Imaging structural covariance in the development of intelligence

被引:45
|
作者
Khundrakpam, Budhachandra S. [1 ]
Lewis, John D. [1 ]
Reid, Andrew [2 ]
Karama, Sherif [1 ]
Zhao, Lu [1 ]
Chouinard-Decorte, Francois [1 ]
Evans, Alan C. [1 ]
机构
[1] McGill Univ, Montreal Neurol Inst, McConnell Brain Imaging Ctr, Montreal, PQ, Canada
[2] Res Ctr Julich, Inst Neurosci & Med INM 1, Julich, Germany
关键词
Verbal and performance intelligence; Cortical thickness; Structural covariance network; Neuroimaging; Cognitive development; AUTOMATED 3-D EXTRACTION; CORTICAL THICKNESS; BRAIN NETWORKS; WHITE-MATTER; INDIVIDUAL-DIFFERENCES; COMMUNITY STRUCTURE; COGNITIVE-ABILITY; HEALTHY-CHILDREN; READING-ABILITY; CEREBRAL-CORTEX;
D O I
10.1016/j.neuroimage.2016.08.041
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Verbal and non-verbal intelligence in children is highly correlated, and thus, it has been difficult to differentiate their neural substrates. Nevertheless, recent studies have shown that verbal and non-verbal intelligence can be dissociated and focal cortical regions corresponding to each have been demonstrated. However, the pattern of structural covariance corresponding to verbal and non-verbal intelligence remains unexplored. In this study, we used 586 longitudinal anatomical MRI scans of subjects aged 6-18 years, who had concurrent intelligence quotient (IQ) testing on the Wechsler Abbreviated Scale of Intelligence. Structural covariance networks (SCNs) were constructed using interregional correlations in cortical thickness for low-IQ (Performance IQ=100 +/- 8, Verbal IQ=100 +/- 7) and high-IQ (PM= 121 +/- 8, VIQ=120 +/- 9) groups. From low-to high-VIQ group, we observed constrained patterns of anatomical coupling among cortical regions, complemented by observations of higher global efficiency and modularity, and lower local efficiency in high-VIQ group, suggesting a shift towards a more optimal topological organization. Analysis of nodal topological properties (regional efficiency and participation coefficient) revealed greater involvement of left-hemispheric language related regions including inferior frontal and superior temporal gyri for high-VIQ group. From low-to high-PIQ group, we did not observe significant differences in anatomical coupling patterns, global and nodal topological properties. Our findings indicate that people with higher verbal intelligence have structural brain differences from people with lower verbal intelligence - not only in localized cortical regions, but also in the patterns of anatomical coupling among widely distributed cortical regions, possibly resulting to a system-level reorganization that might lead to a more efficient organization in high-VIQ group. Crown Copyright (C) 2016 Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:227 / 240
页数:14
相关论文
共 50 条
  • [21] Structural imaging of development in serotonergic brain systems
    Jernigan, T. L.
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2011, 21 : S227 - S227
  • [22] Covariance Matrix Compact Differential Evolution for Embedded Intelligence
    Jewajinda, Yutana
    2016 IEEE REGION 10 SYMPOSIUM (TENSYMP), 2016, : 349 - 354
  • [23] Genetic Covariance Structure of Reading, Intelligence and Memory in Children
    Marieke van Leeuwen
    Stéphanie M. van den Berg
    Jiska S. Peper
    Hilleke E. Hulshoff Pol
    Dorret I. Boomsma
    Behavior Genetics, 2009, 39 : 245 - 254
  • [24] Genetic Covariance Structure of Reading, Intelligence and Memory in Children
    van Leeuwen, Marieke
    van den Berg, Stephanie M.
    Peper, Jiska S.
    Pol, Hilleke E. Hulshoff
    Boomsma, Dorret I.
    BEHAVIOR GENETICS, 2009, 39 (03) : 245 - 254
  • [25] Structural covariance in the hard sphere fluid
    Carter, Benjamin M. G. D.
    Turci, Francesco
    Ronceray, Pierre
    Royall, C. Patrick
    JOURNAL OF CHEMICAL PHYSICS, 2018, 148 (20):
  • [26] Bridging Brain and Cognition: A Multilayer Network Analysis of Brain Structural Covariance and General Intelligence in a Developmental Sample of Struggling Learners
    Simpson-Kent, Ivan L.
    Fried, Eiko I.
    Akarca, Danyal
    Mareva, Silvana
    Bullmore, Edward T.
    Kievit, Rogier A.
    JOURNAL OF INTELLIGENCE, 2021, 9 (02)
  • [27] Structural covariance networks in the mouse brain
    Pagani, Marco
    Bifone, Angelo
    Gozzi, Alessandro
    NEUROIMAGE, 2016, 129 : 55 - 63
  • [28] Structural Covariance Networks in Young Adults
    Zielinski, Brandon A.
    Gennatas, Efstathios D.
    Zhou, Juan
    Seeley, William W.
    NEUROLOGY, 2011, 76 (09) : A303 - A303
  • [29] Structural covariance of the hypothalamic regions in obesity
    Miranda-Olivos, R.
    Contreras-Rodriguez, O.
    Arnoriaga, M.
    Rodriguez, M. A.
    Puig, J.
    Blasco, G.
    Biarnes, C.
    Soriano-Mas, C.
    Fernandez-Real, J. M.
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2019, 29 : S385 - S385
  • [30] Magnetic Resonance Imaging-Based Structural Covariance Changes of the Striatum in Lifelong Premature Ejaculation Patients
    Wu, Jiayu
    Gao, Ming
    Piao, Ruiqing
    Feng, Nana
    Geng, Bowen
    Liu, Peng
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2022, 55 (02) : 443 - 450