Pub Date : 2024-10-04DOI: 10.1038/s44220-024-00325-y
Richard A. Bryant, Isabella A. Breukelaar, Thomas Williamson, Kim Felmingham, Leanne M. Williams, Mayuresh S. Korgaonkar
Although suicide risk is a major public health issue, attempts to understand the neural basis of suicidality have been limited by small sample sizes and a focus on specific psychiatric disorders. This sample comprised 579 participants, of whom 428 had a psychiatric disorder (depression, anxiety or stress-related disorder) and 151 were non-psychiatric controls. All participants underwent structured clinical interviews, including an assessment of suicidality in the past month, and completed a functional magnetic resonance imaging scan. There were 238 (41.1%) participants who met criteria for suicidality and 341 (58.9%) were non-suicidal. Task-derived functional connectivity was calculated for 436 brain regions, comprising 8 intrinsic connectivity networks. Participants who were suicidal had decreased connectivity in a network of 143 connections across 86 brain regions. This pattern was characterized primarily by decreased connectivity within the visual, somatomotor and salience networks, between these networks, and also with the default mode and limbic networks. By adopting a transdiagnostic approach with a very large sample of individuals with mood disorders, anxiety and stress and non-psychiatric participants, this study highlights the hypoconnectivity that characterizes suicidality and points to altered connectivity within and between key networks involved in emotional, sensory and cognitive processes that are implicated in suicidal risk. In this study, the authors use a transdiagnostic approach to assess functional connectivity in individuals with and without a psychiatric diagnosis, showing hypoconnectivity in the default mode, visual and limbic systems associated with suicidality.
{"title":"The neural connectome of suicidality in adults with mood and anxiety disorders","authors":"Richard A. Bryant, Isabella A. Breukelaar, Thomas Williamson, Kim Felmingham, Leanne M. Williams, Mayuresh S. Korgaonkar","doi":"10.1038/s44220-024-00325-y","DOIUrl":"10.1038/s44220-024-00325-y","url":null,"abstract":"Although suicide risk is a major public health issue, attempts to understand the neural basis of suicidality have been limited by small sample sizes and a focus on specific psychiatric disorders. This sample comprised 579 participants, of whom 428 had a psychiatric disorder (depression, anxiety or stress-related disorder) and 151 were non-psychiatric controls. All participants underwent structured clinical interviews, including an assessment of suicidality in the past month, and completed a functional magnetic resonance imaging scan. There were 238 (41.1%) participants who met criteria for suicidality and 341 (58.9%) were non-suicidal. Task-derived functional connectivity was calculated for 436 brain regions, comprising 8 intrinsic connectivity networks. Participants who were suicidal had decreased connectivity in a network of 143 connections across 86 brain regions. This pattern was characterized primarily by decreased connectivity within the visual, somatomotor and salience networks, between these networks, and also with the default mode and limbic networks. By adopting a transdiagnostic approach with a very large sample of individuals with mood disorders, anxiety and stress and non-psychiatric participants, this study highlights the hypoconnectivity that characterizes suicidality and points to altered connectivity within and between key networks involved in emotional, sensory and cognitive processes that are implicated in suicidal risk. In this study, the authors use a transdiagnostic approach to assess functional connectivity in individuals with and without a psychiatric diagnosis, showing hypoconnectivity in the default mode, visual and limbic systems associated with suicidality.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1342-1349"},"PeriodicalIF":0.0,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-024-00325-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595682","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 : 2024-10-03DOI: 10.1038/s44220-024-00324-z
Breanne E. Kearney, Ruth A. Lanius
Anecdotally, the difference between autobiographical and traumatic memory is clear; one is remembered, the other vividly relived. Further distinction can be drawn between past-centered traumatic recurrences and present-centered trauma-related intrusions. While some argue sensorimotor representations to be building blocks of all memory forms, traumatic memory seems to haunt in the form of unintegrated sensations and actions. This Perspective hypothesizes a neurobiological delineation between these memory forms, where traumatic memory is uniquely characterized by alterations to lower-level and primary sensorimotor processes. The proposed demarcation has implications for legal systems, which assume interrogations of autobiographical and traumatic memory can be methodologically identical. Clinically, first-line treatments for post-traumatic stress disorder have yet to explicitly address sensorimotor processes, where up to half of individuals are non-responsive and 20% drop out. We are left with urgent needs to consider sensorimotor fragmentation of traumatic memory and advance interventions that assimilate these fragments into a past-contextualized autobiography. In this Perspective, the authors review the literature regarding the differences between autobiographical and traumatic memory and introduce sensorimotor-based implications for understanding and treating post-traumatic stress disorder.
{"title":"Why reliving is not remembering and the unique neurobiological representation of traumatic memory","authors":"Breanne E. Kearney, Ruth A. Lanius","doi":"10.1038/s44220-024-00324-z","DOIUrl":"10.1038/s44220-024-00324-z","url":null,"abstract":"Anecdotally, the difference between autobiographical and traumatic memory is clear; one is remembered, the other vividly relived. Further distinction can be drawn between past-centered traumatic recurrences and present-centered trauma-related intrusions. While some argue sensorimotor representations to be building blocks of all memory forms, traumatic memory seems to haunt in the form of unintegrated sensations and actions. This Perspective hypothesizes a neurobiological delineation between these memory forms, where traumatic memory is uniquely characterized by alterations to lower-level and primary sensorimotor processes. The proposed demarcation has implications for legal systems, which assume interrogations of autobiographical and traumatic memory can be methodologically identical. Clinically, first-line treatments for post-traumatic stress disorder have yet to explicitly address sensorimotor processes, where up to half of individuals are non-responsive and 20% drop out. We are left with urgent needs to consider sensorimotor fragmentation of traumatic memory and advance interventions that assimilate these fragments into a past-contextualized autobiography. In this Perspective, the authors review the literature regarding the differences between autobiographical and traumatic memory and introduce sensorimotor-based implications for understanding and treating post-traumatic stress disorder.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1142-1151"},"PeriodicalIF":0.0,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435939","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 : 2024-10-01DOI: 10.1038/s44220-024-00315-0
Maja Neidhart, Rikka Kjelkenes, Karina Jansone, Barbora Rehák Bučková, Nathalie Holz, Frauke Nees, Henrik Walter, Gunter Schumann, Michael A. Rapp, Tobias Banaschewski, Emanuel Schwarz, Andre Marquand, on behalf of the environMENTAL consortium
This Comment presents a high-level protocol for data harmonization within large cohorts, in which it postulates four main steps including (1) expert review, (2) pre-statistical harmonization, (3) statistical harmonization, and (4) validation.
{"title":"A protocol for data harmonization in large cohorts","authors":"Maja Neidhart, Rikka Kjelkenes, Karina Jansone, Barbora Rehák Bučková, Nathalie Holz, Frauke Nees, Henrik Walter, Gunter Schumann, Michael A. Rapp, Tobias Banaschewski, Emanuel Schwarz, Andre Marquand, on behalf of the environMENTAL consortium","doi":"10.1038/s44220-024-00315-0","DOIUrl":"10.1038/s44220-024-00315-0","url":null,"abstract":"This Comment presents a high-level protocol for data harmonization within large cohorts, in which it postulates four main steps including (1) expert review, (2) pre-statistical harmonization, (3) statistical harmonization, and (4) validation.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1134-1137"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-024-00315-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435932","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 : 2024-10-01DOI: 10.1038/s44220-024-00316-z
Frauke Nees, Paul Renner, Nathalie E. Holz, Elli Polemiti, Sebastian Siehl, Sören Hese, Kerstin Schepanski, Gunter Schumann, on behalf of the environMENTAL consortium
This Comment explores new approaches to enrich large-scale population data, including incorporating macro-environmental and digital health measures.
本评论探讨了丰富大规模人口数据的新方法，包括纳入宏观环境和数字健康措施。
{"title":"Large-scale population data enrichment in mental health research","authors":"Frauke Nees, Paul Renner, Nathalie E. Holz, Elli Polemiti, Sebastian Siehl, Sören Hese, Kerstin Schepanski, Gunter Schumann, on behalf of the environMENTAL consortium","doi":"10.1038/s44220-024-00316-z","DOIUrl":"10.1038/s44220-024-00316-z","url":null,"abstract":"This Comment explores new approaches to enrich large-scale population data, including incorporating macro-environmental and digital health measures.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1124-1127"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-024-00316-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435934","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 : 2024-10-01DOI: 10.1038/s44220-024-00320-3
Bernd Carsten Stahl, George Ogoh, Gunter Schumann, Henrik Walter, On behalf of the environMENTAL consortium
The focus of much of contemporary research ethics is on compliance with established protocols. However, large data-driven neuroscience research raises new ethical concerns that have no agreed-upon solution. Here we reflect on these challenges and propose better integration of public and patient involvement in this evolving landscape.
{"title":"Rethinking ethics in interdisciplinary and big data-driven neuroscience projects","authors":"Bernd Carsten Stahl, George Ogoh, Gunter Schumann, Henrik Walter, On behalf of the environMENTAL consortium","doi":"10.1038/s44220-024-00320-3","DOIUrl":"10.1038/s44220-024-00320-3","url":null,"abstract":"The focus of much of contemporary research ethics is on compliance with established protocols. However, large data-driven neuroscience research raises new ethical concerns that have no agreed-upon solution. Here we reflect on these challenges and propose better integration of public and patient involvement in this evolving landscape.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1128-1130"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-024-00320-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435958","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 : 2024-10-01DOI: 10.1038/s44220-024-00317-y
Sylvane Desrivières, Abigail Miller, Carina M. Mathey, Xinyang Yu, Di Chen, Kofoworola Agunbiade, Stefanie Heilmann-Heimbach, Andreas J. Forstner, Gunter Schumann, Per Hoffmann, Markus M. Nöthen, on behalf of the environMENTAL consortium
Integrative analyses that incorporate different levels of ‘-omics’ data represent a powerful tool for deciphering the biological mechanisms that underlie environmental influences on mental health and disease. This Comment highlights various aspects of such multi-omics approaches, using the example of the EU-funded environMENTAL project.
{"title":"Multi-omics analyses of the environMENTAL project provide insights into mental health and disease","authors":"Sylvane Desrivières, Abigail Miller, Carina M. Mathey, Xinyang Yu, Di Chen, Kofoworola Agunbiade, Stefanie Heilmann-Heimbach, Andreas J. Forstner, Gunter Schumann, Per Hoffmann, Markus M. Nöthen, on behalf of the environMENTAL consortium","doi":"10.1038/s44220-024-00317-y","DOIUrl":"10.1038/s44220-024-00317-y","url":null,"abstract":"Integrative analyses that incorporate different levels of ‘-omics’ data represent a powerful tool for deciphering the biological mechanisms that underlie environmental influences on mental health and disease. This Comment highlights various aspects of such multi-omics approaches, using the example of the EU-funded environMENTAL project.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1131-1133"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44220-024-00317-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435959","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 : 2024-09-30DOI: 10.1038/s44220-024-00321-2
Luana Colloca, Maurizio Fava
Over the past decade there has been a surge in interest in placebo-controlled trials using non-classical 3,4-methylenedioxymethamphetamine (MDMA) and classical psychedelics such as psilocybin, lysergic acid diethylamide (LSD) and N,N-dimethyltryptamine (DMT) to treat neuropsychiatric disorders. However, the success and reliability of these trials depend on the design of the trials, the choice of control conditions, and the ability to blind both participants and researchers. When appropriate control conditions are lacking, it becomes difficult to disentangle placebo and expectation effects from medication effects. Here we explore the neurobiology of placebo and expectation effects, alongside the methodological considerations for selecting suitable control conditions in psychedelic trials. This includes examining the advantages and disadvantages of various control conditions and proposing new directions to enhance the validity of these trials and their regulatory science. By addressing these factors, we aim to improve the reliability of psychedelic research in uncovering the therapeutic benefits of psychedelics beyond placebo and expectation effects. To improve the reliability of research on the therapeutic benefits of psychedelics beyond placebo and expectation effects, the authors discuss the methodological considerations for selecting suitable control conditions in psychedelic trials and the neurobiology of placebo and expectation effects.
{"title":"What should constitute a control condition in psychedelic drug trials?","authors":"Luana Colloca, Maurizio Fava","doi":"10.1038/s44220-024-00321-2","DOIUrl":"10.1038/s44220-024-00321-2","url":null,"abstract":"Over the past decade there has been a surge in interest in placebo-controlled trials using non-classical 3,4-methylenedioxymethamphetamine (MDMA) and classical psychedelics such as psilocybin, lysergic acid diethylamide (LSD) and N,N-dimethyltryptamine (DMT) to treat neuropsychiatric disorders. However, the success and reliability of these trials depend on the design of the trials, the choice of control conditions, and the ability to blind both participants and researchers. When appropriate control conditions are lacking, it becomes difficult to disentangle placebo and expectation effects from medication effects. Here we explore the neurobiology of placebo and expectation effects, alongside the methodological considerations for selecting suitable control conditions in psychedelic trials. This includes examining the advantages and disadvantages of various control conditions and proposing new directions to enhance the validity of these trials and their regulatory science. By addressing these factors, we aim to improve the reliability of psychedelic research in uncovering the therapeutic benefits of psychedelics beyond placebo and expectation effects. To improve the reliability of research on the therapeutic benefits of psychedelics beyond placebo and expectation effects, the authors discuss the methodological considerations for selecting suitable control conditions in psychedelic trials and the neurobiology of placebo and expectation effects.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1152-1160"},"PeriodicalIF":0.0,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435960","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}
Major depressive disorder (MDD) is recognized as a severe mental illness with imbalanced interactions among brain networks. However, the detailed mechanisms of large-scale network dysfunction and their clinical implications are not fully understood. To explore the neurological basis of altered connectivity within the brain, the current case-control study aimed to examine large-scale connectivity coherence in MDD using resting-state functional magnetic resonance imaging data from 1,148 individuals with MDD and 1,079 healthy volunteers across nine research centers. Global brain connectivity (GBC) was estimated and compared between groups. Compared with healthy volunteers, individuals with MDD had decreased GBC in sensorimotor/visual networks and increased GBC mainly in default mode networks (DMNs) (voxel-level P < 0.001, cluster-level P < 0.05). These main findings were consistent across different clinical states of MDD, indicating their independence from clinical factors (P < 0.05, FDR-corrected). Further seed connectivity revealed that individuals with MDD had heightened connectivity between DMNs and primary sensory cortices, but reduced connectivity within primary sensory cortices (voxel-level P < 0.001, cluster-level P < 0.05). The findings suggest a network imbalance toward the DMNs at the expense of the sensorimotor/visual networks in individuals with MDD experiencing a depressive episode. These alterations, involving both higher-order cognitive systems and low-level sensory systems, could provide insights into understanding the multifaceted clinical and cognitive deficits observed in MDD. Using a large multisite dataset of people with major depressive disorder and healthy controls, the authors show global brain connectivity alterations in the sensorimotor, visual, and default mode networks.
{"title":"Dysfunction in sensorimotor and default mode networks in major depressive disorder with insights from global brain connectivity","authors":"Yajuan Zhang, Chu-Chung Huang, Jiajia Zhao, Yuchen Liu, Mingrui Xia, Xiaoqin Wang, Dongtao Wei, Yuan Chen, Bangshan Liu, Yanting Zheng, Yankun Wu, Taolin Chen, Yuqi Cheng, Xiufeng Xu, Qiyong Gong, Tianmei Si, Shijun Qiu, Jingliang Cheng, Yanqing Tang, Fei Wang, Jiang Qiu, Peng Xie, Lingjiang Li, Yong He, Ching-Po Lin, DIDA-Major Depressive Disorder Working Group, Chun-Yi Zac Lo","doi":"10.1038/s44220-024-00323-0","DOIUrl":"10.1038/s44220-024-00323-0","url":null,"abstract":"Major depressive disorder (MDD) is recognized as a severe mental illness with imbalanced interactions among brain networks. However, the detailed mechanisms of large-scale network dysfunction and their clinical implications are not fully understood. To explore the neurological basis of altered connectivity within the brain, the current case-control study aimed to examine large-scale connectivity coherence in MDD using resting-state functional magnetic resonance imaging data from 1,148 individuals with MDD and 1,079 healthy volunteers across nine research centers. Global brain connectivity (GBC) was estimated and compared between groups. Compared with healthy volunteers, individuals with MDD had decreased GBC in sensorimotor/visual networks and increased GBC mainly in default mode networks (DMNs) (voxel-level P < 0.001, cluster-level P < 0.05). These main findings were consistent across different clinical states of MDD, indicating their independence from clinical factors (P < 0.05, FDR-corrected). Further seed connectivity revealed that individuals with MDD had heightened connectivity between DMNs and primary sensory cortices, but reduced connectivity within primary sensory cortices (voxel-level P < 0.001, cluster-level P < 0.05). The findings suggest a network imbalance toward the DMNs at the expense of the sensorimotor/visual networks in individuals with MDD experiencing a depressive episode. These alterations, involving both higher-order cognitive systems and low-level sensory systems, could provide insights into understanding the multifaceted clinical and cognitive deficits observed in MDD. Using a large multisite dataset of people with major depressive disorder and healthy controls, the authors show global brain connectivity alterations in the sensorimotor, visual, and default mode networks.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 11","pages":"1371-1381"},"PeriodicalIF":0.0,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142595698","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 : 2024-09-25DOI: 10.1038/s44220-024-00307-0
Using multimodal brain imaging and organ-specific physiological markers from more than 18,000 adult participants of the UK Biobank database, this study reveals integrated pathways that explain the interplay between brain, body, environment and lifestyle, and their collective influence on mental health outcomes.
{"title":"Determining pathways that link brain, body, lifestyle and mental health","authors":"","doi":"10.1038/s44220-024-00307-0","DOIUrl":"10.1038/s44220-024-00307-0","url":null,"abstract":"Using multimodal brain imaging and organ-specific physiological markers from more than 18,000 adult participants of the UK Biobank database, this study reveals integrated pathways that explain the interplay between brain, body, environment and lifestyle, and their collective influence on mental health outcomes.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1140-1141"},"PeriodicalIF":0.0,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435956","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 : 2024-09-23DOI: 10.1038/s44220-024-00327-w
Analyses of functional MRI brain images of young people with depression revealed that altered brain connectivity associated with this disorder is circumscribed to specific networks and hub regions, including the default mode and attentional networks. The magnitude of these connectivity changes is a reliable predictor of depression symptom severity.
{"title":"Mapping connectivity and network alterations in youth depression by functional brain imaging","authors":"","doi":"10.1038/s44220-024-00327-w","DOIUrl":"10.1038/s44220-024-00327-w","url":null,"abstract":"Analyses of functional MRI brain images of young people with depression revealed that altered brain connectivity associated with this disorder is circumscribed to specific networks and hub regions, including the default mode and attentional networks. The magnitude of these connectivity changes is a reliable predictor of depression symptom severity.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"2 10","pages":"1138-1139"},"PeriodicalIF":0.0,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142435949","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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