Pub Date : 2024-09-23DOI: 10.1038/s44220-024-00309-y
Nga Yan Tse, Aswin Ratheesh, Ye Ella Tian, Colm G. Connolly, Christopher G. Davey, Saampras Ganesan, Ian H. Gotlib, Ben J. Harrison, Laura K. M. Han, Tiffany C. Ho, Alec J. Jamieson, Jaclyn S. Kirshenbaum, Yong Liu, Xiaohong Ma, Amar Ojha, Jiang Qiu, Matthew D. Sacchet, Lianne Schmaal, Alan N. Simmons, John Suckling, Dongtao Wei, Xiao Yang, Tony T. Yang, Robin F. H. Cash, Andrew Zalesky
Major depressive disorder (MDD) represents the leading cause of mental health disability for young people worldwide but remains poorly understood. Previous neuroimaging research has indicated alterations in the connectivity of brain circuitry in youth MDD; however, findings have been inconsistent. This may relate to limitations in sample size and sample and methodological heterogeneity. In an effort to delineate robust neurobiological markers of youth MDD, we conducted a data-driven, connectome-wide mega-analysis of resting-state functional connectivity in 810 young individuals across 7 independent cohorts with a cross-sectional and case-control design. Compared with healthy comparison individuals (n = 370), youth MDD (n = 440) was associated with significant alterations in connectivity of densely connected brain areas (hubs), anchored in the default mode and dorsal and ventral attention networks. Critically, functional connectivity within these networks was significantly associated with depression symptom severity (r = –0.46 for hypoconnected regions and r = 0.53 for hyperconnected regions; both P values < 0.001), indicating the clinical relevance of functional connectivity alterations. Further, machine-learning analyses demonstrated that individual diagnostic status (AUC = 73.1%) and clinical severity (r = 0.14, P = 0.008) could be predicted on the basis of functional connectivity alone in unseen data using leave-one-site-out cross-validation. Together, our work represents an important first step toward robust characterization of the neurobiological basis of youth depression. We demonstrate the clinical relevance of brain connectivity in youth depression and highlight a critical role of functional hub regions, especially those localized to the default mode and dorsal and ventral attention networks in youth MDD. This mega-analysis of brain resting-state functional connectivity in young individuals with major depressive disorder scanned at six sites across four countries identified hub regions of the attentional and default mode networks as predictors of depression severity.
{"title":"A mega-analysis of functional connectivity and network abnormalities in youth depression","authors":"Nga Yan Tse, Aswin Ratheesh, Ye Ella Tian, Colm G. Connolly, Christopher G. Davey, Saampras Ganesan, Ian H. Gotlib, Ben J. Harrison, Laura K. M. Han, Tiffany C. Ho, Alec J. Jamieson, Jaclyn S. Kirshenbaum, Yong Liu, Xiaohong Ma, Amar Ojha, Jiang Qiu, Matthew D. Sacchet, Lianne Schmaal, Alan N. Simmons, John Suckling, Dongtao Wei, Xiao Yang, Tony T. Yang, Robin F. H. Cash, Andrew Zalesky","doi":"10.1038/s44220-024-00309-y","DOIUrl":"10.1038/s44220-024-00309-y","url":null,"abstract":"Major depressive disorder (MDD) represents the leading cause of mental health disability for young people worldwide but remains poorly understood. Previous neuroimaging research has indicated alterations in the connectivity of brain circuitry in youth MDD; however, findings have been inconsistent. This may relate to limitations in sample size and sample and methodological heterogeneity. In an effort to delineate robust neurobiological markers of youth MDD, we conducted a data-driven, connectome-wide mega-analysis of resting-state functional connectivity in 810 young individuals across 7 independent cohorts with a cross-sectional and case-control design. Compared with healthy comparison individuals (n = 370), youth MDD (n = 440) was associated with significant alterations in connectivity of densely connected brain areas (hubs), anchored in the default mode and dorsal and ventral attention networks. Critically, functional connectivity within these networks was significantly associated with depression symptom severity (r = –0.46 for hypoconnected regions and r = 0.53 for hyperconnected regions; both P values < 0.001), indicating the clinical relevance of functional connectivity alterations. Further, machine-learning analyses demonstrated that individual diagnostic status (AUC = 73.1%) and clinical severity (r = 0.14, P = 0.008) could be predicted on the basis of functional connectivity alone in unseen data using leave-one-site-out cross-validation. Together, our work represents an important first step toward robust characterization of the neurobiological basis of youth depression. We demonstrate the clinical relevance of brain connectivity in youth depression and highlight a critical role of functional hub regions, especially those localized to the default mode and dorsal and ventral attention networks in youth MDD. This mega-analysis of brain resting-state functional connectivity in young individuals with major depressive disorder scanned at six sites across four countries identified hub regions of the attentional and default mode networks as predictors of depression severity.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1169-1182"},"PeriodicalIF":0.0,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435951","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 : 2024-09-19DOI: 10.1038/s44220-024-00310-5
Avshalom Caspi, Renate M. Houts, Terrie E. Moffitt, Leah S. Richmond-Rakerd, Matthew R. Hanna, Hans Fredrik Sunde, Fartein Ask Torvik
How many primary-care encounters are devoted to mental-health conditions compared with physical-health conditions? Here we analyzed Norway’s nationwide administrative primary-care records, extracting all doctor–patient encounters occurring during 14 years (2006–2019) for the population aged 0–100 years. Encounters were recorded according to the International Classification of Primary Care. We compared the volume of mental-health encounters against volumes for conditions in multiple different body systems. A total of 4,875,722 patients generated 354,516,291 encounters. One in 9 encounters (11.7%) involved a mental-health condition. Only musculoskeletal conditions accounted for a greater share of primary-care physicians’ attention. The volume of mental-health encounters in primary care equaled encounters for infections, cardiovascular and respiratory conditions and exceeded encounters for pain, injuries, metabolic, digestive, skin, urological, reproductive and sensory conditions. Primary-care physicians frequently treat complex mental-health conditions in patients of every age. These physicians may have a more important role in preventing the escalation of mental-health problems than heretofore appreciated. The authors present findings of more than 350 million primary-care visits over 14 years in the Norwegian healthcare system, indicating that 1 in 9 encounters involved a mental-health condition and peaking at age 40 years (18.7%).
{"title":"A nationwide analysis of 350 million patient encounters reveals a high volume of mental-health conditions in primary care","authors":"Avshalom Caspi, Renate M. Houts, Terrie E. Moffitt, Leah S. Richmond-Rakerd, Matthew R. Hanna, Hans Fredrik Sunde, Fartein Ask Torvik","doi":"10.1038/s44220-024-00310-5","DOIUrl":"10.1038/s44220-024-00310-5","url":null,"abstract":"How many primary-care encounters are devoted to mental-health conditions compared with physical-health conditions? Here we analyzed Norway’s nationwide administrative primary-care records, extracting all doctor–patient encounters occurring during 14 years (2006–2019) for the population aged 0–100 years. Encounters were recorded according to the International Classification of Primary Care. We compared the volume of mental-health encounters against volumes for conditions in multiple different body systems. A total of 4,875,722 patients generated 354,516,291 encounters. One in 9 encounters (11.7%) involved a mental-health condition. Only musculoskeletal conditions accounted for a greater share of primary-care physicians’ attention. The volume of mental-health encounters in primary care equaled encounters for infections, cardiovascular and respiratory conditions and exceeded encounters for pain, injuries, metabolic, digestive, skin, urological, reproductive and sensory conditions. Primary-care physicians frequently treat complex mental-health conditions in patients of every age. These physicians may have a more important role in preventing the escalation of mental-health problems than heretofore appreciated. The authors present findings of more than 350 million primary-care visits over 14 years in the Norwegian healthcare system, indicating that 1 in 9 encounters involved a mental-health condition and peaking at age 40 years (18.7%).","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1208-1216"},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-024-00310-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435947","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 : 2024-09-16DOI: 10.1038/s44220-024-00314-1
Gunter Schumann, Rosa Barciela, Vivek Benegal, Amy Bernard, Sylvane Desrivieres, Jianfeng Feng, Peng Gong, Andreas Heinz, Xanthe Hunt, Li Jin, Jürg Luterbacher, Andre Marquand, Andreas Meyer-Lindenberg, Jerome Salomon, Ameli Schwalber, Shravya Shetty, Bernd Stahl, Paul Thompson
Announced in this Comment and in collaboration with Nature Mental Health is the convening of the Earth Brain Health Commission, addressing innovative and multidisciplinary approaches to mitigating environment-related mental health harms and promoting wellbeing.
{"title":"The Earth, Brain, Health Commission: how to preserve mental health in a changing environment","authors":"Gunter Schumann, Rosa Barciela, Vivek Benegal, Amy Bernard, Sylvane Desrivieres, Jianfeng Feng, Peng Gong, Andreas Heinz, Xanthe Hunt, Li Jin, Jürg Luterbacher, Andre Marquand, Andreas Meyer-Lindenberg, Jerome Salomon, Ameli Schwalber, Shravya Shetty, Bernd Stahl, Paul Thompson","doi":"10.1038/s44220-024-00314-1","DOIUrl":"10.1038/s44220-024-00314-1","url":null,"abstract":"Announced in this Comment and in collaboration with Nature Mental Health is the convening of the Earth Brain Health Commission, addressing innovative and multidisciplinary approaches to mitigating environment-related mental health harms and promoting wellbeing.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1121-1123"},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-024-00314-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435948","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 : 2024-09-12DOI: 10.1038/s44220-024-00311-4
Shu Liu, Abdel Abdellaoui, Guido A. van Wingen, Karin J. H. Verweij
Risky behavior is a heritable trait that can have negative mental health consequences. It has been associated with variability in cortical structure and function, but the relation between cortex, gene expression and risky behavior remains unclear. Here we investigated associations of structural and functional cortical measures with risky behavior in UK Biobank data (N = 19,205) and examined relationships of the identified cortical patterns with regional gene expression. We found that expression of 49 genes that were previously associated with risky behavior (out of 152 tested) was linked to these cortical patterns. We also observed associations between the identified cortical patterns and gene expression related to psychiatric disorders and specific cortical cell types. Through whole-genome analysis, we selected all genes with expression linked to the identified cortical patterns and identified their associated biological pathways. These findings contribute to a deeper understanding of the neural mechanisms underlying the translation of genetic predispositions into risky behavior. In a large dataset from the UK Biobank, the authors examine the relationships between regional gene expressions and structural and functional features of the cerebral cortex associated with risky behavior.
{"title":"The relation between cortical gene expression and the neural correlates of risky behavior","authors":"Shu Liu, Abdel Abdellaoui, Guido A. van Wingen, Karin J. H. Verweij","doi":"10.1038/s44220-024-00311-4","DOIUrl":"10.1038/s44220-024-00311-4","url":null,"abstract":"Risky behavior is a heritable trait that can have negative mental health consequences. It has been associated with variability in cortical structure and function, but the relation between cortex, gene expression and risky behavior remains unclear. Here we investigated associations of structural and functional cortical measures with risky behavior in UK Biobank data (N = 19,205) and examined relationships of the identified cortical patterns with regional gene expression. We found that expression of 49 genes that were previously associated with risky behavior (out of 152 tested) was linked to these cortical patterns. We also observed associations between the identified cortical patterns and gene expression related to psychiatric disorders and specific cortical cell types. Through whole-genome analysis, we selected all genes with expression linked to the identified cortical patterns and identified their associated biological pathways. These findings contribute to a deeper understanding of the neural mechanisms underlying the translation of genetic predispositions into risky behavior. In a large dataset from the UK Biobank, the authors examine the relationships between regional gene expressions and structural and functional features of the cerebral cortex associated with risky behavior.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1183-1195"},"PeriodicalIF":0.0,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435950","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 : 2024-09-09DOI: 10.1038/s44220-024-00302-5
Martha Newson, S. Alexander Haslam, Catherine Haslam, Tegan Cruwys, Leor Roseman
The recent surge in psychedelics research has identified promising therapeutic uses for conditions including anxiety, post-traumatic stress disorder, anorexia, depression, and addiction. However, medicalized forms often lack a vital ingredient: a social group dimension. By integrating psychedelics into group settings and leveraging their capacity to foster social identities, the effects of psychedelic-assisted therapies could be enhanced, echoing their potency in Indigenous and community contexts. We outline the relevance of the ‘social cure’ model, supported by strong empirical evidence in social identity and health literature, emphasizing the importance of group contexts and social identity-based relationships in the theraputic effects of psychedelics. We present practical implications for therapeutic practice and identify future directions and challenges for social cure research, offering an agenda for theory-informed work to investigate the role of social identities and group connections in psychedelic treatment. In this Perspective, authors overview the ‘social cure’ model employing group contexts, identity, and connections and argue for its use as a therapeutic framework for psychedelic treatment.
{"title":"Social identity processes as a vehicle for therapeutic success in psychedelic treatment","authors":"Martha Newson, S. Alexander Haslam, Catherine Haslam, Tegan Cruwys, Leor Roseman","doi":"10.1038/s44220-024-00302-5","DOIUrl":"10.1038/s44220-024-00302-5","url":null,"abstract":"The recent surge in psychedelics research has identified promising therapeutic uses for conditions including anxiety, post-traumatic stress disorder, anorexia, depression, and addiction. However, medicalized forms often lack a vital ingredient: a social group dimension. By integrating psychedelics into group settings and leveraging their capacity to foster social identities, the effects of psychedelic-assisted therapies could be enhanced, echoing their potency in Indigenous and community contexts. We outline the relevance of the ‘social cure’ model, supported by strong empirical evidence in social identity and health literature, emphasizing the importance of group contexts and social identity-based relationships in the theraputic effects of psychedelics. We present practical implications for therapeutic practice and identify future directions and challenges for social cure research, offering an agenda for theory-informed work to investigate the role of social identities and group connections in psychedelic treatment. In this Perspective, authors overview the ‘social cure’ model employing group contexts, identity, and connections and argue for its use as a therapeutic framework for psychedelic treatment.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 9","pages":"1010-1017"},"PeriodicalIF":0.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142160301","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 : 2024-09-09DOI: 10.1038/s44220-024-00319-w
Translational science is often characterized metaphorically, as bridging the gaps among multidisciplinary research areas. However, in reality, translational work is often separate or excluded from clinical research. Integrating elements of translational and clinical work into more general mental health research is key to innovation and progress.
{"title":"Found in translation — translational science in mental health research","authors":"","doi":"10.1038/s44220-024-00319-w","DOIUrl":"10.1038/s44220-024-00319-w","url":null,"abstract":"Translational science is often characterized metaphorically, as bridging the gaps among multidisciplinary research areas. However, in reality, translational work is often separate or excluded from clinical research. Integrating elements of translational and clinical work into more general mental health research is key to innovation and progress.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 9","pages":"1003-1003"},"PeriodicalIF":0.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-024-00319-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142160299","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 : 2024-09-09DOI: 10.1038/s44220-024-00306-1
Long-Biao Cui, Shu-Wan Zhao, Ya-Hong Zhang, Kun Chen, Yu-Fei Fu, Ting Qi, Mengya Wang, Jing-Wen Fan, Yue-Wen Gu, Xiao-Fan Liu, Xiao-Sa Li, Wen-Jun Wu, Di Wu, Hua-Ning Wang, Yong Liu, Hong Yin, Martijn P. van den Heuvel, Yongbin Wei
Understanding the relationship between genetic variations and brain abnormalities is crucial for uncovering the cross-scale pathophysiological mechanisms underlying schizophrenia. This cross-sectional study identifies brain structural correlates of individual variation in gene expression in schizophrenia and its clinical implication. RNA-sequencing data from blood samples, magnetic resonance imaging scans and clinical assessments were collected from 43 patients with schizophrenia, together with data from 60 healthy controls. Using RNA-sequencing data we show alterations in both gene-level and isoform-level expression between patients with schizophrenia and healthy controls (1,836 genes and 1,104 isoforms, false-discover-rate-adjusted P < 0.05). We also show differential gene expression to be associated with schizophrenia-related genomic variations (based on genome-wide association study data on 76,755 patients and 243,649 controls; regression coefficient (β) = 0.211, P = 0.001) and differential brain gene expression (P < 0.001, hypergeometric test). Multivariate correlation analysis combining gene expression and brain imaging shows that transcriptional levels of differentially expressed genes significantly correlate with gray matter volume in the frontal and temporal regions of cognitive brain networks in patients with schizophrenia (P < 0.001, permutation test). Findings show a significant association between gene expression, gray matter volume and cognitive performance in patients (P = 0.031, permutation test). Our results suggest that genomic variants in individuals with schizophrenia are associated with alterations in the transcriptome, which plays a role in individual variations in macroscale brain structure and cognition, contributing to building a comprehensive, multi-omics marker for the assessment of schizophrenia. This study examining blood transcriptomic, neuroimaging and clinical data in people with schizophrenia shows a relationship between individual variations in gene transcription, brain structure and cognitive performance.
{"title":"Associated transcriptional, brain and clinical variations in schizophrenia","authors":"Long-Biao Cui, Shu-Wan Zhao, Ya-Hong Zhang, Kun Chen, Yu-Fei Fu, Ting Qi, Mengya Wang, Jing-Wen Fan, Yue-Wen Gu, Xiao-Fan Liu, Xiao-Sa Li, Wen-Jun Wu, Di Wu, Hua-Ning Wang, Yong Liu, Hong Yin, Martijn P. van den Heuvel, Yongbin Wei","doi":"10.1038/s44220-024-00306-1","DOIUrl":"10.1038/s44220-024-00306-1","url":null,"abstract":"Understanding the relationship between genetic variations and brain abnormalities is crucial for uncovering the cross-scale pathophysiological mechanisms underlying schizophrenia. This cross-sectional study identifies brain structural correlates of individual variation in gene expression in schizophrenia and its clinical implication. RNA-sequencing data from blood samples, magnetic resonance imaging scans and clinical assessments were collected from 43 patients with schizophrenia, together with data from 60 healthy controls. Using RNA-sequencing data we show alterations in both gene-level and isoform-level expression between patients with schizophrenia and healthy controls (1,836 genes and 1,104 isoforms, false-discover-rate-adjusted P < 0.05). We also show differential gene expression to be associated with schizophrenia-related genomic variations (based on genome-wide association study data on 76,755 patients and 243,649 controls; regression coefficient (β) = 0.211, P = 0.001) and differential brain gene expression (P < 0.001, hypergeometric test). Multivariate correlation analysis combining gene expression and brain imaging shows that transcriptional levels of differentially expressed genes significantly correlate with gray matter volume in the frontal and temporal regions of cognitive brain networks in patients with schizophrenia (P < 0.001, permutation test). Findings show a significant association between gene expression, gray matter volume and cognitive performance in patients (P = 0.031, permutation test). Our results suggest that genomic variants in individuals with schizophrenia are associated with alterations in the transcriptome, which plays a role in individual variations in macroscale brain structure and cognition, contributing to building a comprehensive, multi-omics marker for the assessment of schizophrenia. This study examining blood transcriptomic, neuroimaging and clinical data in people with schizophrenia shows a relationship between individual variations in gene transcription, brain structure and cognitive performance.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1239-1249"},"PeriodicalIF":0.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435929","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 : 2024-09-02DOI: 10.1038/s44220-024-00308-z
Leslie B. Hammer
{"title":"The role of workplace managers in protecting and promoting employee mental health","authors":"Leslie B. Hammer","doi":"10.1038/s44220-024-00308-z","DOIUrl":"10.1038/s44220-024-00308-z","url":null,"abstract":"","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 9","pages":"1004-1005"},"PeriodicalIF":0.0,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142160364","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 : 2024-08-26DOI: 10.1038/s44220-024-00299-x
Anjali Sankar, Simon C. Ziersen, Brice Ozenne, Vibeke H. Dam, Emily E. Beaman, Lars V. Kessing, Patrick. M. Fisher, Esben Budtz-Jørgensen, Gitte M. Knudsen, Kamilla W. Miskowiak, Vibe G. Frokjaer
The serotonin 2A receptor (5-HT2AR) and personality trait neuroticism are implicated in the pathophysiology of depression and represent potential targets for prevention and treatment. Here we evaluate whether 5-HT2AR and neuroticism in healthy individuals are related to the risk of developing a future depressive episode by utilizing a large 5-HT2AR molecular-imaging cohort comprising 131 healthy individuals who underwent molecular brain imaging and neuroticism assessments and up to 19 years of data on future depression diagnosis from the Danish Registers. Using cause-specific Cox regression analysis, we found that neocortical 5-HT2AR binding coupled with the inward-directed facets of neuroticism elevated the risk of depression. The risk was greatest in individuals with both high 5-HT2AR binding and high neuroticism. Our data provide novel insights into the risk of depression and support the evaluation of clinical strategies that target 5-HT2AR, such as psychedelics, in conjunction with psychotherapy that addresses personality-based risk factors. In this study, the authors used molecular brain imaging and measures of neuroticism to identify that high 5-HT2AR binding and higher levels of neuroticism predicted an increased risk of developing depression up to 19 years after assessment.
{"title":"Neocortical serotonin 2A receptor binding, neuroticism and risk of developing depression in healthy individuals","authors":"Anjali Sankar, Simon C. Ziersen, Brice Ozenne, Vibeke H. Dam, Emily E. Beaman, Lars V. Kessing, Patrick. M. Fisher, Esben Budtz-Jørgensen, Gitte M. Knudsen, Kamilla W. Miskowiak, Vibe G. Frokjaer","doi":"10.1038/s44220-024-00299-x","DOIUrl":"10.1038/s44220-024-00299-x","url":null,"abstract":"The serotonin 2A receptor (5-HT2AR) and personality trait neuroticism are implicated in the pathophysiology of depression and represent potential targets for prevention and treatment. Here we evaluate whether 5-HT2AR and neuroticism in healthy individuals are related to the risk of developing a future depressive episode by utilizing a large 5-HT2AR molecular-imaging cohort comprising 131 healthy individuals who underwent molecular brain imaging and neuroticism assessments and up to 19 years of data on future depression diagnosis from the Danish Registers. Using cause-specific Cox regression analysis, we found that neocortical 5-HT2AR binding coupled with the inward-directed facets of neuroticism elevated the risk of depression. The risk was greatest in individuals with both high 5-HT2AR binding and high neuroticism. Our data provide novel insights into the risk of depression and support the evaluation of clinical strategies that target 5-HT2AR, such as psychedelics, in conjunction with psychotherapy that addresses personality-based risk factors. In this study, the authors used molecular brain imaging and measures of neuroticism to identify that high 5-HT2AR binding and higher levels of neuroticism predicted an increased risk of developing depression up to 19 years after assessment.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1231-1238"},"PeriodicalIF":0.0,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435927","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 : 2024-08-26DOI: 10.1038/s44220-024-00304-3
Natalia Gass
In this Q&A, we speak to Andrew Zalesky, professor at the University of Melbourne, a co-leader of the Systems Lab and awardee of the prestigious Rebecca L. Cooper Fellowship that provides US$1.35 million over 5 years to study brain networks in health and disease and develop high-tech psychiatric therapies based on brain stimulation. He also led the development of the Melbourne Subcortex Atlas and is recognized for the novel tools he has developed to analyze brain networks.
在本期问答中，我们采访了墨尔本大学教授安德鲁-扎列斯基（Andrew Zalesky），他是系统实验室（Systems Lab）的共同负责人，也是著名的丽贝卡-库珀奖学金（Rebecca L. Cooper Fellowship）的获得者，该奖学金将在5年内提供135万美元，用于研究健康和疾病中的大脑网络，以及开发基于脑刺激的高科技精神疗法。他还领导了墨尔本皮质下图谱的开发，并因其开发的分析大脑网络的新工具而获得认可。
{"title":"Mapping brain and body connections","authors":"Natalia Gass","doi":"10.1038/s44220-024-00304-3","DOIUrl":"10.1038/s44220-024-00304-3","url":null,"abstract":"In this Q&A, we speak to Andrew Zalesky, professor at the University of Melbourne, a co-leader of the Systems Lab and awardee of the prestigious Rebecca L. Cooper Fellowship that provides US$1.35 million over 5 years to study brain networks in health and disease and develop high-tech psychiatric therapies based on brain stimulation. He also led the development of the Melbourne Subcortex Atlas and is recognized for the novel tools he has developed to analyze brain networks.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 9","pages":"1006-1007"},"PeriodicalIF":0.0,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142160300","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}
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