Parental Presence Impacts a Neural Correlate of Anxiety (the Late Positive Potential) in 5-7 Year Old Children: Interactions with Parental Sensitivity to Child Anxiety

Brain development mediates the relationship between self-reported poor parental monitoring and adolescent anxiety

Adolescence is the peak period for the onset of generalized anxiety disorder (GAD). Brain networks of cognitive and affective control in adolescents are not well developed when their exposure to external stimuli suddenly increases.Reasonable parental monitoring is especially important during this period.To examine the role of parental monitoring in the development of functional brain networks of GAD, we conducted a cross-validation-based predictive study based on the functional brain networks of 192 participants. We found that a set of functional brain networks, especially the default mode network and its connectivity with the frontoparietal network, could predict the ages of adolescents, which was replicated in three independent samples.Importantly, the difference between predicted age and chronological age significantly mediated the relationship between parental monitoring and anxiety levels. These findings suggest that inadequate parental monitoring plays a crucial role in the delayed development of specific brain networks associated with GAD in adolescents. Our work highlights the important role of parental monitoring in adolescent development.

Development of emotion processing and regulation: Insights from event-related potentials and implications for internalizing disorders

Emotionally-salient stimuli receive selective attention and elicit complex neural responses that evolve considerably across development. Event-related potentials (ERPs) optimally capture the dynamics of emotion processing and regulation, with sensitivity to detect changes in magnitude, latency, and maximal location across development. In this selective qualitative review, we summarize evidence of developmental changes in neural reactivity to emotional stimuli and modulation of neural responses during emotion regulation indexed by ERPs across infancy, childhood, and adolescence. The cumulative ERP literature suggests the transition from childhood to adulthood is characterized by a gradual decrease in neural reactivity to emotional stimuli and increased efficiency in attentional allocation towards emotional stimuli. Some studies show sensitivity to emotional stimuli peaks in adolescence, but the evidence is mixed. While both early (<300 ms) and late (>300 ms) ERPs demonstrate sensitivity to emotional stimuli, emotional modulation is more consistently observed in relatively later ERPs across development. The literature additionally shows improvements in regulation abilities across development, though ERP research on developmental changes in emotion regulation is still relatively limited, highlighting a critical direction for future research. Finally, we briefly discuss changes in emotion-related ERPs relevant to the emergence of depression and anxiety. Findings from this review indicate that ERPs provide abundant information about the development of emotion processing and regulation, with potential clinical utility for detecting early-emerging vulnerabilities for internalizing forms of psychopathology.

Disrupted signal variability of spontaneous neural activity in children with attention-deficit/hyperactivity disorder

Brain signal variability (BSV) has shown to be powerful in characterizing human brain development and neuropsychiatric disorders. Multiscale entropy (MSE) is a novel method for quantifying the variability of brain signal, and helps elucidate complex dynamic pathological mechanisms in children with attention-deficit/hyperactivity disorder (ADHD). Here, multiple-channel resting-state functional near-infrared spectroscopy (fNIRS) imaging data were acquired from 42 children with ADHD and 41 healthy controls (HCs) and then BSV was calculated for each participant based on the MSE analysis. Compared with HCs, ADHD group exhibited reduced BSV in both high-order and primary brain functional networks, e.g., the default mode, frontoparietal, attention and visual networks. Intriguingly, the BSV aberrations negatively correlated with ADHD symptoms in the frontoparietal network and negatively correlated with reaction time variability in the frontoparietal, default mode, somatomotor and attention networks. This study demonstrates a wide alternation in the moment-to-moment variability of spontaneous brain signal in children with ADHD, and highlights the potential for using MSE metric as a disease biomarker.