity disorder symptoms. PCE-related differences in brain development may confer vulnerability to worse mental health in early adolescence. The authors used data from the ABCD Study to examine the effects of prenatal cannabis exposure on neuroimaging metrics and mental health in adolescents.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141678418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-04DOI: 10.1038/s44220-024-00272-8
Camille M. Williams, Hugo Peyre, Tobias Wolfram, Younga H. Lee, Jakob Seidlitz, Tian Ge, Jordan W. Smoller, Travis T. Mallard, Franck Ramus
Mental health conditions are characterized by higher-order transdiagnostic factor structures, which may contribute to the high levels of comorbidity observed in psychopathology. However, the phenotypic and genetic structures of various psychopathology diagnoses may differ, raising questions about the validity and utility of these factors. Here we study the phenotypic and genetic factor structures of ten psychiatric conditions using UK Biobank and public genomic data. Although the factor structure of psychopathology was generally genetically and phenotypically consistent, conditions related to externalizing (for example, alcohol use disorder) and compulsivity (for example, eating disorders) exhibited cross-level disparities in their relationships with other conditions, possibly due to environmental influences. Domain-level factors, especially thought disorder and internalizing factors, were more informative than a general psychopathology factor in genome-wide association and polygenic index analyses. Collectively, our findings enhance the understanding of comorbidity and shared etiology, highlight the intricate interplay between genes and environment, and offer guidance for psychiatric research using polygenic indices. In this study using UK Biobank and genomic data, the phenotypic and genetic factor structures across ten psychiatric conditions are analyzed, finding general genetic and phenotypic consistency but greater potential gene and environment disparities in conditions associated with externalizing disorders.
{"title":"Characterizing the phenotypic and genetic structure of psychopathology in UK Biobank","authors":"Camille M. Williams, Hugo Peyre, Tobias Wolfram, Younga H. Lee, Jakob Seidlitz, Tian Ge, Jordan W. Smoller, Travis T. Mallard, Franck Ramus","doi":"10.1038/s44220-024-00272-8","DOIUrl":"10.1038/s44220-024-00272-8","url":null,"abstract":"Mental health conditions are characterized by higher-order transdiagnostic factor structures, which may contribute to the high levels of comorbidity observed in psychopathology. However, the phenotypic and genetic structures of various psychopathology diagnoses may differ, raising questions about the validity and utility of these factors. Here we study the phenotypic and genetic factor structures of ten psychiatric conditions using UK Biobank and public genomic data. Although the factor structure of psychopathology was generally genetically and phenotypically consistent, conditions related to externalizing (for example, alcohol use disorder) and compulsivity (for example, eating disorders) exhibited cross-level disparities in their relationships with other conditions, possibly due to environmental influences. Domain-level factors, especially thought disorder and internalizing factors, were more informative than a general psychopathology factor in genome-wide association and polygenic index analyses. Collectively, our findings enhance the understanding of comorbidity and shared etiology, highlight the intricate interplay between genes and environment, and offer guidance for psychiatric research using polygenic indices. In this study using UK Biobank and genomic data, the phenotypic and genetic factor structures across ten psychiatric conditions are analyzed, finding general genetic and phenotypic consistency but greater potential gene and environment disparities in conditions associated with externalizing disorders.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141968558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-04DOI: 10.1038/s44220-024-00288-0
Postpartum depression (PPD) is a major public health concern, yet we lack tools to predict PPD during pregnancy. We found that lower sensorimotor gating, as measured by prepulse inhibition (PPI) of the startle response, can predict risk of PPD in women who were not depressed during their pregnancy.
{"title":"Predicting risk of postpartum depression using neurophysiological measures","authors":"","doi":"10.1038/s44220-024-00288-0","DOIUrl":"10.1038/s44220-024-00288-0","url":null,"abstract":"Postpartum depression (PPD) is a major public health concern, yet we lack tools to predict PPD during pregnancy. We found that lower sensorimotor gating, as measured by prepulse inhibition (PPI) of the startle response, can predict risk of PPD in women who were not depressed during their pregnancy.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141680591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1038/s44220-024-00279-1
Allison Eriksson, Richelle D. Björvang, Ebba Ancker, Fotios C. Papadopoulos, Inger Sundström Poromaa, Emma Fransson, Alkistis Skalkidou
Predictive measures for postpartum depression (PPD), which affects around 12% of childbearing women, would enable early, targeted support. Here we explore prepulse inhibition (PPI), a measure of sensorimotor processing, as a biological tool for prediction of women at risk for PPD. Using data from the longitudinal BASIC study in Uppsala, Sweden, we used PPI measures from late pregnancy and reports on depressive symptoms assessed 6 weeks postpartum with the Edinburgh Postnatal Depression Scale to determine the association between pregnancy PPI and PPD. Lower PPI was associated with PPD onset in women who were not depressed during pregnancy. Further studies are encouraged to validate these promising results suggesting PPI as a predictive marker of new-onset PPD. In this study the authors investigate whether prepulse inhibition, measured in late pregnancy, could predict depressive symptom status at 6 weeks postpartum.
产后抑郁症（PPD）影响着约 12% 的育龄妇女，产后抑郁症的预测措施将有助于及早提供有针对性的支持。在此，我们探讨了作为预测产后抑郁症高危妇女的生物学工具的前脉冲抑制（PPI），这是一种感官运动处理测量方法。利用瑞典乌普萨拉市纵向 BASIC 研究的数据，我们使用了孕晚期的 PPI 测量值和产后 6 周使用爱丁堡产后抑郁量表评估的抑郁症状报告，以确定孕期 PPI 与 PPD 之间的关联。在孕期没有抑郁的妇女中，较低的 PPI 与 PPD 的发生有关。我们鼓励进一步的研究来验证这些有希望的结果，这些结果表明 PPI 是新发 PPD 的预测标志物。在这项研究中，作者调查了在妊娠晚期测量的前脉冲抑制是否可以预测产后 6 周的抑郁症状状态。
{"title":"The role of prepulse inhibition in predicting new-onset postpartum depression","authors":"Allison Eriksson, Richelle D. Björvang, Ebba Ancker, Fotios C. Papadopoulos, Inger Sundström Poromaa, Emma Fransson, Alkistis Skalkidou","doi":"10.1038/s44220-024-00279-1","DOIUrl":"10.1038/s44220-024-00279-1","url":null,"abstract":"Predictive measures for postpartum depression (PPD), which affects around 12% of childbearing women, would enable early, targeted support. Here we explore prepulse inhibition (PPI), a measure of sensorimotor processing, as a biological tool for prediction of women at risk for PPD. Using data from the longitudinal BASIC study in Uppsala, Sweden, we used PPI measures from late pregnancy and reports on depressive symptoms assessed 6 weeks postpartum with the Edinburgh Postnatal Depression Scale to determine the association between pregnancy PPI and PPD. Lower PPI was associated with PPD onset in women who were not depressed during pregnancy. Further studies are encouraged to validate these promising results suggesting PPI as a predictive marker of new-onset PPD. In this study the authors investigate whether prepulse inhibition, measured in late pregnancy, could predict depressive symptom status at 6 weeks postpartum.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-024-00279-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141699584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-26DOI: 10.1038/s44220-024-00282-6
Diensn G. Xing, Farhan Mohiuddin, Md. Shenuarin Bhuiyan, Md. Ismail Hossain, Zaki Al-Yafeai, Abu Saleh Mosa Faisal, Nicholas E. Goeders, Steven A. Conrad, John A. Vanchiere, James C. Patterson, Christopher G. Kevil, Mohammad Alfrad Nobel Bhuiyan
Methamphetamine is a growing health problem, as is mental health illness. However, no studies have investigated the combinatory effects of both diseases or characterized national trends over a period of time greater than 10 years. We evaluated US trends in mental health disorder-related hospital admissions (MHD-HAs) and compared them with those with concurrent methamphetamine use (MHD-HA-MUs), comparing the demographic characteristics from 2008 to 2020. Our findings reveal a significant increase in MHD-HA-MUs, increasing 10.5-fold, compared with a 1.4-fold increase in MHD-HAs. We also found a 1.53 times higher adjusted prevalence ratio of MHD-HA-MUs compared with MHD-HAs, even when adjusted for confounding factors. MHD-HA-MUs increased significantly among male patients (13-fold), non-Hispanic Black patients (39-fold), those aged 41–64 years (16-fold), and the South (24-fold). Overall, the data suggest that there are synergistic effects with methamphetamine use and mental health disorder, highlighting this patient group’s unique needs, requiring distinct action. Investigating the influence of using methamphetamine on the rate of admissions for mental health disorders, this study finds that concurrent methamphetamine use increased mental health-related hospital admissions 10.5-fold. Increased prevalence was also found for men, non-Hispanic Black people, middle-aged adults, and people living in the South.
{"title":"Prevalence and patterns of methamphetamine use and mental health disparity in the United States","authors":"Diensn G. Xing, Farhan Mohiuddin, Md. Shenuarin Bhuiyan, Md. Ismail Hossain, Zaki Al-Yafeai, Abu Saleh Mosa Faisal, Nicholas E. Goeders, Steven A. Conrad, John A. Vanchiere, James C. Patterson, Christopher G. Kevil, Mohammad Alfrad Nobel Bhuiyan","doi":"10.1038/s44220-024-00282-6","DOIUrl":"10.1038/s44220-024-00282-6","url":null,"abstract":"Methamphetamine is a growing health problem, as is mental health illness. However, no studies have investigated the combinatory effects of both diseases or characterized national trends over a period of time greater than 10 years. We evaluated US trends in mental health disorder-related hospital admissions (MHD-HAs) and compared them with those with concurrent methamphetamine use (MHD-HA-MUs), comparing the demographic characteristics from 2008 to 2020. Our findings reveal a significant increase in MHD-HA-MUs, increasing 10.5-fold, compared with a 1.4-fold increase in MHD-HAs. We also found a 1.53 times higher adjusted prevalence ratio of MHD-HA-MUs compared with MHD-HAs, even when adjusted for confounding factors. MHD-HA-MUs increased significantly among male patients (13-fold), non-Hispanic Black patients (39-fold), those aged 41–64 years (16-fold), and the South (24-fold). Overall, the data suggest that there are synergistic effects with methamphetamine use and mental health disorder, highlighting this patient group’s unique needs, requiring distinct action. Investigating the influence of using methamphetamine on the rate of admissions for mental health disorders, this study finds that concurrent methamphetamine use increased mental health-related hospital admissions 10.5-fold. Increased prevalence was also found for men, non-Hispanic Black people, middle-aged adults, and people living in the South.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141968557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-25DOI: 10.1038/s44220-024-00268-4
Bridget L. Callaghan, Clare McCormack, Pilyoung Kim, Jodi L. Pawluski
The transition to motherhood is a time when nearly all aspects of a female’s existence are modified—from her biological processes to her social role. In recent years we have substantially increased our interest in this developmental period of a woman’s life (matrescence), with a focus on the neurobiology of motherhood and maternal mental health. However, one potential set of factors that is likely driving maternal vulnerability to mental illness is the growing burden of the mental load of motherhood. This mental load is part and parcel of bearing and parenting a young child, but its impact on mothers is undeniable. Here, we review how this mental load may impact the maternal brain and outline how it may be especially pronounced in the modern day, as mothers are dealing with additional pressures such as poverty, single parenthood, lack of institutional policies for parents, and the rise of intensive mothering ideologies. We contextualize the mental load of motherhood within the framework of maternal brain plasticity, and we urge future researchers to consider this framework when studying maternal mental health more broadly. There is an urgent need to approach research with an understanding of what the majority of mothers experience to make advances in supporting a healthy transition to motherhood. This Review discusses the key factors that comprise the mental load of motherhood and the need to provide support for a healthy transition to motherhood.
{"title":"Understanding the maternal brain in the context of the mental load of motherhood","authors":"Bridget L. Callaghan, Clare McCormack, Pilyoung Kim, Jodi L. Pawluski","doi":"10.1038/s44220-024-00268-4","DOIUrl":"10.1038/s44220-024-00268-4","url":null,"abstract":"The transition to motherhood is a time when nearly all aspects of a female’s existence are modified—from her biological processes to her social role. In recent years we have substantially increased our interest in this developmental period of a woman’s life (matrescence), with a focus on the neurobiology of motherhood and maternal mental health. However, one potential set of factors that is likely driving maternal vulnerability to mental illness is the growing burden of the mental load of motherhood. This mental load is part and parcel of bearing and parenting a young child, but its impact on mothers is undeniable. Here, we review how this mental load may impact the maternal brain and outline how it may be especially pronounced in the modern day, as mothers are dealing with additional pressures such as poverty, single parenthood, lack of institutional policies for parents, and the rise of intensive mothering ideologies. We contextualize the mental load of motherhood within the framework of maternal brain plasticity, and we urge future researchers to consider this framework when studying maternal mental health more broadly. There is an urgent need to approach research with an understanding of what the majority of mothers experience to make advances in supporting a healthy transition to motherhood. This Review discusses the key factors that comprise the mental load of motherhood and the need to provide support for a healthy transition to motherhood.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141608127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：