Pub Date : 2025-10-08DOI: 10.1038/s44220-025-00507-2
Wen-Jing Yan, Ali Yadollahpour, Zhiyi Chen
{"title":"The hidden crisis in open science: when officially ‘open’ mental health databanks close doors","authors":"Wen-Jing Yan, Ali Yadollahpour, Zhiyi Chen","doi":"10.1038/s44220-025-00507-2","DOIUrl":"10.1038/s44220-025-00507-2","url":null,"abstract":"","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 11","pages":"1293-1295"},"PeriodicalIF":8.7,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145450104","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 : 2025-10-08DOI: 10.1038/s44220-025-00509-0
Daisy R. Singla, Tara S. Berenbaum, Richard K. Silver, Simone N. Vigod, Siying Li, Aditya Anand, Sandeep Shelly, Alex Kiss, Andrea S. Lawson, Lucy C. Barker, Steven D. Hollon, Bradley N. Gaynes, Paula Ravitz, Crystal E. Schiller, Samantha Meltzer-Brody, Vikram Patel
Post-traumatic stress (PTS) is highly comorbid with depression but understudied among perinatal populations. Here, using Scaling Up Maternal Mental healthcare by Increasing access to Treatment Trial ( NCT04153864 ) data on trauma, we examined (1) the prevalence and correlates of baseline PTS symptoms among perinatal patients with comorbid depressive symptoms, (2) the potential impact of an eight-session behavioral activation (BA) on PTS symptoms at 3 months post-randomization and (3) the potential moderators of PTS symptoms. We included 1,102 participants who received ≥1 BA session and completed the six-item Post-Traumatic Stress Disorder Checklist Checklist (PCL-6). At baseline, 69.78% of the patients met the clinical thresholds for PTS symptom criteria (PCL-6 ≥14) and relevant correlates included socioeconomic (lower income and education, and higher unemployment) and clinical (greater psychotropic medication use and symptoms of depressive and anxiety) variables. The PTS scores decreased significantly from baseline to 3 months (PCL-6 decreased from 18.17 to 14.68, P < 0.0001) and were moderated by baseline PTS severity, and not by baseline depressive symptoms, race/ethnicity or perinatal period. Thus, BA may be an effective treatment option for comorbid PTS symptoms, regardless of sociodemographic characteristics. Singla et al. report the secondary analysis of the Scaling Up Maternal Mental healthcare by Increasing access to Treatment (SUMMIT) trial.
{"title":"Treating comorbid post-traumatic stress and depression in perinatal populations: findings from a pragmatic randomized controlled trial","authors":"Daisy R. Singla, Tara S. Berenbaum, Richard K. Silver, Simone N. Vigod, Siying Li, Aditya Anand, Sandeep Shelly, Alex Kiss, Andrea S. Lawson, Lucy C. Barker, Steven D. Hollon, Bradley N. Gaynes, Paula Ravitz, Crystal E. Schiller, Samantha Meltzer-Brody, Vikram Patel","doi":"10.1038/s44220-025-00509-0","DOIUrl":"10.1038/s44220-025-00509-0","url":null,"abstract":"Post-traumatic stress (PTS) is highly comorbid with depression but understudied among perinatal populations. Here, using Scaling Up Maternal Mental healthcare by Increasing access to Treatment Trial ( NCT04153864 ) data on trauma, we examined (1) the prevalence and correlates of baseline PTS symptoms among perinatal patients with comorbid depressive symptoms, (2) the potential impact of an eight-session behavioral activation (BA) on PTS symptoms at 3 months post-randomization and (3) the potential moderators of PTS symptoms. We included 1,102 participants who received ≥1 BA session and completed the six-item Post-Traumatic Stress Disorder Checklist Checklist (PCL-6). At baseline, 69.78% of the patients met the clinical thresholds for PTS symptom criteria (PCL-6 ≥14) and relevant correlates included socioeconomic (lower income and education, and higher unemployment) and clinical (greater psychotropic medication use and symptoms of depressive and anxiety) variables. The PTS scores decreased significantly from baseline to 3 months (PCL-6 decreased from 18.17 to 14.68, P < 0.0001) and were moderated by baseline PTS severity, and not by baseline depressive symptoms, race/ethnicity or perinatal period. Thus, BA may be an effective treatment option for comorbid PTS symptoms, regardless of sociodemographic characteristics. Singla et al. report the secondary analysis of the Scaling Up Maternal Mental healthcare by Increasing access to Treatment (SUMMIT) trial.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 11","pages":"1342-1351"},"PeriodicalIF":8.7,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145450101","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}
Attention deficit hyperactivity disorder (ADHD) is characterized by dysconnectivity among large-scale brain functional networks. How these changes manifest across different spatial scales remains unclear. We investigated ADHD-related functional connectivity alterations at global, region-to-region and network scales using resting-state functional MRI data from 454 children and adolescents with ADHD and typically developing controls from three cohorts. At the global level, individuals with ADHD exhibited hypoconnectivity in default-mode network (DMN) hubs and visual areas. Region‑to‑region analysis revealed hypoconnectivity within the DMN, between DMN hubs and visual regions, and between nodes of salience (SAN) and frontoparietal networks and auditory/sensorimotor areas, alongside hyperconnectivity linking DMN with SAN, frontoparietal and auditory regions. At the network level, SAN-auditory/sensorimotor hypoconnectivity persisted whereas DMN alterations were no longer significant. These results were independent of age and sex but influenced by medication status and comorbidity. Collectively, our findings indicate a scale-dependent imbalanced interplay between higher-order cognitive and lower-order sensory networks in ADHD. In this study, the authors investigate functional connectivity alterations across global, region-to-region and network scales in children and adolescents with ADHD. They highlight an imbalance in interaction between higher-order cognitive and lower-order sensory brain networks.
{"title":"Multiscale functional connectivity reveals imbalanced interplay between higher- and lower-order brain networks in ADHD","authors":"Yingxue Gao, Zilin Zhou, Weijie Bao, Ying Chen, Xinyue Hu, Hailong Li, Lianqing Zhang, Qiyong Gong, Xiaoqi Huang","doi":"10.1038/s44220-025-00512-5","DOIUrl":"10.1038/s44220-025-00512-5","url":null,"abstract":"Attention deficit hyperactivity disorder (ADHD) is characterized by dysconnectivity among large-scale brain functional networks. How these changes manifest across different spatial scales remains unclear. We investigated ADHD-related functional connectivity alterations at global, region-to-region and network scales using resting-state functional MRI data from 454 children and adolescents with ADHD and typically developing controls from three cohorts. At the global level, individuals with ADHD exhibited hypoconnectivity in default-mode network (DMN) hubs and visual areas. Region‑to‑region analysis revealed hypoconnectivity within the DMN, between DMN hubs and visual regions, and between nodes of salience (SAN) and frontoparietal networks and auditory/sensorimotor areas, alongside hyperconnectivity linking DMN with SAN, frontoparietal and auditory regions. At the network level, SAN-auditory/sensorimotor hypoconnectivity persisted whereas DMN alterations were no longer significant. These results were independent of age and sex but influenced by medication status and comorbidity. Collectively, our findings indicate a scale-dependent imbalanced interplay between higher-order cognitive and lower-order sensory networks in ADHD. In this study, the authors investigate functional connectivity alterations across global, region-to-region and network scales in children and adolescents with ADHD. They highlight an imbalance in interaction between higher-order cognitive and lower-order sensory brain networks.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 11","pages":"1331-1341"},"PeriodicalIF":8.7,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145450105","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 : 2025-10-08DOI: 10.1038/s44220-025-00526-z
Digital twins — dynamically updated digital models of an individual’s physical, cognitive and/or emotional state — represent an intriguing and potentially transformative pathway for mental health and brain health. These precision tools promise to deliver insights that are continuous rather than episodic, personalized rather than generic and preventive rather than reactive.
{"title":"Delivering on the promise of digital twins","authors":"","doi":"10.1038/s44220-025-00526-z","DOIUrl":"10.1038/s44220-025-00526-z","url":null,"abstract":"Digital twins — dynamically updated digital models of an individual’s physical, cognitive and/or emotional state — represent an intriguing and potentially transformative pathway for mental health and brain health. These precision tools promise to deliver insights that are continuous rather than episodic, personalized rather than generic and preventive rather than reactive.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 10","pages":"1101-1102"},"PeriodicalIF":8.7,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-025-00526-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145243233","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 : 2025-10-01DOI: 10.1038/s44220-025-00511-6
Ioannis Bakoyiannis
In this Q&A, we speak to Panos Zanos, assistant professor of neuropharmacology at the Department of Psychology, University of Cyprus, director of the Translational Neuropharmacology Lab and president of the Cyprus Neuroscience Society . His research examines the effects of ketamine and its metabolites in treating brain pathologies, including depression and substance use disorders.
{"title":"Harnessing the properties of ketamine to advance brain pathology treatments","authors":"Ioannis Bakoyiannis","doi":"10.1038/s44220-025-00511-6","DOIUrl":"10.1038/s44220-025-00511-6","url":null,"abstract":"In this Q&A, we speak to Panos Zanos, assistant professor of neuropharmacology at the Department of Psychology, University of Cyprus, director of the Translational Neuropharmacology Lab and president of the Cyprus Neuroscience Society . His research examines the effects of ketamine and its metabolites in treating brain pathologies, including depression and substance use disorders.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 10","pages":"1103-1105"},"PeriodicalIF":8.7,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145243241","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 : 2025-09-30DOI: 10.1038/s44220-025-00508-1
Divyangana Rakesh, Dimitris I. Tsomokos, Teresa Vargas, Kate E. Pickett, Vikram Patel
Income inequality, a structural property of societies characterized by the unequal distribution of resources, is associated with adverse mental health outcomes during adolescence, which is a sensitive period of neurodevelopment. While previous research has explored the impact of individual-level socioeconomic factors on brain structure and function, the neurobiological mechanisms linking structural inequality to mental health disparities remain poorly understood. Here, using data from the Adolescent Brain Cognitive Development study, we investigated the associations between state-level income inequality, indexed by the Gini coefficient, and brain structure and functional connectivity in over 8,000 children aged 9–10 years (from 17 states in the USA). We analyzed whole-brain cortical thickness and surface area, and volume and region-specific measures of thickness and surface area, as well as functional connectivity within and between 12 brain networks, controlling for several individual-level and state-level confounders (for example, income, educational attainment, state-level incarceration rate and Medicaid expansion status). Mediation analyses were conducted to test whether brain metrics linked income inequality to mental health outcomes at 6-month and 18-month follow-ups. Higher income inequality was associated with reduced cortical thickness and surface area across widespread brain regions, as well as altered functional connectivity between multiple brain networks. Lower cortical volume and surface area, as well as connectivity between the default mode and dorsal attention networks, mediated the association between higher structural income inequality and greater mental health problems. Our findings reveal income inequality as a unique societal-level determinant of neurodevelopment and mental health, independent of individual socioeconomic status. Policies aimed at reducing inequality and strengthening social cohesion to mitigate its neurobiological and mental health impacts are needed. Rakesh et al. used data from the Adolescent Brain Cognitive Development cohort study to evaluate the relationship between state-level income inequality, brain structure and function, and mental health in young people.
{"title":"Macroeconomic income inequality, brain structure and function, and mental health","authors":"Divyangana Rakesh, Dimitris I. Tsomokos, Teresa Vargas, Kate E. Pickett, Vikram Patel","doi":"10.1038/s44220-025-00508-1","DOIUrl":"10.1038/s44220-025-00508-1","url":null,"abstract":"Income inequality, a structural property of societies characterized by the unequal distribution of resources, is associated with adverse mental health outcomes during adolescence, which is a sensitive period of neurodevelopment. While previous research has explored the impact of individual-level socioeconomic factors on brain structure and function, the neurobiological mechanisms linking structural inequality to mental health disparities remain poorly understood. Here, using data from the Adolescent Brain Cognitive Development study, we investigated the associations between state-level income inequality, indexed by the Gini coefficient, and brain structure and functional connectivity in over 8,000 children aged 9–10 years (from 17 states in the USA). We analyzed whole-brain cortical thickness and surface area, and volume and region-specific measures of thickness and surface area, as well as functional connectivity within and between 12 brain networks, controlling for several individual-level and state-level confounders (for example, income, educational attainment, state-level incarceration rate and Medicaid expansion status). Mediation analyses were conducted to test whether brain metrics linked income inequality to mental health outcomes at 6-month and 18-month follow-ups. Higher income inequality was associated with reduced cortical thickness and surface area across widespread brain regions, as well as altered functional connectivity between multiple brain networks. Lower cortical volume and surface area, as well as connectivity between the default mode and dorsal attention networks, mediated the association between higher structural income inequality and greater mental health problems. Our findings reveal income inequality as a unique societal-level determinant of neurodevelopment and mental health, independent of individual socioeconomic status. Policies aimed at reducing inequality and strengthening social cohesion to mitigate its neurobiological and mental health impacts are needed. Rakesh et al. used data from the Adolescent Brain Cognitive Development cohort study to evaluate the relationship between state-level income inequality, brain structure and function, and mental health in young people.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 11","pages":"1318-1330"},"PeriodicalIF":8.7,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-025-00508-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145450106","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 : 2025-09-29DOI: 10.1038/s44220-025-00505-4
Ronald C. Kessler, Amy M. Millikan-Bell, Emily R. Edwards, Sarah M. Gildea, Andrew J. King, Howard Liu, Maria V. Petukhova, Nancy A. Sampson, Hannah N. Ziobrowski, James R. Wagner, Murray B. Stein, Robert J. Ursano
Military personnel are routinely involved in pandemic relief efforts, placing them at risk of increased exposure to pandemic-related stressors. Although ample research suggests that exposure to pandemic-related stressors contributed to decrements in mental health among civilians during the COVID-19 pandemic, limited work has examined whether these patterns were also salient in military populations. Here we report data on The Army Study to Assess Risk and Resilience in Servicemembers (STARRS) Longitudinal Study, which screened for 30-day prevalence of major depressive episode, generalized anxiety disorder, post-traumatic stress disorder and panic attack among 10,206 US Army soldiers and veterans before (2018–2019) and then again during (2020–2022) the COVID-19 pandemic. Statistically significant increases were found in prevalence, with relative risk (RR) comparable to that observed in civilian samples (RR 1.28–1.40). The greatest increases were observed among women, Black and Hispanic individuals, those of lower socioeconomic status and Regular Army soldiers compared with reservists and those separated from service. Exposures to pandemic-related stressors, although associated with significantly increased mental health difficulty (RR 1.06–1.17), did not explain associations of sociodemographics and Army career characteristics with difficulty RR. No significant interactions were found between pandemic-related stressors and either baseline difficulty prevalence, sociodemographics or Army career characteristics predicting difficulty RR. Results suggest that military personnel may experience pandemic-related declines in mental health similar to those observed in civilian populations, with the largest changes occurring among individuals with greater socioeconomic vulnerability and/or higher exposure to pandemic-related stress. Findings emphasize the importance of ensuring accessibility to appropriate support for military personnel during pandemic conditions. Military personnel face increased exposure to pandemic-related stressors, yet their mental health impacts remain underexplored. Here, the authors analyze data from the STARRS Longitudinal Study, revealing significant increases in mental health issues among soldiers during COVID-19, particularly among vulnerable groups, underscoring the need for targeted support during pandemics.
{"title":"Effects of pandemic-related stressors on anxiety and mood difficulty during versus before the COVID-19 pandemic in US Army soldiers and veterans","authors":"Ronald C. Kessler, Amy M. Millikan-Bell, Emily R. Edwards, Sarah M. Gildea, Andrew J. King, Howard Liu, Maria V. Petukhova, Nancy A. Sampson, Hannah N. Ziobrowski, James R. Wagner, Murray B. Stein, Robert J. Ursano","doi":"10.1038/s44220-025-00505-4","DOIUrl":"10.1038/s44220-025-00505-4","url":null,"abstract":"Military personnel are routinely involved in pandemic relief efforts, placing them at risk of increased exposure to pandemic-related stressors. Although ample research suggests that exposure to pandemic-related stressors contributed to decrements in mental health among civilians during the COVID-19 pandemic, limited work has examined whether these patterns were also salient in military populations. Here we report data on The Army Study to Assess Risk and Resilience in Servicemembers (STARRS) Longitudinal Study, which screened for 30-day prevalence of major depressive episode, generalized anxiety disorder, post-traumatic stress disorder and panic attack among 10,206 US Army soldiers and veterans before (2018–2019) and then again during (2020–2022) the COVID-19 pandemic. Statistically significant increases were found in prevalence, with relative risk (RR) comparable to that observed in civilian samples (RR 1.28–1.40). The greatest increases were observed among women, Black and Hispanic individuals, those of lower socioeconomic status and Regular Army soldiers compared with reservists and those separated from service. Exposures to pandemic-related stressors, although associated with significantly increased mental health difficulty (RR 1.06–1.17), did not explain associations of sociodemographics and Army career characteristics with difficulty RR. No significant interactions were found between pandemic-related stressors and either baseline difficulty prevalence, sociodemographics or Army career characteristics predicting difficulty RR. Results suggest that military personnel may experience pandemic-related declines in mental health similar to those observed in civilian populations, with the largest changes occurring among individuals with greater socioeconomic vulnerability and/or higher exposure to pandemic-related stress. Findings emphasize the importance of ensuring accessibility to appropriate support for military personnel during pandemic conditions. Military personnel face increased exposure to pandemic-related stressors, yet their mental health impacts remain underexplored. Here, the authors analyze data from the STARRS Longitudinal Study, revealing significant increases in mental health issues among soldiers during COVID-19, particularly among vulnerable groups, underscoring the need for targeted support during pandemics.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 10","pages":"1191-1201"},"PeriodicalIF":8.7,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145234458","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 : 2025-09-23DOI: 10.1038/s44220-025-00503-6
Adriano Mollica, Robin F. H. Cash, Carl Froilan D. Leochico, Peter Giacobbe, Isabella J. Sewell, Andrew Zalesky, Jennifer S. Rabin, Maged Goubran, Simon J. Graham, Benjamin Davidson, Fa-Hsuan Lin, Nir Lipsman, Clement Hamani, Matthew J. Burke, Sean M. Nestor
Persisting symptoms after concussion (PSaC) represent a complex and poorly understood neuropsychiatric phenomenon with limited treatment options. Neural network dysfunction has been associated with PSaC, and neuromodulation, particularly repetitive transcranial magnetic stimulation, may be a promising intervention. However, neuroimaging findings have been inconsistent, limiting understanding of underlying network dysfunction. We aimed to identify a core neural network associated with PSaC and explore whether this network could yield candidate cortical targets for neuromodulation at the individual level. We hypothesized that differences in network disruption would be evident between individuals with high versus low symptom burden in PSaC. Here we show that a convergent multi-analytic approach combining symptom–activation maps generated from existing fMRI datasets, systematic review of resting-state fMRI studies of PSaC, and network-based meta-analysis of coordinates derived from these studies co-localize to the salience network in high symptom burden PSaC. Using Human Connectome Project data, we mapped this network to cortical regions that could serve as individualized targets for neuromodulation. This aligns with current clinical models of PSaC and may present a new direction for network-based therapy. Persisting symptoms after concussion (PSaC) present a complex neuropsychiatric challenge with limited treatment options due to inconsistent neuroimaging findings. Here the authors employ a multi-analytic approach to identify the salience network as a core dysfunction hub in PSaC, proposing specific cortical regions as potential targets for personalized neuromodulation therapies.
{"title":"The network-based underpinnings of persisting symptoms after concussion: a multimodal neuroimaging meta-analysis","authors":"Adriano Mollica, Robin F. H. Cash, Carl Froilan D. Leochico, Peter Giacobbe, Isabella J. Sewell, Andrew Zalesky, Jennifer S. Rabin, Maged Goubran, Simon J. Graham, Benjamin Davidson, Fa-Hsuan Lin, Nir Lipsman, Clement Hamani, Matthew J. Burke, Sean M. Nestor","doi":"10.1038/s44220-025-00503-6","DOIUrl":"10.1038/s44220-025-00503-6","url":null,"abstract":"Persisting symptoms after concussion (PSaC) represent a complex and poorly understood neuropsychiatric phenomenon with limited treatment options. Neural network dysfunction has been associated with PSaC, and neuromodulation, particularly repetitive transcranial magnetic stimulation, may be a promising intervention. However, neuroimaging findings have been inconsistent, limiting understanding of underlying network dysfunction. We aimed to identify a core neural network associated with PSaC and explore whether this network could yield candidate cortical targets for neuromodulation at the individual level. We hypothesized that differences in network disruption would be evident between individuals with high versus low symptom burden in PSaC. Here we show that a convergent multi-analytic approach combining symptom–activation maps generated from existing fMRI datasets, systematic review of resting-state fMRI studies of PSaC, and network-based meta-analysis of coordinates derived from these studies co-localize to the salience network in high symptom burden PSaC. Using Human Connectome Project data, we mapped this network to cortical regions that could serve as individualized targets for neuromodulation. This aligns with current clinical models of PSaC and may present a new direction for network-based therapy. Persisting symptoms after concussion (PSaC) present a complex neuropsychiatric challenge with limited treatment options due to inconsistent neuroimaging findings. Here the authors employ a multi-analytic approach to identify the salience network as a core dysfunction hub in PSaC, proposing specific cortical regions as potential targets for personalized neuromodulation therapies.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 10","pages":"1276-1290"},"PeriodicalIF":8.7,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-025-00503-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145243227","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 : 2025-09-23DOI: 10.1038/s44220-025-00513-4
Our analyses of multimodal data from brain magnetic resonance imaging and body dual-energy X-ray absorptiometry in adults reveal that fat accumulation in specific body regions contributes to differential neural vulnerabilities and cognitive aging, independently of body mass index.
{"title":"Regional adiposity shapes neural system vulnerability in brain and cognitive aging","authors":"","doi":"10.1038/s44220-025-00513-4","DOIUrl":"10.1038/s44220-025-00513-4","url":null,"abstract":"Our analyses of multimodal data from brain magnetic resonance imaging and body dual-energy X-ray absorptiometry in adults reveal that fat accumulation in specific body regions contributes to differential neural vulnerabilities and cognitive aging, independently of body mass index.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 10","pages":"1114-1115"},"PeriodicalIF":8.7,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145243245","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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