The Clinical neuropsychologist最新文献

Objective: The aim of this study was to conduct item reduction of the Memory Assessment Clinics Self-Rating Scale (MAC-S) to create a briefer measure that can be used to quickly evaluate subjective memory complaints in patients with epilepsy. Method: A total of 1333 adults with focal epilepsy completed the original 49-item MAC-S. The sample was randomly split into three subsamples, and a series of analyses (i.e. exploratory factor analysis, confirmatory factor analysis, and item response theory analyses) was conducted to identify an alternative factor structure, with a reduced number of items. A panel of 5 neuropsychologists independently reviewed the final model to assess appropriateness of each individual item as well as the factor loadings and overall factor structure. Final factor titles were subsequently decided as a group. Results: Five factors were identified: Attention, Working Memory, Retrieval, Semantic Memory, and Episodic Memory. The length of the MAC-S was reduced from 49 to 30 items, with items being removed because they failed to load onto any of the factors substantially, or because of poor item discrimination or threshold levels. Conclusions: The Memory Assessment Clinics Scale for Epilepsy (MAC-E), is an updated, brief measure of subjective memory functioning that can be used to efficiently assess relevant, every-day memory abilities in patients with epilepsy within both clinical and research settings.

Objective: This study examined factor models for the Post-Concussion Symptom Scale (PCSS) at baseline and after suspected sport-related concussion, and measurement invariance from pre-injury to post-injury assessments and across age, gender, and health history groups (e.g., attention-deficit/hyperactivity disorder, psychiatric history). Methods: Adolescent student athletes (ages 13-18) completed a baseline PCSS (n = 39,015; 54.3% boys) and a subsample within 21 days of a suspected concussion (n = 1,554; 56.7% boys) completed a post-injury PCSS. Five models were evaluated for fit and invariance. Results: Confirmatory factor analyses showed good baseline and post-injury model fit for a previously supported four-factor model (i.e., cognitive-sensory, sleep-arousal, vestibular-somatic, and affective), an alternative four-factor model (i.e., cognitive, sleep-arousal, physical, and affective), and an incomplete bifactor model with vestibular-somatic and affective specific factors, along with partial invariance from pre-injury to post-injury assessments. Partial-to-full invariance was established for each model at baseline across demographic and health history groups. Conclusions: Results showed empirical and conceptual support for both PCSS subscales (i.e., cognitive, sleep-arousal, physical, and affective) and a total score for use in pre-injury to post-injury assessments and across demographic and health history groups at baseline. Future normative data, stratified by demographics and health history, could provide more precise symptom assessments for concussion management.

Objective: The aim of this study was to establish the utility of the NIH Toolbox as a cognitive screener of executive functions in the clinical context. Additionally, we aimed to investigate whether age and time on transfusion were related to executive function performance. Method: Twenty-eight children and adolescents with sickle cell anemia (SCA) between 8 and 18 years (M = 13.28, SD = 3.05) on transfusion treatment were included. Participants completed five NIH Toolbox tasks (three executive function tasks and two non-executive function control tasks). Results: Mean scores on one of the three executive function measures (inhibitory control) fell below the average range (M = 81.36, SD = 14.01) with approximately 70% of children from both groups below the average range. Scores for processing speed (M = 86.82, SD = 22.01) and cognitive flexibility (M = 85.75, SD = 12.67) were low averages. As expected, scores on non-executive measures (language and memory) fell within the average range. No significant differences were observed between children with silent stroke and no stroke on executive function measures. Older age (p < .01) and length of time on transfusion (p < .05) predicted lower inhibitory control scores. Conclusions: Findings provide evidence for poor development of inhibitory control with age in this patient population. As the NIH Toolbox successfully highlighted expected deficits in this patient population, this study supports the use of this tool as a brief screening measure for children with SCD. The clinical and theoretical implications of the findings are discussed.

Objective: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by core deficits in social communication and restricted and repetitive behaviors and interests. Recent advances in clinical genetics have improved our understanding of genetic syndromes associated with ASD, which has helped clarify distinct etiologies of ASD and document syndrome-specific profiles of neurocognitive strengths and weaknesses. Pediatric neuropsychologists have the potential to be impactful members of the care team for children with genetic syndromes and their families.

Method: We provide a critical review of the current literature related to the neuropsychological profiles of children with four genetic syndromes associated with ASD, including Tuberous Sclerosis Complex (TSC), fragile X syndrome (FXS), 22q11.2 deletion syndrome, and Angelman syndrome. Recommendations for assessment, intervention, and future directions are provided.

Results: There is vast heterogeneity in terms of the cognitive, language, and developmental abilities of these populations. The within- and across-syndrome variability characteristic of genetic syndromes should be carefully considered during clinical evaluations, including possible measurement limitations, presence of intellectual disability, and important qualitative differences in the ASD-phenotypes across groups.

Conclusions: Individuals with genetic disorders pose challenging diagnostic and assessment questions. Pediatric neuropsychologists with expertise in neurodevelopmental processes are well suited to address these questions and identify profiles of neurocognitive strengths and weaknesses, tailor individualized recommendations, and provide diagnostic clarification.

Objective: Social cognition does not exist within a vacuum. One's culture and surrounding social environment influence 1) development of social skills and behaviors, and 2) society's expectations regarding "normal" behavior versus behaviors consistent with the diagnosis of Autism Spectrum Disorder (ASD). Use of a comprehensive cultural framework such as Fujii's ECLECTIC model undergirds valid ASD testing by enhancing clinician awareness of potential biases during clinical decision-making and by supporting culturally relevant recommendations. Method: Four diverse pediatric patients presenting for concerns of ASD are described. Neuropsychological test data and salient cultural considerations are presented within the ECLECTIC framework. Results: The cases illustrate relevant cultural factors critical to the ASD assessment for youth with wide diversity (Southeast Asian, Deaf, Black, Hispanic/Latinx, and Chinese cultures) and varied contextual factors (adoption, underlying Down syndrome). The ECLETIC model better allows integration of salient factors such as cognition, family dynamics, behaviors, educational services, and language dominance. Conclusions: Unrecognized ethnocentric biases may shadow the complexities and nuances involved in ASD assessment across cultures. Such errors are minimized using a comprehensive cultural framework to guide equitable neuropsychological services. The ECLECTIC model's emphasis on cultural and contextual factors results in more accurate findings and more individualized planning for the patient. Recommendations for clinical application are provided.

Objective: Children with perinatal stroke are at increased risk for developmental language disorders, learning difficulties, and other mental health conditions. However to date, autism (ASD) prevalence in this group has not been reported. Given that early identification of ASD is essential to promoting optimal outcomes, our goal was to establish prevalence of ASD in children with perinatal stroke.

Method: A prospectively enrolled, single-center stroke registry maintained at our institution since 2005 was queried for all potentially eligible patients with a history of perinatal stroke. Information regarding stroke features, ASD diagnosis/concern, intellectual disability/global developmental delay, cerebral palsy/hemiparesis, epilepsy, and language disorder were collected via retrospective chart review from electronic health records.

Results: 311 children were identified, of which 201 complete records were analyzed. Twenty-three cases were formally diagnosed with ASD (11.4%). First concerns were noted in toddlerhood (Mage = 2.66 years), yet the average age of diagnosis was 6.26 years. Children with ASD were more likely to have earlier diagnoses of intellectual disability/global developmental delay or a mixed receptive-expressive language disorder (ps < .001) but did not differ on CP/hemiplegia or epilepsy diagnoses. Risk for ASD increased with accumulating diagnoses.

Discussion: Children with perinatal stroke have an increased prevalence of ASD (11.4%) than in the general population. ASD concerns arise at a similar age as the general population, yet ASD is diagnosed almost two years later than the general population and 3.60 years after first concerns present. Co-occurring neurological conditions are common. Clinicians must be aware of increased prevalence and implement screening as part of routine care for all pediatric patients with perinatal stroke.

Objective: This study compared language profiles of children with autism spectrum disorder (ASD) and typically developing (TD) children at kindergarten-entry and investigated whether kindergarten-entry language scores were predictive of concurrent and future academic achievement, peer interactions, and adaptive skills in children with ASD.

Method: Participants included 97 children (62 children with ASD; 35 TD children) assessed at kindergarten-entry and -exit. Language abilities were assessed using the Children's Communication Checklist-2 (CCC-2). Children with ASD and TD children's language scores were compared at baseline, and the ASD group was followed longitudinally. Regression analyses were performed to compare language scores between ASD and TD groups and to predict concurrent and future functional skills from kindergarten-entry language scores for children with ASD.

Results: Children with ASD demonstrated significantly more impairments across all scales of the CCC-2 at kindergarten-entry compared to TD children. Within the ASD group, kindergarten-entry pragmatic language significantly predicted concurrent math and reading achievement. Both syntactic/semantic and pragmatic domains significantly predicted kindergarten-exit reading performance; pragmatics significantly predicted kindergarten-exit math performance. Pragmatics also predicted concurrent and kindergarten-exit peer play. Syntax/semantics significantly predicted concurrent adaptive communication skills, whereas pragmatics significantly predicted concurrent adaptive daily living and socialization skills, as well as kindergarten-exit socialization skills.

Conclusions: School-entry language abilities can serve as a valuable predictor of functional outcomes across the kindergarten year for cognitively-able children with ASD. Results highlight the need to target early language abilities to maximize academic, social, and adaptive skills.

Objective: This paper lends a critical eye to six common assumptions/biases about autism that may influence neuropsychologists in their clinical work. These biases are based on research as well as the historical roots of the study of autism. Our goal is to encourage curiosity and reflection on these biases in order to improve neuropsychological service delivery for people on the autism spectrum. Methods: We argue that psychologists should strive to understand the function of behaviours observed with autism in order to offer helpful supports. We explore the assertions that autism is not a dichotomous or linear construct and that the use of high and low functioning descriptors are not useful nor appreciated by the autism community. We discuss the widely held beliefs that individuals on the autism spectrum lack theory of mind, empathy and social motivation. Importantly, people on the autism spectrum are telling us that the dialogue about them around theory of mind and empathy is a human rights issue. Finally, we discuss the role of standardized testing. Conclusions: Through an exploration of research literature, the writings of scholars and advocates on the autism spectrum, and personal, clinical and research experience we encourage our profession to take a leadership role in examining biases and changing the clinical and research landscape so that it better reflects respectful discourse for individuals on the autism spectrum. This is critical to reduce the stigma that continues to be associated with autism and has a negative affect on mental health and quality of life.

Objective: Currently available screening measures for Autism Spectrum Disorder (ASD) typically do not reflect DSM-5 diagnostic criteria and generally have weak positive predictive values. These factors result in missed opportunities for early intervention, delays in diagnosis, and contribute to inefficient usage of healthcare resources by inadequately discerning those in need of comprehensive assessment. This study examined a DSM-5 ASD symptom checklist to determine whether parent-report response patterns could accurately identify which children received an ASD diagnosis. Method: Data were examined from 376 ASD evaluations in a three-year period. Latent profile analysis was used to determine if subgroups could be identified according to parent response patterns, and network analysis was implemented to examine the relationship among DSM-5 ASD criteria within each latent profile. Results: A four-profile model was best supported based on fit indices and high probability classifications. The model was largely a product of how parents responded regarding their child's sensory behavior and minimally reflected other symptomatology. Subsequent network analyses by profile indicated weak coherence among DSM-5 symptoms within all profiles. Overall, direct assessment of DSM-5 criteria based on parent report did not add diagnostic value beyond that reflected in base rates. Conclusions: Although continued refinement of ASD screening tools is needed to improve accuracy of referrals for evaluations and reduce wait time for diagnosis, this study continues to support the need for behavioral observation and formal assessment by trained clinicians. Continued development of sensitive and specific screening tools, likely with embedded behavioral and/or objective observation, is needed.