Pub Date : 2024-11-01DOI: 10.1038/s44220-024-00347-6
Adam Turnbull, Michelle C. Odden, Christine E. Gould, Ehsan Adeli, Robert M. Kaplan, Feng Vankee Lin
If designed with health equity in mind, digital non-pharmacological interventions (NPIs) represent a cost-effective, scalable means of reducing health disparities associated with age-related mental health disorders in older adults in the USA. However, disparities in technological access, literacy and effectiveness can limit the impact of these interventions in older adults from disadvantaged groups. We present a health-equity-promoting framework for the development of digital NPIs for age-related mental health disorders and provide an example from the literature that highlights how interventions can be targeted at specific groups to increase technological access, literacy and effectiveness to ensure that these interventions can meet their potential of reducing health disparities. Presenting a health-equity-promoting framework, this Perspective argues for considering access to technology, health literacy and effectiveness in digital non-pharmacological interventions for older adults.
{"title":"A health-equity framework for tailoring digital non-pharmacological interventions in aging","authors":"Adam Turnbull, Michelle C. Odden, Christine E. Gould, Ehsan Adeli, Robert M. Kaplan, Feng Vankee Lin","doi":"10.1038/s44220-024-00347-6","DOIUrl":"10.1038/s44220-024-00347-6","url":null,"abstract":"If designed with health equity in mind, digital non-pharmacological interventions (NPIs) represent a cost-effective, scalable means of reducing health disparities associated with age-related mental health disorders in older adults in the USA. However, disparities in technological access, literacy and effectiveness can limit the impact of these interventions in older adults from disadvantaged groups. We present a health-equity-promoting framework for the development of digital NPIs for age-related mental health disorders and provide an example from the literature that highlights how interventions can be targeted at specific groups to increase technological access, literacy and effectiveness to ensure that these interventions can meet their potential of reducing health disparities. Presenting a health-equity-promoting framework, this Perspective argues for considering access to technology, health literacy and effectiveness in digital non-pharmacological interventions for older adults.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1277-1284"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595729","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 : 2024-11-01DOI: 10.1038/s44220-024-00322-1
Charlotte Fraza, Ida E. Sønderby, Rune Boen, Yingjie Shi, Christian F. Beckmann, Andre F. Marquand
Copy number variations (CNVs) are genetic variants that can have a substantial influence on neurodevelopment, neuropsychiatric traits and morphometric brain changes, yet their impact at the individual level remains unknown. Common case–control approaches for analyzing CNVs suffer from limitations; they are unable to inform on individual variation between carriers and preclude the study of rarer variants due to their limited sample size. Here we aim to map individualized brain deviation scores in individuals with pathogenic CNVs. We used normative modeling to map neuroimaging features from several large neuroimaging datasets and applied these models to understand the neurobiological profile of CNV carriers in the UK Biobank cohort. We highlight the 1q21.1 distal deletion and duplication, as an example of our individual-level normative modeling–CNV approach. Next, we count the number of extreme deviations for each participant from the mean and centiles of variation from population reference norms, giving us a combined risk score per participant per imaging modality. We show a high degree of heterogeneity between pathogenic CNV carriers in their implicated brain regions. For example, the cerebellum, brainstem and pallidum show large negative deviations for specific 1q21.1 duplication carriers. For certain 1q21.1 deletion CNV carriers, the caudate and accumbens show notable positive deviations. Finally, we show that negative deviations from these models are correlated to cognitive function. This study marks a starting point in understanding the impact of pathogenic CNVs on brain phenotypes, underscoring the intricacies of these genetic variations at the individual level and providing a means to study the effects of rare CNVs in carrier individuals. Using normative modeling and focusing on individual differences, the authors explore the link between copy number variations, brain structure and cognitive abilities.
{"title":"Unraveling the link between CNVs, cognition and individual neuroimaging deviation scores from a population-based reference cohort","authors":"Charlotte Fraza, Ida E. Sønderby, Rune Boen, Yingjie Shi, Christian F. Beckmann, Andre F. Marquand","doi":"10.1038/s44220-024-00322-1","DOIUrl":"10.1038/s44220-024-00322-1","url":null,"abstract":"Copy number variations (CNVs) are genetic variants that can have a substantial influence on neurodevelopment, neuropsychiatric traits and morphometric brain changes, yet their impact at the individual level remains unknown. Common case–control approaches for analyzing CNVs suffer from limitations; they are unable to inform on individual variation between carriers and preclude the study of rarer variants due to their limited sample size. Here we aim to map individualized brain deviation scores in individuals with pathogenic CNVs. We used normative modeling to map neuroimaging features from several large neuroimaging datasets and applied these models to understand the neurobiological profile of CNV carriers in the UK Biobank cohort. We highlight the 1q21.1 distal deletion and duplication, as an example of our individual-level normative modeling–CNV approach. Next, we count the number of extreme deviations for each participant from the mean and centiles of variation from population reference norms, giving us a combined risk score per participant per imaging modality. We show a high degree of heterogeneity between pathogenic CNV carriers in their implicated brain regions. For example, the cerebellum, brainstem and pallidum show large negative deviations for specific 1q21.1 duplication carriers. For certain 1q21.1 deletion CNV carriers, the caudate and accumbens show notable positive deviations. Finally, we show that negative deviations from these models are correlated to cognitive function. This study marks a starting point in understanding the impact of pathogenic CNVs on brain phenotypes, underscoring the intricacies of these genetic variations at the individual level and providing a means to study the effects of rare CNVs in carrier individuals. Using normative modeling and focusing on individual differences, the authors explore the link between copy number variations, brain structure and cognitive abilities.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 12","pages":"1451-1463"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142778663","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 : 2024-11-01DOI: 10.1038/s44220-024-00337-8
Paola Buedo, Timothy Daly
Respect for autonomy is foundational to all types of clinical care, and receiving mental health care places people in a vulnerable situation that has a direct impact on their ability to live as they choose, making concerns about autonomy central. The classical understanding of personal autonomy, which still influences medical guidelines, is based on an individualistic framework and is inadequate for ethical mental health care. The goal of this Comment is to articulate why the relational autonomy model, developed in feminist bioethics, is a necessary approach for the mental health field.
{"title":"Strengthening autonomy in mental health care through a relational approach","authors":"Paola Buedo, Timothy Daly","doi":"10.1038/s44220-024-00337-8","DOIUrl":"10.1038/s44220-024-00337-8","url":null,"abstract":"Respect for autonomy is foundational to all types of clinical care, and receiving mental health care places people in a vulnerable situation that has a direct impact on their ability to live as they choose, making concerns about autonomy central. The classical understanding of personal autonomy, which still influences medical guidelines, is based on an individualistic framework and is inadequate for ethical mental health care. The goal of this Comment is to articulate why the relational autonomy model, developed in feminist bioethics, is a necessary approach for the mental health field.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1271-1272"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595755","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 : 2024-10-31DOI: 10.1038/s44220-024-00326-x
Francis Vergunst, Rachel Williamson, Alessandro Massazza, Helen L. Berry, Miranda Olff
Climate change is driving a suite of stressors that could increase the global mental health burden. In this Perspective we consider three mental health frameworks to evaluate this burden. The pathogenic framework focuses on symptom management in the presence or absence of mental disorders. The salutogenic framework emphasizes factors related to psychological wellbeing such as personal strengths, resilience and socio-environmental resources. The third approach—the dual-continuum or ‘complete state’ framework—considers mental disorders and psychological wellbeing simultaneously. Drawing on the cross-disciplinary literature, we find that the dual-continuum framework is a practical and empirically valid approach to evaluate climate-related impacts on mental health. This is because mental disorders and reduced wellbeing, though related, are conceptually and empirically distinct, and encompass different climate-related antecedents and psychosocial endpoints. Both are necessary to evaluate the full burden of climate change. In this Perspective, the authors present a framework for evaluating the burden of climate change to mental health that considers both mental disorders and psychological wellbeing.
{"title":"A dual-continuum framework to evaluate climate change impacts on mental health","authors":"Francis Vergunst, Rachel Williamson, Alessandro Massazza, Helen L. Berry, Miranda Olff","doi":"10.1038/s44220-024-00326-x","DOIUrl":"10.1038/s44220-024-00326-x","url":null,"abstract":"Climate change is driving a suite of stressors that could increase the global mental health burden. In this Perspective we consider three mental health frameworks to evaluate this burden. The pathogenic framework focuses on symptom management in the presence or absence of mental disorders. The salutogenic framework emphasizes factors related to psychological wellbeing such as personal strengths, resilience and socio-environmental resources. The third approach—the dual-continuum or ‘complete state’ framework—considers mental disorders and psychological wellbeing simultaneously. Drawing on the cross-disciplinary literature, we find that the dual-continuum framework is a practical and empirically valid approach to evaluate climate-related impacts on mental health. This is because mental disorders and reduced wellbeing, though related, are conceptually and empirically distinct, and encompass different climate-related antecedents and psychosocial endpoints. Both are necessary to evaluate the full burden of climate change. In this Perspective, the authors present a framework for evaluating the burden of climate change to mental health that considers both mental disorders and psychological wellbeing.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1318-1326"},"PeriodicalIF":0.0,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595699","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 : 2024-10-30DOI: 10.1038/s44220-024-00333-y
Gökhan Aydogan, Christian C. Ruff
The tendency to engage in risky behavior relates to genetic predispositions and brain structure, but the molecular pathways linking genes to neuroanatomical changes remain elusive. A recent study reveals how specific gene expression patterns shape brain structures associated with risk-taking, suggesting a mechanistic pathway from genes to maladaptive behavior.
{"title":"New insights from gene expression patterns on the neurobiological basis of risky behavior","authors":"Gökhan Aydogan, Christian C. Ruff","doi":"10.1038/s44220-024-00333-y","DOIUrl":"10.1038/s44220-024-00333-y","url":null,"abstract":"The tendency to engage in risky behavior relates to genetic predispositions and brain structure, but the molecular pathways linking genes to neuroanatomical changes remain elusive. A recent study reveals how specific gene expression patterns shape brain structures associated with risk-taking, suggesting a mechanistic pathway from genes to maladaptive behavior.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1273-1274"},"PeriodicalIF":0.0,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595674","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 : 2024-10-30DOI: 10.1038/s44220-024-00318-x
Ran Goldblatt, Nathalie Holz, Garrett W. Tate, Kari Sherman, Selamawit Ghebremicael, Soumitra S. Bhuyan, Yazan A. Al-Ajlouni, Sara Santillanes, Ghermay Araya, Shermaine Abad, Megan M. Herting, Wesley K. Thompson, Bishal Thapaliya, Ram Sapkota, Jiayuan Xu, Jingyu Liu, The environMENTAL consortium, Gunter Schumann, Vince D. Calhoun
Although numerous studies over the past decade have highlighted the influence of environmental factors on mental health, globally applicable data on physical surroundings such as land cover and urbanicity are still limited. The urban environment is complex and composed of many interacting factors. To understand how urban living affects mental health, simultaneous measures of multiple environmental factors need to be related to symptoms of mental illness, while considering the underlying brain structure and function. So far, most studies have assessed individual urban environmental factors, such as greenness, in isolation and related them to individual symptoms of mental illness. We have refined the satellite-based ‘Urban Satellite’ (UrbanSat) measures, consisting of 11 satellite-data-derived environmental indicators, and linked them through residential addresses with participants of the Adolescent Brain Cognitive Development (ABCD) Study. The ABCD Study is the largest ongoing longitudinal and observational study exploring brain development and child health, involving 11,800 children, assessed at 9–16 years of age, from 21 sites across the USA. Here we describe linking of the ABCD Study data with UrbanSat variables, including each subject’s residential address at their baseline visit, including land cover and land use, nighttime lights and population characteristics. We also highlight and discuss important links of the satellite-data variables to the default mode network clustering coefficient and cognition. This comprehensive dataset provides an important tool for advancing neurobehavioral research on urbanicity during the critical developmental periods of childhood and adolescence. In this Perspective, the authors present a model of assessing urban environmental factors’ impact on mental health by using UrbanSat measures and data from adolescents in the ABCD Study.
{"title":"Linking neuroimaging and mental health data from the ABCD Study to UrbanSat measurements of macro environmental factors","authors":"Ran Goldblatt, Nathalie Holz, Garrett W. Tate, Kari Sherman, Selamawit Ghebremicael, Soumitra S. Bhuyan, Yazan A. Al-Ajlouni, Sara Santillanes, Ghermay Araya, Shermaine Abad, Megan M. Herting, Wesley K. Thompson, Bishal Thapaliya, Ram Sapkota, Jiayuan Xu, Jingyu Liu, The environMENTAL consortium, Gunter Schumann, Vince D. Calhoun","doi":"10.1038/s44220-024-00318-x","DOIUrl":"10.1038/s44220-024-00318-x","url":null,"abstract":"Although numerous studies over the past decade have highlighted the influence of environmental factors on mental health, globally applicable data on physical surroundings such as land cover and urbanicity are still limited. The urban environment is complex and composed of many interacting factors. To understand how urban living affects mental health, simultaneous measures of multiple environmental factors need to be related to symptoms of mental illness, while considering the underlying brain structure and function. So far, most studies have assessed individual urban environmental factors, such as greenness, in isolation and related them to individual symptoms of mental illness. We have refined the satellite-based ‘Urban Satellite’ (UrbanSat) measures, consisting of 11 satellite-data-derived environmental indicators, and linked them through residential addresses with participants of the Adolescent Brain Cognitive Development (ABCD) Study. The ABCD Study is the largest ongoing longitudinal and observational study exploring brain development and child health, involving 11,800 children, assessed at 9–16 years of age, from 21 sites across the USA. Here we describe linking of the ABCD Study data with UrbanSat variables, including each subject’s residential address at their baseline visit, including land cover and land use, nighttime lights and population characteristics. We also highlight and discuss important links of the satellite-data variables to the default mode network clustering coefficient and cognition. This comprehensive dataset provides an important tool for advancing neurobehavioral research on urbanicity during the critical developmental periods of childhood and adolescence. In this Perspective, the authors present a model of assessing urban environmental factors’ impact on mental health by using UrbanSat measures and data from adolescents in the ABCD Study.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1285-1297"},"PeriodicalIF":0.0,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595743","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 : 2024-10-28DOI: 10.1038/s44220-024-00339-6
Sandra Baez, Laura Castro-Aldrete, Gabrielle B. Britton, Agustin Ibañez, Antonella Santuccione-Chadha
Gender inequality substantially impacts society, disproportionately disadvantaging women, especially in the global south. This inequality correlates with brain health outcomes for women, including a higher risk of cognitive decline and dementia. Here we highlight how sex-linked biology and gender disparities affect women’s brain health in the global south through various pathways, such as a differential exposomes, health behaviors and gender biases in research and healthcare systems. Alzheimer’s disease and other brain health conditions exemplify how sex-specific risk factors and gender-related health barriers interact to influence brain health. We advocate for incorporating sex/gender considerations in research, policy and clinical practice to improve brain health interventions in the global south. Additionally, we propose using the patient and public involvement framework to effectively tailor health strategies that address these factors. This Perspective discusses how gender disparities affect women’s brain health in the global south and proposes strategies to improve brain health outcomes by incorporating sex and gender considerations in research, policy and clinical practice and using the patient and public involvement framework.
{"title":"Enhancing brain health in the global south through a sex and gender lens","authors":"Sandra Baez, Laura Castro-Aldrete, Gabrielle B. Britton, Agustin Ibañez, Antonella Santuccione-Chadha","doi":"10.1038/s44220-024-00339-6","DOIUrl":"10.1038/s44220-024-00339-6","url":null,"abstract":"Gender inequality substantially impacts society, disproportionately disadvantaging women, especially in the global south. This inequality correlates with brain health outcomes for women, including a higher risk of cognitive decline and dementia. Here we highlight how sex-linked biology and gender disparities affect women’s brain health in the global south through various pathways, such as a differential exposomes, health behaviors and gender biases in research and healthcare systems. Alzheimer’s disease and other brain health conditions exemplify how sex-specific risk factors and gender-related health barriers interact to influence brain health. We advocate for incorporating sex/gender considerations in research, policy and clinical practice to improve brain health interventions in the global south. Additionally, we propose using the patient and public involvement framework to effectively tailor health strategies that address these factors. This Perspective discusses how gender disparities affect women’s brain health in the global south and proposes strategies to improve brain health outcomes by incorporating sex and gender considerations in research, policy and clinical practice and using the patient and public involvement framework.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1308-1317"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595728","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 : 2024-10-28DOI: 10.1038/s44220-024-00343-w
Shawn A. Rhoads, Xiaosi Gu, Joseph M. Barnby
Social factors have an outsized role in the progression and treatment of psychiatric conditions, but existing computational models often neglect social context. We propose that integrating social features into computational frameworks will shed light into the complexity of mental health, and provide guidelines for model design.
{"title":"Advancing computational psychiatry through a social lens","authors":"Shawn A. Rhoads, Xiaosi Gu, Joseph M. Barnby","doi":"10.1038/s44220-024-00343-w","DOIUrl":"10.1038/s44220-024-00343-w","url":null,"abstract":"Social factors have an outsized role in the progression and treatment of psychiatric conditions, but existing computational models often neglect social context. We propose that integrating social features into computational frameworks will shed light into the complexity of mental health, and provide guidelines for model design.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1268-1270"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595731","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 : 2024-10-28DOI: 10.1038/s44220-024-00338-7
Sarah E. Chang, Dylan E. Hughes, Jinhan Zhu, Mahnoor Hyat, Sullivan D. Salone, Zachary T. Goodman, Joshua L. Roffman, Nicole R. Karcher, Leanna M. Hernandez, Jennifer K. Forsyth, Carrie E. Bearden
Attention problems are among the earliest precursors of schizophrenia. In this longitudinal cohort study, we examine relationships between cognitive and neuropsychiatric polygenic scores (PGSs), psychosis-spectrum symptoms and attention-related phenotypes in adolescence (ABCD; n = 11,855; mean baseline age 9.93 ± 0.6). Across three biennial visits, greater attentional variability and altered functional connectivity were associated with severity of psychotic-like experiences (PLEs). In European-ancestry youth, neuropsychiatric and cognitive PGSs were associated with greater PLE severity (R2 = 0.026–0.035) and greater attentional variability (R2 = 0.100–0.109). Notably, the effect of broad neurodevelopmental PGS on PLEs weakened over time, whereas schizophrenia PGS did not. Attentional variability partially mediated relationships between multiple PGSs and PLEs, explaining 4–16% of these associations. Finally, PGSs parsed by developmental coexpression modules were significantly associated with PLE severity, though effect sizes were larger for genome-wide PGSs. Findings implicate broad neurodevelopmental liability in the pathophysiology of psychosis-spectrum symptomatology in adolescence; attentional variability may link risk variants to symptoms. Using data from the Adolescent Brain Cognitive Development Study, the authors find an association between neuropsychiatric and cognitive polygenic scores and psychotic-like experience severity, and reveal a mediating role of attentional variability.
{"title":"Attention-mediated genetic influences on psychotic symptomatology in adolescence","authors":"Sarah E. Chang, Dylan E. Hughes, Jinhan Zhu, Mahnoor Hyat, Sullivan D. Salone, Zachary T. Goodman, Joshua L. Roffman, Nicole R. Karcher, Leanna M. Hernandez, Jennifer K. Forsyth, Carrie E. Bearden","doi":"10.1038/s44220-024-00338-7","DOIUrl":"10.1038/s44220-024-00338-7","url":null,"abstract":"Attention problems are among the earliest precursors of schizophrenia. In this longitudinal cohort study, we examine relationships between cognitive and neuropsychiatric polygenic scores (PGSs), psychosis-spectrum symptoms and attention-related phenotypes in adolescence (ABCD; n = 11,855; mean baseline age 9.93 ± 0.6). Across three biennial visits, greater attentional variability and altered functional connectivity were associated with severity of psychotic-like experiences (PLEs). In European-ancestry youth, neuropsychiatric and cognitive PGSs were associated with greater PLE severity (R2 = 0.026–0.035) and greater attentional variability (R2 = 0.100–0.109). Notably, the effect of broad neurodevelopmental PGS on PLEs weakened over time, whereas schizophrenia PGS did not. Attentional variability partially mediated relationships between multiple PGSs and PLEs, explaining 4–16% of these associations. Finally, PGSs parsed by developmental coexpression modules were significantly associated with PLE severity, though effect sizes were larger for genome-wide PGSs. Findings implicate broad neurodevelopmental liability in the pathophysiology of psychosis-spectrum symptomatology in adolescence; attentional variability may link risk variants to symptoms. Using data from the Adolescent Brain Cognitive Development Study, the authors find an association between neuropsychiatric and cognitive polygenic scores and psychotic-like experience severity, and reveal a mediating role of attentional variability.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 12","pages":"1518-1531"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142778609","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 : 2024-10-25DOI: 10.1038/s44220-024-00357-4
Dirk H. M. Pelt, Philippe C. Habets, Christiaan H. Vinkers, Lannie Ligthart, Catharina E. M. van Beijsterveldt, René Pool, Meike Bartels
{"title":"Author Correction: Building machine learning prediction models for well-being using predictors from the exposome and genome in a population cohort","authors":"Dirk H. M. Pelt, Philippe C. Habets, Christiaan H. Vinkers, Lannie Ligthart, Catharina E. M. van Beijsterveldt, René Pool, Meike Bartels","doi":"10.1038/s44220-024-00357-4","DOIUrl":"10.1038/s44220-024-00357-4","url":null,"abstract":"","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 12","pages":"1543-1543"},"PeriodicalIF":0.0,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-024-00357-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142778608","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}
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