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Dive into the research topics where Colin G. DeYoung is active.

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Featured researches published by Colin G. DeYoung.


Journal of Personality and Social Psychology | 2007

Between facets and domains: 10 aspects of the Big Five.

Colin G. DeYoung; Lena C. Quilty; Jordan B. Peterson

Factor analyses of 75 facet scales from 2 major Big Five inventories, in the Eugene-Springfield community sample (N=481), produced a 2-factor solution for the 15 facets in each domain. These findings indicate the existence of 2 distinct (but correlated) aspects within each of the Big Five, representing an intermediate level of personality structure between facets and domains. The authors characterized these factors in detail at the item level by correlating factor scores with the International Personality Item Pool (L. R. Goldberg, 1999). These correlations allowed the construction of a 100-item measure of the 10 factors (the Big Five Aspect Scales [BFAS]), which was validated in a 2nd sample (N=480). Finally, the authors examined the correlations of the 10 factors with scores derived from 10 genetic factors that a previous study identified underlying the shared variance among the Revised NEO Personality Inventory facets (K. L. Jang et al., 2002). The correspondence was strong enough to suggest that the 10 aspects of the Big Five may have distinct biological substrates.


Psychological Science | 2010

Testing Predictions From Personality Neuroscience Brain Structure and the Big Five

Colin G. DeYoung; Jacob B. Hirsh; Matthew S. Shane; Xenophon Papademetris; Nallakkandi Rajeevan; Jeremy R. Gray

We used a new theory of the biological basis of the Big Five personality traits to generate hypotheses about the association of each trait with the volume of different brain regions. Controlling for age, sex, and whole-brain volume, results from structural magnetic resonance imaging of 116 healthy adults supported our hypotheses for four of the five traits: Extraversion, Neuroticism, Agreeableness, and Conscientiousness. Extraversion covaried with volume of medial orbitofrontal cortex, a brain region involved in processing reward information. Neuroticism covaried with volume of brain regions associated with threat, punishment, and negative affect. Agreeableness covaried with volume in regions that process information about the intentions and mental states of other individuals. Conscientiousness covaried with volume in lateral prefrontal cortex, a region involved in planning and the voluntary control of behavior. These findings support our biologically based, explanatory model of the Big Five and demonstrate the potential of personality neuroscience (i.e., the systematic study of individual differences in personality using neuroscience methods) as a discipline.


Journal of Personality and Social Psychology | 2006

Higher-order factors of the Big Five in a multi-informant sample.

Colin G. DeYoung

In a large community sample (N=490), the Big Five were not orthogonal when modeled as latent variables representing the shared variance of reports from 4 different informants. Additionally, the standard higher-order factor structure was present in latent space: Neuroticism (reversed), Agreeableness, and Conscientiousness formed one factor, labeled Stability, and Extraversion and Openness/Intellect formed a second factor, labeled Plasticity. Comparison of two instruments, the Big Five Inventory and the Mini-Markers, supported the hypotheses that single-adjective rating instruments are likely to yield lower interrater agreement than phrase rating instruments and that lower interrater agreement is associated with weaker correlations among the Big Five and a less coherent higher-order factor structure. In conclusion, an interpretation of the higher-order factors is discussed, including possible neurobiological substrates.


Personality and Individual Differences | 2002

Higher-order factors of the Big Five predict conformity: Are there neuroses of health?

Colin G. DeYoung; Jordan B. Peterson; Daniel M. Higgins

Abstract In a university sample (n=245) and a community sample (n=222), we replicate the higher-order factor solution for the Five Factor Model (Big Five) reported by Digman (Digman, J. M. (1997). Higher-order factors of the Big Five. Journal of Personality and Social Psychology, 73, 1246–1256). We present a biologically predicated model of these two personality factors, relating them to serotonergic and dopaminergic function, and we label them Stability (Emotional Stability, Agreeableness, and Conscientiousness) and Plasticity (Extraversion and Openness). Based on this model, we hypothesize that Stability will positively predict conformity (as indicated by socially desirable responding) and that Plasticity will negatively predict conformity. A structural equation model indicates that conformity is indeed positively related to Stability (university sample: β=0.98; community sample: β=0.69; P


Psychological Science | 2008

Individual Differences in Delay Discounting Relation to Intelligence, Working Memory, and Anterior Prefrontal Cortex

Noah A. Shamosh; Colin G. DeYoung; Adam E. Green; Deidre L. Reis; Matthew R. Johnson; Andrew R. A. Conway; Randall W. Engle; Todd S. Braver; Jeremy R. Gray

Lower delay discounting (better self-control) is linked to higher intelligence, but the basis of this relation is uncertain. To investigate the potential role of working memory (WM) processes, we assessed delay discounting, intelligence (g), WM (span tasks, 3-back task), and WM-related neural activity (using functional magnetic resonance imaging) in 103 healthy adults. Delay discounting was negatively correlated with g and WM. WM explained no variance in delay discounting beyond that explained by g, which suggests that processes through which WM relates to delay discounting are shared by g. WM-related neural activity in left anterior prefrontal cortex (Brodmanns area 10) covaried with g, r = .26, and delay discounting, r = -.40, and partially mediated the relation between g and delay discounting. Overall, the results suggest that delay discounting is associated with intelligence in part because of processes instantiated in anterior prefrontal cortex, a region known to support the integration of diverse information.


PLOS ONE | 2011

Personality is reflected in the brain's intrinsic functional architecture

Jonathan S. Adelstein; Zarrar Shehzad; Maarten Mennes; Colin G. DeYoung; Xi-Nian Zuo; Clare Kelly; Daniel S. Margulies; Aaron J Bloomfield; Jeremy R. Gray; F. Xavier Castellanos; Michael P. Milham

Personality describes persistent human behavioral responses to broad classes of environmental stimuli. Investigating how personality traits are reflected in the brains functional architecture is challenging, in part due to the difficulty of designing appropriate task probes. Resting-state functional connectivity (RSFC) can detect intrinsic activation patterns without relying on any specific task. Here we use RSFC to investigate the neural correlates of the five-factor personality domains. Based on seed regions placed within two cognitive and affective ‘hubs’ in the brain—the anterior cingulate and precuneus—each domain of personality predicted RSFC with a unique pattern of brain regions. These patterns corresponded with functional subdivisions responsible for cognitive and affective processing such as motivation, empathy and future-oriented thinking. Neuroticism and Extraversion, the two most widely studied of the five constructs, predicted connectivity between seed regions and the dorsomedial prefrontal cortex and lateral paralimbic regions, respectively. These areas are associated with emotional regulation, self-evaluation and reward, consistent with the trait qualities. Personality traits were mostly associated with functional connections that were inconsistently present across participants. This suggests that although a fundamental, core functional architecture is preserved across individuals, variable connections outside of that core encompass the inter-individual differences in personality that motivate diverse responses.


Personality and Social Psychology Bulletin | 2010

Compassionate Liberals and Polite Conservatives: Associations of Agreeableness With Political Ideology and Moral Values

Jacob B. Hirsh; Colin G. DeYoung; Xiaowen Xu; Jordan B. Peterson

Political conservatism has been characterized by resistance to change and acceptance of inequality, with liberalism characterized by the polar opposite of these values. Political attitudes are heritable and may be influenced by basic personality traits. In previous research, conservatism (vs. liberalism) has been associated positively with Conscientiousness and negatively with Openness-Intellect, consistent with the association of conservatism with resistance to change. Less clear, however, are the personality traits relating to egalitarianism. In two studies, using a personality model that divides each of the Big Five into two aspects, the present research found that one aspect of Agreeableness (Compassion) was associated with liberalism and egalitarianism, whereas the other (Politeness) was associated with conservatism and traditionalism. In addition, conservatism and moral traditionalism were positively associated with the Orderliness aspect of Conscientiousness and negatively with Openness-Intellect. These findings contribute to a more nuanced understanding of personality’s relation to political attitudes and values.


Journal of Personality and Social Psychology | 2009

Intellect as distinct from Openness: Differences revealed by fMRI of working memory

Colin G. DeYoung; Noah A. Shamosh; Adam E. Green; Todd S. Braver; Jeremy R. Gray

Relatively little is known about the neural bases of the Big Five personality trait Openness/Intellect. This trait is composed of 2 related but separable aspects, Openness to Experience and Intellect. On the basis of previous behavioral research (C. G. DeYoung, J. B. Peterson, & D. M. Higgins, 2005), the authors hypothesized that brain activity supporting working memory (WM) would be related to Intellect but not to Openness. To test this hypothesis, the authors used functional magnetic resonance imaging (fMRI) to scan a sample of 104 healthy adults as they performed a difficult WM task. Intellect (and not Openness) was found to correlate with WM accuracy and with accuracy-related brain activity, in left lateral anterior prefrontal cortex and posterior medial frontal cortex. Neural activity in these regions mediated the association between Intellect and WM performance, implicating these regions in the neural substrate of Intellect. Intellect was also correlated significantly with scores on tests of intelligence and WM capacity, but the association of Intellect with brain activity could not be entirely explained by cognitive ability.


Frontiers in Psychology | 2011

Gender Differences in Personality across the Ten Aspects of the Big Five

Yanna J. Weisberg; Colin G. DeYoung; Jacob B. Hirsh

This paper investigates gender differences in personality traits, both at the level of the Big Five and at the sublevel of two aspects within each Big Five domain. Replicating previous findings, women reported higher Big Five Extraversion, Agreeableness, and Neuroticism scores than men. However, more extensive gender differences were found at the level of the aspects, with significant gender differences appearing in both aspects of every Big Five trait. For Extraversion, Openness, and Conscientiousness, the gender differences were found to diverge at the aspect level, rendering them either small or undetectable at the Big Five level. These findings clarify the nature of gender differences in personality and highlight the utility of measuring personality at the aspect level.


The Journal of Neuroscience | 2008

Multiple Bases of Human Intelligence Revealed by Cortical Thickness and Neural Activation

Yu Yong Choi; Noah A. Shamosh; Sun Hee Cho; Colin G. DeYoung; Min Joo Lee; Jong-Min Lee; Sun I. Kim; Zang-Hee Cho; Kyungjin Kim; Jeremy R. Gray; Kun Ho Lee

We hypothesized that individual differences in intelligence (Spearmans g) are supported by multiple brain regions, and in particular that fluid (gF) and crystallized (gC) components of intelligence are related to brain function and structure with a distinct profile of association across brain regions. In 225 healthy young adults scanned with structural and functional magnetic resonance imaging sequences, regions of interest (ROIs) were defined on the basis of a correlation between g and either brain structure or brain function. In these ROIs, gC was more strongly related to structure (cortical thickness) than function, whereas gF was more strongly related to function (blood oxygenation level-dependent signal during reasoning) than structure. We further validated this finding by generating a neurometric prediction model of intelligence quotient (IQ) that explained 50% of variance in IQ in an independent sample. The data compel a nuanced view of the neurobiology of intelligence, providing the most persuasive evidence to date for theories emphasizing multiple distributed brain regions differing in function.

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Lena C. Quilty

Centre for Addiction and Mental Health

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Steven G. Ludeke

University of Southern Denmark

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