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Kretzer S, Lawrence AJ, Pollard R, Ma X, Chen PJ, Amasi-Hartoonian N, Pariante C, Vallée C, Meaney M, Dazzan P. The Dynamic Interplay between Puberty and Structural Brain Development as a Predictor of Mental Health Difficulties in Adolescence: a systematic review. Biol Psychiatry 2024:S0006-3223(24)01392-1. [PMID: 38925264 DOI: 10.1016/j.biopsych.2024.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 06/16/2024] [Accepted: 06/19/2024] [Indexed: 06/28/2024]
Abstract
Puberty is a time of intense reorganization of brain structure and a high-risk period for the onset of mental health problems, with variations in pubertal timing and tempo intensifying this risk. We conducted two systematic reviews of papers published up to 1st February 2024 focusing on (1) the role of brain structure in the relationship between puberty and mental health, and (2) precision psychiatry research evaluating the utility of puberty in making individualized predictions of mental health in young people. The first review provides inconsistent evidence on whether and how pubertal and psychopathological processes could interact in relation to brain development. While most studies found an association between early puberty and mental health difficulties in adolescents, evidence on whether brain structure mediates this relationship is mixed. The pituitary gland was found to be associated with mental health status during this time, possibly through its central role in regulating puberty and its function in the hypothalamic- pituitary-gonadal (HPG) and hypothalamic-pituitary-adrenal (HPA) axes. In the second review, the design of studies that have explored puberty in predictive models did not allow for a quantification of its predictive power. However, when puberty was evaluated through physically observable characteristics rather than hormonal measures, it was more commonly identified as a predictor of depression, anxiety, and suicidality in adolescence. Social processes might be more relevant than biological ones in the link between puberty and mental health problems, and represent an important target for educational strategies.
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Affiliation(s)
- Svenja Kretzer
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK; Agency for Science, Technology and Research (A*STAR), Singapore.
| | - Andrew J Lawrence
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Rebecca Pollard
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Xuemei Ma
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Pei Jung Chen
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK; Department of Psychiatry, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Nare Amasi-Hartoonian
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK; National Institute for Health Research (NIHR) Mental Health Biomedical Research
| | - Carmine Pariante
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Corentin Vallée
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Michael Meaney
- Agency for Science, Technology and Research (A*STAR), Singapore; McGill University, Canada
| | - Paola Dazzan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK; National Institute for Health Research (NIHR) Mental Health Biomedical Research.
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Holt-Gosselin B, Keding TJ, Rodrigues K, Rueter A, Hendrickson TJ, Perrone A, Byington N, Houghton A, Miranda-Dominguez O, Feczko E, Fair DA, Joormann J, Gee DG. Familial risk for depression moderates neural circuitry in healthy preadolescents to predict adolescent depression symptoms in the Adolescent Brain Cognitive Development (ABCD) Study. Dev Cogn Neurosci 2024; 68:101400. [PMID: 38870601 DOI: 10.1016/j.dcn.2024.101400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/09/2024] [Accepted: 05/31/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND There is an imminent need to identify neural markers during preadolescence that are linked to developing depression during adolescence, especially among youth at elevated familial risk. However, longitudinal studies remain scarce and exhibit mixed findings. Here we aimed to elucidate functional connectivity (FC) patterns among preadolescents that interact with familial depression risk to predict depression two years later. METHODS 9-10 year-olds in the Adolescent Brain Cognitive Development (ABCD) Study were classified as healthy (i.e., no lifetime psychiatric diagnoses) at high familial risk for depression (HR; n=559) or at low familial risk for psychopathology (LR; n=1203). Whole-brain seed-to-voxel resting-state FC patterns with the amygdala, putamen, nucleus accumbens, and caudate were calculated. Multi-level, mixed-effects regression analyses were conducted to test whether FC at ages 9-10 interacted with familial risk to predict depression symptoms at ages 11-12. RESULTS HR youth demonstrated stronger associations between preadolescent FC and adolescent depression symptoms (ps<0.001) as compared to LR youth (ps>0.001), primarily among amygdala/striatal FC with visual and sensory/somatomotor networks. CONCLUSIONS Preadolescent amygdala and striatal FC may be useful biomarkers of adolescent-onset depression, particularly for youth with family histories of depression. This research may point to neurobiologically-informed approaches to prevention and intervention for depression in adolescents.
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Affiliation(s)
- Bailey Holt-Gosselin
- Department of Psychology, Yale University, 100 College Street, New Haven, CT 06510, United States; Interdepartmental Neuroscience Graduate Program, Yale University School of Medicine, New Haven, CT 06520, United States
| | - Taylor J Keding
- Department of Psychology, Yale University, 100 College Street, New Haven, CT 06510, United States; Child Study Center, Yale School of Medicine, New Haven, CT 06511, United States
| | - Kathryn Rodrigues
- Department of Psychology, Yale University, 100 College Street, New Haven, CT 06510, United States
| | - Amanda Rueter
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States
| | - Timothy J Hendrickson
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States
| | - Anders Perrone
- Masonic Institute for the Developing Brain, Minneapolis, MN 55414, United States
| | - Nora Byington
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States
| | - Audrey Houghton
- Masonic Institute for the Developing Brain, Minneapolis, MN 55414, United States
| | - Oscar Miranda-Dominguez
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States; Masonic Institute for the Developing Brain, Minneapolis, MN 55414, United States
| | - Eric Feczko
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States; Masonic Institute for the Developing Brain, Minneapolis, MN 55414, United States
| | - Damien A Fair
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States; Masonic Institute for the Developing Brain, Minneapolis, MN 55414, United States
| | - Jutta Joormann
- Department of Psychology, Yale University, 100 College Street, New Haven, CT 06510, United States
| | - Dylan G Gee
- Department of Psychology, Yale University, 100 College Street, New Haven, CT 06510, United States.
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Gracia-Tabuenca Z, Barbeau EB, Xia Y, Chai X. Predicting depression risk in early adolescence via multimodal brain imaging. Neuroimage Clin 2024; 42:103604. [PMID: 38603863 PMCID: PMC11015491 DOI: 10.1016/j.nicl.2024.103604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 03/06/2024] [Accepted: 04/07/2024] [Indexed: 04/13/2024]
Abstract
Depression is an incapacitating psychiatric disorder with increased risk through adolescence. Among other factors, children with family history of depression have significantly higher risk of developing depression. Early identification of pre-adolescent children who are at risk of depression is crucial for early intervention and prevention. In this study, we used a large longitudinal sample from the Adolescent Brain Cognitive Development (ABCD) Study (2658 participants after imaging quality control, between 9-10 years at baseline), we applied advanced machine learning methods to predict depression risk at the two-year follow-up from the baseline assessment, using a set of comprehensive multimodal neuroimaging features derived from structural MRI, diffusion tensor imaging, and task and rest functional MRI. Prediction performance underwent a rigorous cross-validation method of leave-one-site-out. Our results demonstrate that all brain features had prediction scores significantly better than expected by chance, with brain features from rest-fMRI showing the best classification performance in the high-risk group of participants with parental history of depression (N = 625). Specifically, rest-fMRI features, which came from functional connectomes, showed significantly better classification performance than other brain features. This finding highlights the key role of the interacting elements of the connectome in capturing more individual variability in psychopathology compared to measures of single brain regions. Our study contributes to the effort of identifying biological risks of depression in early adolescence in population-based samples.
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Affiliation(s)
- Zeus Gracia-Tabuenca
- Department of Statistical Methods, University of Zaragoza, Zaragoza, Spain; Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.
| | - Elise B Barbeau
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Yu Xia
- Department of Bioengineering, McGill University, Montreal, Quebec, Canada
| | - Xiaoqian Chai
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
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Zhang R, Schwandt M, Vines L, Volkow ND. Changes in rest-activity rhythms in adolescents as they age: associations with brain changes and behavior in the ABCD study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.19.24303825. [PMID: 38562879 PMCID: PMC10984078 DOI: 10.1101/2024.03.19.24303825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Background Adolescents with disrupted rest-activity rhythms (RAR) including shorter sleep duration, later sleep timing and low physical activity levels have higher risk for mental and behavioral problems. However, it remains unclear whether the same associations can be observed for within-subject changes in RAR. Methods Our longitudinal investigation on RAR used Fitbit data from the Adolescent Brain Cognitive Development (ABCD) Study at the 2-year (FL2: aged 10-13 years) and 4-year follow-up (FL4: aged 13-16 years). 963 youths had good-quality Fitbit data at both time points. In this study we examined changes in RAR from FL2 to FL4, their environmental and demographic contributors as well as brain and behavioral correlates. Results From FL2 to FL4, adolescents showed decreases in sleep duration and physical activity as well as delayed sleep timing (Cohen's d .44-.75). The contributions of environmental and demographic factors to RAR changes were greatest to sleep timing (explained 10% variance) and least to sleep duration (explained 1% variance). Delays in sleep timing had stronger correlations with behavioral problems including greater impulsivity and poor academic performance than reductions in sleep duration or physical activity. Additionally, the various brain measures differed in their sensitivity to RAR changes. Reductions in sleep duration were associated with decreased brain functional connectivity between subcortical regions and sensorimotor and cingulo-opercular networks and with enhanced functional connectivity between sensorimotor, visual and auditory networks. Delays in sleep timing were mainly associated with grey matter changes in subcortical regions. Conclusions The current findings corroborate the role of sleep and physical activity in adolescent's brain neurodevelopment and behavior problems. RAR might serve as biomarkers for monitoring behavioral problems in adolescents and to serve as potential therapeutic targets for mental disorders.
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Affiliation(s)
- Rui Zhang
- National Institute on Alcohol Abuse and Alcoholism, Laboratory of Neuroimaging, National Institutes of Health, Bethesda, MD 20892-1013, USA
| | - Melanie Schwandt
- National Institute on Alcohol Abuse and Alcoholism, Laboratory of Neuroimaging, National Institutes of Health, Bethesda, MD 20892-1013, USA
| | - Leah Vines
- National Institute on Alcohol Abuse and Alcoholism, Laboratory of Neuroimaging, National Institutes of Health, Bethesda, MD 20892-1013, USA
| | - Nora D. Volkow
- National Institute on Alcohol Abuse and Alcoholism, Laboratory of Neuroimaging, National Institutes of Health, Bethesda, MD 20892-1013, USA
- National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD 20892-1013, USA
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Holt-Gosselin B, Keding TJ, Poulin R, Brieant A, Rueter A, Hendrickson TJ, Perrone A, Byington N, Houghton A, Miranda-Dominguez O, Feczko E, Fair DA, Joormann J, Gee DG. Neural Circuit Markers of Familial Risk for Depression Among Healthy Youths in the Adolescent Brain Cognitive Development Study. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:185-195. [PMID: 37182734 PMCID: PMC10640659 DOI: 10.1016/j.bpsc.2023.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 05/01/2023] [Accepted: 05/02/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND Family history of depression is a robust predictor of early-onset depression, which may confer risk through alterations in neural circuits that have been implicated in reward and emotional processing. These alterations may be evident in youths who are at familial risk for depression but who do not currently have depression. However, the identification of robust and replicable findings has been hindered by few studies and small sample sizes. In the current study, we sought to identify functional connectivity (FC) patterns associated with familial risk for depression. METHODS Participants included healthy (i.e., no lifetime psychiatric diagnoses) youths at high familial risk for depression (HR) (n = 754; at least one parent with a history of depression) and healthy youths at low familial risk for psychiatric problems (LR) (n = 1745; no parental history of psychopathology) who were 9 to 10 years of age and from the Adolescent Brain Cognitive Development (ABCD) Study sample. We conducted whole-brain seed-to-voxel analyses to examine group differences in resting-state FC with the amygdala, caudate, nucleus accumbens, and putamen. We hypothesized that HR youths would exhibit global amygdala hyperconnectivity and striatal hypoconnectivity patterns primarily driven by maternal risk. RESULTS HR youths exhibited weaker caudate-angular gyrus FC than LR youths (α = 0.04, Cohen's d = 0.17). HR youths with a history of maternal depression specifically exhibited weaker caudate-angular gyrus FC (α = 0.03, Cohen's d = 0.19) as well as weaker caudate-dorsolateral prefrontal cortex FC (α = 0.04, Cohen's d = 0.21) than LR youths. CONCLUSIONS Weaker striatal connectivity may be related to heightened familial risk for depression, primarily driven by maternal history. Identifying brain-based markers of depression risk in youths can inform approaches to improving early detection, diagnosis, and treatment.
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Affiliation(s)
- Bailey Holt-Gosselin
- Department of Psychology, Yale University, New Haven, Connecticut; Interdepartmental Neuroscience Graduate Program, Yale University School of Medicine, New Haven, Connecticut
| | - Taylor J Keding
- Department of Psychology, Yale University, New Haven, Connecticut; Child Study Center, Yale School of Medicine, New Haven, Connecticut
| | - Rhayna Poulin
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Alexis Brieant
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Amanda Rueter
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Timothy J Hendrickson
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Anders Perrone
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Nora Byington
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Audrey Houghton
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | | | - Eric Feczko
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Damien A Fair
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Jutta Joormann
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Dylan G Gee
- Department of Psychology, Yale University, New Haven, Connecticut.
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de Lacy N, Ramshaw MJ. Predicting new onset thought disorder in early adolescence with optimized deep learning implicates environmental-putamen interactions. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.23.23297438. [PMID: 37961085 PMCID: PMC10635181 DOI: 10.1101/2023.10.23.23297438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Background Thought disorder (TD) is a sensitive and specific marker of risk for schizophrenia onset. Specifying factors that predict TD onset in adolescence is important to early identification of youth at risk. However, there is a paucity of studies prospectively predicting TD onset in unstratified youth populations. Study Design We used deep learning optimized with artificial intelligence (AI) to analyze 5,777 multimodal features obtained at 9-10 years from youth and their parents in the ABCD study, including 5,014 neural metrics, to prospectively predict new onset TD cases at 11-12 years. The design was replicated for all prevailing TD cases at 11-12 years. Study Results Optimizing performance with AI, we were able to achieve 92% accuracy and F1 and 0.96 AUROC in prospectively predicting the onset of TD in early adolescence. Structural differences in the left putamen, sleep disturbances and the level of parental externalizing behaviors were specific predictors of new onset TD at 11-12 yrs, interacting with low youth prosociality, the total parental behavioral problems and parent-child conflict and whether the youth had already come to clinical attention. More important predictors showed greater inter-individual variability. Conclusions This study provides robust person-level, multivariable signatures of early adolescent TD which suggest that structural differences in the left putamen in late childhood are a candidate biomarker that interacts with psychosocial stressors to increase risk for TD onset. Our work also suggests that interventions to promote improved sleep and lessen parent-child psychosocial stressors are worthy of further exploration to modulate risk for TD onset.
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Affiliation(s)
- Nina de Lacy
- Huntsman Mental Health Institute, Salt Lake City, UT 84103
- Department of Psychiatry, University of Utah, Salt Lake City, UT 84103
| | - Michael J. Ramshaw
- Huntsman Mental Health Institute, Salt Lake City, UT 84103
- Department of Psychiatry, University of Utah, Salt Lake City, UT 84103
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Ho TC. Predicting Depression Risk in Adolescents From Multimodal Data: Current Evidence and Future Directions. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:346-348. [PMID: 35396020 DOI: 10.1016/j.bpsc.2021.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Accepted: 12/15/2021] [Indexed: 06/14/2023]
Affiliation(s)
- Tiffany C Ho
- Department of Psychiatry and Behavioral Sciences and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California.
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