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          <family>Thomas</family>
          <given>Michael</given>
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    <title>Simulation data for the paper &quot;Associations between socioeconomic status, cognition and brain structure: Evaluating potential causal pathways through mechanistic models of development&quot;</title>
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    <keywords>cognitive development, socioeconomic status, brain development, structural MRI, intelligence, heritability, artificial neural networks, intervention, cortical surface area, cortical thickness</keywords>
    <abstract>The collection contains simulated data from artificial neural network (ANNs) models investigating socio-economic-status (SES) linked environmental influences and genetic effects on the development of cognition and behaviour. The file &quot;Simulation code.docx&quot; includes c-shell scripts and simulator code for the ANNs.

There were three populations of ANNs trained, which differed according to how SES-linked environmental influences were implemented: Stimulation, Structure, Stimulation+structure. 

This archive comprises Excel files containing results and parameters for the three populations, each N=1000 individuals. Each population was given an intervention to close gaps in developmental outcomes. There are three further three &apos;intervention&apos; Excel files containing equivalent results for the populations following the early interventions.

Citation of paper:

Thomas, M. S. C. &amp; Coecke, S. (2023). Associations between socioeconomic status, cognition and brain structure: Evaluating potential causal pathways through mechanistic models of development. Cognitive Science, e13217. DOI: 10.1111/cogs.13217</abstract>
    <date>2022-12-06</date>
    <publisher>Birkbeck College, University of London</publisher>
    <id_number>10.18743/DATA.00000215</id_number>
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    <collection_method>The collection contains simulated data from artificial neural network (ANN) computational models investigating socio-economic-status (SES) linked environmental influences and genetic effects on the development of cognition and behaviour.</collection_method>
    <legal_ethical>Not applicable</legal_ethical>
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