Brain structures associated with executive functions during everyday events in a non-clinical sample

Takeuchi, Hikaru; Taki, Yasuyuki; Sassa, Yuko; Hashizume, Hiroshi; Sekiguchi, Atsushi; Fukushima, Ayako; Kawashima, Ryuta

doi:10.1007/s00429-012-0444-z

Cited by 84 publications

(57 citation statements)

References 129 publications

(172 reference statements)

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“…Thus there were 27 studies on prefrontal volume and 7 studies on cortical thickness. Six papers (Burzynska et al, 2012; Gautam et al, 2011; Gianaros et al, 2006; Gur et al, 2000; Kochunov et al, 2009; Takeuchi et al, 2013) examined two separate samples of different age or gender treated as independent sources of the effect size. Final analyses were conducted on 31 independent samples on prefrontal volume, and 10 independent samples on prefrontal gray matter thickness.…”

Section: Methodsmentioning

confidence: 99%

Prefrontal cortex and executive functions in healthy adults: A meta-analysis of structural neuroimaging studies

Peng¹,

Raz²

2014

Neuroscience & Biobehavioral Reviews

502

334

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Lesion studies link the prefrontal cortex (PFC) to executive functions. However, the evidence from in vivo investigations in healthy people is mixed, and there are no quantitative estimates of the association strength. To examine the relationship between PFC volume and cortical thickness with executive cognition in healthy adults, we conducted a meta-analysis of studies that assessed executive functions and PFC volume (31 samples,) and PFC thickness (10 samples) in vivo, N=3272 participants. We found that larger PFC volume and greater PFC thickness were associated with better executive performance. Stronger associations between executive functions and PFC volume were linked to greater variance in the sample age but was unrelated to the mean age of a sample. Strength of association between cognitive and neuroanatomical indices depended on the executive task used in the study. PFC volume correlated stronger with Wisconsin Card Sorting Test than with digit backwards span, Trail Making Test and verbal fluency. Significant effect size was observed in lateral and medial but not orbital PFC. The results support the “bigger is better” hypothesis of brain-behavior relation in healthy adults and suggest different neural correlates across the neuropsychological tests used to assess executive functions.

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Section: Methodsmentioning

confidence: 99%

Prefrontal cortex and executive functions in healthy adults: A meta-analysis of structural neuroimaging studies

Peng¹,

Raz²

2014

Neuroscience & Biobehavioral Reviews

502

334

View full text Add to dashboard Cite

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“…Searching for structural brain-behavior correlation with this approach is often performed by introducing several regressors (or predictors) in addition to the behavioral measure of interest (X) in the design matrix, such as age, gender, TBV, and a behavioral measure of general cognitive functioning (e.g. (Takeuchi et al 2010(Takeuchi et al , 2013Genon et al 2014)). …”

Section: Limitations Of the Voi Approachmentioning

confidence: 99%

Searching for behavior relating to grey matter volume in a-priori defined right dorsal premotor regions: Lessons learned

et al. 2017

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(max 250 words)Recently, we showed that the functional heterogeneity of the right dorsal premotor (PMd) cortex could be better understood by dividing it into five subregions that showed different behavioral associations according to task-based activations studies. The present study investigated whether the revealed behavioral profile could be corroborated and complemented by a structural brain behavior correlation approach in two healthy adults cohorts.Grey matter volume within the five volumes of interest (VOI-GM) was computed using voxelbased morphometry. Associations between the inter-individual differences in VOI-GM and performance across a range of neuropsychological tests were assessed in the two cohorts with and without correction for demographical variables. Additional analyses were performed in random smaller subsamples drawn from each of the two cohorts.In both cohorts, correlation coefficients were low; only few were significant and a considerable number of correlations were counterintuitive in their directions (i.e., higher performance related to lower GMV). Furthermore, correlation patterns were inconsistent between the two cohorts.Subsampling revealed that correlation patterns could vary widely across small samples and that negative correlations were as likely as positive correlations.Thus, the structural brain/behavior approach did not corroborate the functional profiles of the PMd subregions inferred from activation studies, suggesting that local recruitment by fMRI studies does not necessarily imply covariance of local structure with behavioral performance in healthy adults.We discuss the limitations of such studies and related recommendations for future studies.

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“…There is little consensus with regard to the specific regions of PFC associated with individual differences in discrete EFs and, even more basically, with regard to the direction of the relationship between neuroanatomical variables and performance on EF tasks (i.e., in some cases increases in GM morphometry or FA is predictive of better EF performance and in other cases the relationship is reversed). For example, some results regarding GM volume/density in relation to EF in healthy adults (often healthy control samples) have shown that increased GM volume/density is associated with better EF performance (Elderkin-Thompson et al 2008, 2009; Ettinger et al 2005; Gunning-Dixon and Raz 2003; Head et al 2009; Kaller et al 2012; Nakamura et al 2008; Newman et al 2007; Ruscheweyh et al 2012; Zimmerman et al 2006), while others show that decreased GM volume/density is associated with better EF performance (Duarte et al 2006; Elderkin-Thompson et al 2008, 2009; Gautam et al 2011; Kaller et al 2012; Koutsouleris et al 2010; Raz et al 1998; Salat et al 2002; Takeuchi et al 2012a, b). Though very few exist, studies examining the relationships of neuroanatomical features other than volume/density with EF in healthy adults similarly do not implicate common, overlapping regions across studies, but do converge on the general direction of neuroanatomy/EF relationships.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2014

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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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Brain structures associated with executive functions during everyday events in a non-clinical sample

Cited by 84 publications

References 129 publications

Prefrontal cortex and executive functions in healthy adults: A meta-analysis of structural neuroimaging studies

Prefrontal cortex and executive functions in healthy adults: A meta-analysis of structural neuroimaging studies

Searching for behavior relating to grey matter volume in a-priori defined right dorsal premotor regions: Lessons learned

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

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