{"title":"Integrating data science and neuroscience in developmental psychopathology: Formative examples and future directions.","authors":"Jamie L Hanson, Isabella Kahhalé, Sriparna Sen","doi":"10.1017/S0954579424001056","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":11265,"journal":{"name":"Development and Psychopathology","volume":" ","pages":"2165-2172"},"PeriodicalIF":3.1000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11579249/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Development and Psychopathology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1017/S0954579424001056","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/21 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"PSYCHOLOGY, DEVELOPMENTAL","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍：
This multidisciplinary journal is devoted to the publication of original, empirical, theoretical and review papers which address the interrelationship of normal and pathological development in adults and children. It is intended to serve and integrate the field of developmental psychopathology which strives to understand patterns of adaptation and maladaptation throughout the lifespan. This journal is of interest to psychologists, psychiatrists, social scientists, neuroscientists, paediatricians, and researchers.
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