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Hanson JL, Kahhalé I, Sen S. Integrating data science and neuroscience in developmental psychopathology: Formative examples and future directions. Dev Psychopathol 2024:1-8. [PMID: 38769837 DOI: 10.1017/s0954579424001056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
This commentary discusses opportunities for advancing the field of developmental psychopathology through the integration of data science and neuroscience approaches. We first review elements of our research program investigating how early life adversity shapes neurodevelopment and may convey risk for psychopathology. We then illustrate three ways that data science techniques (e.g., machine learning) can support developmental psychopathology research, such as by distinguishing between common and diverse developmental outcomes after stress exposure. Finally, we discuss logistical and conceptual refinements that may aid the field moving forward. Throughout the piece, we underscore the profound impact of Dr Dante Cicchetti, reflecting on how his work influenced our own, and gave rise to the field of developmental psychopathology.
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Affiliation(s)
- Jamie L Hanson
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
- Learning Research & Development Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Isabella Kahhalé
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
- Learning Research & Development Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Sriparna Sen
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
- Learning Research & Development Center, University of Pittsburgh, Pittsburgh, PA, USA
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Short AK, Weber R, Kamei N, Thai CW, Arora H, Mortazavi A, Stern HS, Glynn L, Baram TZ. Within-subject changes in methylome profile identify individual signatures of early-life adversity, with a potential to predict neuropsychiatric outcome. bioRxiv 2023:2023.12.16.571594. [PMID: 38187766 PMCID: PMC10769190 DOI: 10.1101/2023.12.16.571594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Background Adverse early-life experiences (ELA), including poverty, trauma and neglect, affect a majority of the world's children. Whereas the impact of ELA on cognitive and emotional health throughout the lifespan is well-established, it is not clear how distinct types of ELA influence child development, and there are no tools to predict for an individual child their vulnerability or resilience to the consequences of ELAs. Epigenetic markers including DNA-methylation profiles of peripheral cells may encode ELA and provide a predictive outcome marker. However, the rapid dynamic changes in DNA methylation in childhood and the inter-individual variance of the human genome pose barriers to identifying profiles predicting outcomes of ELA exposure. Here, we examined the relation of several dimensions of ELA to changes of DNA methylation, using a longitudinal within-subject design and a high threshold for methylation changes in the hope of mitigating the above challenges. Methods We analyzed DNA methylation in buccal swab samples collected twice for each of 110 infants: neonatally and at 12 months. We identified CpGs differentially methylated across time, calculated methylation changes for each child, and determined whether several indicators of ELA associated with changes of DNA methylation for individual infants. We then correlated select dimensions of ELA with methylation changes as well as with measures of executive function at age 5 years. We examined for sex differences, and derived a sex-dependent 'impact score' based on sites that most contributed to the methylation changes. Findings Setting a high threshold for methylation changes, we discovered that changes in methylation between two samples of an individual child reflected age-related trends towards augmented methylation, and also correlated with executive function years later. Among the tested factors and ELA dimensions, including income to needs ratios, maternal sensitivity, body mass index and sex, unpredictability of parental and household signals was the strongest predictor of executive function. In girls, an interaction was observed between a measure of high early-life unpredictability and methylation changes, in presaging executive function. Interpretation These findings establish longitudinal, within-subject changes in methylation profiles as a signature of some types of ELA in an individual child. Notably, such changes are detectable beyond the age-associated DNA methylation dynamics. Future studies are required to determine if the methylation profile changes identified here provide a predictive marker of vulnerabilities to poorer cognitive and emotional outcomes.
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Affiliation(s)
- Annabel K. Short
- Department of Anatomy and Neurobiology, University of California- Irvine, Irvine, CA 92697
- Departments of Pediatrics and Neurology, University of California-Irvine, Irvine, CA, 92697
- Brain Tumour Research Program, Telethon Kids Institute, Nedlands, WA, Australia, 6009 (current)
- Division of Paediatrics/Centre for Child Health Research, Medical School, University of Western Australia, Crawley, WA, Australia, 6009 (current)
| | - Ryan Weber
- Department of Developmental and Cell Biology, University of California-Irvine, Irvine, CA 92697
| | - Noriko Kamei
- Department of Anatomy and Neurobiology, University of California- Irvine, Irvine, CA 92697
| | - Christina Wilcox Thai
- Department of Developmental and Cell Biology, University of California-Irvine, Irvine, CA 92697
| | - Hina Arora
- Department of Statistics, University of California-Irvine, Irvine, CA, 92697
| | - Ali Mortazavi
- Department of Developmental and Cell Biology, University of California-Irvine, Irvine, CA 92697
| | - Hal S. Stern
- Department of Statistics, University of California-Irvine, Irvine, CA, 92697
| | - Laura Glynn
- Department of Psychology, Chapman University, Orange, CA, 92866
| | - Tallie Z. Baram
- Department of Anatomy and Neurobiology, University of California- Irvine, Irvine, CA 92697
- Departments of Pediatrics and Neurology, University of California-Irvine, Irvine, CA, 92697
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Hanson JL, Adkins DJ, Nacewicz BM, Barry KR. Impact of Socioeconomic Status on Amygdala and Hippocampus Subdivisions in Children and Adolescents. bioRxiv 2023:2023.03.10.532071. [PMID: 36993362 PMCID: PMC10054998 DOI: 10.1101/2023.03.10.532071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Socioeconomic status (SES) in childhood can impact behavioral and brain development. Past work has consistently focused on the amygdala and hippocampus, two brain areas critical for emotion and behavioral responding. While there are SES differences in amygdala and hippocampal volumes, there are many unanswered questions in this domain connected to neurobiological specificity, and for whom these effects may be more pronounced. We may be able to investigate some anatomical subdivisions of these brain areas, as well as if relations with SES vary by participant age and sex. No work to date has however completed these types of analyses. To overcome these limitations, here, we combined multiple, large neuroimaging datasets of children and adolescents with information about neurobiology and SES (N=2,765). We examined subdivisions of the amygdala and hippocampus and found multiple amygdala subdivisions, as well as the head of the hippocampus, were related to SES. Greater volumes in these areas were seen for higher-SES youth participants. Looking at age- and sex-specific subgroups, we tended to see stronger effects in older participants, for both boys and girls. Paralleling effects for the full sample, we see significant positive associations between SES and volumes for the accessory basal amygdala and head of the hippocampus. We more consistently found associations between SES and volumes of the hippocampus and amygdala in boys (compared to girls). We discuss these results in relation to conceptions of "sex-as-a-biological variable" and broad patterns of neurodevelopment across childhood and adolescence. These results fill in important gaps on the impact of SES on neurobiology critical for emotion, memory, and learning.
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Chevalier N, Lipina S, Scerif G, Segretin MS. Special issue on development of self-regulation, cognitive control, and executive function, Part II: Editorial note. Dev Sci 2022; 25:e13326. [PMID: 36112772 DOI: 10.1111/desc.13326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 09/14/2022] [Indexed: 01/12/2023]
Affiliation(s)
| | - Sebastián Lipina
- Unidad de Neurobiología Aplicada (UNA, CEMIC-CONICET), Instituto Universitario CEMIC, Buenos Aires, Argentina
| | - Gaia Scerif
- Experimental Psychology, University of Oxford, Oxford, UK
| | - M Soledad Segretin
- Unidad de Neurobiología Aplicada (UNA, CEMIC-CONICET), Instituto Universitario CEMIC, Buenos Aires, Argentina
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