Integrating data science and neuroscience in developmental psychopathology: Formative examples and future directions.
Dev Psychopathol
; : 1-8, 2024 May 21.
Article
en En
| MEDLINE
| ID: mdl-38769837
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.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Dev Psychopathol
Asunto de la revista:
PSICOLOGIA
/
PSIQUIATRIA
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos