Neural substrates of the influence of emotional cues on cognitive control in risk-taking adolescents

Function without feeling: neural reactivity and intercommunication during flexible motor adjustments evoked by emotional and neutral stimuli

Motor conflicts arise when we need to quickly overwrite prepotent behavior. It has been proposed that affective stimuli modulate the neural processing of motor conflicts. However, previous studies have come to inconsistent conclusions regarding the neural impact of affective information on conflict processing. We employed functional magnetic resonance imaging during a Go/Change-Go task, where motor conflicts were either evoked by neutral or emotionally negative stimuli. Dynamic causal modeling was used to investigate how motor conflicts modulate the intercommunication between the anterior cingulate cortex (ACC) and the anterior insula (AI) as 2 central regions for cognitive control. Conflicts compared to standard actions were associated with increased BOLD activation in several brain areas, including the dorsal ACC and anterior insula. There were no differences in neural activity between emotional and non-emotional conflict stimuli. Conflicts compared to standard actions lowered neural self-inhibition of the ACC and AI and led to increased effective connectivity from the ACC to AI contralateral to the acting hand. Thus, our study indicates that neural conflict processing is primarily driven by the functional relevance of action-related stimuli, not their inherent affective meaning. Furthermore, it sheds light on the role of interconnectivity between ACC and AI for the implementation of flexible behavioral change.

Risk-Taking Behavior Among Male Adolescents: The Role of Observer Presence and Individual Self-Control

A number of studies have focused on the same-sex peer effect on and the developmental difference in adolescent risk-taking in terms of the dual systems model. Little research, however, addresses the effects of different observers, the role of different levels of individual self-control, and their interactions. To fill this gap, the present study examined the main and interactive effects of observer presence and individual self-control on male adolescents' risk-taking behavior with an experimental design. A total of 261 male adolescents (M_age = 15.79 ± 0.79, range = 14-18) completed an adapted Stoplight Task, which measures risk-taking behavior, in the presence of an observer, either peer or adult, either male or female. The results indicated that a same-sex peer's presence and low self-control were both risk factors of male adolescents' risk-taking, but did only low self-control male adolescents take serious risks when in the presence of a same-sex peer whereas those with high self-control consistently had low levels of risk-taking under any condition. An opposite-sex observer, particularly an opposite-sex adult's presence, played a similar protective role for male adolescents with low self-control. The findings suggest that a high level of self-control closely related to the cognitive control system may significantly buffer the negative effect of an adverse social stimulus which activates the social-emotional system on male adolescents' risk-taking; the findings also reveal that an opposite-sex adult's presence may contribute to a decrease in male adolescents' risk-taking by improving their cognitive control system.

Revisiting the Neural Architecture of Adolescent Decision-Making: Univariate and Multivariate Evidence for System-Based Models

Understanding adolescent decision-making is significant for informing basic models of neurodevelopment as well as for the domains of public health and criminal justice. System-based theories posit that adolescent decision-making is guided by activity related to reward and control processes. While successful at explaining behavior, system-based theories have received inconsistent support at the neural level, perhaps because of methodological limitations. Here, we used two complementary approaches to overcome said limitations and rigorously evaluate system-based models. Using decision-level modeling of fMRI data from a risk-taking task in a sample of 2000+ decisions across 51 human adolescents (25 females, mean age = 15.00 years), we find support for system-based theories of decision-making. Neural activity in lateral PFC and a multivariate pattern of cognitive control both predicted a reduced likelihood of risk-taking, whereas increased activity in the NAcc predicted a greater likelihood of risk-taking. Interactions between decision-level brain activity and age were not observed. These results garner support for system-based accounts of adolescent decision-making behavior.SIGNIFICANCE STATEMENT Adolescent decision-making behavior is of great import for basic science, and carries equally consequential implications for public health and criminal justice. While dominant psychological theories seeking to explain adolescent decision-making have found empirical support, their neuroscientific implementations have received inconsistent support. This may be partly because of statistical approaches used by prior neuroimaging studies of system-based theories. We used brain modeling, an approach that predicts behavior from brain activity, of univariate and multivariate neural activity metrics to better understand how neural components of psychological systems guide decision behavior in adolescents. We found broad support for system-based theories such that neural systems involved in cognitive control predicted a reduced likelihood to make risky decisions, whereas value-based systems predicted greater risk-taking propensity.

Functional Networks Abnormalities in Autism Spectrum Disorder: Age-Related Hypo and Hyper Connectivity

Autism spectrum disorder (ASD) is a developmental disorder characterized by defects in social interaction. The past functional connectivity studies using resting-state fMRI have found both patterns of hypo-connectivity and hyper-connectivity in ASD and proposed the age as an important factor on functional connectivity disorders. However, this influence is not clearly characterized yet. Previous studies have often examined the functional connectivity disorders in particular brain regions in an age group or a mixture of age groups. The present study compares whole-brain within-connectivity and between-connectivity between ASD individuals and typically developing (TD) controls in three age groups including children (< 11 years), adolescents (11-18 years), and adults (> 18 years), each comprising 21 ASD individuals and 21 TD controls. The age groups were matched for age, Full IQ, and gender. Independent component analysis and dual regression were used to investigate within-connectivity. The full and partial correlations between ICs were used to investigate between-connectivity. Examination of the within-connectivity showed hyper-connectivity, especially in cerebellum and brainstem in ASD children but both hyper/hypo connectivity in adolescents and ASD adults. In ASD children, difference in the between-connectivity among default mode network (DMN), salience-executive network and fronto-parietal network were observed. There was also a negative correlation between DMN and temporal network. Full correlation comparison between ASD adolescents and TD individuals showed significant differences between cerebellum and DMN. Our results supported just the hyper-connectivity in childhood, but both hypo and hyper-connectivity after childhood and hypothesized that abnormal resting connections in ASD exist in the regions of the brain known to be involved in social cognition.

The effect of social feedback from peers on adolescent cognitive control

INTRODUCTION

Social feedback can influence cognitive control during adolescence, particularly if provided by peers. The main aim of this study was to investigate if feedback given by liked or disliked peers differentially influenced adolescents' cognitive control. The second aim was to investigate if these effects could be linked to the participants' social embeddedness in their classroom.

METHODS

A personalized incentive go/no-go task was administered to 45 early adolescents (M = 11.6 years, 25 male) and 68 late adolescents (M = 16.7, 38 male) in the Netherlands. Feedback was given after no-go trials in two social feedback conditions (displaying a picture of a real liked or disliked classmate) and in a non-social control condition.

RESULTS

Performance on the task significantly improved with age. We found no differences between conditions in cognitive control, as measured by d-prime. However, analysis of task speed revealed slower reaction times during the liked peer condition as compared to the disliked peer and the control condition, potentially suggesting that participants responded more cautiously, or alternatively that participants were more distracted. These effects did not differ between age groups. Participants' differences in task performance were not reflected in their social embeddedness in the classroom.

CONCLUSIONS

This study shows that the same kind of social feedback can have different effects on adolescent behaviour depending on the peer delivering the feedback. It demonstrates the importance of studying the effects of real life social environments to better understand and utilize their impact on adolescent development.

Maternal Buffering of Adolescent Dysregulation in Socially Appetitive Contexts: From Behavior to the Brain

Adolescents are more susceptible to dysregulation in positive social contexts, compared to children. We investigated whether maternal presence would buffer these effects in adolescence. Fifty-four adolescents and children (age range = 8-17 years, Mage  = 13.38 years) completed a social go-nogo task during an fMRI scan alone and in the presence of their mother. We found age-related patterns, such that older relative to younger youth displayed more disinhibition toward socially appetitive than socially aversive stimuli, which was buffered by maternal presence. Furthermore, with age, maternal buffering in socially appetitive contexts elicited heightened activation in the ventromedial prefrontal cortex and amygdala-medial prefrontal cortex connectivity. Findings underscore the importance of caregivers in promoting the neural regulation of their offspring during adolescence.

Apples to apples? Neural correlates of emotion regulation differences between high- and low-risk adolescents

Adolescence has been noted as a period of increased risk taking. The literature on normative neurodevelopment implicates aberrant activation of affective and regulatory regions as key to inhibitory failures. However, many of these studies have not included adolescents engaging in high rates of risky behavior, making generalizations to the most at-risk populations potentially problematic. We conducted a comparative study of nondelinquent community (n = 24, mean age = 15.8 years, 12 female) and delinquent adolescents (n = 24, mean age = 16.2 years, 12 female) who completed a cognitive control task during functional magnetic resonance imaging, where behavioral inhibition was assessed in the presence of appetitive and aversive socioaffective cues. Community adolescents showed poorer behavioral regulation to appetitive relative to aversive cues, whereas the delinquent sample showed the opposite pattern. Recruitment of the inferior frontal gyrus, medial prefrontal cortex, and tempoparietal junction differentiated community and high-risk adolescents, as delinquent adolescents showed significantly greater recruitment when inhibiting their responses in the presence of aversive cues, while the community sample showed greater recruitment when inhibiting their responses in the presence of appetitive cues. Accounting for behavioral history may be key in understanding when adolescents will have regulatory difficulties, highlighting a need for comparative research into normative and nonnormative risk-taking trajectories.

All-Resolutions Inference for brain imaging

The most prevalent approach to activation localization in neuroimaging is to identify brain regions as contiguous supra-threshold clusters, check their significance using random field theory, and correct for the multiple clusters being tested. Besides recent criticism on the validity of the random field assumption, a spatial specificity paradox remains: the larger the detected cluster, the less we know about the location of activation within that cluster. This is because cluster inference implies "there exists at least one voxel with an evoked response in the cluster", and not that "all the voxels in the cluster have an evoked response". Inference on voxels within selected clusters is considered bad practice, due to the voxel-wise false positive rate inflation associated with this circular inference. Here, we propose a remedy to the spatial specificity paradox. By applying recent results from the multiple testing statistical literature, we are able to quantify the proportion of truly active voxels within selected clusters, an approach we call All-Resolutions Inference (ARI). If this proportion is high, the paradox vanishes. If it is low, we can further "drill down" from the cluster level to sub-regions, and even to individual voxels, in order to pinpoint the origin of the activation. In fact, ARI allows inference on the proportion of activation in all voxel sets, no matter how large or small, however these have been selected, all from the same data. We use two fMRI datasets to demonstrate the non-triviality of the spatial specificity paradox, and its resolution using ARI. We verify that the endless circularity permitted by ARI does not render its estimates overly conservative using both simulation, and a data split.