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. 2015;220(3):1291-306.
doi: 10.1007/s00429-014-0723-y. Epub 2014 Feb 22.

Individual differences in regional prefrontal gray matter morphometry and fractional anisotropy are associated with different constructs of executive function

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Individual differences in regional prefrontal gray matter morphometry and fractional anisotropy are associated with different constructs of executive function

H R Smolker et al. Brain Struct Funct. 2015.

Abstract

Although the relationship between structural differences within the prefrontal cortex (PFC) and executive function (EF) has been widely explored in cognitively impaired populations, little is known about this relationship in healthy young adults. Using optimized voxel-based morphometry (VBM), surface-based morphometry (SBM), and fractional anisotropy (FA) we determined the association between regional PFC grey matter (GM) morphometry and white matter tract diffusivity with performance on tasks that tap different aspects of EF as drawn from Miyake et al.'s three-factor model of EF. Reductions in both GM volume (VBM) and cortical folding (SBM) in the ventromedial PFC (vmPFC), ventrolateral PFC (vlPFC), and dorsolateral PFC (dlPFC) predicted better common EF, shifting-specific, and updating-specific performance, respectively. Despite capturing different components of GM morphometry, voxel- and surface-based findings were highly related, exhibiting regionally overlapping relationships with EF. Increased white matter FA in fiber tracts that connect the vmPFC and vlPFC with posterior regions of the brain also predicted better common EF and shifting-specific performance, respectively. These results suggest that the neural mechanisms supporting distinct aspects of EF may differentially rely on distinct regions of the PFC, and at least in healthy young adults, are influenced by regional morphometry of the PFC and the FA of major white matter tracts that connect the PFC with posterior cortical and subcortical regions.

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Figures

Fig. 1
Fig. 1
a Correlations of common EF performance (slice z = −16, y = 32, x = 4, MNI), regional GMV (blue) and FA values (green). b Correlations of common EF performance and regional LGI. Blue VBM – GMV ROI warped onto the FreeSurfer inflated brain, translucent green = SBM – LGI ROI to illustrate the overlap between VBM and SBM findings. c Scatter plots for GMV (mm3) with common EF performance (z score), with FA value, and common EF performance (z score) with FA value. d Scatter plots for LGI with common EF performance (z score), with FA value, and with GMV (mm3). e Mediation analysis examining indirect effects. Statistics between common EF performance and GMV/LGI represent independent PFC mask analyses and not ROI-extracted parameter estimate non-independent analyses. Scatter plots are presented as a visual reference
Fig. 2
Fig. 2
a Correlations of shifting-specific performance (slice z = −10, y = 56, x = 28, MNI), regional GMV (blue) and FA values (green). b Correlations of shifting-specific performance and regional LGI. Blue = VBM – GMV ROI warped onto the FreeSurfer inflated brain, translucent green = SBM – LGI ROI to illustrate the overlap between VBM and SBM findings. c Scatter plots for GMV (mm3) with shifting-specific performance (z score), with FA value, and shifting-specific performance (z score) with FA value. d Scatter plots for LGI with shifting-specific performance (z score), with FA value, and with GMV (mm3). e Mediation analysis examining indirect effects. Statistics between shifting-specific performance and GMV/LGI represent independent PFC mask analyses and not ROI-extracted parameter estimate non-independent analyses. Scatter plots are presented as a visual reference
Fig. 3
Fig. 3
a Correlations of updating-specific performance (slice z = 12, x = −44, MNI) and regional GMV (blue). b Correlations of updating-specific performance and regional LGI. Blue = VBM – GMV ROI warped onto the FreeSurfer inflated brain, translucent green = SBM – LGI ROI to illustrate the overlap between VBM and SBM findings. c Scatter plots for GMV (mm3) with updating-specific performance (z score), LGI with updating-specific performance (z score), and LGI with GMV (mm3). Statistics between updating-specific performance and GMV/LGI represent independent PFC mask analyses and not ROI-extracted parameter estimate non-independent analyses. Scatter plots are presented as a visual reference

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