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      Reproducibility of brain‐cognition relationships using three cortical surface‐based protocols: An exhaustive analysis based on cortical thickness

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          Abstract

          People differ in their cognitive functioning. This variability has been exhaustively examined at the behavioral, neural and genetic level to uncover the mechanisms by which some individuals are more cognitively efficient than others. Studies investigating the neural underpinnings of interindividual differences in cognition aim to establish a reliable nexus between functional/structural properties of a given brain network and higher order cognitive performance. However, these studies have produced inconsistent results, which might be partly attributed to methodological variations. In the current study, 82 healthy young participants underwent MRI scanning and completed a comprehensive cognitive battery including measurements of fluid, crystallized, and spatial intelligence, along with working memory capacity/executive updating, controlled attention, and processing speed. The cognitive scores were obtained by confirmatory factor analyses. T 1‐weighted images were processed using three different surface‐based morphometry (SBM) pipelines, varying in their degree of user intervention, for obtaining measures of cortical thickness (CT) across the brain surface. Distribution and variability of CT and CT‐cognition relationships were systematically compared across pipelines and between two cognitively/demographically matched samples to overcome potential sources of variability affecting the reproducibility of findings. We demonstrated that estimation of CT was not consistent across methods. In addition, among SBM methods, there was considerable variation in the spatial pattern of CT‐cognition relationships. Finally, within each SBM method, results did not replicate in matched subsamples. Hum Brain Mapp 36:3227–3245, 2015. © 2015 Wiley Periodicals, Inc.

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          Author and article information

          Journal
          Hum Brain Mapp
          Hum Brain Mapp
          10.1002/(ISSN)1097-0193
          HBM
          Human Brain Mapping
          John Wiley and Sons Inc. (Hoboken )
          1065-9471
          1097-0193
          28 May 2015
          August 2015
          : 36
          : 8 ( doiID: 10.1002/hbm.v36.8 )
          : 3227-3245
          Affiliations
          [ 1 ] Departamento de Psicología Biológica y de la Salud, Facultad De Psicología Universidad Autónoma De Madrid Spain
          [ 2 ] Departamento de Psiquiatría del Niño y del Adolescente Instituto De Investigación Sanitaria Hospital Gregorio Marañón Madrid Spain
          [ 3 ] USC Mark and Mary Stevens Neuroimaging and Informatics Institute Imaging Genetics Center, University of Southern California Los Angeles California
          [ 4 ] Biomedical Imaging Group University of Southern California Los Angeles California
          [ 5 ] Department of Neurology, Ahmanson Lovelace Brain Mapping Center University of California Los Angeles California
          [ 6 ] Center for Brain and Cognition Universitat Pompeu Fabra Barcelona Spain
          [ 7 ] Montreal Neurological Institute (MNI) Montreal Canada
          [ 8 ] Ciber del área de Salud Mental (CIBERSAM) Madrid Spain
          [ 9 ] Department of Psychiatry, Brain Center Rudolf Magnus University Medical Center Utrecht Utrecht the Netherlands
          [ 10 ] Departamento De Bioingeniería E Ingeniería Aeroespacial Universidad Carlos III De Madrid Madrid Spain
          [ 11 ] Unidad De Medicina Y Cirugía Experimental Instituto De Investigación Sanitaria Hospital Gregorio Marañón Madrid Spain
          Author notes
          [*] [* ]Correspondence to: Kenia Martínez; Universidad Autónoma de Madrid, 28049, Madrid, Spain. E‐mail: kenia.martinez.r@ 123456gmail.com
          Article
          PMC6868955 PMC6868955 6868955 HBM22843
          10.1002/hbm.22843
          6868955
          26032714
          2a739896-1f99-4ce2-a3cf-c63a024238a8
          © 2015 Wiley Periodicals, Inc.
          History
          : 21 July 2014
          : 20 April 2015
          : 04 May 2015
          Page count
          Pages: 19
          Funding
          Funded by: Ministerio de Ciencia e Innovación, Spain
          Award ID: SEJ2066‐07890, PSI2010‐20364, BES‐2011‐043527, AP2006‐00934
          Funded by: Ministerio de Educación, Spain
          Award ID: AP2008‐00433
          Funded by: Alianza 4 Universidades Program, Spain
          Award ID: A4U‐4‐2011
          Categories
          Research Article
          Research Articles
          Custom metadata
          2.0
          August 2015
          Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.2 mode:remove_FC converted:15.11.2019

          higher order cognition,cortical thickness,surface‐based methods

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