Anxiety and Harm Avoidance

Markett, Sebastian; Montag, Christian; Reuter, Martin

doi:10.1016/b978-0-12-800935-2.00005-1

Cited by 11 publications

(9 citation statements)

References 92 publications

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“…The brain areas in dark gray are the brain regions with the highest degree (top 15%) that qualify as possible hub regions. Data are taken from Markett et al (2017b). …”

Section: Connectivity and Network: The Connectome Paradigmmentioning

confidence: 99%

“…An important first step would be to establish not only correlates between brain networks and personality but also links between brain networks and genetic variation and activity, and between brain networks and environmental influences. Studies have started to examine the relationship between the organization of brain connectivity and cortical gene expression (Forest et al, 2017; Romme, de Reus, Ophoff, Kahn, & van den Heuvel, 2017; Wang et al, 2015) or between brain connectivity and genetic variation (Markett et al, 2016a, 2017a, 2017b). Other studies have focused on experience-dependent changes in brain connectivity that might reflect Hebbian plasticity (Dosenbach et al, 2007; Lewis et al, 2009; Taubert, Villringer, & Ragert, 2012).…”

Section: Network Level Correlates Of Personalitymentioning

confidence: 99%

“…This focus might reflect a research bias in favor of clinically relevant personality traits, but could also result from more straightforward relationships between these personality traits and aspects of brain organization that are easily assessable with the field's current methodological toolbox (Bjørnebekk et al, 2012;Markett, Montag, & Reuter, 2016c). Neuroticism and trait anxiety seem to be linked to several aspects of brain connectivity, ranging from associations between single brain areas and their connections, via the organization of single brain networks, to organizational principles of whole-brain connectivity.…”

Section: Network Level Correlates Of Personalitymentioning

confidence: 99%

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Network Neuroscience and Personality

Markett

Montag²,

Reuter

2018

Personality Neuroscience

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Personality and individual differences originate from the brain. Despite major advances in the affective and cognitive neurosciences, however, it is still not well understood how personality and single personality traits are represented within the brain. Most research on brainpersonality correlates has focused either on morphological aspects of the brain such as increases or decreases in local gray matter volume, or has investigated how personality traits can account for individual differences in activation differences in various tasks. Here, we propose that personality neuroscience can be advanced by adding a network perspective on brain structure and function, an endeavor that we label personality network neuroscience.With the rise of resting-state functional magnetic resonance imaging (MRI), the establishment of connectomics as a theoretical framework for structural and functional connectivity modeling, and recent advancements in the application of mathematical graph theory to brain connectivity data, several new tools and techniques are readily available to be applied in personality neuroscience. The present contribution introduces these concepts, reviews recent progress in their application to the study of individual differences, and explores their potential to advance our understanding of the neural implementation of personality.Trait theorists have long argued that personality traits are biophysical entities that are not mere abstractions of and metaphors for human behavior. Traits are thought to actually exist in the brain, presumably in the form of conceptual nervous systems. A conceptual nervous system refers to the attempt to describe parts of the central nervous system in functional terms with relevance to psychology and behavior. We contend that personality network neuroscience can characterize these conceptual nervous systems on a functional and anatomical level and has the potential do link dispositional neural correlates to actual behavior.

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“…The brain areas in dark gray are the brain regions with the highest degree (top 15%) that qualify as possible hub regions. Data are taken from Markett et al (2017b). …”

Section: Connectivity and Network: The Connectome Paradigmmentioning

confidence: 99%

Section: Network Level Correlates Of Personalitymentioning

confidence: 99%

Section: Network Level Correlates Of Personalitymentioning

confidence: 99%

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Network Neuroscience and Personality

Markett

Montag²,

Reuter

2018

Personality Neuroscience

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“…The finding that harm avoidance contributed significantly to body dissatisfaction is consistent with previous studies investigating the associations of temperament and character dimensions with body dissatisfaction in eating disorders (Abbate‐Daga et al., 2010; Frank et al., 2018; Vervaet et al., 2003; Zanetti et al., 2013). Harm avoidance is characterised by worry, insecurity and fear of failure (Cloninger et al., 1993, 1994), also conceptualised as biologically informed trait anxiety (Markett et al., 2016). In this way, it is not surprizing that previous researchers have suggested that harm avoidance may be associated with body image disturbance through worry and anxiety (Frank et al., 2018).…”

Section: Discussionmentioning

confidence: 99%

“…Novelty seeking reflects the tendency to approach novel stimuli (Hansenne et al., 1999). Harm avoidance captures inhibition in response to aversive stimuli (Hansenne et al., 1999), also conceptualised as biologically informed trait anxiety (Markett et al., 2016). Reward dependence describes the tendency to respond positively to signals of reward (Hansenne et al., 1999), and persistence is perseverance in spite of frustration and fatigue (Cloninger et al., 1993).…”

Section: Introductionmentioning

confidence: 99%

The effect of temperament and character on body dissatisfaction in women with bulimia nervosa: The role of low self‐esteem and depression

Jones

McIntosh

Britt

et al. 2022

Euro Eating Disorders Rev

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Objective Although personality traits have been found to be associated with body dissatisfaction for women in the general population, little research has explored these associations for people with eating disorders. Furthermore, it is unknown whether these associations are direct or are mediated by other factors. In this cross‐sectional study, secondary analyses of data from two clinical trials were conducted to determine which personality dimensions contributed to body dissatisfaction in women with bulimia nervosa, and whether low self‐esteem and depression mediate these associations independently or in serial. Method Participants were 193 women with bulimia nervosa. Participants completed self‐report measures of temperament and character, body dissatisfaction, low self‐esteem, and depression before receiving treatment for their eating disorder. Results The temperament dimension, harm avoidance, contributed significantly to body dissatisfaction. Serial mediation analyses showed this association was fully mediated, revealing two significant indirect effects. The first was through low self‐esteem and the second through depression and low self‐esteem in serial. Conclusions Findings suggest body dissatisfaction in women with bulimia nervosa may be indirectly targeted through addressing harm avoidance, depression and low self‐esteem.

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