The relationship between chronic perceived stress and error processing: evidence from event-related potentials

Life-course stress, cognition, and diurnal cortisol in memory clinic patients without dementia

AIMS

To examine associations of life-course stress with cognition and diurnal cortisol patterns in older adulthood, as well as potential mediation effects of diurnal cortisol patterns and perceived stress on the association between life-course stress and cognition.

METHODS

127 participants without dementia were selected from a cohort of Swedish memory clinic patients. Cross-sectional associations between scores on two chronic stress questionnaires (perceived stress, stressful life events (SLEs)), five cognitive domains (overall cognition, memory, working memory, processing speed, perceptual reasoning), and two measures of diurnal cortisol patterns (total daily output, diurnal cortisol slope), as well as potential mediation effects of diurnal cortisol patterns and perceived stress on associations between life-course stress and cognition, were assessed using linear regressions.

RESULTS

Greater lifetime exposure to SLEs was associated with worse memory, working memory, and processing speed performance, but not with diurnal cortisol patterns. A greater number of SLEs in late childhood was associated with worse working memory and processing speed, while a greater number of SLEs in non-recent adulthood were associated with better overall cognition and perceptual reasoning. Greater perceived stress was associated with a flattened diurnal cortisol slope, but not with cognition. No evidence for interplay between self-reported and physiological stress markers was found in relation to cognition, although there appeared to be a significant positive indirect association between economic/legal SLEs and the diurnal cortisol slope via perceived stress.

CONCLUSIONS

The associations between SLEs and cognition depend on the period during which SLEs occur, but seem independent of late-life cortisol dysregulation.

Mental stress recognition on the fly using neuroplasticity spiking neural networks

Mental stress is found to be strongly connected with human cognition and wellbeing. As the complexities of human life increase, the effects of mental stress have impacted human health and cognitive performance across the globe. This highlights the need for effective non-invasive stress detection methods. In this work, we introduce a novel, artificial spiking neural network model called Online Neuroplasticity Spiking Neural Network (O-NSNN) that utilizes a repertoire of learning concepts inspired by the brain to classify mental stress using Electroencephalogram (EEG) data. These models are personalized and tested on EEG data recorded during sessions in which participants listen to different types of audio comments designed to induce acute stress. Our O-NSNN models learn on the fly producing an average accuracy of 90.76% (σ = 2.09) when classifying EEG signals of brain states associated with these audio comments. The brain-inspired nature of the individual models makes them robust and efficient and has the potential to be integrated into wearable technology. Furthermore, this article presents an exploratory analysis of trained O-NSNNs to discover links between perceived and acute mental stress. The O-NSNN algorithm proved to be better for personalized stress recognition in terms of accuracy, efficiency, and model interpretability.

Performance monitoring moderates the relationship between stress and negative affect in response to an exam stressor

The present longitudinal study examined the role of performance monitoring in the relationships between stress (both stress change and chronic stress) and negative affect to a real-life stressor-final exam among 60 undergraduates. Participants firstly completed a Go/No-Go task in the laboratory with electroencephalogram recordings. At T1 (31 days before the final exam), participants reported their chronic perceived stress. Then, with the daily dairy method, their daily stress level and negative affect were collected for three consecutive days. At T2 (three days before the final exam), the 3-day daily dairy was repeated. Results showed that performance monitoring, as measured by behavioral adjustments and electrophysiological correlates, moderated the effects of stress change as well as chronic perceived stress on the negative emotional response to the final exam. More specifically, as the stress change from baseline to exam increases, individuals with shorter PES, lower PEAD or larger Pe amplitudes experienced less negative affect increases in response to exam. Additionally, individuals with shorter PES or larger Pe amplitudes showed no significant relationship between chronic stress and negative affect, whereas individuals with longer PES or smaller Pe amplitudes showed significant positive relationship between chronic stress and negative affect increases in response to exam. The results demonstrated that efficient performance monitoring is a protective factor for stress.

Neurocognitive correlates of psychological resilience: Event-related potential studies

BACKGROUND

There is a growing interest in exploring the neurocognitive mechanisms that may underlie psychological resilience. However, how the bottom-up automatic information processing relates to trait resilience has received less attention. We aimed to explore the relationship between trait resilience and trait-like automatic information processing in healthy adults.

METHODS

Eighty-four healthy adults were recruited to explore whether and how resilience was related to sensory sensitivity by event-related potentials (ERPs). Resilience was measured by Connor-Davidson Resilience Scale (CD-RISC). Sensory sensitivity, more specifically, sensitivity of automatic mismatch detection was measured by two ERPs components, i.e., the mismatch negativity (MMN) with a passive auditory oddball paradigm and the error-related negativity (ERN) with an auditory Go/NoGo task. Using the multiple linear regression analyses, the relationship between self-reported resilience and the sensitivity of automatic mismatch detection (MMN/ERN amplitude/latency) was explored.

RESULTS

The results showed that psychological resilience was positively correlated with both MMN and ERN latencies, i.e., higher resilience scores were associated with delayed MMN and ERN latencies. However, resilience was not significantly correlated with MMN and ERN amplitudes.

CONCLUSIONS

Our results suggested that relatively higher resilience might link with less sensory sensitivity as reflected by slower automatic detection to mismatch information in the environment.

Effects of Trait Anxiety on Error Processing and Post-error Adjustments: An Event-Related Potential Study With Stop-Signal Task

The present study aimed to use event-related potentials with the stop-signal task to investigate the effects of trait anxiety on inhibitory control, error monitoring, and post-error adjustments. The stop-signal reaction time (SSRT) was used to evaluate the behavioral competence of inhibitory control. Electrophysiological signals of error-related negativity (ERN) and error positivity (Pe) were used to study error perception and error awareness, respectively. Post-error slowing (PES) was applied to examine the behavioral adjustments after making errors. The results showed that SSRT and PES did not differ significantly between individuals with high trait anxiety (HTA) and those with low trait anxiety (LTA). However, individuals with HTA demonstrated reduced ERN amplitudes and prolonged Pe latencies than those with LTA. Prolonged Pe latencies were also significantly associated with poorer post-error adjustments. In conclusion, HTA led to reduced cortical responses to error monitoring. Furthermore, inefficient conscious awareness of errors might lead to maladaptive post-error adjustments.

The Relationship Between Childhood Stress and Distinct Stages of Dynamic Behavior Monitoring in Adults: Neural and Behavioral Correlates

Childhood adversity is a major risk factor for emotional and cognitive disorders later in adulthood. Behavior monitoring, one of the most important components of cognitive control, plays a crucial role in flexible interaction with the environment. Here, we test a novel conceptual model discriminating between two distinct dimensions of childhood adversity (i.e., deprivation and threat) and examine their relations to dynamic stages of behavior monitoring. Sixty young healthy adults participated in this study using event-related potentials (ERPs) and the dynamic stages of behavior monitoring including response inhibition, error detection, and post-error adjustments were investigated in a classical Go/NoGo task. Multiple regression analyses revealed that participants with higher severity of childhood adversity recruited more controlled attention, as indicated by larger (more negative) conflict detection-related NoGo-N2 amplitudes and larger (more negative) error detection-related ERN amplitudes. Higher severity of childhood abuse (an indicator of threat) was related to smaller (less positive) error appraisal-related Pe amplitudes on the neural level and subsequently lower post-error accuracy on the behavioral level. These results suggested that prefrontal-supported controlled attention is influenced by universal adversity in childhood while the error-related behavioral adjustment is mainly affected by childhood abuse, indicating the dimensions of deprivation and threat are at least partially distinct.