Literature DB >> 24382822

Genetic associations between intelligence and cortical thickness emerge at the start of puberty.

Rachel M Brouwer1, Inge L C van Soelen, Suzanne C Swagerman, Hugo G Schnack, Erik A Ehli, René S Kahn, Hilleke E Hulshoff Pol, Dorret I Boomsma.   

Abstract

Cognitive abilities are related to (changes in) brain structure during adolescence and adulthood. Previous studies suggest that associations between cortical thickness and intelligence may be different at different ages. As both intelligence and cortical thickness are heritable traits, the question arises whether the association between cortical thickness development and intelligence is due to genes influencing both traits. We study this association in a longitudinal sample of young twins. Intelligence was assessed by standard IQ tests at age 9 in 224 twins, 190 of whom also underwent structural magnetic resonance imaging (MRI). Three years later at age 12, 177/125 twins returned for a follow-up measurement of intelligence/MRI scanning, respectively. We investigated whether cortical thickness was associated with intelligence and if so, whether this association was driven by genes. At age 9, there were no associations between cortical thickness and intelligence. At age 12, a negative relationship emerged. This association was mainly driven by verbal intelligence, and manifested itself most prominently in the left hemisphere. Cortical thickness and intelligence were explained by the same genes. As a post hoc analysis, we tested whether a specific allele (rs6265; Val66Met in the BDNF gene) contributed to this association. Met carriers showed lower intelligence and a thicker cortex, but only the association between the BDNF genotype and cortical thickness in the left superior parietal gyrus reached significance. In conclusion, it seems that brain areas contributing to (verbal) intellectual performance are specializing under the influence of genes around the onset of puberty.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  adolescence; cerebral cortex; genetic associations; intelligence; twins

Mesh:

Substances:

Year:  2013        PMID: 24382822      PMCID: PMC6868947          DOI: 10.1002/hbm.22435

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


  58 in total

1.  A powerful and rapid approach to human genome scanning using small quantities of genomic DNA.

Authors:  M Beekman; N Lakenberg; S S Cherny; P de Knijff; C C Kluft; G J van Ommen; G P Vogler; R R Frants; D I Boomsma; P E Slagboom
Journal:  Genet Res       Date:  2001-04       Impact factor: 1.588

2.  Longitudinal mapping of cortical thickness and brain growth in normal children.

Authors:  Elizabeth R Sowell; Paul M Thompson; Christiana M Leonard; Suzanne E Welcome; Eric Kan; Arthur W Toga
Journal:  J Neurosci       Date:  2004-09-22       Impact factor: 6.167

3.  Brain plasticity and intellectual ability are influenced by shared genes.

Authors:  Rachel G H Brans; René S Kahn; Hugo G Schnack; G Caroline M van Baal; Danielle Posthuma; Neeltje E M van Haren; Claude Lepage; Jason P Lerch; D Louis Collins; Alan C Evans; Dorret I Boomsma; Hilleke E Hulshoff Pol
Journal:  J Neurosci       Date:  2010-04-21       Impact factor: 6.167

Review 4.  Language acquisition and brain development.

Authors:  Kuniyoshi L Sakai
Journal:  Science       Date:  2005-11-04       Impact factor: 47.728

5.  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

6.  Brain maturation in adolescence and young adulthood: regional age-related changes in cortical thickness and white matter volume and microstructure.

Authors:  Christian K Tamnes; Ylva Ostby; Anders M Fjell; Lars T Westlye; Paulina Due-Tønnessen; Kristine B Walhovd
Journal:  Cereb Cortex       Date:  2009-06-11       Impact factor: 5.357

7.  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

8.  Heritability of regional and global brain structure at the onset of puberty: a magnetic resonance imaging study in 9-year-old twin pairs.

Authors:  Jiska S Peper; Hugo G Schnack; Rachel M Brouwer; G Caroline M Van Baal; Eneda Pjetri; Eszter Székely; Marieke van Leeuwen; Stéphanie M van den Berg; D Louis Collins; Alan C Evans; Dorret I Boomsma; René S Kahn; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2009-07       Impact factor: 5.038

9.  Differences in genetic and environmental influences on the human cerebral cortex associated with development during childhood and adolescence.

Authors:  Rhoshel K Lenroot; James E Schmitt; Sarah J Ordaz; Gregory L Wallace; Michael C Neale; Jason P Lerch; Kenneth S Kendler; Alan C Evans; Jay N Giedd
Journal:  Hum Brain Mapp       Date:  2009-01       Impact factor: 5.038

10.  Cerebral white matter in early puberty is associated with luteinizing hormone concentrations.

Authors:  Jiska S Peper; Rachel M Brouwer; Hugo G Schnack; G Caroline M van Baal; Marieke van Leeuwen; Stéphanie M van den Berg; Henriëtte A Delemarre-Van de Waal; Andrew L Janke; D Louis Collins; Alan C Evans; Dorret I Boomsma; René S Kahn; Hilleke E Hulshoff Pol
Journal:  Psychoneuroendocrinology       Date:  2008-07-21       Impact factor: 4.905

View more
  11 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.  A systematic literature review of sex differences in childhood language and brain development.

Authors:  Andrew Etchell; Aditi Adhikari; Lauren S Weinberg; Ai Leen Choo; Emily O Garnett; Ho Ming Chow; Soo-Eun Chang
Journal:  Neuropsychologia       Date:  2018-04-11       Impact factor: 3.139

3.  Age of first exposure to football and later-life cognitive impairment in former NFL players.

Authors:  Julie M Stamm; Alexandra P Bourlas; Christine M Baugh; Nathan G Fritts; Daniel H Daneshvar; Brett M Martin; Michael D McClean; Yorghos Tripodis; Robert A Stern
Journal:  Neurology       Date:  2015-01-28       Impact factor: 9.910

4.  Genetics and brain morphology.

Authors:  Lachlan T Strike; Baptiste Couvy-Duchesne; Narelle K Hansell; Gabriel Cuellar-Partida; Sarah E Medland; Margaret J Wright
Journal:  Neuropsychol Rev       Date:  2015-03-14       Impact factor: 7.444

5.  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

6.  Association between structural brain network efficiency and intelligence increases during adolescence.

Authors:  Marinka M G Koenis; Rachel M Brouwer; Suzanne C Swagerman; Inge L C van Soelen; Dorret I Boomsma; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2017-11-14       Impact factor: 5.038

7.  Cortical thickness change in autism during early childhood.

Authors:  Elizabeth Smith; Audrey Thurm; Deanna Greenstein; Cristan Farmer; Susan Swedo; Jay Giedd; Armin Raznahan
Journal:  Hum Brain Mapp       Date:  2016-04-07       Impact factor: 5.038

8.  Neuroanatomical Correlates Underlying the Association Between Maternal Interleukin 6 Concentration During Pregnancy and Offspring Fluid Reasoning Performance in Early Childhood.

Authors:  Jerod M Rasmussen; Alice M Graham; Lauren E Gyllenhammer; Sonja Entringer; Daniel S Chow; Thomas G O'Connor; Damien A Fair; Pathik D Wadhwa; Claudia Buss
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2021-03-23

9.  Distinct Regionalization Patterns of Cortical Morphology are Associated with Cognitive Performance Across Different Domains.

Authors:  C E Palmer; W Zhao; R Loughnan; J Zou; C C Fan; W K Thompson; A M Dale; T L Jernigan
Journal:  Cereb Cortex       Date:  2021-07-05       Impact factor: 5.357

10.  Brain Magnetic Resonance Imaging Phenome-Wide Association Study With Metal Transporter Gene SLC39A8.

Authors:  Evan R Hermann; Emily Chambers; Danielle N Davis; McKale R Montgomery; Dingbo Lin; Winyoo Chowanadisai
Journal:  Front Genet       Date:  2021-03-15       Impact factor: 4.599

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.