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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Revista:
Psicothema

ISSN: 0214-9915,  1886-144X

Año de publicación: 2019

Volumen: 31

Número: 3

Páginas: 229-238

Tipo: Artículo

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Otras publicaciones en: Psicothema

Resumen

Antecedentes: ¿Predicen las variables cognitivas y biológicas el futuro desempeño cognitivo? Método: en dos grupos independientes de participantes se miden variables cognitivas (inteligencia fluida y cristalizada, memoria operativa y control atencional) y biológicas (grosor y superficie cortical) en dos ocasiones separadas por seis meses, para predecir el desempeño en la tarea n-back valorado doce y dieciocho meses después. Se completan tres etapas: descubrimiento, validación y generalización. En la de descubrimiento se valoran en un grupo de individuos las variables cognitivas/biológicas y el desempeño a predecir. En la de validación, se relacionan las mismas variables con una versión paralela de la n-back completada meses después. En la de generalización, los resultados de la validación se replican en un grupo independiente de individuos. Resultados: las variaciones de superficie cortical en la corteza dorsolateral prefrontal derecha predicen el desempeño cognitivo en los dos grupos independientes de individuos, mientras que las variables cognitivas no contribuyen a la predicción del desempeño futuro. Conclusiones: las diferencias individuales en determinadas variables biológicas predicen el desempeño cognitivo mejor que las variables cognitivas que correlacionan concurrentemente con ese desempeño.

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Información de financiación

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

Financiadores

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