A neurocognitive account of attentional control theory: how does trait anxiety affect the brain's attentional networks?

The influence of depression and anxiety on cognition in people with multiple sclerosis: a cross-sectional analysis

There are conflicting findings about the relationships between depression, anxiety, and cognitive dysfunction in people with multiple sclerosis (MS), and a paucity of research has examined the cumulative influence on cognition of depression plus anxiety. This study aimed to determine whether elevated symptoms of depression and anxiety alone or in combination are associated with worse cognition in people with MS. In this cross-sectional analysis, people with MS consecutively seen at a tertiary neuropsychiatry clinic completed the Hospital Anxiety and Depression Scale for symptoms of depression (HADS-D) and anxiety (HADS-A), and the Minimal Assessment of Cognitive Function in MS for cognitive indices. Accounting for covariates, regression models predicted cognitive indices from scores for HADS-D, HADS-A, and the interaction. Of 831 people with MS, 72% were female, mean age was 43.2 years, and median Expanded Disability Status Scale score was 2.0. Depressive symptoms were independently predictive of lower verbal fluency (Controlled Oral Word Association Test, p < 0.01), verbal learning (California Verbal Learning Test-II (CVLT-II) total learning, p = 0.02), verbal delayed recall (CVLT-II delayed recall, p < 0.01), and processing speed (Symbol Digit Modalities Test, p < 0.01; three-second Paced Auditory Serial Addition Test (PASAT), p = 0.05; two-second PASAT, p = 0.01). Anxiety in people with depression predicted decreased visuospatial function (Judgment of Line Orientation, p = 0.05), verbal learning (p < 0.01), verbal delayed recall (p < 0.01), visuospatial recall (Brief Visuospatial Memory Test-Revised, p = 0.02), and executive function (Delis-Kaplan Executive Function System, p < 0.01). Anxiety alone was not independently predictive of cognition. In conclusion, depression, especially with comorbid anxiety, is associated with cognitive dysfunction in people with MS.

Anxiety Symptoms in Young Children Are Associated With a Maladaptive Neurobehavioral Profile of Error Responding

BACKGROUND

Childhood anxiety symptoms have been linked to alterations in cognitive control and error processing, but the diverse findings on neural markers of anxiety in young children, which vary by severity and developmental stage, suggest the need for a wider perspective. Integrating new neural markers with established ones, such as the error-related negativity, the error positivity, and frontal theta, could clarify this association. Error-related alpha suppression (ERAS) is a recently proposed index of post-error attentional engagement that has not yet been explored in children with anxiety.

METHODS

To identify neurobehavioral profiles of anxiety in young children by integrating ERAS with the error-related negativity, error positivity, frontal theta, and post-error performance indicators, we employed K-means clustering as an unsupervised multimetric approach. For this, we first aimed to confirm the presence and scalp distribution of ERAS in young children. We performed event-related potentials and spectral analysis of electroencephalogram data collected during a Go/NoGo task (Zoo Task) completed by 181 children (ages 4-7 years; 103 female) who were sampled from across the clinical-to-nonclinical range of anxiety severity using the Child Behavior Checklist.

RESULTS

Results confirmed ERAS, showing lower post-error alpha power, maximal suppression at occipital sites, and less ERAS in younger children. K-means clustering revealed that high anxiety and younger age were associated with reduction in ERAS and frontal theta, less negative error-related negativity, enlarged error positivity, more post-error slowing, and reduced post-error accuracy.

CONCLUSIONS

Our findings indicate a link between ERAS, maladaptive neural mechanisms of attention elicited by errors, and anxiety in young children, suggesting that anxiety may arise from or interfere with attention and error processing.

Trait anxiety predicting the developmental trajectories of depression symptoms in children: The mediating role of attentional control

Trait anxiety and attentional control are important factors related to depression symptoms. The study investigated how trait anxiety and attentional control predicted the trajectories of depression symptoms during the transition into early adolescence. The mediating effect of attentional control on the relationship of trait anxiety to the trajectories of depression symptoms was also examined. Children of 9 to 10 years were recruited at Time 1. Trait anxiety, attentional control, and depression symptoms were assessed at Time 1. Depression symptoms were measured at three follow-up assessments across 18 months. Latent class growth modeling revealed high (14.4%) and low (85.6%) trajectories of depression symptoms. Higher trait anxiety and lower attentional control predicted a higher likelihood of showing the trajectory of high depressive symptoms. Attentional control mediated the relationship of trait anxiety to the trajectory membership of depression symptoms. The findings had important implications for the association of trait anxiety with the trajectory membership of depression symptoms and highlighted the importance of attentional control in the development of depression symptoms for children with high trait anxiety.

Ovarian hormones reduce the negative association between worry and cognitive control: A combined neural and behavioral investigation

BACKGROUND

Increased reactivity to response conflict and errors, processes governed by the dorsal anterior cingulate cortex (dACC), have both been implicated in anxiety. Anxiety is also more common in females than males. Importantly, natural changes in ovarian hormones levels are related to fluctuations in anxiety symptoms in healthy and clinical populations, and ovarian hormones likely modulate prefrontal cortex structure and function. No studies, however, have examined the role of fluctuating ovarian hormones in the association between anxiety and cognitive control across the menstrual cycle.

METHODS

In this multimodal proof-of-concept study, naturally cycling females (N = 30 twins from 14 complete twin pairs and 2 participants whose co-twin was not in the final sample; age 18-29) provided saliva samples to assay for estradiol and progesterone and completed the Penn State Worry Questionnaire for 35 consecutive days. At two time points, during projected pre-ovulatory and post-ovulatory phases, they also completed the Flanker task while undergoing functional magnetic resonance imaging to probe cognitive control-related dACC activity. Multilevel modeling was used to examine within- and between-person effects of hormones and worry on cognitive-control indices.

RESULTS

On days when estradiol and progesterone were low relative to a female's own average (i.e., within-subjects effect), worry was associated with greater flanker interference. In females with higher estradiol and progesterone levels compared to other females (i.e., between-subject effects), worry was associated with less error-related dACC activity, irrespective of the day that dACC activity was assessed.

CONCLUSION

Findings suggest a protective effect of ovarian hormones on the link between worry and cognitive control. Associations between worry and conflict-monitoring were sensitive to daily hormonal fluctuations (within-person states), whereas associations between worry and error-monitoring were sensitive to mean hormone levels (between-person traits), suggesting that ovarian hormones are critical to consider in studies examining associations between anxiety and cognitive control in females.

Cognitive trajectories in longitudinally trained 3xTg-AD mice

Preclinical studies in Alzheimer's disease (AD) often rely on cognitively naïve animal models in cross-sectional designs that can fail to reflect the cognitive exposures across the lifespan and heterogeneous neurobehavioral features observed in humans. To determine whether longitudinal cognitive training may affect cognitive capacities in a well-characterized AD mouse model, 3xTg and wild-type mice (n = 20) were exposed daily to a training variant of the Go-No-Go (GNG) operant task from 3 to 9 months old. At 3, 6, and 9 months, performance on a testing variant of the GNG task and anxiety-like behaviors were measured, while long-term recognition memory was also assessed at 9 months. In general, GNG training improved performance with increasing age across genotypes. At 3 months old, 3xTg mice showed slight deficits in inhibitory control that were accompanied by minor improvements in signal detection and decreased anxiety-like behavior, but these differences did not persist at 6 and 9 months old. At 9 months old, 3xTg mice displayed minor deficits in signal detection, and long-term recognition memory capacity was comparable with wild-type subjects. Our findings indicate that longitudinal cognitive training can render 3xTg mice with cognitive capacities that are on par with their wild-type counterparts, potentially reflecting functional compensation in subjects harboring AD genetic mutations.

Trait Anxiety, Emotion Regulation, and Metacognitive Beliefs: An Observational Study Incorporating Separate Network and Correlation Analyses to Examine Associations with Executive Functions and Academic Achievement

Trait anxiety, emotion regulation strategies, and metacognitive beliefs influence executive functions (EFs) and academic achievement. This study examines their interplay and impact on academic success. In total, 275 adolescents (10-17 years) and parents completed an online questionnaire assessing trait anxiety, emotion regulation strategies, metacognition, parent-reported behaviors related to executive functioning, and overall school average. Preliminary analyses confirmed consistency with the existing literature for each variable and their interaction. Furthermore, we conducted a network analysis among the main variables. This analysis supports the need to pay more attention to reflective variables-maladaptive emotion regulation strategies and metacognitive beliefs about worry-when studying trait anxiety. These variables were linked to problematic executive functioning in adolescents, and the latter was negatively linked to academic achievement. This study offers innovative insights by investigating relationships less explored in the scientific literature. It reveals high and significant correlations between metacognitive beliefs, maladaptive emotion regulation strategies, and trait anxiety (r > 0.500, p < 0.001) but also between these variables and both executive functioning and academic achievement. These findings offer new perspectives for research and underscore the importance of holistically examining the psychological factors related to academic success.

Task and Resting-State Functional Connectivity Predict Driving Violations

Aberrant driving behaviors cause accidents; however, there is a lack of understanding of the neural mechanisms underlying these behaviors. To address this issue, a task and resting-state functional connectivity was used to predict aberrant driving behavior and associated personality traits. The study included 29 right-handed participants with driving licenses issued for more than 1 year. During the functional magnetic resonance imaging experiment, participants first recorded their resting state and then watched a driving video while continuously rating the risk and speed on each block. Functional connectome-based predictive modeling was employed for whole brain tasks and resting-state functional connectivity to predict driving behavior (violation, error, and lapses), sensation-seeking, and impulsivity. Resting state and task-based functional connectivity were found to significantly predict driving violations, with resting state significantly predicting lapses and task-based functional connectivity showing a tendency to predict errors. Conversely, neither impulsivity nor sensation-seeking was associated with functional connectivity. The results suggest a significant association between aberrant driving behavior, but a nonsignificant association between impulsivity and sensation-seeking, and task-based or resting state functional connectivity. This could provide a deeper understanding of the neural processing underlying reckless driving that may ultimately be used to prevent accidents.

Preliminary evidence for changes in frontoparietal network connectivity in the early abstinence period in alcohol use disorder: a longitudinal resting-state functional magnetic resonance imaging study

The early abstinence period is a crucial phase in alcohol use disorder (AUD) in which patients have to find a new equilibrium and may start recovery, or conversely, relapse. However, the changes in brain functions during this key period are still largely unknown. We set out to study longitudinal changes in large-scale brain networks during the early abstinence period using resting-state scans. We scanned AUD patients twice in a well-controlled inpatient setting, with the first scan taking place shortly after admission and the second scan 4 weeks (±9 days) later near the end of the treatment period. We studied 37 AUD patients (22 males) and 27 healthy controls (16 males). We focused on three networks that are affected in AUD and underly core symptom dimensions in this disorder: the frontoparietal networks (left and right FPN) and default mode network (DMN). Both the whole brain and within network connectivity of these networks were studied using dual regression. Finally, we explored correlations between these brain networks and various neuropsychological and behavioral measures. In contrast to the controls (Z = -1.081, p = 0.280), the AUD patients showed a decrease in within left FPN connectivity (Z = -2.029, p = 0.042). However, these results did not survive a strict Bonferroni correction. The decrease in left FPN connectivity during the early abstinence period in AUD may reflect an initially upregulated FPN, which recovers to a lower resting-state connectivity level during subsequent weeks of abstinence. The AUD patients showed a trend for a positive association between the change in left FPN connectivity and trait anxiety (rs = 0.303, p = 0.068), and a trend for a negative association between the change in left FPN connectivity and delay discounting (rs = -0.283, p = 0.089) (uncorrected for multiple comparisons). This suggests that the FPN might be involved in top-down control of impulsivity and anxiety, which are important risk factors for relapse. Although there were no statistically significant results (after multiple comparison correction), our preliminary findings encourage further research into the dynamic neuroadaptations during the clinically crucial early abstinence period and could inform future study designs.

Impulsiveness among Undergraduates from the United Arab Emirates and Jordan: Role of Socio-demographic Variables

BACKGROUND

Some undergraduate students may appear impulsive in their behavior without taking enough time to think, and impulsiveness may vary according to gender, academic specialization, and academic level.

OBJECTIVE

This study investigated the differences in impulsiveness between undergraduates of different gender, academic specializations, and academic years at three private universities in the United Arab Emirates and Jordan.

METHOD

The research design of the study was a survey in nature. The researchers collected data online using a translated Arabic version of the Barratt Impulsiveness Scale (BIS-11) as described in Patton et al..1 A sample of 334 undergraduates was selected using the convenient non-probability sample technique.

RESULTS

To analyze data, the researchers deployed descriptive and inferential statistics and found no significant differences between the students in the subscales of motor impulsiveness, non-planning, attentional impulsiveness, and the total scale score according to gender, academic specializations, and academic years variables.

CONCLUSION

The researchers concluded that undergraduates have a moderate level of impulsiveness; except for attentional impulsiveness, the results indicated that the average student's score on the subscale was low. Motor impulsiveness, non-planning impulsiveness, and attentional impulsiveness were not significantly different between males and females, academic specialization, academic year variables, and their interaction. The limitations and implications of these findings are discussed.