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Synergistic Effects of Age on Patterns of White and Gray Matter Volume across Childhood and Adolescence(1,2,3).

Bray S, Krongold M, Cooper C, Lebel C - eNeuro (2015)

Bottom Line: Linear effects of age on white and gray matter volume were modeled within four age bins, spanning 4-18 years, each including 90 participants (45 male).Four white matter clusters were identified, each with a dominant direction of underlying fibers: anterior-posterior, left-right, and two clusters with superior-inferior directions.Pairs of gray and white matter clusters followed parallel slope trajectories, with white matter changes generally positive from 8 years onward (indicating volume increases) and gray matter negative (decreases).

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Radiology, Cumming School of Medicine, University of Calgary , Calgary, Alberta, Canada T2N 1N4 ; Department of Pediatrics, Cumming School of Medicine, University of Calgary , Calgary, Alberta, Canada T2N 1N4 ; Child and Adolescent Imaging Research Program, Alberta Children's Hospital , Calgary, Alberta, Canada T3B 6A8 ; Alberta Children's Hospital Research Institute , Calgary, Alberta, Canada T3B 6A8.

ABSTRACT
The human brain develops with a nonlinear contraction of gray matter across late childhood and adolescence with a concomitant increase in white matter volume. Across the adult population, properties of cortical gray matter covary within networks that may represent organizational units for development and degeneration. Although gray matter covariance may be strongest within structurally connected networks, the relationship to volume changes in white matter remains poorly characterized. In the present study we examined age-related trends in white and gray matter volume using T1-weighted MR images from 360 human participants from the NIH MRI study of Normal Brain Development. Images were processed through a voxel-based morphometry pipeline. Linear effects of age on white and gray matter volume were modeled within four age bins, spanning 4-18 years, each including 90 participants (45 male). White and gray matter age-slope maps were separately entered into k-means clustering to identify regions with similar age-related variability across the four age bins. Four white matter clusters were identified, each with a dominant direction of underlying fibers: anterior-posterior, left-right, and two clusters with superior-inferior directions. Corresponding, spatially proximal, gray matter clusters encompassed largely cerebellar, fronto-insular, posterior, and sensorimotor regions, respectively. Pairs of gray and white matter clusters followed parallel slope trajectories, with white matter changes generally positive from 8 years onward (indicating volume increases) and gray matter negative (decreases). As developmental disorders likely target networks rather than individual regions, characterizing typical coordination of white and gray matter development can provide a normative benchmark for understanding atypical development.

No MeSH data available.


Related in: MedlinePlus

Superior corona radiata/posterior gray matter clusters. This white matter cluster included deep white matter of the superior longitudinal fasciculus, superior corona radiata, and body of the corpus callosum (A, C, D) and included mostly (68% of voxels) superior–inferior-oriented voxels. The corresponding gray matter cluster included primarily posterior cortical regions (A-D), including precuneus (B) and bilateral intraparietal sulcus (C). Mean gray and white matter slopes for the cluster with SDs (E) and a graphical illustration of volume trajectories (F) are shown for all four age bins. GM, gray matter; WM, white matter.
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Figure 1: Superior corona radiata/posterior gray matter clusters. This white matter cluster included deep white matter of the superior longitudinal fasciculus, superior corona radiata, and body of the corpus callosum (A, C, D) and included mostly (68% of voxels) superior–inferior-oriented voxels. The corresponding gray matter cluster included primarily posterior cortical regions (A-D), including precuneus (B) and bilateral intraparietal sulcus (C). Mean gray and white matter slopes for the cluster with SDs (E) and a graphical illustration of volume trajectories (F) are shown for all four age bins. GM, gray matter; WM, white matter.

Mentions: White matter clustersa showed a peak silhouette value at the four-cluster solution and gray matter clustersb at the two-cluster solution (this solution divided cerebral cortex from cerebellum). As the goal of this study was to identify clusters of white matter regions with coordinated developmental patterns, in relation to gray matter clusters, both gray and white matter was divided into four clusters, which were subsequently paired based on adjacency of regions (Figs. 1-4). Gray and white matter structures were identified through visual inspection and comparison to gray and white matter atlases (Tzourio-Mazoyer et al., 2002; Oishi et al., 2011).


Synergistic Effects of Age on Patterns of White and Gray Matter Volume across Childhood and Adolescence(1,2,3).

Bray S, Krongold M, Cooper C, Lebel C - eNeuro (2015)

Superior corona radiata/posterior gray matter clusters. This white matter cluster included deep white matter of the superior longitudinal fasciculus, superior corona radiata, and body of the corpus callosum (A, C, D) and included mostly (68% of voxels) superior–inferior-oriented voxels. The corresponding gray matter cluster included primarily posterior cortical regions (A-D), including precuneus (B) and bilateral intraparietal sulcus (C). Mean gray and white matter slopes for the cluster with SDs (E) and a graphical illustration of volume trajectories (F) are shown for all four age bins. GM, gray matter; WM, white matter.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4596017&req=5

Figure 1: Superior corona radiata/posterior gray matter clusters. This white matter cluster included deep white matter of the superior longitudinal fasciculus, superior corona radiata, and body of the corpus callosum (A, C, D) and included mostly (68% of voxels) superior–inferior-oriented voxels. The corresponding gray matter cluster included primarily posterior cortical regions (A-D), including precuneus (B) and bilateral intraparietal sulcus (C). Mean gray and white matter slopes for the cluster with SDs (E) and a graphical illustration of volume trajectories (F) are shown for all four age bins. GM, gray matter; WM, white matter.
Mentions: White matter clustersa showed a peak silhouette value at the four-cluster solution and gray matter clustersb at the two-cluster solution (this solution divided cerebral cortex from cerebellum). As the goal of this study was to identify clusters of white matter regions with coordinated developmental patterns, in relation to gray matter clusters, both gray and white matter was divided into four clusters, which were subsequently paired based on adjacency of regions (Figs. 1-4). Gray and white matter structures were identified through visual inspection and comparison to gray and white matter atlases (Tzourio-Mazoyer et al., 2002; Oishi et al., 2011).

Bottom Line: Linear effects of age on white and gray matter volume were modeled within four age bins, spanning 4-18 years, each including 90 participants (45 male).Four white matter clusters were identified, each with a dominant direction of underlying fibers: anterior-posterior, left-right, and two clusters with superior-inferior directions.Pairs of gray and white matter clusters followed parallel slope trajectories, with white matter changes generally positive from 8 years onward (indicating volume increases) and gray matter negative (decreases).

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Radiology, Cumming School of Medicine, University of Calgary , Calgary, Alberta, Canada T2N 1N4 ; Department of Pediatrics, Cumming School of Medicine, University of Calgary , Calgary, Alberta, Canada T2N 1N4 ; Child and Adolescent Imaging Research Program, Alberta Children's Hospital , Calgary, Alberta, Canada T3B 6A8 ; Alberta Children's Hospital Research Institute , Calgary, Alberta, Canada T3B 6A8.

ABSTRACT
The human brain develops with a nonlinear contraction of gray matter across late childhood and adolescence with a concomitant increase in white matter volume. Across the adult population, properties of cortical gray matter covary within networks that may represent organizational units for development and degeneration. Although gray matter covariance may be strongest within structurally connected networks, the relationship to volume changes in white matter remains poorly characterized. In the present study we examined age-related trends in white and gray matter volume using T1-weighted MR images from 360 human participants from the NIH MRI study of Normal Brain Development. Images were processed through a voxel-based morphometry pipeline. Linear effects of age on white and gray matter volume were modeled within four age bins, spanning 4-18 years, each including 90 participants (45 male). White and gray matter age-slope maps were separately entered into k-means clustering to identify regions with similar age-related variability across the four age bins. Four white matter clusters were identified, each with a dominant direction of underlying fibers: anterior-posterior, left-right, and two clusters with superior-inferior directions. Corresponding, spatially proximal, gray matter clusters encompassed largely cerebellar, fronto-insular, posterior, and sensorimotor regions, respectively. Pairs of gray and white matter clusters followed parallel slope trajectories, with white matter changes generally positive from 8 years onward (indicating volume increases) and gray matter negative (decreases). As developmental disorders likely target networks rather than individual regions, characterizing typical coordination of white and gray matter development can provide a normative benchmark for understanding atypical development.

No MeSH data available.


Related in: MedlinePlus