Literature DB >> 35037940

The ABCD Study: Brain Heterogeneity in Intelligence During a Neurodevelopmental Transition Stage.

Qi Zhao1, Valerie Voon2, Lingli Zhang3, Chun Shen4, Jie Zhang4, Jianfeng Feng4,5.   

Abstract

A complex curvilinear relationship exists between intelligence and age during the neurodevelopment of cortical thickness. To parse out a more fine-grained relationship between intelligence and cortical thickness and surface area, we used a large-scale data set focusing on a critical transition juncture in neurodevelopment in preadolescence. Cortical thickness was derived from T1-weighted structural magnetic resonance images of a large sample of 9- and 11-year-old children from the Adolescent Brain Cognitive Development study. The NIH Toolbox Cognition Battery composite scores, which included fluid, crystallized, and total scores, were used to assess intelligence. Using a double generalized linear model, we assessed the independent association between the mean and dispersion of cortical thickness/surface area and intelligence. Higher intelligence in preadolescents was associated with higher mean cortical thickness in orbitofrontal and primary sensory cortices but with lower thickness in the dorsolateral and medial prefrontal cortex and particularly in the rostral anterior cingulate. The rostral anterior cingulate findings were particularly evident across all subscales of intelligence. Higher intelligence was also associated with greater interindividual similarity in the rostral cingulate. Intelligence during this key transition juncture in preadolescence appears to reflect a dissociation between the cortical development of basic cognitive processes and higher-order executive and motivational processes.
© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  adolescence; cognitive process; cortical thickness; intelligence; surface area

Mesh:

Year:  2022        PMID: 35037940      PMCID: PMC9290553          DOI: 10.1093/cercor/bhab403

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   4.861


  48 in total

1.  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

2.  Neuroanatomical correlates of intellectual ability across the life span.

Authors:  Suzanne Goh; Ravi Bansal; Dongrong Xu; Xuejun Hao; Jun Liu; Bradley S Peterson
Journal:  Dev Cogn Neurosci       Date:  2011-03-17       Impact factor: 6.464

3.  Relationships between IQ and regional cortical gray matter thickness in healthy adults.

Authors:  Katherine L Narr; Roger P Woods; Paul M Thompson; Philip Szeszko; Delbert Robinson; Teodora Dimtcheva; Mala Gurbani; Arthur W Toga; Robert M Bilder
Journal:  Cereb Cortex       Date:  2006-11-21       Impact factor: 5.357

4.  Multiple bases of human intelligence revealed by cortical thickness and neural activation.

Authors:  Yu Yong Choi; Noah A Shamosh; Sun Hee Cho; Colin G DeYoung; Min Joo Lee; Jong-Min Lee; Sun I Kim; Zang-Hee Cho; Kyungjin Kim; Jeremy R Gray; Kun Ho Lee
Journal:  J Neurosci       Date:  2008-10-08       Impact factor: 6.167

5.  Association of Heritable Cognitive Ability and Psychopathology With White Matter Properties in Children and Adolescents.

Authors:  Dag Alnæs; Tobias Kaufmann; Nhat Trung Doan; Aldo Córdova-Palomera; Yunpeng Wang; Francesco Bettella; Torgeir Moberget; Ole A Andreassen; Lars T Westlye
Journal:  JAMA Psychiatry       Date:  2018-03-01       Impact factor: 21.596

6.  Fluid intelligence and gross structural properties of the cerebral cortex in middle-aged and older adults: A multi-occasion longitudinal study.

Authors:  Peng Yuan; Manuel C Voelkle; Naftali Raz
Journal:  Neuroimage       Date:  2018-01-28       Impact factor: 6.556

7.  Cortical thickness correlates of specific cognitive performance accounted for by the general factor of intelligence in healthy children aged 6 to 18.

Authors:  Sherif Karama; Roberto Colom; Wendy Johnson; Ian J Deary; Richard Haier; Deborah P Waber; Claude Lepage; Hooman Ganjavi; Rex Jung; Alan C Evans
Journal:  Neuroimage       Date:  2011-01-15       Impact factor: 6.556

Review 8.  Evolution of the neocortex: a perspective from developmental biology.

Authors:  Pasko Rakic
Journal:  Nat Rev Neurosci       Date:  2009-10       Impact factor: 34.870

Review 9.  The brain's default network: updated anatomy, physiology and evolving insights.

Authors:  Randy L Buckner; Lauren M DiNicola
Journal:  Nat Rev Neurosci       Date:  2019-09-06       Impact factor: 34.870

Review 10.  What contributes to individual differences in brain structure?

Authors:  Jenny Gu; Ryota Kanai
Journal:  Front Hum Neurosci       Date:  2014-04-28       Impact factor: 3.169

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