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Gray and white matter correlates of the Big Five personality traits

Published on May 1, 2017in Neuroscience3.24
· DOI :10.1016/j.neuroscience.2017.02.039
Jesús Privado8
Estimated H-index: 8
(Complutense University of Madrid),
Francisco J. Román13
Estimated H-index: 13
(UAM: Autonomous University of Madrid)
+ 2 AuthorsRoberto Colom Marañón42
Estimated H-index: 42
(UAM: Autonomous University of Madrid)
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Abstract
Abstract Personality neuroscience defines the scientific study of the neurobiological basis of personality. This field assumes that individual differences in personality traits are related with structural and functional variations of the human brain. Gray and white matters are structural properties considered separately in previous research. Available findings in this regard are largely disparate. Here we analyze the relationships between gray matter (cortical thickness (CT), cortical surface area (CSA), and cortical volume) and integrity scores obtained after several white matter tracts connecting different brain regions, with individual differences in the personality traits comprised by the Five-Factor Model (extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience). These psychological and biological data were obtained from young healthy women. The main findings showed statistically significant associations between occipital CSA variations and extraversion, as well as between parietal CT variations and neuroticism. Regarding white matter integrity, openness showed positive correlations with tracts connecting posterior and anterior brain regions. Therefore, variations in discrete gray matter clusters were associated with temperamental traits (extraversion and neuroticism), whereas long-distance structural connections were related with the dimension of personality that has been associated with high-level cognitive processes (openness).
  • References (51)
  • Citations (9)
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References51
Newest
Published on Jan 24, 2017in Social Cognitive and Affective Neuroscience3.66
Roberta Riccelli8
Estimated H-index: 8
,
Nicola Toschi25
Estimated H-index: 25
(Harvard University)
+ 2 AuthorsLuca Passamonti26
Estimated H-index: 26
(University of Cambridge)
R.R. was funded by the University ‘Magna Graecia’ of Catanzaro, while L.P. was funded by the Italian National Research Council and the University of Cambridge. AT was funded by the National Institute on Aging (NIA), National Institutes of Health (NIH; 1R03AG051960-01) and by the Florida Department of Health ‘Ed and Ethel Moore Alzheimer’s Disease Research Program’ (6AZ09). Data were provided by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil U...
Published on Dec 28, 2016
Richard J. Haier48
Estimated H-index: 48
(UCI: University of California, Irvine)
Published on Jan 1, 2016in Intelligence2.61
José Ángel Pineda-Pardo12
Estimated H-index: 12
(CEU San Pablo University),
Kenia Martínez14
Estimated H-index: 14
(UAM: Autonomous University of Madrid)
+ 1 AuthorsRoberto Colom Marañón42
Estimated H-index: 42
(UAM: Autonomous University of Madrid)
Abstract Here we compute the association between cognitive differences and variations in brain efficiency within a predefined structural network. The regions comprised by the network of interest were selected according to the parieto-frontal integration theory (P-FIT) (Jung & Haier, 2007). Local and global efficiency was quantified for this network. The former reflects specialization within the network, whereas the latter benefits long-distance interactions and reflects integration over the whol...
Published on Jun 1, 2015in Cerebral Cortex5.44
Hugo G. Schnack52
Estimated H-index: 52
,
Nem van Haren50
Estimated H-index: 50
+ 5 AuthorsHilleke E. Hulshoff Pol68
Estimated H-index: 68
Changes in cortical thickness over time have been related to intelligence, but whether changes in cortical surface area are related to general cognitive functioning is unknown. We therefore examined the relationship between intelligence quotient (IQ) and changes in cortical thickness and surface over time in 504 healthy subjects. At 10 years of age, more intelligent children have a slightly thinner cortex than children with a lower IQ. This relationship becomes more pronounced with increasing ag...
Published on Feb 13, 2015in Frontiers in Human Neuroscience2.87
Kristjan Korjus3
Estimated H-index: 3
(UT: University of Tartu),
Andero Uusberg6
Estimated H-index: 6
(UT: University of Tartu)
+ 5 AuthorsJaan Aru5
Estimated H-index: 5
(UT: University of Tartu)
In the present study we asked whether it is possible to decode personality traits from resting state EEG data. EEG was recorded from a large sample of subjects (n=289) who had answered questionnaires measuring personality trait scores of the 5 dimensions as well as the 10 subordinate aspects of the Big Five. Machine learning algorithms were used to build a classifier to predict each personality trait from power spectra of the resting state EEG data. The results indicate that the five dimensions ...
Published on Jan 1, 2014in Health Psychology3.53
Tom Booth13
Estimated H-index: 13
(Edin.: University of Edinburgh),
René Mõttus15
Estimated H-index: 15
(UT: University of Tartu)
+ 12 AuthorsMaria del C. Valdés Hernández31
Estimated H-index: 31
(Edin.: University of Edinburgh)
Published on Dec 1, 2013in NeuroImage5.81
Judit Haász5
Estimated H-index: 5
(University of Bergen),
Erling Tjelta Westlye3
Estimated H-index: 3
(University of Bergen)
+ 3 AuthorsAstri J. Lundervold41
Estimated H-index: 41
(University of Bergen)
Abstract General fluid-type intelligence ( g F) reflects abstract reasoning and problem solving abilities, and is an important predictor for lifetime trajectories of cognition, and physical and mental health. Structural and functional neuroimaging studies have demonstrated the role of parieto-frontal gray matter, but the white matter (WM) underpinnings of g F and the contribution of individual g F components to g F–WM relationship still need to be explored. The aim of this study was to character...
Published on Nov 27, 2013in PLOS ONE2.78
Stefan Koelsch23
Estimated H-index: 23
(FU: Free University of Berlin),
Stavros Skouras5
Estimated H-index: 5
(FU: Free University of Berlin),
Sebastian Jentschke17
Estimated H-index: 17
(FU: Free University of Berlin)
Studies addressing brain correlates of emotional personality have remained sparse, despite the involvement of emotional personality in health and well-being. This study investigates structural and functional brain correlates of psychological and physiological measures related to emotional personality. Psychological measures included neuroticism, extraversion, and agreeableness scores, as assessed using a standard personality questionnaire. As a physiological measure we used a cardiac amplitude s...
Published on Nov 1, 2013in Human Brain Mapping4.55
Dimitrios Kapogiannis26
Estimated H-index: 26
(NIH: National Institutes of Health),
Angelina R. Sutin37
Estimated H-index: 37
(NIH: National Institutes of Health)
+ 2 AuthorsSusan M. Resnick70
Estimated H-index: 70
(NIH: National Institutes of Health)
Although personality changes have been associated with brain lesions and atrophy caused by neurodegenerative diseases and aging, neuroanatomical correlates of personality in healthy individuals and their stability over time have received relatively little investigation. In this study, we explored regional gray matter (GM) volumetric associations of the five-factor model of personality. Eighty-seven healthy older adults took the NEO Personality Inventory and had brain MRI at two time points 2 yea...
Cited By9
Newest
Published in Scientific Reports4.01
Song Wang7
Estimated H-index: 7
(Sichuan University),
Yajun Zhao4
Estimated H-index: 4
(MUC: Minzu University of China)
+ -3 AuthorsQiyong Gong53
Estimated H-index: 53
(Sichuan University)
In the long history of identifying factors to predict academic performance, conscientiousness, a so-called ‘big five’ personality trait describing self-regulation and goal-directed behavior, has emerged as a stable predictor for this purpose. However, the neuroanatomical substrates of trait conscientiousness and the underlying brain mechanism linking trait conscientiousness and academic performance are still largely unknown. Here, we examined these issues in 148 high school students within the s...
Published on Jun 1, 2019in Current opinion in behavioral sciences
Rex E. Jung1
Estimated H-index: 1
(UNM: University of New Mexico),
Muhammad Omar Chohan12
Estimated H-index: 12
(UNM: University of New Mexico)
The study of human individual differences has matured significantly, in the last decade or so owing, in part, to the notable advances in neuroimaging techniques. There are three major domains of inquiry within individual differences research: personality, creativity, and intelligence. Each has a discrete, testable definition (a new definition for intelligence is offered: rapid and accurate problem solving ), and each has been associated with distinct brain regions and interactive networks. Here,...
Published on May 20, 2019in bioRxiv
Ashvanti Valji1
Estimated H-index: 1
(Cardiff University),
Alisa Priemysheva (Cardiff University)+ 5 AuthorsMatthias J. Gruber5
Estimated H-index: 5
(Cardiff University)
Across the lifespan, curiosity motivates us to learn, yet curiosity varies strikingly between individuals. Such individual differences have been shown for two distinct dimensions of curiosity: epistemic curiosity (EC), the desire to acquire conceptual knowledge, and perceptual curiosity (PC), the desire for sensory information. It is not known, however, whether both dimensions of curiosity depend on different brain networks and whether inter-individual differences in curiosity depend on variatio...
Published on Apr 3, 2019in Psychophysiology3.38
Lauren Delaparte4
Estimated H-index: 4
(SBU: Stony Brook University),
Elizabeth Bartlett2
Estimated H-index: 2
(SBU: Stony Brook University)
+ 5 AuthorsRoman Kotov36
Estimated H-index: 36
(SBU: Stony Brook University)
Published on Apr 1, 2019in Psychiatry Research-neuroimaging2.21
Melissa Sweeney (Columbia University), Angeliki Tsapanou4
Estimated H-index: 4
(Columbia University),
Yaakov Stern125
Estimated H-index: 125
(Columbia University)
Abstract Neuroticism is associated with greater reactivity to stress and lifetime psychopathology. In the present study we examined the association between neuroticism and regional and total cortical thickness (CT) across the lifespan, accounting for gender. We also assessed interactions among these factors. 450 subjects between 19 and 80 years were included. Participants completed the International Personality Item Pool and a structural MRI scan. Total CT and the mean values of CT in five regio...
Published on Jan 8, 2019in Frontiers in Psychology2.13
Cristelle Rodriguez10
Estimated H-index: 10
,
Akshay Kumar Jagadish + 4 AuthorsPanteleimon Giannakopoulos55
Estimated H-index: 55
The revised NEO Personality Inventory (NEOPI-R), popularly known as the five-factor model, defines five personality factors: Neuroticism, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness. The structural correlates of these personality factors are still a matter of debate. In this work, we examine the impact of subtle cognitive deficits on structural substrates of personality in the elderly using DTI derived white matter (WM) integrity measure, Fractional Anisotropy (FA)...
Published on Jan 1, 2019in Intelligence2.61
Gabriel Kocevar4
Estimated H-index: 4
(UCBL: Claude Bernard University Lyon 1),
Ilaria Suprano (UCBL: Claude Bernard University Lyon 1)+ 5 AuthorsDominique Sappey-Marinier17
Estimated H-index: 17
(UCBL: Claude Bernard University Lyon 1)
The aim of this study is to better understand the neural substrate of intelligence in children, through the characterization of the brain's structural connectivity (graph measures), as well as the major white matter (WM) fibers microstructure.
Published on Sep 1, 2018in Human Brain Mapping4.55
Tom A. Fuchs3
Estimated H-index: 3
(SUNY: State University of New York System),
Michael G. Dwyer37
Estimated H-index: 37
(SUNY: State University of New York System)
+ 9 AuthorsDeepa P. Ramasamy20
Estimated H-index: 20
(SUNY: State University of New York System)
Published on Oct 18, 2017
Kristīne Užule (Transport and Telecommunication Institute)
Mobile education has permeated contemporary higher education market. One of the pillars of mobile education is the usage of mobiles devices, such as computers, tablets and smart phones, in the training process, which has significantly enhanced the quality and accessibility of education due to the continuous ability of students to access training materials through the Internet connection as well as their ability to open resources in download folders at any point in time. Yet, despite the continuo...