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Understanding divergence: Placing developmental neuroscience in its dynamic context.
Astle, Duncan E; Bassett, Dani S; Viding, Essi.
Affiliation
  • Astle DE; Department of Psychiatry, University of Cambridge, United Kingdom; MRC Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom. Electronic address: Duncan.astle@mrc-cbu.cam.ac.uk.
  • Bassett DS; Departments of Bioengineering, Electrical & Systems Engineering, Physics & Astronomy, Neurology, and Psychiatry, University of Pennsylvania, United States; The Santa Fe Institute, United States.
  • Viding E; Psychology and Language Sciences, University College London, United Kingdom.
Neurosci Biobehav Rev ; 157: 105539, 2024 Feb.
Article de En | MEDLINE | ID: mdl-38211738
ABSTRACT
Neurodevelopment is not merely a process of brain maturation, but an adaptation to constraints unique to each individual and to the environments we co-create. However, our theoretical and methodological toolkits often ignore this reality. There is growing awareness that a shift is needed that allows us to study divergence of brain and behaviour across conventional categorical boundaries. However, we argue that in future our study of divergence must also incorporate the developmental dynamics that capture the emergence of those neurodevelopmental differences. This crucial step will require adjustments in study design and methodology. If our ultimate aim is to incorporate the developmental dynamics that capture how, and ultimately when, divergence takes place then we will need an analytic toolkit equal to these ambitions. We argue that the over reliance on group averages has been a conceptual dead-end with regard to the neurodevelopmental differences. This is in part because any individual differences and developmental dynamics are inevitably lost within the group average. Instead, analytic approaches which are themselves new, or simply newly applied within this context, may allow us to shift our theoretical and methodological frameworks from groups to individuals. Likewise, methods capable of modelling complex dynamic systems may allow us to understand the emergent dynamics only possible at the level of an interacting neural system.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Plan de recherche / Encéphale Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: Neurosci Biobehav Rev / Neurosci. biobehav. rev / Neuroscience and biobehavioral reviews Année: 2024 Type de document: Article Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Plan de recherche / Encéphale Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: Neurosci Biobehav Rev / Neurosci. biobehav. rev / Neuroscience and biobehavioral reviews Année: 2024 Type de document: Article Pays de publication: États-Unis d'Amérique