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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Main Authors: Donald R Royall, Raymond F. Palmer
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-10-01
Series:Frontiers in Behavioral Neuroscience
Subjects:
G
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnbeh.2014.00369/full
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spelling 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
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