Cortical surface area variations within the dorsolateral prefrontal cortex are better predictors of future cognitive performance than fl uid ability and working memory

  1. Francisco J. Román 1
  2. Susanne M. Jaeggi 2
  3. Kenia Martínez 1
  4. Jesús Privado 3
  5. Lindsay B. Lewis 4
  6. Chi-Hua Chen 2
  7. Sergio Escorial 3
  8. William S. Kremen 2
  9. Sherif Karama 4
  10. Roberto Colom 1
  1. 1 Universidad Autónoma de Madrid
    info

    Universidad Autónoma de Madrid

    Madrid, España

    ROR https://ror.org/01cby8j38

  2. 2 University of California System
    info

    University of California System

    Oakland, Estados Unidos

    ROR https://ror.org/00pjdza24

  3. 3 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

  4. 4 McGill University, Montreal
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Journal:
Psicothema

ISSN: 0214-9915,  1886-144X

Year of publication: 2019

Volume: 31

Issue: 3

Pages: 229-238

Type: Article

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More publications in: Psicothema

Abstract

Background: Are cognitive and biological variables useful for predicting future behavioral outcomes? Method: In two independent groups, we measured a set of cognitive (fluid and crystallized intelligence, working memory, and attention control) and biological (cortical thickness and cortical surface area) variables on two occasions separated by six months, to predict behavioral outcomes of interest (performance on an adaptive version of the n-back task) measured twelve and eighteen months later. We followed three stages: discovery, validation, and generalization. In the discovery stage, cognitive/biological variables and the behavioral outcome of interest were assessed in a group of individuals (in-sample). In the validation stage, the cognitive and biological variables were related with a parallel version of the behavioral outcome assessed several months later. In the generalization stage, the validation findings were tested in an independent group of individuals (out-of-sample). Results: The key finding revealed that cortical surface area variations within the right dorsolateral prefrontal cortex predict the behavioral outcome of interest in both groups, whereas the cognitive variables failed to show reliable predictive validity. Conclusions: Individual differences in biological variables might predict future behavioral outcomes better than cognitive variables concurrently correlated with these behavioral outcomes

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Funding information

This project was supported by PSI2017-82218-P (Ministerio de Economía, Industria y Competitividad, Spain).

Funders

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