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Whole-brain white matter organization, intelligence, and educational attainment.

J Bathelt | G Scerif | A C Nobre | D E Astle
Trends in neuroscience and education | 2019

General cognitive ability, sometimes referred to as intelligence, is associated with educational attainment throughout childhood. Most studies that have explored the neural correlates of intelligence in childhood focus on individual brain regions. This analytical approach is designed to identify restricted sets of voxels that overlap across participants. By contrast, we explored the relationship between white matter connectome organization, intelligence, and education. In both a sample of typically-developing children (N = 63) and a sample of struggling learners (N = 139), the white matter connectome efficiency was strongly associated with intelligence and educational attainment. Further, intelligence partially mediated the relationship between connectome efficiency and educational attainment. In contrast, a canonical voxel-wise analysis failed to identify any significant relationships. The results emphasize the importance of distributed brain network properties for cognitive or educational ability in childhood. Our findings are interpreted in the context of a developmental theory, which emphasizes the interaction between different subsystems over developmental time.

Pubmed ID: 31176470

Research resources used in this publication

None found

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Antibodies used in this publication

None found

Associated grants

  • Agency: Medical Research Council, United Kingdom
    Id: MC_UP_A060_1103
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_00005/2
  • Agency: Medical Research Council, United Kingdom
    Id: MC-A0606-5PQ41
  • Agency: Wellcome Trust, United Kingdom
    Id: 104571/Z/14/Z
  • Agency: Department of Health, United Kingdom
  • Agency: Wellcome Trust, United Kingdom
    Id: 203139/Z/16/Z

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FreeSurfer (tool)

RRID:SCR_001847

Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS.

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RRID:SCR_008058

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dcm2nii (tool)

RRID:SCR_014099

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