Abstract:Social support may normalize stress reactivity among highly anxious individuals, yet little research has examined anxious reactions in social contexts. We examined the role of both state and trait anxiety in the link between social support and the neural response to threat. We employed an fMRI paradigm in which participants faced the threat of electric shock under three conditions: alone, holding a stranger's hand, and holding a friend's hand. We found significant interactions between trait anxiety and threat … Show more
“…Given the strong correlation between (reciprocally transformed) BAI scores and SDS scores [r (74) = -0.73, p < 0.001, Fig.6a], we explored distinct brain networks between 2 1 anxiety and depression. The two-sample t-test revealed a significant difference between "anxiety scores" and "depression scores" [t (38) = -4.15, p <0.001, Cohen's d = -1.857, Fig. 6c], validating significant differences between the anxiety-specific and the depression-specific networks.…”
Section: Distinct Brain Network Between Anxiety and Depressionmentioning
confidence: 81%
“…Among the prefrontal-limbic circuit, vACC, vlPFC and PCC were key nodes that contributed to the anxiety-predictive model. vACC plays a key role in the modulation of physiological arousal (Maresh et al, 2013) and the control of negative affect (LeDoux, 2003;Passamonti et al, 2008;Petrovic et al, 2005). vlPFC has been implicated in effortful down-regulation of negative emotion (Campbell-Sills et al, 2011).…”
Anxiety-related illnesses are highly prevalent in human society. Being able to identify neurobiological markers signaling high trait anxiety could aid the assessment of individuals with high risk for mental illness. Here, we applied connectome-based predictive modeling (CPM) to whole-brain resting-state functional connectivity (rsFC) data to predict the degree of anxiety in 76 healthy participants. Using a computational "lesion" method in CPM, we then examined the weights of the identified main brain areas as well as their connectivity. Results showed that the CPM could predict individual anxiety from whole-brain rsFC, especially from limbic areas-whole brain and prefrontal cortex-whole brain. The prediction power of the model significantly decreased from (simulated) lesions of limbic areas, lesions of the connectivity within the limbic system, and lesions of the connectivity between limbic regions and the prefrontal cortex.Although the same model also predicted depression, anxiety-specific networks could be identified independently, centered at the prefrontal cortex. These findings highlight the important role of the limbic system and the prefrontal cortex in the prediction of anxiety.Our work provides evidence for the usefulness of connectome-based modeling of rsFC in predicting individual personality differences and indicates its potential for identifying personality structures at risk of developing psychopathology.
“…Given the strong correlation between (reciprocally transformed) BAI scores and SDS scores [r (74) = -0.73, p < 0.001, Fig.6a], we explored distinct brain networks between 2 1 anxiety and depression. The two-sample t-test revealed a significant difference between "anxiety scores" and "depression scores" [t (38) = -4.15, p <0.001, Cohen's d = -1.857, Fig. 6c], validating significant differences between the anxiety-specific and the depression-specific networks.…”
Section: Distinct Brain Network Between Anxiety and Depressionmentioning
confidence: 81%
“…Among the prefrontal-limbic circuit, vACC, vlPFC and PCC were key nodes that contributed to the anxiety-predictive model. vACC plays a key role in the modulation of physiological arousal (Maresh et al, 2013) and the control of negative affect (LeDoux, 2003;Passamonti et al, 2008;Petrovic et al, 2005). vlPFC has been implicated in effortful down-regulation of negative emotion (Campbell-Sills et al, 2011).…”
Anxiety-related illnesses are highly prevalent in human society. Being able to identify neurobiological markers signaling high trait anxiety could aid the assessment of individuals with high risk for mental illness. Here, we applied connectome-based predictive modeling (CPM) to whole-brain resting-state functional connectivity (rsFC) data to predict the degree of anxiety in 76 healthy participants. Using a computational "lesion" method in CPM, we then examined the weights of the identified main brain areas as well as their connectivity. Results showed that the CPM could predict individual anxiety from whole-brain rsFC, especially from limbic areas-whole brain and prefrontal cortex-whole brain. The prediction power of the model significantly decreased from (simulated) lesions of limbic areas, lesions of the connectivity within the limbic system, and lesions of the connectivity between limbic regions and the prefrontal cortex.Although the same model also predicted depression, anxiety-specific networks could be identified independently, centered at the prefrontal cortex. These findings highlight the important role of the limbic system and the prefrontal cortex in the prediction of anxiety.Our work provides evidence for the usefulness of connectome-based modeling of rsFC in predicting individual personality differences and indicates its potential for identifying personality structures at risk of developing psychopathology.
“…Whilst not examining it from a domains based perspective, previous research using brain imaging has focused on how threat regulation may be modulated differently depending on the presence of someone else (Coan et al, 2017;Coan, Kasle, Jackson, Schaefer, & Davidson, 2013;Coan, Schaefer, & Davidson, 2006;Eisenberger et al, 2011;Kawamichi, Kitada, Yoshihara, Takahashi, & Sadato, 2015;Maresh, Beckes, & Coan, 2013;Younger, Aron, Parke, Chatterjee, & Mackey, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, neural activation patterns during threat of shock tasks are further influenced by relationship quality and mutuality, such that better relationship quality and mutuality between romantic partners was associated with reduced activation in threat and pain-related regions when holding the hand of romantic partners (Coan et al, 2006), and increased activation in safety signalling regions when viewing pictures of romantic partners (Eisenberger et al, 2011). Recent studies have also shown modulation of neural responses to threat when holding the hand of a friend (Kawamichi, Kitada, Yoshihara, Takahashi, & Sadato, 2015;Maresh, Beckes, & Coan, 2013). In these studies, holding the hand of friend compared to rubber hand or the hand of a stranger has been shown to suppress visual cortex activity to negative stimuli (Kawamich, Kitada, Yoshihara, Takahashi, & Sadato, 2015), as well as enhance activity in threat-related brain regions associated with engagement in anxious individuals (Maresh, Beckes, & Coan, 2013).…”
The neural circuitry associated with threat regulation in the absence of other people is well established. An examination of threat regulatory processes with people from different domains of an individual's social world is key to understanding social emotion regulation and personality functioning conceptualised as social domain organisation. In this study, 42 healthy female participants completed functional magnetic imaging sessions in which they underwent a scan in the presence of a romantic partner or friend, whilst completing a threat of shock task. In the presence of a romantic partner vs. friend, we found a reduction in amygdala activation to threat vs. safe trials over time. Furthermore, in the presence of a romantic partner vs. friend we observed greater subgenual anterior cingulate cortex and ventromedial prefrontal cortex activation to threat vs. safe trials overall. The results support the hypothesis that recruitment of threat regulation circuitry is modulated by romantic partner relative to another person well-known to the individual. Future work needs to examine neural responses to a wider range of stimuli across more social domains, and implications of failures of this neural organisation for psychopathology.
“…Similarly, the precuneus also showed increased activation when viewing with a friend compared to alone and this region is particularly associated with self-related thoughts and self-referential processing, (Cavanna and Trimble, 2006;Northoff et al, 2006). This might indicate a neural mechanism whereby sharing with close others also engages self-involvement (Müller-Pinzler et al, 2015;Maresh et al, 2013). Importantly, the friend sharing effect on increasing positive valence relative to the alone condition was significantly enhanced by OXT in female but not male subjects.…”
We interact socially and form bonds with others because such experiences are rewarding. However, an insecure attachment style or social anxiety can reduce these rewarding effects. The neuropeptide oxytocin (OXT) may facilitate social interactions either by increasing their rewarding experience or by attenuating anxiety, although effects can be sex-and attachment-style dependent. In this study, 64 pairs of same-sex friends completed a social sharing paradigm in a double-blind, placebo-controlled, between-subject design with one friend inside an MRI scanner and the other in a remote behavioral testing room. In this way we could examine whether intranasal-OXT differentially modulated the emotional impact of social sharing and associated neural processing. Additionally, we investigated if OXT effects were modulated by sex and attachment style. Results showed that in women, but not men, OXT increased ratings for sharing stimuli with their friend but not with a stranger, particularly in the friend in the scanner. Corresponding neuroimaging results showed that OXT decreased both amygdala and insula activity as well as their functional connectivity in women when they shared with friends but had the opposite effect in men. On the other hand, OXT did not enhance responses in brain reward circuitry. In the PLC treated group amygdala responses in women when they shared pictures with their friend were positively associated with attachment anxiety and OXT uncoupled this. Our findings demonstrate that OXT facilitates the impact of sharing positive experiences with others in women, but not men, and that this is associated with differential effects on the amygdala and insula and their functional connections. Furthermore, OXT particularly reduced increased amygdala responses during sharing in individuals with higher attachment anxiety. Thus, OXT effects in this context may be due more to reduced anxiety when sharing with a friend than to enhanced social reward.
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