Child Neuropsychology最新文献

Children and adolescents with neurodevelopmental disorders demonstrate extensive cognitive heterogeneity that is not adequately captured by traditional diagnostic systems, emphasizing the need for alternative assessment and classification techniques. Using a transdiagnostic approach, a retrospective cohort study of cognitive functioning was conducted using a large heterogenous sample (n = 1529) of children and adolescents 7 to 18 years of age with neurodevelopmental disorders. Measures of short-term memory, verbal ability, and reasoning were administered to participants with attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), comorbid ADHD/ASD, and participants without neurodevelopmental disorders (non-NDD) using a 12-task, web-based neurocognitive testing battery. Unsupervised machine learning techniques were used to create a self-organizing map, an artificial neural network, in conjunction with k-means clustering to identify data-driven subgroups. The study aims were to: 1) identify cognitive profiles in the sample using a data-driven approach, and 2) determine their correspondence with traditional diagnostic statuses. Six clusters representing different cognitive profiles were identified, including participants with varying forms of cognitive impairment. Diagnostic status did not correspond with cluster-membership, providing evidence for the application of transdiagnostic approaches to understanding cognitive heterogeneity in children and adolescents with neurodevelopmental disorders. Additionally, the findings suggest that many typically developing participants may have undiagnosed learning difficulties, emphasizing the need for accessible cognitive assessment tools in school-based settings.

The Pediatric Quality of Life Inventory-Cognitive Functioning Scale (PedsQL^TM-CFS) was developed as a brief, general, symptom-specific tool to measure cognitive function. The 6-item PedsQL™ Cognitive Functioning Scale and PedsQL 3.0 Cancer Module answered 369 parents and 330 children with 5-18 years. Parents also completed Behavior Rating Inventory of Executive Function (BRIEF). The PedsQL™ Cognitive Functioning Scale evidenced excellent reliability (parent proxy-report α = 0.980/Fleiss Kappa: 0.794; children self-report α = 0.963/Fleiss Kappa: 0.790). Both child self-report and parent proxy-report PedsQL™ Cognitive Functioning Scale scores exhibited significant correlations with all parent-report BRIEF summary and subscale scores (p < .05). Both child self-report and parent proxy-report PedsQL™ Cognitive Functioning Scale scores exhibited significant correlations with PedsQL 3.0 Cancer Module total score and subscale scores (p < .05). The PedsQL^TM-CFS can be used in high-risk populations with substantial to perfect reliability, both in regards to total/subcategory scores as well as in children with cancer.

The Tower of London, Drexel Version, Second Edition (TOL-DX) is purported to measure multiple aspects of executive functions, although it also possesses inherent non-executive demands. Such complexity makes it useful in detecting impairment but difficult in interpreting the neurocognitive cause of impairment, particularly in children. This study investigated the developmental, neurocognitive, and symptom correlates of the TOL-DX in children and adolescents with neuropsychiatric disorders. Two-hundred and thirty-three children and adolescents (7-21 years old) completed the TOL-DX during a neuropsychological evaluation as part of clinical care within a children's psychiatric hospital. Pearson correlation, regression models, and receiver operating characteristic curve (ROC) analyses examined the association among variables. Visuospatial and executive functions (EF) were most consistently related to total moves, execution time, and violations. TOL-DX variables were associated with attention in younger participants and EF in older participants. No TOL-DX scores were related to parent-reported symptoms. The TOL-DX possesses inherent visuospatial and attention/executive demands in children and adolescents which are difficult to differentiate, differ by age group, and not associated to clinical symptoms. Taken together, the TOL-DX is complex to interpret, but psychometrically sound and sensitive to neurocognitive impairment in children and adolescents with transdiagnostic neuropsychiatric disorders.

This study aimed to determine some of the factors that influence performance on a comprehensive test of verbal and visual memory in children, the Child and Adolescent Memory Profile (ChAMP) in a mixed clinical sample (n = 178; 56% male, 67% White, median age 12 years). We used hierarchical linear regression analyses with ChAMP standard scores as the dependent variable, and parental education as well as Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) factor index scores as the independent variables. WISC-V Processing Speed and (to a lesser extent) Working Memory were statistically significant predictors of most ChAMP Index scores. In addition, WISC-V Verbal Comprehension contributed to the model for ChAMP Verbal Memory, and WISC-V Visual Spatial to the model for ChAMP Visual Memory. In each case better performance on the WISC-V was predictive of higher scores on the ChAMP, with large effect sizes. WISC-V variables also mediated the positive effect of parental education on ChAMP scores. We conclude that clinicians should consider performance on measures of speed of processing, working memory, language and visual-spatial skills as potential influences on ChAMP results that may suggest a specific memory deficit.

Electroencephalogram (EEG) abnormalities could be seen in up to 60% of non-epileptic children with autism spectrum disorder (ASD). They have been used as biomarkers of ASD severity. The objective of our study is to identify EEG abnormalities in children with different degrees of ASD severity based on the Autism Treatment Evaluation Checklist (ATEC). We also want to assess the quality of life for children with ASD. All of the children underwent at least one hour of sleep-deprived EEG. Forty-five children were enrolled, of whom 42 were male. EEG abnormalities were found in 10 (22.2%) children, predominantly in the bilateral frontal areas. There were no differences in EEG findings among the mild, moderate, and severe ASD groups. The severity of ASD was associated with female sex (p-value = 0.013), ASD with attention deficit hyperactivity disorder (ADHD) (p-value = 0.032), ASD children taking medications (p-value = 0.048), and a lower Pediatric Quality of Life Inventory (PedsQL) (p-value <0.001). Social and emotional domains were the most problematic for health-related quality of life in ASD children, according to parent reports of PedsQL. Further studies with a larger sample size will help to clarify the potential associations between EEG abnormalities and the severity of ASD, as well as the impact on quality of life.

This study uses fNIRS to determine whether there is a difference in the relationship between intra-individual variability and frontal lobe activity between ADHD patients and typically developing children. A total of 28 subjects (14 in ADHD patient group and 14 in control group) participated in this study. The subjects were tested for K-SADS and intelligence, and then the frontal lobe activity of the subjects was measured by continuous performance test, using functional near-infrared spectroscopy (NIRSIT). Processing speed index was significantly lower in the ADHD patient group than in the control group (p = .04). The CPT test results showed a positive correlation in the activity of the right dorsolateral prefrontal region in the patient group, but not at a statistically significant level. In the control group, activity showed a significant level of negative correlation with commission and hit reaction time standard deviation (p = .023; p = .063 respectively). In contrary to ADHD patient group, activation of the right dorsolateral prefrontal area was significantly correlated with reduction of intra-individual variability. This result showing that the relationship between activation of the right dorsolateral prefrontal area of the ADHD patient group and intra-individual variability shows a different pattern from typically developing children.

Short duration of sleep and poor sleep quality have been linked to poor attention and impulse control in children. We aimed to determine the longitudinal predictive value of sleep quantity and quality during early childhood on objective and caregiver-report measures of attention, impulse control, and executive function in children at age 8 years. We used data from the Health Outcomes and Measures of the Environment (HOME) Study, a pregnancy and birth cohort. Caregivers reported on their child's sleep at ages 2, 2.5, 3, 4, and 5 years. Analysis included 410 participants. We used longitudinal growth curve models of early childhood sleep patterns to predict neurobehavioral functioning at age 8 years. Sleep problems did not predict any of our outcome measures at age 8 years. Sleep duration trended shorter as children matured, so predictive models examined both intercept and slope. Children with the least decline in sleep duration across early childhood had fewer impulsive errors at age 8 years on a continuous performance test (unadjusted p = .013; adjusted p = .013). Children with shorter duration of sleep across early childhood had worse caregiver-reported behavioral regulation at age 8 years (unadjusted p = .002; adjusted p = .043). Neither sleep duration slope nor intercept predicted inattention or metacognitive skills at age 8 years (p > .05). Total sleep time across early childhood predicts behavior regulation difficulties in school-aged children. Inadequate sleep during early childhood may be a marker for, or contribute to, poor development of a child's self-regulatory skills.

Semantic Fluency (SF) increases with age, along with the lexicon and the strategies to access it. Among the cognitive processes involved in controlling lexical access, Executive Functions (EF) play an essential role. Nevertheless, which EF, namely inhibition, working memory, and cognitive flexibility, are specifically tapped by SF during preschool years, when these basic EF components are developing and differentiating, is still unknown. The study had a two-fold aim: 1. to analyze in preschoolers the role of EF basic components on SF; 2. to investigate if EF mediated the effect of age on SF. A total of 296 typically developing preschoolers (M age = 57.86; SD = 9.91; month range = 33-74) were assessed with an SF task and EF tasks measuring the main EF basic components. Results showed that during preschool, response inhibition, working memory, and cognitive flexibility were significant predictors of SF, explaining 27% of its variance. Moreover, the effect of age on the SF task performance correlated with the improvement of these EF components. This study supports the importance of considering cognitive control processes in 3-6 year-old preschoolers as they underline important competencies for the child's development, such as the ability to quickly access vocabulary.

Executive functioning (EF) abilities develop through childhood, but this development can be impacted by various psychosocial environmental influences. Using longitudinal data from the Health Outcome and Measures of the Environment (HOME) Study, a prospective pregnancy and birth cohort study, we examined if psychosocial environmental factors were significant predictors of EF development. Study participants comprised 271 children and their primary caregivers (98.5% mothers) followed from birth to age 12. We identified four distinct EF developmental trajectory groups comprising a consistently impaired group (13.3%), a descending impairment group (27.7%), an ascending impairment group (9.95%), and a consistently not impaired group (49.1%). Higher levels of maternal ADHD and relational frustration appear to be risk factors for increased EF difficulty over time, while higher family income may serve as a protective factor delaying predisposed EF impairment. Important intervention targets might include teaching positive and effective parenting strategies to mothers whose children are at risk for EF dysfunction.

Patients with pediatric brain tumor (PBT) can have memory deficits due to tumor location, medical complications, and treatment. The main objective of this study was to investigate whether the California Verbal Learning Test-Children's Version (CVLT-C; 1994) and briefer Child and Adolescent Memory Profile (ChAMP; 2015) similarly identify such deficits. Seventy-five patients with PBT ages 8-16 ($\bar{x}$ = 13.1 years, SD = 2.1) were administered the ChAMP or CVLT-C. Rote verbal learning, long-term retrieval, and recognition were analyzed using standardized z-scores. Analyses of differences between measures did not reach statistical significance. Both measures indicated significant downward shifts across free retrieval trials from normative means, with scores approximately 1/3 (ChAMP) to 1/2 (CVLT-C) SD below means across learning and long-term retrieval trials. Scores on recognition trials did not differ significantly from the normative mean. Post-hoc analyses using a subset of the sample who received cranial irradiation (n = 45) similarly found no significant differences between memory measures. Additional post-hoc examination of proportion of participants falling within or below the "below average" range (≤8th percentile) revealed comparable performance between the two measures, whereas the proportion of participants falling at or below 1.5 SDs below the mean on retrieval trials was lower using ChAMP Lists as compared to the CVLT-C. Given the ChAMP is less demanding in terms of time and effort and utilizes more updated and representative normative data, this study supports the ChAMP as a useful tool to evaluate learning and memory within this population.