Literature DB >> 26032714

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

Kenia Martínez1,2, Sarah K Madsen3, Anand A Joshi4, Shantanu H Joshi5, Francisco J Román1, Julio Villalon-Reina4, Miguel Burgaleta6, Sherif Karama7, Joost Janssen2,8,9, Eugenio Marinetto2,10, Manuel Desco8,10,11, Paul M Thompson4, Roberto Colom1.   

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. T1 -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.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  cortical thickness; higher order cognition; surface-based methods

Mesh:

Year:  2015        PMID: 26032714      PMCID: PMC6868955          DOI: 10.1002/hbm.22843

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  48 in total

1.  Individual differences in working memory within a nomological network of cognitive and perceptual speed abilities.

Authors:  Phillip L Ackerman; Margaret E Beier; Mary O Boyle
Journal:  J Exp Psychol Gen       Date:  2002-12

2.  An unbiased iterative group registration template for cortical surface analysis.

Authors:  Oliver Lyttelton; Maxime Boucher; Steven Robbins; Alan Evans
Journal:  Neuroimage       Date:  2006-12-26       Impact factor: 6.556

3.  Depth potential function for folding pattern representation, registration and analysis.

Authors:  Maxime Boucher; Sue Whitesides; Alan Evans
Journal:  Med Image Anal       Date:  2008-10-01       Impact factor: 8.545

4.  BigBrain: an ultrahigh-resolution 3D human brain model.

Authors:  Katrin Amunts; Claude Lepage; Louis Borgeat; Hartmut Mohlberg; Timo Dickscheid; Marc-Étienne Rousseau; Sebastian Bludau; Pierre-Louis Bazin; Lindsay B Lewis; Ana-Maria Oros-Peusquens; Nadim J Shah; Thomas Lippert; Karl Zilles; Alan C Evans
Journal:  Science       Date:  2013-06-21       Impact factor: 47.728

Review 5.  A probabilistic atlas of the human brain: theory and rationale for its development. The International Consortium for Brain Mapping (ICBM).

Authors:  J C Mazziotta; A W Toga; A Evans; P Fox; J Lancaster
Journal:  Neuroimage       Date:  1995-06       Impact factor: 6.556

6.  Neuroanatomic overlap between intelligence and cognitive factors: morphometry methods provide support for the key role of the frontal lobes.

Authors:  Roberto Colom; Miguel Burgaleta; Francisco J Román; Sherif Karama; Juan Alvarez-Linera; Francisco J Abad; Kenia Martínez; Ma Ángeles Quiroga; Richard J Haier
Journal:  Neuroimage       Date:  2013-01-26       Impact factor: 6.556

7.  A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM).

Authors:  J Mazziotta; A Toga; A Evans; P Fox; J Lancaster; K Zilles; R Woods; T Paus; G Simpson; B Pike; C Holmes; L Collins; P Thompson; D MacDonald; M Iacoboni; T Schormann; K Amunts; N Palomero-Gallagher; S Geyer; L Parsons; K Narr; N Kabani; G Le Goualher; D Boomsma; T Cannon; R Kawashima; B Mazoyer
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2001-08-29       Impact factor: 6.237

8.  Automatic "pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosis.

Authors:  Alex P Zijdenbos; Reza Forghani; Alan C Evans
Journal:  IEEE Trans Med Imaging       Date:  2002-10       Impact factor: 10.048

9.  Individual variability in functional connectivity architecture of the human brain.

Authors:  Sophia Mueller; Danhong Wang; Michael D Fox; B T Thomas Yeo; Jorge Sepulcre; Mert R Sabuncu; Rebecca Shafee; Jie Lu; Hesheng Liu
Journal:  Neuron       Date:  2013-02-06       Impact factor: 17.173

Review 10.  Human intelligence and brain networks.

Authors:  Roberto Colom; Sherif Karama; Rex E Jung; Richard J Haier
Journal:  Dialogues Clin Neurosci       Date:  2010       Impact factor: 5.986

View more
  10 in total

1.  Brain resilience across the general cognitive ability distribution: Evidence from structural connectivity.

Authors:  Javier Santonja; Kenia Martínez; Francisco J Román; Sergio Escorial; M Ángeles Quiroga; Juan Álvarez-Linera; Yasser Iturria-Medina; Emiliano Santarnecchi; Roberto Colom
Journal:  Brain Struct Funct       Date:  2021-01-20       Impact factor: 3.270

2.  Structural brain connectivity and cognitive ability differences: A multivariate distance matrix regression analysis.

Authors:  Vicente Ponsoda; Kenia Martínez; José A Pineda-Pardo; Francisco J Abad; Julio Olea; Francisco J Román; Aron K Barbey; Roberto Colom
Journal:  Hum Brain Mapp       Date:  2016-10-11       Impact factor: 5.038

3.  Atypical age-dependency of executive function and white matter microstructure in children and adolescents with autism spectrum disorders.

Authors:  Kenia Martínez; Jessica Merchán-Naranjo; Laura Pina-Camacho; Yasser Alemán-Gómez; Leticia Boada; David Fraguas; Carmen Moreno; Celso Arango; Joost Janssen; Mara Parellada
Journal:  Eur Child Adolesc Psychiatry       Date:  2017-04-26       Impact factor: 4.785

4.  The Dorsolateral Prefrontal Cortex Presents Structural Variations Associated with Empathy and Emotion Regulation in Psychotherapists.

Authors:  Marcos E Domínguez-Arriola; Víctor E Olalde-Mathieu; Eduardo A Garza-Villarreal; Fernando A Barrios
Journal:  Brain Topogr       Date:  2022-08-21       Impact factor: 4.275

Review 5.  Linking interindividual variability in brain structure to behaviour.

Authors:  Sarah Genon; Simon B Eickhoff; Shahrzad Kharabian
Journal:  Nat Rev Neurosci       Date:  2022-04-01       Impact factor: 38.755

6.  Empirical facts from search for replicable associations between cortical thickness and psychometric variables in healthy adults.

Authors:  Shahrzad Kharabian Masouleh; Simon B Eickhoff; Somayeh Maleki Balajoo; Eliana Nicolaisen-Sobesky; Bertrand Thirion; Sarah Genon
Journal:  Sci Rep       Date:  2022-08-02       Impact factor: 4.996

7.  Influence of Processing Pipeline on Cortical Thickness Measurement.

Authors:  Shahrzad Kharabian Masouleh; Simon B Eickhoff; Yashar Zeighami; Lindsay B Lewis; Robert Dahnke; Christian Gaser; Francois Chouinard-Decorte; Claude Lepage; Lianne H Scholtens; Felix Hoffstaedter; David C Glahn; John Blangero; Alan C Evans; Sarah Genon; Sofie L Valk
Journal:  Cereb Cortex       Date:  2020-07-30       Impact factor: 5.357

8.  Associations between Family Adversity and Brain Volume in Adolescence: Manual vs. Automated Brain Segmentation Yields Different Results.

Authors:  Hannah Lyden; Sarah I Gimbel; Larissa Del Piero; A Bryna Tsai; Matthew E Sachs; Jonas T Kaplan; Gayla Margolin; Darby Saxbe
Journal:  Front Neurosci       Date:  2016-09-05       Impact factor: 4.677

9.  Global associations between regional gray matter volume and diverse complex cognitive functions: evidence from a large sample study.

Authors:  Hikaru Takeuchi; Yasuyuki Taki; Rui Nouchi; Ryoichi Yokoyama; Yuka Kotozaki; Seishu Nakagawa; Atsushi Sekiguchi; Kunio Iizuka; Yuki Yamamoto; Sugiko Hanawa; Tsuyoshi Araki; Carlos Makoto Miyauchi; Takamitsu Shinada; Kohei Sakaki; Yuko Sassa; Takayuki Nozawa; Shigeyuki Ikeda; Susumu Yokota; Magistro Daniele; Ryuta Kawashima
Journal:  Sci Rep       Date:  2017-08-30       Impact factor: 4.379

10.  Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study.

Authors:  Amirhossein Modabbernia; Abraham Reichenberg; Alex Ing; Dominik A Moser; Gaelle E Doucet; Eric Artiges; Tobias Banaschewski; Gareth J Barker; Andreas Becker; Arun L W Bokde; Erin Burke Quinlan; Sylvane Desrivières; Herta Flor; Juliane H Fröhner; Hugh Garavan; Penny Gowland; Antoine Grigis; Yvonne Grimmer; Andreas Heinz; Corinna Insensee; Bernd Ittermann; Jean-Luc Martinot; Marie-Laure Paillère Martinot; Sabina Millenet; Frauke Nees; Dimitri Papadopoulos Orfanos; Tomáš Paus; Jani Penttilä; Luise Poustka; Michael N Smolka; Argyris Stringaris; Betteke M van Noort; Henrik Walter; Robert Whelan; Gunter Schumann; Sophia Frangou
Journal:  Mol Psychiatry       Date:  2020-05-22       Impact factor: 13.437

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.