Executive functions cannot be distinguished from general intelligence: Two variations on a single theme within a symphony of latent variance
The empirical foundation of executive control function (ECF) remains controversial. We have employed structural equation models (SEM) to explicitly distinguish domain-specific variance in ECF performance from memory (MEM) and shared cognitive performance variance, i.e., Spearman’s g. ECF does not su...
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Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnbeh.2014.00369/full |
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doaj-05d3a4f8907a4d9ca1f974ab7375f5272020-11-24T23:55:13ZengFrontiers Media S.A.Frontiers in Behavioral Neuroscience1662-51532014-10-01810.3389/fnbeh.2014.0036982382Executive functions cannot be distinguished from general intelligence: Two variations on a single theme within a symphony of latent varianceDonald R Royall0Donald R Royall1Donald R Royall2Donald R Royall3Raymond F. Palmer4The University of Texas Health Science Center at San AntonioThe University of Texas Health Science Center at San AntonioThe University of Texas Health Science Center at San AntonioSouth Texas Veterans’ Health System Audie L. Murphy DivisionThe University of Texas Health Science Center at San AntonioThe empirical foundation of executive control function (ECF) remains controversial. We have employed structural equation models (SEM) to explicitly distinguish domain-specific variance in ECF performance from memory (MEM) and shared cognitive performance variance, i.e., Spearman’s g. ECF does not survive adjustment for both MEM and g in a well fitting model of data obtained from non-demented older persons (N = 193). Instead, the variance in putative ECF measures is attributable only to g, and related to functional status only through a fraction of that construct (i.e., dECF). dECF is a homolog of the latent variable δ, which we have previously associated specifically with the Default Mode Network (DMN). These findings undermine the validity of ECF and its putative association with the frontal lobe. ECF may have no existence independent of general intelligence, and no functionally salient association with the frontal lobe outside of that structure’s contribution to the DMN.http://journal.frontiersin.org/Journal/10.3389/fnbeh.2014.00369/fullAgingCognitionDementiaExecutive FunctionIntelligenceG |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Donald R Royall Donald R Royall Donald R Royall Donald R Royall Raymond F. Palmer |
spellingShingle |
Donald R Royall Donald R Royall Donald R Royall Donald R Royall Raymond F. Palmer Executive functions cannot be distinguished from general intelligence: Two variations on a single theme within a symphony of latent variance Frontiers in Behavioral Neuroscience Aging Cognition Dementia Executive Function Intelligence G |
author_facet |
Donald R Royall Donald R Royall Donald R Royall Donald R Royall Raymond F. Palmer |
author_sort |
Donald R Royall |
title |
Executive functions cannot be distinguished from general intelligence: Two variations on a single theme within a symphony of latent variance |
title_short |
Executive functions cannot be distinguished from general intelligence: Two variations on a single theme within a symphony of latent variance |
title_full |
Executive functions cannot be distinguished from general intelligence: Two variations on a single theme within a symphony of latent variance |
title_fullStr |
Executive functions cannot be distinguished from general intelligence: Two variations on a single theme within a symphony of latent variance |
title_full_unstemmed |
Executive functions cannot be distinguished from general intelligence: Two variations on a single theme within a symphony of latent variance |
title_sort |
executive functions cannot be distinguished from general intelligence: two variations on a single theme within a symphony of latent variance |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Behavioral Neuroscience |
issn |
1662-5153 |
publishDate |
2014-10-01 |
description |
The empirical foundation of executive control function (ECF) remains controversial. We have employed structural equation models (SEM) to explicitly distinguish domain-specific variance in ECF performance from memory (MEM) and shared cognitive performance variance, i.e., Spearman’s g. ECF does not survive adjustment for both MEM and g in a well fitting model of data obtained from non-demented older persons (N = 193). Instead, the variance in putative ECF measures is attributable only to g, and related to functional status only through a fraction of that construct (i.e., dECF). dECF is a homolog of the latent variable δ, which we have previously associated specifically with the Default Mode Network (DMN). These findings undermine the validity of ECF and its putative association with the frontal lobe. ECF may have no existence independent of general intelligence, and no functionally salient association with the frontal lobe outside of that structure’s contribution to the DMN. |
topic |
Aging Cognition Dementia Executive Function Intelligence G |
url |
http://journal.frontiersin.org/Journal/10.3389/fnbeh.2014.00369/full |
work_keys_str_mv |
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