The temporal dynamics of the Stroop effect from childhood to young and older adulthood.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 22 07 2021
accepted: 20 12 2022
medline: 3 4 2023
entrez: 30 3 2023
pubmed: 31 3 2023
Statut: epublish

Résumé

The processes involved in the Stroop task/effect are thought to involve conflict detection and resolution stages. Little is known about the evolution of these two components over the lifespan. It is well admitted that children and older adults tend to show longer response latencies than young adults. The present study aims at clarifying the rational of such changes from childhood to adulthood and in aging by comparing the impacted cognitive processes across age groups. More precisely, the aim was to clarify if all processes take more time to be executed, hence implying that longer latencies rely mainly on processing speed or if an additional process lengthens the resolution of the conflict in children and/or older adults. To this aim we recorded brain electrical activity using EEG in school-age children, young and older adults while they performed a classic verbal Stroop task. The signal was decomposed in microstate brain networks, and age groups and conditions were compared. Behavioral results evolved following an inverted U-shaped curve. In children, different brain states from the ones observed in adults were highlighted, both in the conflict detection and resolution time-windows. Longer latencies in the incongruent condition were mainly attributed to an overly increased duration of the microstates involved in the conflict resolution time window. In aging, the same microstate maps were reported for both young and older adult groups. The differences in performances between groups could be explained by a disproportionally long conflict detection phase, even compressing the latest stage of response articulation. These results tend to favor a specific immaturity of the brain networks involved coupled with a slowing of the processes in children, while cognitive decline could be mostly explained by a general slowing.

Identifiants

pubmed: 36996048
doi: 10.1371/journal.pone.0256003
pii: PONE-D-21-23665
pmc: PMC10062650
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0256003

Informations de copyright

Copyright: © 2023 Ménétré, Laganaro. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

Hum Brain Mapp. 2019 Jan;40(1):80-97
pubmed: 30259592
News Physiol Sci. 1999 Oct;14:206-214
pubmed: 11390852
Brain Res. 2010 Apr 14;1325:63-76
pubmed: 20153298
Biometrics. 1996 Sep;52(3):797-810
pubmed: 8805757
Int J Psychophysiol. 1994 Oct;18(1):49-65
pubmed: 7876038
Hum Brain Mapp. 2001 Aug;13(4):199-212
pubmed: 11410949
Brain Res. 2009 Feb 9;1253:139-48
pubmed: 19084509
Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2006 Sep-Dec;13(3-4):588-610
pubmed: 16887791
Int J Neurosci. 1994 Jan-Feb;74(1-4):239-48
pubmed: 7928108
Mem Cognit. 2003 Apr;31(3):353-9
pubmed: 12795477
Trends Cogn Sci. 2006 Mar;10(3):131-8
pubmed: 16460992
Neuropsychologia. 2006;44(11):2149-57
pubmed: 16303150
Neuroimage. 2011 Jul 15;57(2):303-11
pubmed: 21168515
Dev Neuropsychol. 2008;33(2):101-23
pubmed: 18443972
Psychol Aging. 2013 Sep;28(3):744-53
pubmed: 23834491
Psychol Bull. 1991 Mar;109(2):163-203
pubmed: 2034749
Cortex. 2013 Nov-Dec;49(10):2888-903
pubmed: 24134924
J Clin Neurophysiol. 1999 May;16(3):239-66
pubmed: 10426407
Behav Res Methods. 2007 Nov;39(4):859-62
pubmed: 18183901
Brain Res Cogn Brain Res. 1999 Jul 16;8(2):157-64
pubmed: 10407204
Psychol Res. 2009 Nov;73(6):777-85
pubmed: 19023594
Science. 1981 Nov 20;214(4523):938-40
pubmed: 7302571
Neuron. 2008 Mar 27;57(6):827-33
pubmed: 18367084
Brain Topogr. 2016 Nov;29(6):791-813
pubmed: 27509898
Front Psychol. 2019 Sep 06;10:2028
pubmed: 31551876
Neuropsychologia. 2000;38(5):701-11
pubmed: 10689046
Neurology. 2001 Jul 10;57(1):47-54
pubmed: 11445627
Conscious Cogn. 2014 Nov;30:13-23
pubmed: 25129036
J Cogn Neurosci. 2008 Feb;20(2):215-25
pubmed: 18275330
J Exp Psychol Gen. 2019 Sep;148(9):1575-1594
pubmed: 30730196
Psychophysiology. 2020 Jul;57(7):e13346
pubmed: 30793775
J Genet Psychol. 1962 Mar;100:47-53
pubmed: 13880724
J Clin Psychol. 1984 Sep;40(5):1244-50
pubmed: 6490922
Dev Cogn Neurosci. 2018 Jun;31:58-66
pubmed: 29742488
Dev Psychol. 1999 Jan;35(1):205-13
pubmed: 9923475
Acta Psychol (Amst). 2014 Nov;153:169-78
pubmed: 25463558
Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2007 Mar;14(2):155-67
pubmed: 17364378
Brain Topogr. 2015 Jan;28(1):95-103
pubmed: 24752907
Psychol Rev. 1996 Jul;103(3):403-28
pubmed: 8759042
Neurobiol Aging. 2013 Sep;34(9):2183-93
pubmed: 23591131
Psychophysiology. 2000 Mar;37(2):179-89
pubmed: 10731768
Comput Intell Neurosci. 2011;2011:813870
pubmed: 21253358
Dev Neuropsychol. 2012;37(4):343-57
pubmed: 22612546
Neuroimage. 2012 Aug 15;62(2):816-47
pubmed: 22584224
Brain Topogr. 2014 Jan;27(1):72-83
pubmed: 23990321
J Clin Exp Neuropsychol. 1997 Jun;19(3):405-20
pubmed: 9268815
Neurophysiol Clin. 1998 Jun;28(3):207-20
pubmed: 9686397
Psychophysiology. 2018 Feb;55(2):
pubmed: 28850684
Neurosci Lett. 2002 Dec 6;334(1):9-12
pubmed: 12431763
Brain Res Cogn Brain Res. 2004 Feb;18(3):278-87
pubmed: 14741314
Int J Neurosci. 1997 Sep;91(1-2):85-94
pubmed: 9394217
Neuropsychologia. 1971 Mar;9(1):97-113
pubmed: 5146491
Psychol Rev. 1990 Oct;97(4):475-87
pubmed: 2247538
Neuroimage. 2005 Sep;27(3):497-504
pubmed: 15964208
Neuroimage. 2020 Feb 15;207:116430
pubmed: 31805383
Front Psychol. 2011 Oct 12;2:255
pubmed: 22016740
Comput Intell Neurosci. 2011;2011:938925
pubmed: 21403863
Neurobiol Aging. 2007 Dec;28(12):1925-35
pubmed: 16973245
Sci Rep. 2019 Mar 6;9(1):3667
pubmed: 30842528
J Cogn Neurosci. 1999 May;11(3):235-60
pubmed: 10402254
Psychon Bull Rev. 2018 Oct;25(5):1695-1716
pubmed: 29019064
Neurology. 1978 Apr;28(4):311-24
pubmed: 565019
IEEE Trans Biomed Eng. 1987 Apr;34(4):283-8
pubmed: 3504202
J Cogn Neurosci. 2000 Nov;12(6):988-1000
pubmed: 11177419
Psychol Rev. 2001 Jul;108(3):624-52
pubmed: 11488380
Neurobiol Lang (Camb). 2020 Nov 01;2(1):1-21
pubmed: 37213419
Brain Res. 2011 Sep 21;1413:51-9
pubmed: 21840503
Psychon Bull Rev. 2018 Apr;25(2):767-774
pubmed: 29372512
Dev Psychol. 2016 Feb;52(2):242-52
pubmed: 26595353
Psychol Bull. 1996 Sep;120(2):272-92
pubmed: 8831298
Int J Neurosci. 2004 Oct;114(10):1291-311
pubmed: 15370187
Brain Topogr. 2008 Jun;20(4):249-64
pubmed: 18347966
Front Neurosci. 2018 Jun 19;12:355
pubmed: 29973861
J Cogn Neurosci. 2004 Jan-Feb;16(1):103-13
pubmed: 15006040
Perspect Psychol Sci. 2019 Jul;14(4):523-542
pubmed: 31013206
BMC Neurosci. 2008 Sep 05;9:82
pubmed: 18775060
Neuroreport. 2000 Jun 26;11(9):1849-55
pubmed: 10884031

Auteurs

Eric Ménétré (E)

Laboratory of NeuroPsychoLinguistic, Faculty of Psychology and Educational Sciences, University of Geneva, Switzerland.

Marina Laganaro (M)

Laboratory of NeuroPsychoLinguistic, Faculty of Psychology and Educational Sciences, University of Geneva, Switzerland.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH