An explorative multiverse study for extracting differences in P3 latencies between young and old adults

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
Autoren
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:001103369100001&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1111/psyp.14459
eISSN
1469-8986
Externe Identifier
  • Clarivate Analytics Document Solution ID: FA4M9
  • PubMed Identifier: 37950379
ISSN
0048-5772
Ausgabe der Veröffentlichung
2
Zeitschrift
PSYCHOPHYSIOLOGY
Schlüsselwörter
  • age
  • ERPs
  • jackknifing
  • latency
  • methods
  • multiverse analysis
  • P3
Datum der Veröffentlichung
2024
Status
Published
Titel
An explorative multiverse study for extracting differences in P3 latencies between young and old adults
Sub types
  • Article
Ausgabe der Zeitschrift
61

Datenquelle: Web of Science (Lite)

Andere Metadatenquellen:
Abstract
<jats:title>Abstract</jats:title><jats:p>It is well established that P3 latencies increase with age. Investigating these age‐related differences requires numerous methodological decisions, resulting in pipelines of great variation. The aim of the present work was to investigate the effects of different analytical pipelines on the age‐related differences in P3 latencies in real data. Therefore, we conducted an explorative multiverse study and varied the low‐pass filter (4 Hz, 8 Hz, 16 Hz, 32 Hz, and no filter), the latency type (area vs. peak), the level of event‐related potential analysis (single participant vs. jackknifing), and the extraction method (manual vs. automated). Thirty young (18–21 years) and 30 old (50–60 years) participants completed three tasks (Nback task, Switching task, Flanker task), while an EEG was recorded. The results show that different analysis strategies can have a tremendous impact on the detection and magnitude of the age effect, with effect sizes ranging from 0% to 88% explained variance. Likewise, regarding the psychometric properties of P3 latencies, we found that the reliabilities fluctuated between <jats:italic>r</jats:italic><jats:sub>tt</jats:sub> = .20 and 1.00, while the homogeneities ranged from <jats:italic>r</jats:italic><jats:sub>h</jats:sub> = −.12 to .90. Based on predefined criteria, we found that the most effective pipelines relied on a manual extraction based on a single participant's data. For peak latencies, manual extraction performed well for all filters except for 4 Hz, while for area latencies, filters above 8 Hz produced desirable results. Furthermore, our findings add to the evidence that jackknifing combined with peak latencies can lead to inconclusive results.</jats:p>
Autoren
DOI
10.1111/psyp.14459
eISSN
1469-8986
ISSN
0048-5772
Ausgabe der Veröffentlichung
2
Zeitschrift
Psychophysiology
Sprache
en
Online publication date
2023
Datum der Veröffentlichung
2024
Status
Published
Herausgeber
Wiley
Herausgeber URL
http://dx.doi.org/10.1111/psyp.14459
Datum der Datenerfassung
2024
Titel
An explorative multiverse study for extracting differences in <scp>P3</scp> latencies between young and old adults
Ausgabe der Zeitschrift
61

Datenquelle: Crossref

Abstract
It is well established that P3 latencies increase with age. Investigating these age-related differences requires numerous methodological decisions, resulting in pipelines of great variation. The aim of the present work was to investigate the effects of different analytical pipelines on the age-related differences in P3 latencies in real data. Therefore, we conducted an explorative multiverse study and varied the low-pass filter (4 Hz, 8 Hz, 16 Hz, 32 Hz, and no filter), the latency type (area vs. peak), the level of event-related potential analysis (single participant vs. jackknifing), and the extraction method (manual vs. automated). Thirty young (18-21 years) and 30 old (50-60 years) participants completed three tasks (Nback task, Switching task, Flanker task), while an EEG was recorded. The results show that different analysis strategies can have a tremendous impact on the detection and magnitude of the age effect, with effect sizes ranging from 0% to 88% explained variance. Likewise, regarding the psychometric properties of P3 latencies, we found that the reliabilities fluctuated between r<sub>tt</sub>  = .20 and 1.00, while the homogeneities ranged from r<sub>h</sub>  = -.12 to .90. Based on predefined criteria, we found that the most effective pipelines relied on a manual extraction based on a single participant's data. For peak latencies, manual extraction performed well for all filters except for 4 Hz, while for area latencies, filters above 8 Hz produced desirable results. Furthermore, our findings add to the evidence that jackknifing combined with peak latencies can lead to inconclusive results.
Addresses
  • Institute of Psychology, Heidelberg University, Heidelberg, Germany.
Autoren
DOI
10.1111/psyp.14459
eISSN
1540-5958
Externe Identifier
  • PubMed Identifier: 37950379
Funding acknowledgements
  • Deutsche Forschungsgemeinschaft: SCHU 3266/2-1
  • Deutsche Forschungsgemeinschaft: SCHU 3266/1‐1
  • 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
  • Reaction Time
  • Evoked Potentials
Sprache
eng
Medium
Print-Electronic
Online publication date
2023
Paginierung
e14459
Datum der Veröffentlichung
2024
Status
Published
Publisher licence
CC BY-NC
Datum der Datenerfassung
2023
Titel
An explorative multiverse study for extracting differences in P3 latencies between young and old adults.
Sub types
  • Journal Article
Ausgabe der Zeitschrift
61

Datenquelle: Europe PubMed Central

Abstract
It is well established that P3 latencies increase with age. Investigating these age-related differences requires numerous methodological decisions, resulting in pipelines of great variation. The aim of the present work was to investigate the effects of different analytical pipelines on the age-related differences in P3 latencies in real data. Therefore, we conducted an explorative multiverse study and varied the low-pass filter (4 Hz, 8 Hz, 16 Hz, 32 Hz, and no filter), the latency type (area vs. peak), the level of event-related potential analysis (single participant vs. jackknifing), and the extraction method (manual vs. automated). Thirty young (18-21 years) and 30 old (50-60 years) participants completed three tasks (Nback task, Switching task, Flanker task), while an EEG was recorded. The results show that different analysis strategies can have a tremendous impact on the detection and magnitude of the age effect, with effect sizes ranging from 0% to 88% explained variance. Likewise, regarding the psychometric properties of P3 latencies, we found that the reliabilities fluctuated between rtt  = .20 and 1.00, while the homogeneities ranged from rh  = -.12 to .90. Based on predefined criteria, we found that the most effective pipelines relied on a manual extraction based on a single participant's data. For peak latencies, manual extraction performed well for all filters except for 4 Hz, while for area latencies, filters above 8 Hz produced desirable results. Furthermore, our findings add to the evidence that jackknifing combined with peak latencies can lead to inconclusive results.
Date of acceptance
2023
Autoren
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/37950379
DOI
10.1111/psyp.14459
eISSN
1469-8986
Funding acknowledgements
  • Deutsche Forschungsgemeinschaft: SCHU 3266/1-1
  • Deutsche Forschungsgemeinschaft: SCHU 3266/2-1
Ausgabe der Veröffentlichung
2
Zeitschrift
Psychophysiology
Schlüsselwörter
  • ERPs
  • P3
  • age
  • jackknifing
  • latency
  • methods
  • multiverse analysis
  • Humans
  • Electroencephalography
  • Reaction Time
  • Evoked Potentials
Sprache
eng
Country
United States
Paginierung
e14459
Datum der Veröffentlichung
2024
Status
Published
Datum, an dem der Datensatz öffentlich gemacht wurde
2024
Titel
An explorative multiverse study for extracting differences in P3 latencies between young and old adults.
Sub types
  • Journal Article
Ausgabe der Zeitschrift
61

Datenquelle: PubMed

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