Ein neuer kollaborativer Ansatz für die neurowissenschaftliche EEGPersönlichkeitsforschung

Verantwortlich

Frau Jutta Stahl jutta.stahl[uk]uni-koeln.de

Weiter verantwortlich

Zeitraum

06.03.2019-06.03.2024

Förderung

Beschreibung

Linking individual differences in electrical brain activity (EEG) to personality variations provides important insights into the biological basis of individuality and constitutes a prominent approach within the field of Personality Neuroscience. Despite decades of research, the links between well-known EEG measures and personality remain poorly understood due to low reproducibility and replicability. It has become clear that low statistical power and undisclosed flexibility in data analysis are at the core of the reproducibility and replication crisis. The project aims to alleviate this unsatisfactory s.q. and provide a basis for future EEG personality neuroscience work through initial application of a novel research approach termed “collaborative forking path analysis” (cFPA). cFPA is based on (1)cooperation among research teams sharing the load of data collection for an a. p. agreed-upon, highly standardized experimental setup to achieve high statistical power and (2)conducting systematic analysis of all defensible data analysis paths identified in expert meetings. The application of the cFPA approach entails the data collection from several paradigms allowing quantification of each of the EEG measures from 360 participants distributed across 9 laboratories. This collaborative effort will allow us to (1) probe the reproducibility and replicability of prominent EEG-personality associations, (2) provide initial direct tests of potential moderators for several such associations, (3) derive estimates for inter-laboratory variability (e.g. in technical setups and laboratory personnel) on each of the EEG measures and their associations, (4) provide an investigation of the influence of analysis choices on each of the effects of interest,(5) validate novel methods for quantifying individual differences in EEG, and (6) provide easily accessible high-quality multivariate data set for further theory-based as well as more inductive EEG personality neuroscience work by researchers around the globe. Lastly, if demonstrated to be feasible in this application to a methodologically demanding field, the cFPA approach may significantly change research in Personality Neuroscience.

Description

Linking individual differences in electrical brain activity (EEG) to personality variations provides important insights into the biological basis of individuality and constitutes a prominent approach within the field of Personality Neuroscience. Despite decades of research, the links between well-known EEG measures and personality remain poorly understood due to low reproducibility and replicability. It has become clear that low statistical power and undisclosed flexibility in data analysis are at the core of the reproducibility and replication crisis. The project aims to alleviate this unsatisfactory s.q. and provide a basis for future EEG personality neuroscience work through initial application of a novel research approach termed “collaborative forking path analysis” (cFPA). cFPA is based on (1)cooperation among research teams sharing the load of data collection for an a. p. agreed-upon, highly standardized experimental setup to achieve high statistical power and (2)conducting systematic analysis of all defensible data analysis paths identified in expert meetings. The application of the cFPA approach entails the data collection from several paradigms allowing quantification of each of the EEG measures from 360 participants distributed across 9 laboratories. This collaborative effort will allow us to (1) probe the reproducibility and replicability of prominent EEG-personality associations, (2) provide initial direct tests of potential moderators for several such associations, (3) derive estimates for inter-laboratory variability (e.g. in technical setups and laboratory personnel) on each of the EEG measures and their associations, (4) provide an investigation of the influence of analysis choices on each of the effects of interest,(5) validate novel methods for quantifying individual differences in EEG, and (6) provide easily accessible high-quality multivariate data set for further theory-based as well as more inductive EEG personality neuroscience work by researchers around the globe. Lastly, if demonstrated to be feasible in this application to a methodologically demanding field, the cFPA approach may significantly change research in Personality Neuroscience.