Measurement of executive functioning with the National Institute of Health Toolbox and the association to anxiety/depressive symptomatology in childhood/adolescence

Transdiagnostic Attentional Deficits Are Associated with Depressive and Externalizing Symptoms in Children and Adolescents with Neuropsychiatric Disorders

OBJECTIVE

Although inattention, impulsivity, and impairments to vigilance are most associated with attention-deficit/hyperactivity disorder (ADHD), transdiagnostic attentional deficits are prevalent across all psychiatric disorders. To further elucidate this relationship, the present study investigated parent-reported neuropsychiatric symptom correlates of attention deficits using the factor structure of the Conners' Continuous Performance Test (CPT-II), a neuropsychological test of attention.

METHOD

Two-hundred and eighteen children and adolescents (7-21 years old) completed the CPT-II as part of standard clinical protocol during outpatient pediatric neuropsychology visits. The factor structure of the CPT-II was determined with a principal component analysis (PCA) using Promax rotation. Pearson correlation analyses and regression models examined the relationship between the generated factor structure, parent-reported clinical symptoms, and pre-determined clinical diagnoses.

RESULTS

Results from the PCA suggested a three-factor model best supported the structure of the CPT-II, and were subsequently defined as inattention, impulsivity, and vigilance. Performance-based inattention was significantly correlated with parent-reported hyperactivity, aggression, conduct problems, and depression. Parent-reported depressive symptoms and conduct problems were the strongest correlates of performance-based inattention, not hyperactivity or aggression. Performance-based inattention was significantly associated with an ADHD diagnosis but not a depression or anxiety diagnosis.

CONCLUSIONS

Findings suggest attentional deficits are not specific to any one disorder. To enhance the identification, classification, and treatment of neuropsychiatric disorders, both researchers and clinicians alike must diminish the importance of categorical approaches to child/adolescent psychopathology and continue to consider the dimensionality of transdiagnostic characteristics such as inattention.

Effects of virtual reality-based cognitive training for adolescents with depressive episodes: A pilot randomized controlled study

Cognitive impairment is a common symptom in depression, yet few intervention strategies target adolescents. This study investigated the effects of an attention and working memory cognitive training system based on virtual reality (VRCT) in adolescents with mild to moderate depressive episodes. Adolescents with depression were randomized into a VR training group (VRG, n = 47) or a waitlist control group (WT, n = 46). The VR training consisted of three 10-min tasks per session, conducted three sessions per week for 20 sessions over 7 weeks. Forty-four healthy adolescents participated as a comparison group for baseline cognitive assessment. Cognitive functions and depressive symptoms were assessed using the Das-Naglieri cognitive assessment system, driven by the Planning, Attention, Simultaneous, and Successive (PASS) processing theory, and the Hamilton Depression Rating Scale-24 at pre- and post-intervention. Baseline results indicated significantly lower cognitive scores in patients compared to healthy adolescents. Post-intervention, the VRG demonstrated significant improvements in all four cognitive scales (effect sizes 0.56 to 0.76) and a significant reduction in depressive symptoms compared to the WT. These findings suggest that VRCT holds potential for improving cognitive impairments and alleviating depressive symptoms in adolescents with depression. Further large-scale and follow-up studies are necessary to confirm long-term benefits.

Effect of Sleep Restriction on Adolescent Cognition by Adiposity: A Randomized Crossover Trial

Importance

Pediatric obesity is associated with impaired cognitive function; however, the mechanisms underlying this association demand assessment. Sleep may be a relevant moderator, as poor sleep predicts both increased adiposity and impaired cognitive function.

Objective

To determine the effects of adiposity and sleep on adolescent cognitive function.

Design, Setting, and Participants

This single-blind randomized crossover trial was conducted from September 2020 to October 2022. Parents or caregivers provided demographic information for adolescent participants. Body mass index percentile and bioelectrical impedance analysis assessed adiposity. Adolescents completed 2 actigraphy-confirmed sleep conditions, adequate and restricted, followed by in-person cognitive assessment. No additional follow-up was provided. Data collection for this population-based study took place in a behavioral medicine clinic in Birmingham, Alabama. A total of 323 participants were assessed for eligibility (ages 14-19 years and healthy). Of the 244 eligible adolescents, 157 declined participation. Eighty-seven were randomized and 26 dropped out postenrollment. The final sample included 61 adolescents, 31 with healthy weight and 30 with overweight or obesity. Data were analyzed from April to October 2023.

Interventions

Following a 2-day washout period of adequate sleep, adolescents completed 2 sleep conditions: adequate (mean [SD] duration, 8 hours, 54 minutes [58.0 minutes]) and restricted (mean [SD] duration, 4 hours, 12 minutes [50.7 minutes]).

Main Outcomes and Measures

The National Institutes of Health Cognitive Toolbox assessed global and fluid cognition, cognitive flexibility, working and episodic memory, attention, and processing speed. The Stroop Task assessed inhibition.

Results

The final sample included 61 adolescents (mean [SD] age, 16.3 [1.6] years; 35 [57.4%] female). Restricted sleep predicted poorer global cognition scores (restricted mean [SD], 98.0 [2.8]; adequate mean [SD], 103.2 [2.9]), fluid cognition scores (restricted mean [SD], 94.5 [3.2]; adequate mean [SD], 102.0 [3.6]), and cognitive flexibility scores (restricted mean [SD], 84.8 [3.0]; adequate mean [SD], 92.8 [3.0]) for adolescents with overweight or obesity. No differences emerged for adolescents with healthy weight. Adolescents with overweight or obesity also had poorer attention scores (mean [SD], 80.0 [2.3]) compared to adolescents with healthy weight (mean [SD], 88.4 [SD, 2.3]) following restricted sleep. No differences emerged following adequate sleep. Findings were similar for total body fat percentage (TBF%); however, for adolescents with TBF% above 42, restricted sleep also predicted poorer processing speed, and the association between sleep and attention did not vary based on TBF%.

Conclusions and Relevance

Adolescents with overweight or obesity may be more vulnerable to negative cognitive effects following sleep restriction. Improved sleep hygiene and duration in this group may positively impact their cognitive health.

Trial Registration

ClinicalTrials.gov Identifier: NCT04346433.

Using the Mobile Toolbox in child and adolescent samples: A feasibility study

Cognitive research with developmental samples requires improved methods that support large-scale, diverse, and open science. This paper offers initial evidence to support the Mobile Toolbox (MTB), a self-administered remote smartphone-based cognitive battery, in youth populations, from a pilot sample of 99 children (Mage = 11.79 years; 36% female; 53% White, 33% Black or African American, 9% Asian, and 15% Hispanic). Completion rates (95%-99%), practice performance (96%-100%), internal consistency (0.60-0.98), and correlations with similar NIHTB measures (0.55-0.77) provide the first evidence to support the MTB in a youth sample, although there were some inconsistencies across measures. Preliminary findings provide promising evidence of the MTB in developmental populations, and further studies are encouraged.

Change in Neurocognitive Function in Patients Who Receive CAR-T Cell Therapies: A Steep Hill to Climb

Immunotherapy with chimeric antigen receptor T (CAR-T) cell therapies has brought substantial improvement in clinical outcomes in patients with relapsed/refractory B cell neoplasms. However, complications such as cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) limit the therapeutic efficacy of this treatment approach. ICANS can have a broad range of clinical manifestations, while various scoring systems have been developed for its grading. Cognitive decline is prevalent in CAR-T therapy recipients including impaired attention, difficulty in item naming, and writing, agraphia, and executive dysfunction. In this review, we aim to present the diagnostic methods and tests that have been used for the recognition of cognitive impairment in these patients. Moreover, up-to-date data about the duration of cognitive impairment symptoms after the infusion are presented. More research on the risk factors, pathogenesis, preventive measures, and therapy of neurocognitive impairment is crucial for better outcomes for our patients.

Using micro-cognition biomarkers of neurosystem dysfunction to redefine ADHD subtypes: A scalable digital path to diagnosis based on brain function

Symptom-based diagnosis does not align with underlying neruropathology, confounding new treatment development and treatment selection for individual patients. Using high precision micro-cognition biomarkers of neurosystem dysfunction acquired during digital neurotherapy (DNT), we characterized subgroups of ADHD children with different neuropathology. K-means clustering applied to 69 children 6-9 years old with ADHD using performance variables from a Go/NoGo test normalized against 58 typically developing (TD) children identified four subgroups that were validated and further characterized by micro-cognition biomarkers extracted from thousands of responses during the DNT. The clusters differed on emblematic features of ADHD. Cluster 4 showed poor response inhibition and inconsistent attention. Cluster 3 showed only poor response inhibition and the other two showed neither. Cluster 2 showed faster and more consistent responses, higher detection of simple targets and better working memory than TD children but marked performance decrements when required to track multiple targets or ignore distractors. Cluster 1 showed much greater ability recognizing members of abstract categories rather than natural categories that children learn through physical interaction with the environment while Cluster 4 was the opposite. Fine-grained, low-cost, noninvasive, and scalable digital micro-cognition biomarkers can identify patients with the same symptom-based diagnosis but differing neuropathology.

Longitudinal relations between impaired executive function and symptoms of psychiatric disorders in childhood

BACKGROUND

Malfunctioning of executive functions correlates with psychopathology in children. However, the directionality, the extent to which the relation varies for various disorders, and whether prospective relations afford causal interpretations are not known.

METHODS

A community sample of Norwegian children (n = 874) was studied biennially from the age of 6 to 14 years. Executive functions were assessed using the Behavior Rating Inventory of Executive Function Teacher-report and symptoms of psychopathology were assessed using the Preschool Age Psychiatric Assessment (age 6; parents) and Child and Adolescent Psychiatric Assessment (ages 8-14; children and parents). Prospective reciprocal relations were examined using a random intercept cross-lagged panel model that adjusts for all unobserved time-invariant confounders.

RESULTS

Even when time-invariant confounders were accounted for, reduced executive functions predicted increased symptoms of depressive disorders, anxiety disorders, attention-deficit hyperactivity disorder (ADHD), oppositional defiant disorder (ODD), and conduct disorder (CD) 2 years later, even when previous changes in these symptoms were adjusted for. The level of prediction (B = .83, 95% CI [.37, 1.3]) was not different for different disorders or ages. Conversely, reduced executive functions were predicted by increased symptoms of all disorders (B = .01, 95% CI [.01, .02]).

CONCLUSIONS

Reduced executive functioning may be involved in the etiology of depression, anxiety, ADHD, and ODD/CD to an equal extent. Moreover, increased depression, anxiety, ADHD, and ODD/CD may negatively impact executive functioning.

Relationships between Depression and Executive Functioning in Adolescents: The Moderating Role of Unpredictable Home Environment

Although researchers have explored the link between depression and executive functioning (EF), the influence of early-life environmental and relational instability on this association has not been comprehensively assessed in adolescents. This cross-sectional study examined whether unpredictability of home environment in childhood moderated the relationship between depression and EF in adolescents. Participants were 138 adolescents aged 13 to 17 years (72% female; 47.8% White; 47.1% Hispanic). Diagnostic status (major depression versus healthy control) and depression severity were assessed using psycho-diagnostic interviews and self-reports from parents and adolescents. Participants also completed the Questionnaire of Unpredictability in Childhood (QUIC). EF was assessed using self-report (Behavior Rating Inventory of Executive Function, Second Edition; BRIEF2) and a battery of performance-based measures. Results showed that QUIC scores moderated the relationship between depression and BRIEF2 scores, such that high unpredictability was associated with poorer EF for adolescents exhibiting low depression severity. Participants with the highest levels of depression exhibited the poorest EF ratings, regardless of childhood unpredictability. Unpredictability was moderately associated with performance-based measures, but did not interact with depressive symptoms to predict complex performance-based EF. Recommendations include assessing for unpredictable childhood environment and acknowledging this risk factor for poor EF in youth with sub-threshold depression. Treatment implications are discussed with respect to family systems/parenting interventions, as mildly depressed adolescents growing up in unstable homes may be vulnerable to EF difficulties. Further, this study adds to the EF measurement literature by examining associations between self-report and performance-based EF instruments in a diverse sample of adolescents.

Targeting cognitive control to reduce anxiety in very young children: A proof of concept study

OBJECTIVE

Underdeveloped cognitive control (CC)-the capacity to flexibly adjust to changing environments-may predispose some children to early onset anxiety disorders and represents a promising intervention target. The current study established and pilot-tested "Camp Kidpower"-a novel group-based, interactive CC training intervention-and assessed its impacts on behavioral and neurophysiological indices of CC among preschool children with elevated anxiety symptoms.

METHODS

Forty-four anxious children (4-6 years) were enrolled in Camp Kidpower, delivered in four sessions over 10 days. Before and after camp, children's capacity for CC was measured using well-validated, non-trained behavioral tasks and error-related negativity (ERN). Child anxiety symptoms were measured by parent report on the Spence Preschool Anxiety Scale.

RESULTS

Thirty-two children completed the study, as defined by completion of pre- and follow-up assessments and at least three camp sessions. From baseline to after camp, performance on behavioral tests of CC improved, ERN amplitude increased, and anxiety symptoms decreased.

CONCLUSION

Results provide initial evidence that play-based cognitive training targeted to behavioral and brain markers of CC reduces anxiety in preschoolers.

Examining the role of neuropsychology in community-based pediatric mental health care

Numerous investigations have demonstrated a link between neuropsychological functioning and mental health. Children with a history of neurological compromise are more vulnerable to mental illness and there is a growing literature indicating that neurocognitive functioning predicts psychosocial outcomes in adulthood. However, not much is known about how neuropsychological information is utilized in community-based mental health care. Thus, we examined what neuropsychological information is available to pediatric centers and how neuropsychological functioning relates to treatment outcomes in these settings. Two content analyses were conducted to identify mental health indicators across different intake sources and these results were compared to a structured intake. Further, a series of standardized neurocognitive and neuroemotional measures were completed and these indices were correlated with treatment outcomes. Qualitative results confirmed that neuropsychological factors are often overlooked when utilizing current approaches and that observable symptoms are a primary focus of treatment. Additionally, neurocognitive deficits were associated with self-reported interpersonal difficulties and caregivers' reports of externalizing; however, only caregiver-reported externalizing challenges correlated with treatment outcomes. Importantly, neurocognitive challenges were associated with long-term treatment responses, suggesting that these factors may be an important therapeutic target. Collectively, these findings indicate a need to incorporate neuropsychological factors in pediatric mental health treatment.

Cognitive Control Deficits in Depression: A Novel Target to Improve Suboptimal Outcomes in Childhood

Cognitive control deficits are one of three primary endophenotypes in depression, and the enhanced targeting of these deficits in clinical and research work is expected to lead to improved depression outcomes. Cognitive control is a set of self-regulatory processes responsible for goal-oriented behavior that predicts clinical/functional outcomes across the spectrum of brain-based disorders. In depression, cognitive control deficits emerge by the first depressive episode, persist during symptom remission, and worsen over the course of depression. In addition, the presence of these deficits predicts a poor response to evidence-based depression treatments, including psychotherapy and antidepressant medication. This is particularly relevant to childhood depression, as 1%-2% of children are diagnosed with depression, yet there are very limited evidence-based treatment options. Cognitive control deficits may be a previously underaddressed factor contributing to poor outcomes, although there remains a dearth of research examining the topic. The investigators describe the prior literature on cognitive control in depression to argue for the need for increased focus on this endophenotype. They then describe cognitive control-focused clinical and research avenues that would likely lead to improved treatments and outcomes for this historically undertreated aspect of childhood depression.

Cognitive Function in Adolescents and Young Adults With Youth-Onset Type 1 Versus Type 2 Diabetes: The SEARCH for Diabetes in Youth Study

OBJECTIVE

Poor cognition has been observed in children and adolescents with youth-onset type 1 (T1D) and type 2 diabetes (T2D) compared with control subjects without diabetes. Differences in cognition between youth-onset T1D and T2D, however, are not known. Thus, using data from SEARCH for Diabetes in Youth, a multicenter, observational cohort study, we tested the association between diabetes type and cognitive function in adolescents and young adults with T1D (n = 1,095) or T2D (n = 285).

RESEARCH DESIGN AND METHODS

Cognition was assessed via the National Institutes of Health Toolbox Cognition Battery, and age-corrected composite Fluid Cognition scores were used as the primary outcome. Confounder-adjusted linear regression models were run. Model 1 included diabetes type and clinical site. Model 2 additionally included sex, race/ethnicity, waist-to-height ratio, diabetes duration, depressive symptoms, glycemic control, any hypoglycemic episode in the past year, parental education, and household income. Model 3 additionally included the Picture Vocabulary score, a measure of receptive language and crystallized cognition.

RESULTS

Having T2D was significantly associated with lower fluid cognitive scores before adjustment for confounders (model 1; P < 0.001). This association was attenuated to nonsignificance with the addition of a priori confounders (model 2; P = 0.06) and Picture Vocabulary scores (model 3; P = 0.49). Receptive language, waist-to-height ratio, and depressive symptoms remained significant in the final model (P < 0.01 for all, respectively).

CONCLUSIONS

These data suggest that while youth with T2D have worse fluid cognition than youth with T1D, these differences are accounted for by differences in crystallized cognition (receptive language), central adiposity, and mental health. These potentially modifiable factors are also independently associated with fluid cognitive health, regardless of diabetes type. Future studies of cognitive health in people with youth-onset diabetes should focus on investigating these significant factors.