Literature DB >> 25255941

Sex differences in neocortical structure and cognitive performance: A surface-based morphometry study.

Sergio Escorial1, Francisco J Román2, Kenia Martínez3, Miguel Burgaleta4, Sherif Karama5, Roberto Colom2.   

Abstract

On average, men show larger brain volumes than women. Regional differences have been also observed, although most of the available studies apply voxel-based morphometry (VBM). Reports applying surface-based morphometry (SBM) have been focused mainly on cortical thickness (CT). Here we apply SBM for obtaining global and regional indices of CT, cortical surface area (CSA), and cortical gray matter volume (CGMV) from samples of men (N=40) and women (N=40) matched for their performance on four cognitive factors varying in their complexity: processing speed, attention control, working memory capacity, and fluid intelligence. These were the main findings: 1) CT and CSA produced very weak correlations in both sexes, 2) men showed larger values in CT, CSA, and CGMV, and 3) cognitive performance was unrelated to brain structural variation within sexes. Therefore, we found substantial group differences in brain structure, but there was no relationship with cognitive performance both between and within-sexes.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cognition; Cortical gray matter volume; Cortical surface area; Cortical thickness; Sex differences

Mesh:

Year:  2014        PMID: 25255941     DOI: 10.1016/j.neuroimage.2014.09.035

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  8 in total

1.  An Allometric Analysis of Sex and Sex Chromosome Dosage Effects on Subcortical Anatomy in Humans.

Authors:  Paul Kirkpatrick Reardon; Liv Clasen; Jay N Giedd; Jonathan Blumenthal; Jason P Lerch; M Mallar Chakravarty; Armin Raznahan
Journal:  J Neurosci       Date:  2016-02-24       Impact factor: 6.167

2.  Association Between the Probability of Autism Spectrum Disorder and Normative Sex-Related Phenotypic Diversity in Brain Structure.

Authors:  Christine Ecker; Derek S Andrews; Christina M Gudbrandsen; Andre F Marquand; Cedric E Ginestet; Eileen M Daly; Clodagh M Murphy; Meng-Chuan Lai; Michael V Lombardo; Amber N V Ruigrok; Edward T Bullmore; John Suckling; Steven C R Williams; Simon Baron-Cohen; Michael C Craig; Declan G M Murphy
Journal:  JAMA Psychiatry       Date:  2017-04-01       Impact factor: 21.596

3.  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

4.  Age effects on cortical thickness in young Down's syndrome subjects: a cross-sectional gender study.

Authors:  Andrea Romano; Marta Moraschi; Riccardo Cornia; Alessandro Bozzao; Olga Gagliardo; Laura Chiacchiararelli; Cristina Iani; Giacomo Stella; Giorgio Albertini; Alberto Pierallini
Journal:  Neuroradiology       Date:  2015-01-06       Impact factor: 2.804

5.  Investigating sexual dimorphism in human brain structure by combining multiple indexes of brain morphology and source-based morphometry.

Authors:  Gianpaolo Del Mauro; Nicola Del Maschio; Simone Sulpizio; Davide Fedeli; Daniela Perani; Jubin Abutalebi
Journal:  Brain Struct Funct       Date:  2021-09-16       Impact factor: 3.270

6.  Sex differences in gray matter volume: how many and how large are they really?

Authors:  Carla Sanchis-Segura; Maria Victoria Ibañez-Gual; Jesús Adrián-Ventura; Naiara Aguirre; Álvaro Javier Gómez-Cruz; César Avila; Cristina Forn
Journal:  Biol Sex Differ       Date:  2019-07-01       Impact factor: 5.027

Review 7.  Considering Biological Sex in Traumatic Brain Injury.

Authors:  Anat Biegon
Journal:  Front Neurol       Date:  2021-02-10       Impact factor: 4.003

8.  Prefrontal Cortex Structure Predicts Training-Induced Improvements in Multitasking Performance.

Authors:  Ashika Verghese; K G Garner; Jason B Mattingley; Paul E Dux
Journal:  J Neurosci       Date:  2016-03-02       Impact factor: 6.167

  8 in total

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