The boundaries between neurodevelopmental disorders are often indistinct, even among specialists. But do these boundaries exist, or do experts struggle to distinguish and categorize symptoms in order to arrive at a dominant diagnosis while comorbidity continually leaves questions about where each disorder ends and begins? What should be reconsidered? The introduction of the term ‘spectrum of neurodevelopmental disorders’ could pave the way for a re-appraisal of the clinical continuum of neurodevelopmental disorders. This study aims to highlight the problems that emerge in the field of the differential diagnosis of neurodevelopmental disorders and propose a renegotiation of the distinctiveness criteria.

Background: Increased parental stress is strongly related to the severity of autism spectrum disorder (ASD) symptomatology. Parents’ coping strategies and social support issues add to the complexity of this relationship. Aim: The present study investigated the relationship between self-regulation skills and parenting stress in parents of nonverbal children with ASD. Methods and procedure: The Parenting Stress Index–Short Form (PSI-SF) was administered to 75 families, and self-regulation scores on a Motor Behavior Checklist for children (MBC) were recorded by students’ class teachers (level of functioning-behavioral problems). In addition, interviews were conducted with a focus group of six parents (four mothers and two fathers) to explore the underline factors of parental stressin-depth. Results: Correlation analyses revealed that parenting stress was positively correlated with elevated scores on MBC children’s self-regulation subscale. On the other hand, parenting stress was negatively correlated with the level of social functional support reported. Qualitative data were analyzed using transcripts, revealing additional stressors for families and parents, and resulting in recommendations to overcome these factors. Conclusions and implications: Aiming at developing strategies to improve self-regulation skills in nonverbal children with ASD may be particularly important in reducing parental stress for families having nonverbal children with autism and other developmental disabilities. Parents’ stressors and suggestions during interviews are also discussed.

The purpose of this literature review was to detect and study the effectiveness of therapeutic intervention programs, such as physical activities and sports, on children and adolescents with Developmental Motor Coordination Disorder (DCD) to improve their motor skills. The sample for this study consisted of 48 (100%) papers, specifically, 40 (83.5%) articles, 3 (6.2%) doctoral theses, 2 (4.1%) master’s theses and 3 (6.2%) papers from conference proceedings from the year 2014 to 2022. To search the sample, the following terms were used: DCD or dyspraxia, physical activity programs, intervention, physical intervention, physical education, etc. The results for the existence of statistically significant results and internal validity of intervention programs using physical activities and sports in children and adolescents with DCD showed that a large number of intervention programs improved the children’s motor skills as well as their daily functionality. In contrast, other interventions failed to improve dynamic and static balance. The negative result could be due either to the short duration of the interventions or to the improper suboptimal design—organization of the methodology of these programs—such as the heterogeneous intervention samples and the use of inappropriate and reliable assessment tools.

Episodic memory is the type of memory that allows the recollection of personal experiences containing information on what has happened and, also, where and when it happened. Because of its sensitivity to neurodegenerative diseases and the aging of the brain, it is considered a hallmark of Alzheimer’s disease dementia (ADD). The objective of the present study was to examine episodic memory in amnestic mild cognitive impairment (aMCI) and ADD. Patients with the diagnosis of early aMCI, late aMCI, and mild ADD were evaluated using the Doors and People tool which consists of four subtests examining different aspects of episodic memory. The statistical analysis with receiver operating characteristic curves (ROC) showed the discriminant potential and the cutoffs of every subtest. Overall, the evaluation of episodic memory with the Doors and People tool can discriminate with great sensitivity between the different groups of people with AD and, especially, early aMCI, late aMCI, and mild ADD patients.

Attention Deficit Hyperactivity Disorder (ADHD) significantly influences children’s language acquisition and usage. This theoretical study explores the multifaceted impact of ADHD on language development, specifically focusing on reading and writing challenges. Existing research reveals that approximately 30% of children with ADHD show significant delays in reading proficiency. Additionally, about 40% of these children struggle with phonological processing, which directly impacts their reading and writing skills. Interventions targeting executive function training combined with phonics-based instruction have been shown to significantly improve language outcomes. This study introduces a comprehensive framework connecting these challenges to specific interventions and collaborative strategies, emphasizing the importance of a multi-disciplinary approach. This work provides perspectives on the specific connections between ADHD symptoms and language difficulties, offering detailed potential solutions based on empirical data. Moreover, it features the necessity of adopting integrated intervention strategies to advance academic outcomes and communicative competencies for children with ADHD, providing new understandings into effective educational practices.

The study explores the application of artificial intelligence (AI) in addressing grammar challenges among children with learning disabilities, aiming to assess the efficacy of an AI-driven tool for personalized interventions. A sample of 100 children aged 8–12, diagnosed with learning disabilities, was recruited from special education programs. Participants were divided into an experimental group (n = 50), which used an AI-based grammar assessment tool with personalized feedback, and a control group (n = 50), which completed conventional paper-based grammar tests without feedback. The AI tool administered adaptive grammar tasks, including sentence correction and verb conjugation, and performance was evaluated over four weeks using pre-test and post-test measures. A quasi-experimental design and statistical analyses, including t-tests and repeated-measures ANOVA, revealed a significant improvement in grammar performance for the experimental group (M = 78.5, SD = 5.6) compared to the control group (M = 70.2, SD = 6.1; p < 0.001), with a large effect size (Cohen’s d = 0.84). Participants and educators reported high engagement and usability of the tool. The findings underscore AI’s potential to provide tailored learning experiences, addressing individual needs more effectively than conventional strategies. Further research should examine long-term outcomes and broader educational applications to maximize its impact.