Abildtrupdalby2814

Interest in automatic associations of exercise and physical activity as potential contributors to behavior is rising. However, the measurement of these associations presents a challenge, since the reliability and validity of behavioral tests (despite their widespread usage) is unsatisfactory by most accounts. As a possible alternative, an electroencephalographic (EEG) index (i.e., P3b amplitude) was examined in the present study.

We used a mixed-factor design, with one group of insufficiently and one group of sufficiently physically active participants being compared across different experimental conditions.

Thirty-seven insufficiently and thirty-six sufficiently active participants viewed exercise-related images presented within series of negative, neutral, or positive images and rated all images as negative (unpleasant) or positive (pleasant) while EEG recordings were obtained. The amplitude of the P3b component of the EEG-derived event-related potential, time-locked to the onset of exercise images in associations of exercise stimuli.Individual differences in fear learning are a crucial prerequisite for the translational value of the fear-conditioning model. In a representative sample (N = 936), we used latent class growth models to detect individual differences in associative fear learning. For a series of subsequent test phases varying in ambiguity (i.e., acquisition, extinction, generalization, reinstatement, and re-extinction), conditioned responding was assessed on three response domains (i.e., subjective distress, startle responding, and skin conductance). We also associated fear learning across the different test phases and response domains with selected personality traits related to risk and resilience for anxiety, namely Harm Avoidance, Stress Reaction, and Wellbeing (MPQ; Tellegen and Waller, 2008). Heterogeneity in fear learning was evident, with fit indices suggesting subgroups for each outcome measure. Identified subgroups showed adaptive, maladaptive, or limited-responding patterns. For subjective distress, fear and safety learning was more maladaptive in the subgroups high on Harm Avoidance, while more adaptive learning was observed in subgroups with medium Harm Avoidance and the limited- or non-responders were lowest in Harm Avoidance. Distress subgroups did not differ in Stress Reaction or Wellbeing. Startle and SCR subgroups did not differ on selected personality traits. The heterogeneity in fear-learning patterns resembled risk and resilient anxiety development observed in real life, which supports the associative fear-learning paradigm as a useful translational model for pathological fear development.Emotion intensity is important for emotional regulation process. The studies in this literature, however, have generally focused on the down-regulation of negative emotions. Few studies have examined the down-regulation of positive emotions. Distraction and expressive suppression belong to disengagement strategies, which direct coping efforts away from emotions. Participants are more likely to select distraction and expressive suppression when motivated to down-regulate their emotions. Therefore, this study aimed to assess the impact of emotional intensity on down-regulating positive emotions via distraction and expressive suppression. The event-related potentials (ERPs) of college students were recorded while they were instructed to down-regulate positive emotions using expressive suppression or distraction versus free viewing when exposed to high- and low-intensity pleasant stimuli. Subsequently, participants were instructed to rate their positive experience using a 9-point scale. Supporting our predictions, behavioral results showed that both strategies could dramatically reduce high-intensity positive experience relative to viewing, and distraction led to a larger reduction of high-intensity positive experience than expressive suppression. Both strategies could not decrease low-intensity positive experience relative to viewing. ERP results showed that distraction successfully attenuated the early (500-700 ms) and late (700-1500 ms) stage of late positive potential (LPP) in high-intensity, and in low-intensity it modulated the early (but not late) LPP relative to viewing. Unexpectedly, expressive suppression effectively attenuated the early and late LPP in high- and low-intensity relative to viewing. The findings suggest that expressive suppression and distraction can effectively down-regulate positive emotions; however, distraction is more susceptible to emotional intensity and time.Extending Başar's theory of event-related EEG oscillations, here we hypothesize that even in quiet wakefulness, transient increases in delta rhythms may enhance global cortical arousal as revealed by the desynchronization of alpha rhythms in normal (Nold) seniors with some derangement in Alzheimer's disease dementia (ADD). Clinical and EEG datasets in 100 ADD and 100 Nold individuals matched as demography, education, and gender were taken from an international archive. Scutellarin in vitro Standard delta ( less then 4 Hz) and alpha1 (8-10.5 Hz) bands were used for the main analysis, while alpha2 (10.5-13 Hz), theta (4-8 Hz), beta1 (13-20 Hz), beta2 (20-35 Hz), and gamma (35-40 Hz) served as controls. In the interpretation, the higher the alpha1 power (density), the lower that arousal. As expected, when compared to the Nold group, the ADD group showed higher global (scalp) power density at the delta-theta band and lower global power density at the alpha-beta bands. As novel findings, we observed that (1) in the Nold group, the global delta and alpha1-2 power were negatively and linearly correlated; (2) in the ADD group, this correlation was just marginal; and (3) in both Nold and AD groups, the EEG epochs with the highest delta power (median value for stratification) were associated with the lowest global alpha1 power. This effect was related to eLORETA freeware solutions showing maximum alpha1 source activations in posterior cortical regions. These results suggest that even in quiet wakefulness, delta and alpha rhythms are related to each other, and ADD partially affects this cross-band neurophysiological mechanism.