Mechanisms supporting the social regulation of neural threat responding with marital partners: A test of the opioid hypothesis.

Positive social contact predicts better health, but the mechanisms for this association remain debated. One way to explore this link is through the social regulation of emotion, particularly anticipatory anxiety. Previous research finds less neural threat response during partner handholding than when people are alone or stranger handholding. Various mechanistic accounts have been forwarded, including the hypothesis that this effect is mediated by endogenous opioid activity. This experiment critically tested the opioid hypothesis in 60 married participants and their partners. The study used a naltrexone opioid blockade in a double-blind placebo control with functional magnetic resonance imaging to determine whether endogenous opioids were necessary for handholding effects. Regulatory effects of supportive handholding manifested in threat network regions during opioid blockade, but not with placebo. Despite a surprising lack of effect in the placebo group, the overall study findings provide initial evidence that endogenous opioids may not be necessary for the social regulation of neural threat responding.

Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity.

Machine learning methods, such as deep learning, show promising results in the medical domain. However, the lack of interpretability of these algorithms may hinder their applicability to medical decision support systems. This paper studies an interpretable deep learning technique, called SincNet. SincNet is a convolutional neural network that efficiently learns customized band-pass filters through trainable sinc-functions. In this study, we use SincNet to analyze the neural activity of individuals with Autism Spectrum Disorder (ASD), who experience characteristic differences in neural oscillatory activity. In particular, we propose a novel SincNet-based neural network for detecting emotions in ASD patients using EEG signals. The learned filters can be easily inspected to detect which part of the EEG spectrum is used for predicting emotions. We found that our system automatically learns the high-α (9-13 Hz) and ß (13-30 Hz) band suppression often present in individuals with ASD. This result is consistent with recent neuroscience studies on emotion recognition, which found an association between these band suppressions and the behavioral deficits observed in individuals with ASD. The improved interpretability of SincNet is achieved without sacrificing performance in emotion recognition.

The social regulation of emotion: Inconsistencies suggest no mediation through ventromedial prefrontal cortex.

Physical touch in the form of holding a loved one's hand attenuates the neural response to threat. Speculation regarding the neural mediation of this effect points to the ventromedial prefrontal cortex (vmPFC), which is known to have inhibitory connections with threat responsive brain regions such as the amygdala. Despite the attractiveness of this hypothesis, a link between the vmPFC and diminished threat during handholding has been difficult to demonstrate empirically. Here we report that in a sample of 110 participants no evidence for vmPFC mediation of the handholding effect was obtained. Indeed, results indicated that connectivity patterns between threat responsive salience network structures and the vmPFC were in the opposite direction one would predict if the vmPFC mediated reductions in neural threat-responding caused by partner handholding. Our findings suggest that the vmPFC does not mediate the regulating effect of physical contact on neural threat responses.

Cognitive Processes Unfold in a Social Context: A Review and Extension of Social Baseline Theory.

Psychologists often assume that social and cognitive processes operate independently, an assumption that prompts research into how social context influences cognitive processes. We propose that social and cognitive processes are not necessarily separate, and that social context is innate to resource dependent cognitive processes. We review the research supporting social baseline theory, which argues that our default state in physiological, cognitive, and neural processing is to incorporate the relative costs and benefits of acting in our social environment. The review extends social baseline theory by applying social baseline theory to basic cognitive processes such as vision, memory, and attention, incorporating individual differences into the theory, reviewing environmental influences on social baselines, and exploring the dynamic effects of social interactions. The theoretical and methodological implications of social baseline theory are discussed, and future research endeavors into social cognition should consider that cognitive processes are situated within our social environments.