The Relationship Between Socioeconomic Status and Scalp Event-Related Potentials: A Systematic Review

Sex Differences in the Associations Among Parenting, Socioeconomic Status, and Error Monitoring Among Adolescents

The error-related negativity (ERN) is a frontocentral deflection in the human EEG that is sensitive to error commission. Past research indicates that the ERN is modulated by individual differences in socioeconomic status (SES) and parenting style; however, there is limited research examining sex-differences in how these factors influence the ERN. The present study aimed to elucidate the relations among SES, parenting style, sex, and the ERN. In this study, 176 participants from a relatively large longitudinal study performed a Flanker task at age 15 years to measure the ERN. At the same assessment time, parenting style was assessed via parent report using the Parenting Styles and Dimension Questionnaire (PSDQ). Parents reported on their highest level of education which was used as an indicator of household SES. Authoritarian and permissive parenting scores each significantly moderated the relation between maternal education and ERN amplitudes, but in both cases this moderation differed by child sex. There were no significant direct associations between maternal education and ERN amplitude or between parenting scores and ERN amplitude. Overall, findings may suggest sex differences in the impact of social context on error monitoring development. This study highlights (1) that parenting behaviors may modulate the impact of SES on cognitive control and and (2) the importance of considering sex differences when examining the interplay between SES, parenting, and cognitive control.

Beyond the Score: Exploring the Associations Between Adverse Childhood Experiences and Electrophysiological Responses to Errors

Adverse childhood experiences (ACEs) have diverse effects on physical development and mental health. This study aimed to clarify the relationship between the quantity of ACE exposure, type of ACE exposure, and subjective level of stress felt, correlated with event-related potential activity across the scalp, while controlling for relevant confounding variables. Fifty-three participants aged 18-32 years completed questionnaires assessing their current mental health, self-regulation, childhood socioeconomic status, and history of traumatic events. Electroencephalographic activity was recorded while participants completed the Combined Attention Systems Task, a modified flanker task. Using cluster-corrected robust statistical approaches, significant relationships existed between the total number of ACEs, ACE type, the subjective impact of trauma, and amplitudes during the error-related negativity (ERN) and error positivity (Pe) at various scalp locations. In the ERN time window, greater error-correct differences were associated with greater total ACEs, abuse, and other ACEs at C5, P9, and TP10/C1 clusters, respectively. In addition, reduced error-correct differences at cluster-maximal C2 during the timing of the Pe were related to experiencing greater numbers of total ACEs while increased error-correct differences at cluster-maximal FPz during the timing of the Pe were associated with greater numbers of other ACEs. The subjective impact of total number of ACEs was not associated with error-correct differences, however, the subjective impact of household dysfunction, abuse, and 'other' ACE types were linked to error-correct differences at various scalp locations and timings. Notably, increased, rather than decreased, subjective impact of household dysfunction was related to greater error-correct differentiation during the timing of the ERN, maximal at Cz. These results suggest that both ACE type and subjective rating are relevant to future outcomes. The effects extended beyond the ERN-affecting error-related positivity and later event-related potentials-indicating associations with the number, type, and subjective impact of ACEs across a larger time window and scalp topography.

Neural correlates of prospective memory in college students with anxiety

Introduction

Prospective memory (PM) is the ability to create and execute future tasks. It is comprised of two components: cue detection and intention retrieval. PM is essential for performing high-level goals, a proficiency extremely important in college populations. Anxiety is a prevalent psychological experience in college populations that may be associated with impairments in PM. The present study examined PM performance and anxiety in college students, using neurophysiology to measure the mechanism of impairment.

Methods

After self-reporting anxiety levels, 80 participants completed an event-based, focal PM task while two event-related potentials were recorded from an electroencephalogram: the N300 to assess cue detection, and the prospective positivity to assess intention retrieval.

Results

The results demonstrated that, when controlling for age and gender, higher state anxiety was significantly associated with lower PM accuracy (β = -0.27, p = 0.020) and lower prospective positivity amplitude (β = -0.04, p = 0.021). Lower prospective positivity amplitude was significantly associated with lower PM accuracy (β = 0.27, p = 0.015). Higher state anxiety was significantly indirectly associated with lower PM accuracy mediated by lower prospective positivity amplitude (ab = -0.11, p = 0.047).

Discussion

These findings suggest intention retrieval could be a key component in supporting PM for college students with high state anxiety.

A systematic review on the relationship between socioeconomic conditions and emotional disorder symptoms during Covid-19: unearthing the potential role of economic concerns and financial strain

BACKGROUND

Covid-19 has disrupted the lives of many and resulted in high prevalence rates of mental disorders. Despite a vast amount of research into the social determinants of mental health during Covid-19, little is known about whether the results are consistent with the social gradient in mental health. Here we report a systematic review of studies that investigated how socioeconomic condition (SEC)-a multifaceted construct that measures a person's socioeconomic standing in society, using indicators such as education and income, predicts emotional health (depression and anxiety) risk during the pandemic. Furthermore, we examined which classes of SEC indicators would best predict symptoms of emotional disorders.

METHODS

Following PRISMA guidelines, we conducted search over six databases, including Scopus, PubMed, etc., between November 4, 2021 and November 11, 2021 for studies that investigated how SEC indicators predict emotional health risks during Covid-19, after obtaining approval from PROSPERO (ID: CRD42021288508). Using Covidence as the platform, 362 articles (324 cross-sectional/repeated cross-sectional and 38 longitudinal) were included in this review according to the eligibility criteria. We categorized SEC indicators into 'actual versus perceived' and 'static versus fluid' classes to explore their differential effects on emotional health.

RESULTS

Out of the 1479 SEC indicators used in these 362 studies, our results showed that 43.68% of the SEC indicators showed 'expected' results (i.e., higher SEC predicting better emotional health outcomes); 51.86% reported non-significant results and 4.46% reported the reverse. Economic concerns (67.16% expected results) and financial strains (64.16%) emerged as the best predictors while education (26.85%) and living conditions (30.14%) were the worst.

CONCLUSIONS

This review summarizes how different SEC indicators influenced emotional health risks across 98 countries, with a total of 5,677,007 participants, ranging from high to low-income countries. Our findings showed that not all SEC indicators were strongly predictive of emotional health risks. In fact, over half of the SEC indicators studied showed a null effect. We found that perceived and fluid SEC indicators, particularly economic concerns and financial strain could best predict depressive and anxiety symptoms. These findings have implications for policymakers to further understand how different SEC classes affect mental health during a pandemic in order to tackle associated social issues effectively.

The effect of hair type and texture on electroencephalography and event-related potential data quality

Research utilizing event-related potential (ERP) methods is generally biased with regard to sample representativeness. Among the myriad of factors that contribute to sample bias are researchers' assumptions about the extent to which racial differences in hair texture, volume, and style impact electrode placement, and subsequently, study eligibility. The current study examines these impacts using data collected from n = 213 individuals ages 17-19 years, and offers guidance on collection of ERP data across the full spectrum of hair types. Individual differences were quantified for hair texture using a visual scale, and for hair volume by measuring the amount of gel used in cap preparation. Electroencephalography data quality was assessed with multiple metrics at the preprocessing, post-processing, and variable generation stages. Results indicate that hair volume is associated with small, but systematic differences in signal quality and signal amplitude. Such differences are highly problematic as they could be misattributed to cognitive differences among groups. However, inclusion of gel volume as a covariate to account for individual differences in hair volume significantly reduced, and in most cases eliminated, group differences. We discuss strategies for overcoming real and perceived technical barriers for researchers seeking to achieve greater inclusivity and representativeness in ERP research.

Impact of Early Childhood Malnutrition on Adult Brain Function: An Evoked-Related Potentials Study

More than 200 million children under the age of 5 years are affected by malnutrition worldwide according to the World Health Organization. The Barbados Nutrition Study (BNS) is a 55-year longitudinal study on a Barbadian cohort with histories of moderate to severe protein-energy malnutrition (PEM) limited to the first year of life and a healthy comparison group. Using quantitative electroencephalography (EEG), differences in brain function during childhood (lower alpha1 activity and higher theta, alpha2 and beta activity) have previously been highlighted between participants who suffered from early PEM and controls. In order to determine whether similar differences persisted into adulthood, our current study used recordings obtained during a Go-No-Go task in a subsample of the original BNS cohort [population size (N) = 53] at ages 45-51 years. We found that previously malnourished adults [sample size (n) = 24] had a higher rate of omission errors on the task relative to controls (n = 29). Evoked-Related Potentials (ERP) were significantly different in participants with histories of early PEM, who presented with lower N2 amplitudes. These findings are typically associated with impaired conflict monitoring and/or attention deficits and may therefore be linked to the attentional and executive function deficits that have been previously reported in this cohort in childhood and again in middle adulthood.

The reliability of visual ERP components in children across the first year of school

Event-related potentials (ERPs) are increasingly used as neurophysiological markers of perceptual and cognitive processes conveying risk for psychopathology. However, little is known about the reliability of ERP components during childhood, a time of substantial brain maturation. In the present study, we examine the early visual ERP components (P1, N170, VPP), frequently examined as indicators of attentional bias, for 110 children at kindergarten (T1) and first grade (T2). Children performed a Go/Nogo task at both time points, with exact stimuli changed to reduce habituation. All components showed increases in absolute amplitude and the P1 and VPP also showed decreases in latency. Retest reliability across time was good to very good for amplitude measures (Pearson rs ranging from .54 for N170 to .69 for P1) and low to very good for latencies (rs from .34 for P1 to .60 for N170), despite the change in visual stimuli. Although there was some evidence of moderation by sex, early visual ERP components appear to be a reliable measure of individual differences in attention processing in middle childhood. This has implications for the use of early visual ERP components as trait-like markers for individual differences in perceptual processes in developmental research.