Literature DB >> 20161325

Positive association between cognitive ability and cortical thickness in a representative US sample of healthy 6 to 18 year-olds.

Karama S1, Ad-Dab'bagh Y, Haier Rj, Deary Ij, Lyttelton Oc, Lepage C, Evans Ac.   

Abstract

Neuroimaging studies, using various modalities, have evidenced a link between the general intelligence factor (g) and regional brain function and structure in several multimodal association areas. While in the last few years, developments in computational neuroanatomy have made possible the in vivo quantification of cortical thickness, the relationship between cortical thickness and psychometric intelligence has been little studied. Recently, cortical thickness estimations have been improved by the use of an iterative hemisphere-specific template registration algorithm which provides a better between-subject alignment of brain surfaces. Using this improvement, we aimed to further characterize brain regions where cortical thickness was associated with cognitive ability differences and to test the hypothesis that these regions are mostly located in multimodal association areas. We report associations between a general cognitive ability factor (as an estimate of g) derived from the four subtests of the Wechsler Abbreviated Scale of Intelligence and cortical thickness adjusted for age, gender, and scanner in a large sample of healthy children and adolescents (ages 6-18, N=216) representative of the US population. Significant positive associations were evidenced between the cognitive ability factor and cortical thickness in most multimodal association areas. Results are consistent with a distributed model of intelligence.

Entities:  

Year:  2009        PMID: 20161325      PMCID: PMC2678742          DOI: 10.1016/j.intell.2008.09.006

Source DB:  PubMed          Journal:  Intelligence        ISSN: 0160-2896


  40 in total

1.  Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI.

Authors:  D MacDonald; N Kabani; D Avis; A C Evans
Journal:  Neuroimage       Date:  2000-09       Impact factor: 6.556

2.  A neural basis for general intelligence.

Authors:  J Duncan; R J Seitz; J Kolodny; D Bor; H Herzog; A Ahmed; F N Newell; H Emslie
Journal:  Science       Date:  2000-07-21       Impact factor: 47.728

3.  Fast and robust parameter estimation for statistical partial volume models in brain MRI.

Authors:  Jussi Tohka; Alex Zijdenbos; Alan Evans
Journal:  Neuroimage       Date:  2004-09       Impact factor: 6.556

4.  Voxel-based morphometry and stereology provide convergent evidence of the importance of medial prefrontal cortex for fluid intelligence in healthy adults.

Authors:  Qi-Yong Gong; Vanessa Sluming; Andrew Mayes; Simon Keller; Thomas Barrick; Enis Cezayirli; Neil Roberts
Journal:  Neuroimage       Date:  2005-05-01       Impact factor: 6.556

Review 5.  Unified univariate and multivariate random field theory.

Authors:  Keith J Worsley; Jonathan E Taylor; Francesco Tomaiuolo; Jason Lerch
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

6.  White matter integrity and cognition in childhood and old age.

Authors:  I J Deary; M E Bastin; A Pattie; J D Clayden; L J Whalley; J M Starr; J M Wardlaw
Journal:  Neurology       Date:  2006-02-28       Impact factor: 9.910

7.  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

Review 8.  Geometric strategies for neuroanatomic analysis from MRI.

Authors:  James S Duncan; Xenophon Papademetris; Jing Yang; Marcel Jackowski; Xiaolan Zeng; Lawrence H Staib
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

9.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data.

Authors:  J G Sled; A P Zijdenbos; A C Evans
Journal:  IEEE Trans Med Imaging       Date:  1998-02       Impact factor: 10.048

10.  Functional MRI evidence for disparate developmental processes underlying intelligence in boys and girls.

Authors:  Vincent J Schmithorst; Scott K Holland
Journal:  Neuroimage       Date:  2006-03-15       Impact factor: 6.556

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  73 in total

1.  Development of the brain's structural network efficiency in early adolescence: A longitudinal DTI twin study.

Authors:  Marinka M G Koenis; Rachel M Brouwer; Martijn P van den Heuvel; René C W Mandl; Inge L C van Soelen; René S Kahn; Dorret I Boomsma; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2015-09-14       Impact factor: 5.038

2.  Breadth and age-dependency of relations between cortical thickness and cognition.

Authors:  Timothy A Salthouse; Christian Habeck; Qolamreza Razlighi; Daniel Barulli; Yunglin Gazes; Yaakov Stern
Journal:  Neurobiol Aging       Date:  2015-08-18       Impact factor: 4.673

3.  Intellectual abilities and white matter microstructure in development: a diffusion tensor imaging study.

Authors:  Christian K Tamnes; Ylva Østby; Kristine B Walhovd; Lars T Westlye; Paulina Due-Tønnessen; Anders M Fjell
Journal:  Hum Brain Mapp       Date:  2010-10       Impact factor: 5.038

4.  Age- and gender-related regional variations of human brain cortical thickness, complexity, and gradient in the third decade.

Authors:  Maud Creze; Leslie Versheure; Pierre Besson; Chloe Sauvage; Xavier Leclerc; Patrice Jissendi-Tchofo
Journal:  Hum Brain Mapp       Date:  2013-10-18       Impact factor: 5.038

5.  Selective association between cortical thickness and reference abilities in normal aging.

Authors:  Seonjoo Lee; Christian Habeck; Qolamreza Razlighi; Timothy Salthouse; Yaakov Stern
Journal:  Neuroimage       Date:  2016-06-25       Impact factor: 6.556

6.  Cortical Structure and Cognition in Infants and Toddlers.

Authors:  Jessica B Girault; Emil Cornea; Barbara D Goldman; Shaili C Jha; Veronica A Murphy; Gang Li; Li Wang; Dinggang Shen; Rebecca C Knickmeyer; Martin Styner; John H Gilmore
Journal:  Cereb Cortex       Date:  2020-03-21       Impact factor: 5.357

7.  The Dynamic Associations Between Cortical Thickness and General Intelligence are Genetically Mediated.

Authors:  J Eric Schmitt; Armin Raznahan; Liv S Clasen; Greg L Wallace; Joshua N Pritikin; Nancy Raitano Lee; Jay N Giedd; Michael C Neale
Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

8.  The Shared Genetic Basis of Educational Attainment and Cerebral Cortical Morphology.

Authors:  Tian Ge; Chia-Yen Chen; Alysa E Doyle; Richard Vettermann; Lauri J Tuominen; Daphne J Holt; Mert R Sabuncu; Jordan W Smoller
Journal:  Cereb Cortex       Date:  2019-07-22       Impact factor: 5.357

9.  Children's intellectual ability is associated with structural network integrity.

Authors:  Dae-Jin Kim; Elysia Poggi Davis; Curt A Sandman; Olaf Sporns; Brian F O'Donnell; Claudia Buss; William P Hetrick
Journal:  Neuroimage       Date:  2015-09-15       Impact factor: 6.556

10.  Alzheimer's disease neurodegenerative biomarkers are associated with decreased cognitive function but not β-amyloid in cognitively normal older individuals.

Authors:  Miranka Wirth; Cindee M Madison; Gil D Rabinovici; Hwamee Oh; Susan M Landau; William J Jagust
Journal:  J Neurosci       Date:  2013-03-27       Impact factor: 6.167

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