How robust is the relationship between neural processing speed and cognitive abilities?

Publication type:
Journal article
Metadata:
Autoren
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000843572600001&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1111/psyp.14165
eISSN
1469-8986
Externe Identifier
  • Clarivate Analytics Document Solution ID: 7L2ZP
  • PubMed Identifier: 35995756
ISSN
0048-5772
Ausgabe der Veröffentlichung
2
Zeitschrift
PSYCHOPHYSIOLOGY
Schlüsselwörter
  • cognitive abilities
  • EEG
  • ERP latencies
  • intelligence
  • multiverse analyses
  • replication
Artikelnummer
ARTN e14165
Datum der Veröffentlichung
2023
Status
Published
Titel
How robust is the relationship between neural processing speed and cognitive abilities?
Sub types
  • Article
Ausgabe der Zeitschrift
60

Data source: Web of Science (Lite)

Other metadata sources:
Abstract
<jats:title>Abstract</jats:title><jats:p>Individual differences in processing speed are consistently related to individual differences in cognitive abilities, but the mechanisms through which a higher processing speed facilitates reasoning remain largely unknown. To identify these mechanisms, researchers have been using latencies of the event‐related potential (ERP) to study how the speed of cognitive processes associated with specific ERP components is related to cognitive abilities. Although there is some evidence that latencies of ERP components associated with higher‐order cognitive processes are related to intelligence, results are overall quite inconsistent. These inconsistencies likely result from variations in analytic procedures and little consideration of the psychometric properties of ERP latencies in relatively small sample studies. Here we used a multiverse approach to evaluate how different analytical choices regarding references, low‐pass filter cutoffs, and latency measures affect the psychometric properties of P2, N2, and P3 latencies and their relations with cognitive abilities in a sample of 148 participants. Latent correlations between neural processing speed and cognitive abilities ranged from −.49 to −.78. ERP latency measures contained about equal parts of measurement error variance and systematic variance, and only about half of the systematic variance was related to cognitive abilities, whereas the other half reflected nuisance factors. We recommend addressing these problematic psychometric properties by recording EEG data from multiple tasks and modeling relations between ERP latencies and covariates in latent variable models. All in all, our results indicate that there is a substantial and robust relationship between neural processing speed and cognitive abilities when those issues are addressed.</jats:p>
Autoren
DOI
10.1111/psyp.14165
eISSN
1469-8986
ISSN
0048-5772
Ausgabe der Veröffentlichung
2
Zeitschrift
Psychophysiology
Sprache
en
Online publication date
2022
Datum der Veröffentlichung
2023
Status
Published
Herausgeber
Wiley
Herausgeber URL
http://dx.doi.org/10.1111/psyp.14165
Datum der Datenerfassung
2023
Titel
How robust is the relationship between neural processing speed and cognitive abilities?
Ausgabe der Zeitschrift
60

Data source: Crossref

Abstract
Individual differences in processing speed are consistently related to individual differences in cognitive abilities, but the mechanisms through which a higher processing speed facilitates reasoning remain largely unknown. To identify these mechanisms, researchers have been using latencies of the event-related potential (ERP) to study how the speed of cognitive processes associated with specific ERP components is related to cognitive abilities. Although there is some evidence that latencies of ERP components associated with higher-order cognitive processes are related to intelligence, results are overall quite inconsistent. These inconsistencies likely result from variations in analytic procedures and little consideration of the psychometric properties of ERP latencies in relatively small sample studies. Here we used a multiverse approach to evaluate how different analytical choices regarding references, low-pass filter cutoffs, and latency measures affect the psychometric properties of P2, N2, and P3 latencies and their relations with cognitive abilities in a sample of 148 participants. Latent correlations between neural processing speed and cognitive abilities ranged from -.49 to -.78. ERP latency measures contained about equal parts of measurement error variance and systematic variance, and only about half of the systematic variance was related to cognitive abilities, whereas the other half reflected nuisance factors. We recommend addressing these problematic psychometric properties by recording EEG data from multiple tasks and modeling relations between ERP latencies and covariates in latent variable models. All in all, our results indicate that there is a substantial and robust relationship between neural processing speed and cognitive abilities when those issues are addressed.
Addresses
  • Department of Psychology, University of Mainz, Mainz, Germany.
Autoren
DOI
10.1111/psyp.14165
eISSN
1540-5958
Externe Identifier
  • PubMed Identifier: 35995756
Funding acknowledgements
  • Deutsche Forschungsgemeinschaft: SCHU 3266/2–1
  • Deutsche Forschungsgemeinschaft: SCHU 3266/1–1
Open access
false
ISSN
0048-5772
Ausgabe der Veröffentlichung
2
Zeitschrift
Psychophysiology
Schlüsselwörter
  • Humans
  • Electroencephalography
  • Intelligence
  • Cognition
  • Reaction Time
  • Evoked Potentials
  • Processing Speed
Sprache
eng
Medium
Print-Electronic
Online publication date
2022
Paginierung
e14165
Datum der Veröffentlichung
2023
Status
Published
Publisher licence
CC BY-NC
Datum der Datenerfassung
2022
Titel
How robust is the relationship between neural processing speed and cognitive abilities?
Sub types
  • Research Support, Non-U.S. Gov't
  • Journal Article
Ausgabe der Zeitschrift
60

Data source: Europe PubMed Central

Abstract
Individual differences in processing speed are consistently related to individual differences in cognitive abilities, but the mechanisms through which a higher processing speed facilitates reasoning remain largely unknown. To identify these mechanisms, researchers have been using latencies of the event-related potential (ERP) to study how the speed of cognitive processes associated with specific ERP components is related to cognitive abilities. Although there is some evidence that latencies of ERP components associated with higher-order cognitive processes are related to intelligence, results are overall quite inconsistent. These inconsistencies likely result from variations in analytic procedures and little consideration of the psychometric properties of ERP latencies in relatively small sample studies. Here we used a multiverse approach to evaluate how different analytical choices regarding references, low-pass filter cutoffs, and latency measures affect the psychometric properties of P2, N2, and P3 latencies and their relations with cognitive abilities in a sample of 148 participants. Latent correlations between neural processing speed and cognitive abilities ranged from -.49 to -.78. ERP latency measures contained about equal parts of measurement error variance and systematic variance, and only about half of the systematic variance was related to cognitive abilities, whereas the other half reflected nuisance factors. We recommend addressing these problematic psychometric properties by recording EEG data from multiple tasks and modeling relations between ERP latencies and covariates in latent variable models. All in all, our results indicate that there is a substantial and robust relationship between neural processing speed and cognitive abilities when those issues are addressed.
Date of acceptance
2022
Autoren
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/35995756
DOI
10.1111/psyp.14165
eISSN
1469-8986
Ausgabe der Veröffentlichung
2
Zeitschrift
Psychophysiology
Schlüsselwörter
  • EEG
  • ERP latencies
  • cognitive abilities
  • intelligence
  • multiverse analyses
  • replication
  • Humans
  • Processing Speed
  • Reaction Time
  • Cognition
  • Evoked Potentials
  • Intelligence
  • Electroencephalography
Sprache
eng
Country
United States
Paginierung
e14165
Datum der Veröffentlichung
2023
Status
Published
Datum, an dem der Datensatz öffentlich gemacht wurde
2023
Titel
How robust is the relationship between neural processing speed and cognitive abilities?
Sub types
  • Journal Article
  • Research Support, Non-U.S. Gov't
Ausgabe der Zeitschrift
60

Data source: PubMed

Author's licence
CC-BY-NC
Autoren
Hosting institution
Universitätsbibliothek Mainz
Sammlungen
  • DFG-491381577-H
Resource version
Published version
DOI
10.1111/psyp.14165
Funding acknowledgements
  • Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491381577
File(s) embargoed
false
Open access
true
ISSN
1469-8986
Ausgabe der Veröffentlichung
2
Zeitschrift
Psychophysiology
Schlüsselwörter
  • 150 Psychologie
  • 150 Psychology
Sprache
eng
Open access status
Open Access
Paginierung
e14165
Datum der Veröffentlichung
2022
Public URL
https://openscience.ub.uni-mainz.de/handle/20.500.12030/8713
Herausgeber
Wiley-Blackwell
Datum der Datenerfassung
2023
Datum, an dem der Datensatz öffentlich gemacht wurde
2023
Zugang
Public
Titel
How robust is the relationship between neural processing speed and cognitive abilities?
Ausgabe der Zeitschrift
60

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