Neuroticism modulates amygdala—prefrontal connectivity in response to negative emotional facial expressions
Introduction
Neuroticism is a widely recognized trait in various theoretical approaches to human personality (Smits and Boeck, 2006, Zelenski and Larsen, 1999). Characteristics of this trait include a tendency to worry and to be anxious (Canli et al., 2001), and is related to the experience of negative affect (Larsen and Ketelaar, 1991, Robinson et al., 2007a, Zelenski and Larsen, 1999). Neuroticism is also associated with affective disorders such as social anxiety disorder (SAD) and depression (Bienvenu et al., 2001, Bienvenu et al., 2004, Clark et al., 1994).
Functional magnetic resonance imaging (fMRI) studies have provided substantial evidence for the modulatory role of individual differences in neuroticism on neural activity related to emotion processing (Canli, 2004, Hamann and Canli, 2004). Regions where activity is associated with neuroticism (and related personality traits) include the amygdala (Haas et al., 2007, Reuter et al., 2004, Stein et al., 2007b), the anterior cingulate cortex (ACC) (Eisenberger et al., 2005, Reuter et al., 2004) and the medial prefrontal cortex (Britton et al., 2007, Haas et al., 2007, Rubino et al., 2007). However, these regions are functionally coupled, and such connectivity, especially between the amygdala and prefrontal regions, is crucial for the integration between emotion and cognition (Pessoa, 2008; Stein et al., 2007a). To gain a better understanding of the neural basis of individual differences in emotion processing related to neuroticism, a focus on functional connectivity between limbic and prefrontal regions is therefore required.
Neuroticism is associated with alterations in cognitive–emotional functions such as affect regulation (Tamir, 2005), self-consciousness (Trapnell and Campbell, 1999) and self-regulation (Robinson et al., 2007b). Thus, dysfunctional interactions between the amygdala and regions related to these functions, such as ventrolateral PFC (vlPFC), dorsolateral PFC (dlPFC) and ACC (Ochsner & Gross, 2005; Pessoa, 2008) (cognitive control of emotion), and dorsomedial prefrontal cortex (dmPFC) (Amodio & Frith, 2006; Northoff & Bermpohl, 2004) (self-regulation and self-referential processing) are likely to be specifically associated with individual differences in neuroticism.
Only recently, fMRI studies have started to investigate personality-associated differences in functional connectivity during emotion processing. Whereas some of these studies focused on traits related to positive affect (Haas et al., 2006; Passamonti et al., 2008), one study reported trait anxiety differences in amygdala–ACC coupling (Kienast et al., 2008). A mood induction study during positron emission tomography (PET) showed that neuroticism is associated with changes in subgenual cingulate coupling with prefrontal regions during mood induction, possibly reflecting a susceptibility marker for depression (Keightley et al., 2003). Despite these initial findings, to the best of our knowledge, no study has systematically addressed the question on how individual differences in neuroticism are associated with amygdala–prefrontal cortex connectivity for various negative emotional facial expressions.
To investigate the modulatory role of neuroticism on amygdala–prefrontal cortex connectivity during emotion processing, we applied a standardized face paradigm with different negative emotional facial expressions (angry, fearful and sad) in a large subject sample. This sample represented the healthy control subjects as part of the Netherlands Study on Depression and Anxiety (NESDA) (Penninx et al., 2008). We hypothesize that activity in the medial PFC, ACC and the amygdala is associated with neuroticism scores when processing negative as compared to neutral facial expressions. We also hypothesize that connectivity, between the amygdala on one hand and the lateral and medial prefrontal regions and the ACC on the other, should vary with individual differences in neuroticism.
Section snippets
Participants
Sixty healthy participants were selected from the general population (mean age = 39.9, range: 21–56, 37 females). Participants were recruited as healthy control participants in a large multi-center cohort study, the Netherlands Study of Depression and Anxiety (NESDA). Participants were tested at the Amsterdam Medical Center (AMC), Leiden University Medical Center (LUMC) and University Medical Center Groningen (UMCG). The exclusion criteria for these healthy participants were (1) a lifetime
Behavioral results
For the entire group, mean reaction times (RT) for the different emotional faces were: angry RT = 825 ms, SD = 158, fear RT = 879 ms, SD = 166, sad RT = 874 ms, SD = 163 and neutral RT = 888 ms SD = 155. There was a main effect of emotion on reaction time, driven by a faster RT for angry compared to neutral faces t(55) = −7.6, p < 0.05. Accuracy overall was high: for angry 98.3%, fear 98.5%, sad 96.1% and neutral 95.4% correct. There were no significant correlations between neuroticism (or extraversion) and the
Acknowledgments
Henk Cremers and Karin Roelofs are supported by the Netherlands Organization of Scientific Research (NWO), VIDI grant #452-07-008. The infrastructure for the NESDA study (www.nesda.nl) is funded through the Geestkracht program of the Netherlands Organisation for Health Research and Development (Zon-Mw, grant number 10-000-1002) and is supported by participating universities and mental health care organizations (VU University Medical Center, GGZ inGeest, Arkin, Leiden University Medical Center,
References (49)
- et al.
Lateralization of amygdala activation: a systematic review of functional neuroimaging studies
Brain Res. Brain Res. Rev.
(2004) - et al.
Neuroticism associated with neural activation patterns to positive stimuli
Psychiatry Res.
(2007) - et al.
Resolving emotional conflict: a role for the rostral anterior cingulate cortex in modulating activity in the amygdala
Neuron
(2006) - et al.
Psychophysiological and modulatory interactions in neuroimaging
NeuroImage
(1997) - et al.
Sequence of information processing for emotions based on the anatomic dialogue between prefrontal cortex and amygdala
NeuroImage
(2007) - et al.
Stop the sadness: neuroticism is associated with sustained medial prefrontal cortex response to emotional facial expressions
NeuroImage
(2008) - et al.
Individual differences in emotion processing
Curr. Opin. Neurobiol.
(2004) - et al.
Personality influences limbic–cortical interactions during sad mood induction
NeuroImage
(2003) - et al.
An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets
NeuroImage
(2003) - et al.
Deep brain stimulation for treatment-resistant depression
Neuron
(2005)
Self-referential processing in our brain—a meta-analysis of imaging studies on the self
NeuroImage
Connectivity from the ventral anterior cingulate to the amygdala is modulated by appetitive motivation in response to facial signals of aggression
NeuroImage
Prefrontal involvement in the regulation of emotion: convergence of rat and human studies
Curr. Opin. Neurobiol.
Neuroticism and affective priming: evidence for a neuroticism-linked negative schema
Pers. Individ. Dif.
Activity in medial prefrontal cortex during cognitive evaluation of threatening stimuli as a function of personality style
Brain Res. Bull.
The role of the amygdala in emotional processing: a quantitative meta-analysis of functional neuroimaging studies
Neurosci. Biobehav. Rev.
A validated network of effective amygdala connectivity
NeuroImage
Prefrontal–Subcortical pathways mediating successful emotion regulation
Neuron
Individual differences in the experience of emotions
Clin. Psychol. Rev.
Meeting of minds: the medial frontal cortex and social cognition
Nat. Rev., Neurosci.
Amygdala–Frontal connectivity during emotion regulation
Soc. Cogn. Affect. Neurosci.
Phobic, panic, and major depressive disorders and the five-factor model of personality
J. Nerv. Ment. Dis.
Anxiety and depressive disorders and the five-factor model of personality: a higher- and lower-order personality trait investigation in a community sample
Depress. Anxiety
Neural response to self- and other referential praise and criticism in generalized social phobia
Arch. Gen. Psychiatry
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