A longitudinal examination of executive function abilities, attention-deficit/hyperactivity disorder, and puberty in adolescence.

Executive function (EF) abilities have been linked to numerous important life outcomes. We longitudinally characterized EF and attention-deficit/hyperactivity disorder (ADHD) trajectories across adolescence (initial ages 8-19). Utilizing 3 years of annual data in 99 youth collected between years 2016 and 2020 (70.7% White, 40 females), we examined how age, puberty, and ADHD symptom burden related to EF across time. Age and puberty levels interacted to predict EF such that older youth with higher puberty had lower EF. While EF and ADHD significantly predicted each other, cross-lagged panel models revealed that earlier EF predicted later ADHD burden while controlling for baseline ADHD burden, but not vice versa. These findings inform our understanding of the dynamics between EF and mental health in adolescence.

Bidirectional longitudinal relations between executive function and social function across adolescence.

Executive function (EF) and social function are both critical skills that continue to develop through adolescence and are strongly predictive of many important life outcomes. Longstanding empirical and theoretical work has suggested that EF shapes social function. However, there is little empirical work on this topic in adolescence, despite both EF and social function continuing to mature into early adulthood (e.g., Bauer et al., 2017). Further, adolescence might be a phase of life where social interactions can shape EF. We tested the longitudinal relation between EF and social function across adolescence utilizing a sample of 99 individuals (8-19 years) from the greater Austin area tested annually for 3 consecutive years. Although EF showed significant improvement in that span, the social function was largely consistent over age. Cross-lagged panel models revealed a bidirectional relation, such that Year 1 EF predicted social function in Year 2, and social function at Years 1 and 2 predicted EF in Year 3. When examining different components of social function, social motivation in earlier adolescence seemed to most consistently predict future EF outcomes, relative to other social functions. Our findings advance the field's theoretical understanding of how these two critical skills might develop alongside one another over adolescent development with particular emphasis on the role of social motivation on EF maturation. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Examination of Pre-pandemic Measures on Youth Well-being During Early Stages of the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic has affected our lives in numerous ways. How youth have been impacted by the pandemic and which preexisting factors best relate to COVID-19 responses are of high importance for effective identification and treatment of those most vulnerable. Youth with pre-pandemic mental health difficulties such as attention-deficit/hyperactivity disorder (ADHD) could be at risk for worse well-being during and after the pandemic. METHODS: The current study tested potential risk factors (i.e., pre-pandemic mental health, age, and parental education) and their relationship to family experiences during early months of the COVID-19 pandemic. Participants were previously enrolled in an ongoing, yearly longitudinal study examining the relationship between mental health and executive functions in youth. Families with 1-4 annual pre-pandemic lab visits filled out an online COVID-19 survey in May-July 2020 to assess how the pandemic impacted their well-being (n = 135 youth). RESULTS: Youth pre-pandemic mental health difficulties, especially ADHD symptoms, related to worse well-being during the early pandemic. Trajectories of recent ADHD symptoms over time also predicted cognitive difficulties during the pandemic. We found that youth age was a strong predictor of pandemic response, with younger youth showing fewer negative responses. Parental education level buffered family economic impact during early COVID-19. Families showed synchrony in their pandemic responses. CONCLUSIONS: Pre-pandemic ADHD severity and slope, youth age, and parental education (a proxy for socioeconomic status) were risk factors that influenced youth or family well-being early in the COVID-19 pandemic; this information can help identify those who may need more community and educational support.

Error-signaling in the developing brain.

While learning from mistakes is a lifelong process, the rate at which an individual makes errors on any given task decreases through late adolescence. Previous fMRI adult work indicates that several control brain networks are reliably active when participants make errors across multiple tasks. Less is known about the consistency and localization of error processing in the child brain because previous research has used single tasks. The current analysis pooled data across three studies to examine error-related task activation (two tasks per study, three tasks in total) for a group of 232 children aged 8-17 years. We found that, consistent with the adult literature, the majority of applied cingulo-opercular brain regions, including medial superior frontal cortex, dorsal anterior cingulate, and bilateral anterior insula, showed consistent error processing engagement in children across multiple tasks. Error-related activity in many of these cingulo-opercular regions correlated with task performance. However, unlike in the adult literature, we found a lack of error-related activation across tasks in dorsolateral frontal areas, and we also did not find any task-consistent relations with age in these regions. Our findings suggest that the task-general error processing signal in the developing brain is fairly robust and similar to adults, with the exception of lateral frontal cortex.

Pediatric ADHD symptom burden relates to distinct neural activity across executive function domains.

Attention-deficit/hyperactivity disorder (ADHD) is a prevalent childhood disorder marked by inattention and/or hyperactivity symptoms. ADHD may also relate to impaired executive function (EF), but is often studied in a single EF task per sample. The current study addresses the question of unique vs. overlapping relations in brain activity across multiple EF tasks and ADHD symptom burden. Three in-scanner tasks drawn from distinct EF domains (cognitive flexibility, working memory, and inhibition) were collected from children with and without an ADHD diagnosis (N = 63). Whole-brain activity and 11 regions of interest were correlated with parent reports of inattention and hyperactivity symptoms. Across the three EF domains, brain activity related to ADHD symptom burden, but the direction and location of these associations differed across tasks. Overall, activity in sensory and default mode network regions related to ADHD, and these relations did not consistently overlap across EF domains. We observed both distinct and overlapping patterns for inattention and hyperactivity symptoms. By studying multiple EF tasks in the same sample, we identified a heterogenous neural profile related to attention symptom burden in children. Our results inform ADHD characterization and treatment and explain some of the variable brain results related to EF and ADHD reported in the literature.

Stacking the evidence: Parents' use of acoustic packaging with preschoolers.

Segmenting continuous events into discrete actions is critical for understanding the world. As infants may lack top-down knowledge of event structure, caregivers provide audiovisual cues to guide the process, aligning action descriptions with event boundaries to increase their salience. This acoustic packaging may be specific to infant-directed speech, but little is known about when and why the use of this cue wanes. We explore whether acoustic packaging persists in parents' teaching of 2.5-5.5-year-old children about various toys. Parents produced a smaller percentage of action speech relative to studies with infants. However, action speech largely remained more aligned to action boundaries relative to non-action speech. Further, for the more challenging novel toys, parents modulated their use of acoustic packaging, providing it more for those children with lower vocabularies. Our findings suggest that acoustic packaging persists beyond interactions with infants, underscoring the utility of multimodal cues for learning, particularly for less knowledgeable learners in challenging learning environments.

Brain activity in struggling readers before intervention relates to future reading gains.

Neural markers for reading-related changes in response to intervention could inform intervention plans by serving as a potential index of the malleability of the reading network in struggling readers. Of particular interest is the role of brain activation outside the reading network, especially in executive control networks important for reading comprehension. However, it is unclear whether any intervention-related executive control changes in the brain are specific to reading tasks or reflect more domain general changes. Brain changes associated with reading gains over time were compared for a sentence comprehension task as well as for a non-lexical executive control task (a behavioral inhibition task) in upper-elementary struggling readers, and in grade-matched non-struggling readers. Functional MRI scans were conducted before and after 16 weeks of reading intervention. Participants were grouped as improvers and non-improvers based on the consistency and size of post-intervention gains across multiple post-test measures. Engagement of the right fusiform during the reading task, both before and after intervention, was related to gains from remediation. Additionally, pre-intervention activation in regions that are part of the default-mode network (precuneus) and the fronto-parietal network (right posterior middle temporal gyrus) separated improvers and non-improvers from non-struggling readers. None of these differences were observed during the non-lexical inhibitory control task, indicating that the brain changes seen related to intervention outcome in struggling readers were specific to the reading process.

Control Engagement During Sentence and Inhibition fMRI Tasks in Children With Reading Difficulties.

Recent reading research implicates executive control regions as sites of difference in struggling readers. However, as studies often employ only reading or language tasks, the extent of deviation in control engagement in children with reading difficulties is not known. The current study investigated activation in reading and executive control brain regions during both a sentence comprehension task and a nonlexical inhibitory control task in third-fifth grade children with and without reading difficulties. We employed both categorical (group-based) and individual difference approaches to relate reading ability to brain activity. During sentence comprehension, struggling readers had less activation in the left posterior temporal cortex, previously implicated in language, semantic, and reading research. Greater negative activity (relative to fixation) during sentence comprehension in a left inferior parietal region from the executive control literature correlated with poorer reading ability. Greater comprehension scores were associated with less dorsal anterior cingulate activity during the sentence comprehension task. Unlike the sentence task, there were no significant differences between struggling and nonstruggling readers for the nonlexical inhibitory control task. Thus, differences in executive control engagement were largely specific to reading, rather than a general control deficit across tasks in children with reading difficulties, informing future intervention research.

Perceptual biases during cued task switching relate to decision process differences between children and adults.

Previous work suggests that children engage preparatory processing differently than adults in cued task switching. One potential consequence is that they are differentially biased by visual properties of the stimuli, for example, target-choice similarity. We tested this possibility in 215 children and young adults ranging from 6 to 27 years of age. Participants played a cue-target game with varying levels of working memory and attentional demand where they matched multidimensional stimuli according to a cued dimension. Younger age, low working memory demand, and matching fine grained dimensions (i.e., pattern) increased the bias of target-choice similarity on task performance. Older age, high working memory, and matching global dimensions (i.e., shape) mitigated the bias. Developmental transitions to adult performance differed by task demands but generally occurred during adolescence. A drift diffusion analysis revealed age and task differences in decision making strategies consistent with how similarity impacted task performance, indicating that, especially with low working memory demand, children made impulsive, similarity-driven decisions. Our findings support the idea that children engage in preparation strategies that exacerbate perceptual biases on task performance; improvements are observed with age or through changes in task structure and stimuli. These results have implications for interpreting cognitive control performance in children. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Consistent Performance Differences between Children and Adults Despite Manipulation of Cue-Target Variables.

Two behavioral experiments assessed the plasticity and short-term improvement of task switching in 215 children and adults. Specifically, we studied manipulations of cued attention to different features of a target stimulus as a way to assess the development of cognitive flexibility. Each experiment had multiple levels of difficulty via manipulation of number of cued features (2-4) and number of response options (2 or 4). Working memory demand was manipulated across the two experiments. Impact of memory demand and task level manipulations on task accuracy and response times were measured. There were three overall goals: First, these task manipulations (number of cued features, response choices, and working memory load) were tested to assess the stability of group differences in performance between children ages 6-16 years and adults 18-27 years, with the goal of reducing age group differences. Second, age-related transitions to adult-level performance were examined within subgroups of the child sample. Third, short-term improvement from the beginning to the end of the study session was measured to probe whether children can improve with task experience. Attempts to use task manipulations to reduce age differences in cued task switching performance were unsuccessful: children performed consistently worse and were more susceptible to task manipulations than adults. However, across both studies, adult-like performance was observed around mid-adolescence, by ages 13-16 years. Certain task manipulations, especially increasing number of response options when working memory demand was low, produced differences from adults even in the oldest children. Interestingly, there was similar performance improvement with practice for both child and adult groups. The higher memory demand version of the task (Experiment 2) prompted greater short-term improvement in accuracy and response times than the lower memory demand version (Experiment 1). These results reveal stable differences in cued switching performance over development, but also relative flexibility within a given individual over time.

Children's head motion during fMRI tasks is heritable and stable over time.

Head motion during fMRI scans negatively impacts data quality, and as post-acquisition techniques for addressing motion become increasingly stringent, data retention decreases. Studies conducted with adult participants suggest that movement acts as a relatively stable, heritable phenotype that serves as a marker for other genetically influenced phenotypes. Whether these patterns extend downward to childhood has critical implications for the interpretation and generalizability of fMRI data acquired from children. We examined factors affecting scanner motion in two samples: a population-based twin sample of 73 participants (ages 7-12 years) and a case-control sample of 32 non-struggling and 78 struggling readers (ages 8-11 years), 30 of whom were scanned multiple times. Age, but not ADHD symptoms, was significantly related to scanner movement. Movement also varied as a function of task type, run length, and session length. Twin pair concordance for head motion was high for monozygotic twins and moderate for dizygotic twins. Cross-session test-retest reliability was high. Together, these findings suggest that children's head motion is a genetically influenced trait that has the potential to systematically affect individual differences in BOLD changes within and across groups. We discuss recommendations for future work and best practices for pediatric neuroimaging.