2020
DOI: 10.1101/2020.10.26.354647
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

The Big Five personality traits and CNS arousal in the resting state

Abstract: Based on Eysenck's pioneering work, CNS arousal has long been considered an encouraging biological candidate that may explain individual differences in human personality. Yet, results from empirical studies remained inconclusive. Notably, the vast majority of published results have been derived from small samples, and EEG alpha power has usually served as exclusive indicator for CNS arousal. In this study, we selected N = 468 individuals of the LIFE-Adult cohort and investigated the associations between the Bi… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 68 publications
(97 reference statements)
0
1
0
Order By: Relevance
“…This is the logic underlying research that examines associations between personality traits and neural indices derived from resting state data, as a tool for exploring the biological basis of individual differences. Studies in this area have yielded several promising findings, ranging from machine learning prediction of personality traits from neural activity at rest (e.g., Hsu et al, 2018;Jach et al, 2020;Li et al, 2022), to tests of theories within personality neuroscience, such as those linking Extraversion with resting measures of cortical arousal (Jawinski et al, 2021) or Openness with efficiency of the Default Network (Beaty et al, 2016). This field is however still a nascent and fragmented area of research.…”
Section: Introductionmentioning
confidence: 99%
“…This is the logic underlying research that examines associations between personality traits and neural indices derived from resting state data, as a tool for exploring the biological basis of individual differences. Studies in this area have yielded several promising findings, ranging from machine learning prediction of personality traits from neural activity at rest (e.g., Hsu et al, 2018;Jach et al, 2020;Li et al, 2022), to tests of theories within personality neuroscience, such as those linking Extraversion with resting measures of cortical arousal (Jawinski et al, 2021) or Openness with efficiency of the Default Network (Beaty et al, 2016). This field is however still a nascent and fragmented area of research.…”
Section: Introductionmentioning
confidence: 99%