A PHP Error was encountered

Severity: Warning

Message: fopen(/var/lib/php/sessions/ci_session7kr3hjrt9ke3kfg5ivubmk1t4toc1d3i): Failed to open stream: No space left on device

Filename: drivers/Session_files_driver.php

Line Number: 177

Backtrace:

File: /var/www/html/index.php
Line: 316
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: session_start(): Failed to read session data: user (path: /var/lib/php/sessions)

Filename: Session/Session.php

Line Number: 137

Backtrace:

File: /var/www/html/index.php
Line: 316
Function: require_once

Structural correlates of Openness and Intellect: Implications for the contribution of personality to creativity. | LitMetric

AI Article Synopsis

  • Openness/Intellect, part of the Big Five personality traits, is linked to creativity, showing that it has two components: Intellect (perceived intelligence) and Openness (engagement with imagination and aesthetics).
  • A study involving 185 participants found that higher Openness correlates with thinner cortical areas in several brain regions, including the left middle frontal gyrus and middle temporal gyrus, suggesting a relationship between personality and brain structure.
  • The research indicates that Openness affects brain characteristics more than Intellect, particularly in areas important for memory and cognitive control, highlighting how personality influences creative thinking.

Article Abstract

Openness/Intellect (i.e., openness to experience) is the Big Five personality factor most consistently associated with individual differences in creativity. Recent psychometric evidence has demonstrated that this factor consists of two distinct aspects-Intellect and Openness. Whereas Intellect reflects perceived intelligence and intellectual engagement, Openness reflects engagement with fantasy, perception, and aesthetics. We investigated the extent to which Openness and Intellect are associated with variations in brain structure as measured by cortical thickness, area, and volume (N = 185). Our results demonstrated that Openness was correlated inversely with cortical thickness and volume in left middle frontal gyrus (BA 6), middle temporal gyrus (MTG, BA 21), and superior temporal gyrus (BA 41), and exclusively with cortical thickness in left inferior parietal lobule (BA 40), right inferior frontal gyrus (IFG, BA 45), and MTG (BA 37). When age and sex were statistically controlled for, the inverse correlations between Openness and cortical thickness remained statistically significant for all regions except left MTG, whereas the correlations involving cortical volume remained statistically significant only for left middle frontal gyrus. There was no statistically significant correlation between Openness and cortical area, and no statistically significant correlation between Intellect and cortical thickness, area, or volume. Our results demonstrate that individual differences in Openness are correlated with variation in brain structure-particularly as indexed by cortical thickness. Given the involvement of the above regions in processes related to memory and cognitive control, we discuss the implications of our findings for the possible contribution of personality to creative cognition.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6866609PMC
http://dx.doi.org/10.1002/hbm.24054DOI Listing

Publication Analysis

Top Keywords

cortical thickness
24
openness intellect
12
frontal gyrus
12
openness
9
contribution personality
8
individual differences
8
cortical
8
thickness area
8
area volume
8
openness correlated
8

Similar Publications

Background And Purpose: The magnetic resonance images (MRIs) ability of lesion detection in epilepsy is crucial for a diagnosis and surgical outcome. Using automated artificial intelligence (AI)-based tools for measuring cortical thickness and brain volume originally developed for dementia, we aimed to identify whether it could lateralize epilepsy with normal MRIs.

Methods: Non-lesional 3-Tesla MRIs of 428 patients diagnosed with focal epilepsy, based on semiology and electroencephalography findings, were analyzed.

View Article and Find Full Text PDF

Focal cortical dysplasias (FCDs) are local malformations of the human neocortex and a leading cause of intractable epilepsy. FCDs are classified into different subtypes including FCD IIa and IIb, characterized by a blurred gray-white matter boundary or a transmantle sign indicating abnormal white matter myelination. Recently, we have shown that myelination is also compromised in the gray matter of FCD IIa of the temporal lobe.

View Article and Find Full Text PDF

Lifetime depression, sleep disruption and brain structure in the UK Biobank cohort.

J Affect Disord

December 2024

School of Health and Wellbeing, University of Glasgow, Glasgow, UK; Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.

Whether depression and poor sleep interact or have statistically independent associations with brain structure and its change over time is not known. Within a subset of UK Biobank participants with neuroimaging and subjective and/or objective sleep data (n = 28,351), we examined associations between lifetime depression and sleep disruption and their interaction with structural neuroimaging measures, both cross-sectionally and longitudinally. Sleep variables were: self-reported insomnia and difficulty getting up; actigraphy-derived short sleep (<7 h); sustained inactivity bouts during daytime (SIBD); and sleep efficiency.

View Article and Find Full Text PDF

Introduction And Objectives: Isolated hypogonadotropic hypogonadism (IHH) may be associated with pituitary gland and olfactory system disorders. We aimed to correlate findings of Magnetic Resonance Imaging (MRI) of the pituitary gland and olfactory system in IHH patients with the patients' olfactory phenotype.

Patients And Methods: The present research was a single-center retrospective case-control study.

View Article and Find Full Text PDF

Aim: To describe the cortical brain development and full-IQ performance in middle school age children after extremely preterm (EPT) birth considering discrete white matter abnormalities (WMA). In addition, to assess possible early motor predictors of cortical brain development and full-IQ in children born EPT with and without discrete WMA diagnosed at 10 years.

Methods: T1-weighted MRI images from fifty-one children born before 27 weeks' gestation and 40 full-term born controls (M=10.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!