International Journal of Developmental Neuroscience最新文献

{"title":"Autistic Symptoms and Empathy in Adolescents With Disruptive Mood Dysregulation and Those With Bipolar Disorders","authors":"Gonca Özyurt,&nbsp;Burak Baykara,&nbsp;Ali Evren Tufan,&nbsp;Yusuf Öztürk,&nbsp;İmge Mercanoğlu,&nbsp;Ezgi Karagöz Tanıgör,&nbsp;Sevay Alşen Güney,&nbsp;Aynur Akay,&nbsp;Neslihan İnal,&nbsp;Rasim Somer Diler","doi":"10.1002/jdn.70159","DOIUrl":"10.1002/jdn.70159","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>The aim of the present study is to compare autistic symptoms and empathy of adolescents aged 12–18 years with bipolar disorder (BPSD) and disruptive mood dysregulation disorder (DMDD) to healthy adolescents.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In this study, 21 adolescents diagnosed with BPSD, 21 adolescents diagnosed with DMDD and 21 healthy adolescents similar in age and gender were included. Autistic symptoms were evaluated using the Autism Diagnostic Interview-Revised (ADI-R) and Social Communication Questionnaire (SCQ), and empathy was evaluated with the KA-SI Empathic Tendency Scale for Children and Adolescents (KA-SI ETS).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Significant differences were detected among the groups in ADI-R and SCQ, and healthy adolescents received statistically significantly lower scores. Empathy skills of healthy adolescents were evaluated as better than those in the BPSD and DMDD groups.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>In our study, it was shown that young people with a diagnosis of DMDD had more difficulties in empathy skills, and they had more autistic symptoms than young people with BPSD and healthy adolescents. Providing support in terms of these empathy skills and evaluation of autistic symptoms in the treatment of young people diagnosed with BPSD and DMDD may affect both the psychosocial functionality of the cases and the course of the disease.</p>\u0000 </section>\u0000 </div>","PeriodicalId":13914,"journal":{"name":"International Journal of Developmental Neuroscience","volume":"86 5","pages":""},"PeriodicalIF":1.4,"publicationDate":"2026-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148420975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Is It Cognitive Disengagement Syndrome Symptoms or Family Context? The Relationship Between Cognitive Disengagement Syndrome Symptoms in Children and Maternal Social Avoidance","authors":"Mutlu Muhammed Özbek,&nbsp;Remzi Ogulcan Çıray,&nbsp;Ekin Atay,&nbsp;Doğa Sevinçok,&nbsp;Hasan Can Özbay,&nbsp;Mehmet Akif Cansız","doi":"10.1002/jdn.70160","DOIUrl":"10.1002/jdn.70160","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Background/Objective&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Cognitive disengagement syndrome (CDS), formerly known as sluggish cognitive tempo, is characterized by excessive daydreaming, mental fogginess, slowed behaviour and low initiative. In addition to attentional difficulties, CDS has been linked to social withdrawal and internalizing symptoms. This study examined the association between maternal social anxiety symptoms and CDS severity in children and adolescents with attention deficit hyperactivity disorder (ADHD), while also considering maternal depressive symptoms and child ADHD symptom dimensions.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Methods&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;This cross-sectional study included 116 children and adolescents aged 6–18 years diagnosed with ADHD and their mothers. ADHD was diagnosed according to the &lt;i&gt;Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition&lt;/i&gt;, and confirmed using the &lt;i&gt;Schedule for Affective Disorders and Schizophrenia for School-Age Children—Present and Lifetime Version&lt;/i&gt;. Participants with psychiatric comorbidity were excluded. CDS symptoms were assessed using the Barkley Child Attention Scale, and participants were classified into high-CDS (&lt;i&gt;n&lt;/i&gt; = 54) and low-CDS (&lt;i&gt;n&lt;/i&gt; = 62) groups based on a cut-off score of 23. Maternal depressive symptoms were measured with the Patient Health Questionnaire-9, and maternal social anxiety symptoms were assessed with the Liebowitz Social Anxiety Scale. Group comparisons, Spearman correlation analyses and multivariable linear regression analyses were conducted.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The mean age of the sample was 13.59 years, and 50.0% of participants were boys. Compared with the low-CDS group, the high-CDS group had significantly higher inattentiveness scores (13.87 vs. 11.68, &lt;i&gt;p&lt;/i&gt; &lt; 0.001) and lower hyperactivity/impulsivity scores (12.59 vs. 13.76, &lt;i&gt;p&lt;/i&gt; = 0.022). Mothers of children in the high-CDS group had significantly higher Liebowitz Social Anxiety Scale avoidance scores (40.76 vs. 35.21) and total scores (79.61 vs. 70.59). In the high-CDS group, CDS scores were positively correlated with inattentiveness (&lt;i&gt;rho&lt;/i&gt; = 0.39, &lt;i&gt;p&lt;/i&gt; &lt; 0.01), maternal social anxiety total score (&lt;i&gt;rho&lt;/i&gt; = 0.45, &lt;i&gt;p&lt;/i&gt; &lt; 0.01) and maternal depressive symptoms (&lt;i&gt;rho&lt;/i&gt; = 0.40, &lt;i&gt;p&lt;/i&gt; &lt; 0.01). In multivariable linear regression, inattentiveness (&lt;i&gt;B&lt;/i&gt; = 0.823, &lt;i&gt;p&lt;/i&gt; = 0.002) and maternal social anxiety total score (&lt;i&gt;B&lt;/i&gt; = 0.095, &lt;i&gt;p&lt;/i&gt; = 0.002) independently predicted CDS severity (&lt;i&gt;F&lt;/i&gt;[4,49] = 9.111, &lt;i&gt;p&lt;/i&gt; &lt; 0.001, &lt;i&gt;R&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.427).&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Conclusion&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;","PeriodicalId":13914,"journal":{"name":"International Journal of Developmental Neuroscience","volume":"86 5","pages":""},"PeriodicalIF":1.4,"publicationDate":"2026-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148420986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early Autism Spectrum Disorder Detection Using Adaptive Fused Spatial–Temporal Graph Convolutional Network Optimized With Artificial Lemming Algorithm","authors":"Alphonsa Mandla,&nbsp;Chilukala Mahender Reddy,&nbsp;Goli Himabindu,&nbsp;Deepthi Reddy Dasari,&nbsp;Mungara Kiran Kumar","doi":"10.1002/jdn.70146","DOIUrl":"10.1002/jdn.70146","url":null,"abstract":"<div>\u0000 \u0000 <p>Autism spectrum disorder (ASD) is characterized by diversity of behavioural abnormalities, and successful intervention depends on an early diagnosis. Conventional diagnostic techniques depend on interviews and observational evaluations, which can occasionally result in errors. In order to enhance the accuracy of ASD recognition, we propose an early ASD detection using Adaptive Fused Spatial–Temporal Graph Convolutional Network Optimized with Artificial Lemming Algorithm (AFSTGCN-ALA). Initially, ASD-related data are collected from ASD Dataset and Adaptive Fast Desensitized Kalman Filter (AFDKF) preprocessing; it effectively eliminates impulsive noise to enhance the accuracy of the data. The Multi-Synchro Squeezing Transform (MSST) is then used to extract features from the preprocessed data, such as connections and frequency band coherence. To differentiate between instances with and without ASD, these extracted traits are then categorized using the AFSTGCN. However, adaptive optimization for parameter tweaking is absent from traditional AFSTGCN, which might affect the accuracy of detection. In order to solve this, the ALA was introduced, which optimizes the weight parameters of AFSTGCN to guarantee correct ASD categorization. The proposed AFSTGCN-ALA model is evaluated using performance criteria such as compute time, F1-score, accuracy and precision. According to experimental data, the suggested technique outperforms current approaches in terms of accuracy by 18.97%, 24.57% and 32.68% while cutting down on computing time by 19.84%, 24.93% and 31.62%. These results open the door to more accurate diagnosis and prompt therapies by demonstrating the effectiveness and dependability of AFSTGCN-ALA for early ASD identification.</p>\u0000 </div>","PeriodicalId":13914,"journal":{"name":"International Journal of Developmental Neuroscience","volume":"86 5","pages":""},"PeriodicalIF":1.4,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148411649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transcriptomic Convergence in Autism Spectrum Disorder: Synaptic, Immune-Glial and RNA-Regulatory Axes in the Human Cerebral Cortex","authors":"Ruslan Kurmashev","doi":"10.1002/jdn.70157","DOIUrl":"10.1002/jdn.70157","url":null,"abstract":"<p>Autism spectrum disorder (ASD) arises from highly heterogeneous genetic and developmental liabilities, raising the question of whether this heterogeneity converges on shared molecular programmes in the human cerebral cortex. This structured review, based on systematic database searching and narrative synthesis, examined that question specifically in human post-mortem cortical transcriptomic studies. PubMed, Scopus and Europe PMC were searched from 1 January 2009 to 6 May 2026, and 43 studies met the final eligibility criteria. Across the available literature, the evidence does not support a single invariant cortical transcriptomic signature in ASD. Rather, the most consistent signal indicates non-uniform convergence on reduced neuronal and synaptic expression together with increased immune-glial programmes. A substantial additional body of evidence implicates dysregulation of transcript-regulatory processes, particularly in studies interrogating alternative splicing and related RNA-processing mechanisms. Cell-resolved datasets further suggest that these abnormalities are concentrated within defined neuronal and glial populations rather than being distributed uniformly across the cortex. By contrast, mitochondrial and broader metabolic alterations are supported less consistently and are better interpreted as conditional or secondary features of cortical pathology than as equally well-established core axes. Interpretation of these findings is constrained by the structure of the evidence base itself. Only 9 of the 43 included studies were judged to provide direct support for the central convergence question, and only 13 were based on primary independent cohorts; much of the literature relies on dataset reuse, regionally restricted sampling and heterogeneous analytical platforms. Collectively, human cortical transcriptomic studies in ASD support a model of partial, context-dependent convergence on a limited set of biological programmes, rather than a single stable molecular lesion.</p>","PeriodicalId":13914,"journal":{"name":"International Journal of Developmental Neuroscience","volume":"86 5","pages":""},"PeriodicalIF":1.4,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jdn.70157","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148411728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Abscisic Acid Enhances Hippocampal Neuroplasticity and Rescues Learning and Memory Deficits in a Valproate-Induced Rat Model of Autism","authors":"Nikta Doustdar_Sanaye,&nbsp;Mehdi Abbasnejad,&nbsp;Razieh Kooshki,&nbsp;Saeed Esmaeili_Mahani,&nbsp;Ali Mohammad Pourrahimi","doi":"10.1002/jdn.70156","DOIUrl":"10.1002/jdn.70156","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This study investigated the possible protective effects of abscisic acid (ABA), a naturally occurring phytohormone with incipient neuromodulatory properties, to alleviate cognitive and neurological alterations in a valproate (VPA)-induced rat model of autism.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>ABA was injected intra-CA1 hippocampal (0.5, 1, 1.5 μg/rat) in both VPA-exposed and control rats. Spatial learning and memory retention was validated by Morris water maze (MWM). Additionally, hippocampal levels of oxidative stress biomarkers—hydrogen peroxide (H₂O₂) and malondialdehyde (MDA)—were quantified. The expression of key neuroplasticity-related genes (BDNF, TrkB, PI3K and AKT) was also evaluated via real-time PCR.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>VPA-exposed rats exhibited significant deficits in learning and memory, alongside elevated hippocampal oxidative stress and downregulation of BDNF/TrkB and PI3K/AKT signalling. ABA treatment dose-dependently reversed learning and memory impairments. Moreover, ABA (1.5 μg/rat) significantly reduced H₂O₂ and MDA levels and restored the gene expression of BDNF, TrkB, PI3K and AKT in the hippocampus, indicating coordinated enhancement of antioxidant defences and neurotrophic transcriptional activity. However, ABA's efficiency in improving these responses was completely blocked by nifedipine, a calcium channel blocker, and chelerythrine, a PKC inhibitor.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discussion</h3>\u0000 \u0000 <p>Overall, our results highlight the promising potential of ABA as a treatment for ASD while emphasising the necessity for more research to entirely elucidate its underlying mechanisms.</p>\u0000 </section>\u0000 </div>","PeriodicalId":13914,"journal":{"name":"International Journal of Developmental Neuroscience","volume":"86 5","pages":""},"PeriodicalIF":1.4,"publicationDate":"2026-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148404620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Verbal IQ Range as a Potential Cognitive Marker of Broad Autism Phenotype Traits in Parents of Children With Autism Spectrum Disorder","authors":"Hasan Ali Güler,&nbsp;Fatih Ekici,&nbsp;Özge Tan Çamok,&nbsp;Mehmed Ediz Çelik,&nbsp;Ali Kandeğer","doi":"10.1002/jdn.70155","DOIUrl":"10.1002/jdn.70155","url":null,"abstract":"<div>\u0000 \u0000 <p>Parents of children with Autism Spectrum Disorder (ASD) are more likely to exhibit subclinical autistic characteristics, commonly described as the Broad Autism Phenotype (BAP). This study examines whether the WAIS-R verbal-performance discrepancy and total range scores are associated with social skill deficits in parents of children with ASD, considering sex differences. This case–control study included 24 parents of children with ASD without psychopathology and 28 healthy controls. Participants underwent a structured diagnostic interview (SCID-5-CV) and completed the Autism Spectrum Quotient (AQ). Verbal, performance and total range scores were calculated based on the difference between the highest and lowest subtest scores. Parents of children with ASD exhibited significantly higher AQ social skills subscale and total scores than controls. Fathers had significantly higher verbal range scores than controls, whereas no significant differences were found in mothers. Logistic regression revealed that each 1-point increase in verbal range was associated with a 55.7% higher likelihood (<i>p</i> = 0.032) of belonging to the ASD-parent group among fathers. An optimal cut-off score of 7.5 was identified, with 58.3% sensitivity and 71.4% specificity for distinguishing fathers in the ASD-parent group from controls. Verbal IQ range may represent a potential cognitive marker associated with BAP traits, particularly social skill difficulties, in fathers of children with ASD. However, larger studies are needed to further clarify its clinical significance.</p>\u0000 </div>","PeriodicalId":13914,"journal":{"name":"International Journal of Developmental Neuroscience","volume":"86 5","pages":""},"PeriodicalIF":1.4,"publicationDate":"2026-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148396685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Scaphocephaly as a Novel Phenotypic Feature of WDR83OS-Related Neurodevelopmental Disorder: A Case Report With a Novel Variant and Literature Review","authors":"Merve Soğukpınar,&nbsp;Şeyma Kılınç,&nbsp;Başak Uzunyayla Sayıcı","doi":"10.1002/jdn.70153","DOIUrl":"10.1002/jdn.70153","url":null,"abstract":"<div>\u0000 \u0000 <p><i>WDR83OS</i>-related neurodevelopmental disorder is a rare autosomal recessive condition characterized by developmental delay, dysmorphic features and variable hepatic involvement, particularly hypercholanaemia. Here, we report a female patient presenting with global developmental delay, syndromic facial features and scaphocephaly due to sagittal craniosynostosis, representing a previously unreported phenotypic feature. The patient was born to consanguineous parents and exhibited delayed motor and language milestones. Physical examination revealed characteristic dysmorphic features, whereas routine laboratory findings, including liver function tests, were within normal limits. Serum bile acid levels were not assessed. Cranial imaging confirmed sagittal craniosynostosis. Whole exome sequencing identified a novel homozygous nonsense variant in <i>WDR83OS</i>, classified as likely pathogenic according to ACMG criteria. No additional candidate variants, including those associated with craniosynostosis, were detected. This case possibly expands the phenotypic spectrum of <i>WDR83OS</i>-related disorder by identifying scaphocephaly as a novel feature. Our findings highlight the importance of comprehensive genomic evaluation in syndromic neurodevelopmental disorders and suggest that <i>WDR83OS</i> should be considered in the differential diagnosis of patients with craniosynostosis and developmental delay, even in the absence of overt hepatic involvement.</p>\u0000 </div>","PeriodicalId":13914,"journal":{"name":"International Journal of Developmental Neuroscience","volume":"86 5","pages":""},"PeriodicalIF":1.4,"publicationDate":"2026-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148375767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sales-Training-Inspired Optimization for Deep High-Order Principal Network in Autism Spectrum Disorder Classification","authors":"T. Venkatakrishnamoorthy,&nbsp;Anuradha Chinta,&nbsp;P. Sujatha,&nbsp;Anupama Angadi","doi":"10.1002/jdn.70145","DOIUrl":"10.1002/jdn.70145","url":null,"abstract":"<div>\u0000 \u0000 <p>Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by social communication deficits and repetitive behaviours. Diagnosing ASD early is difficult for healthcare professionals due to its diverse and intricate presentation. However, early detection is vital for enhancing outcomes and enabling the children to access targeted therapies that support the development of social and communication skills. Moreover, Classical models were time-consuming and resource-intensive, and they required lengthy assessments and specialized training. To bridge these complications, this research proposes a Sales Training-Based Optimization enabled Deep High-Order Principal Component Network (STBO_DHPCNet) for ASD classification using resting-state fMRI (rs-fMRI) brain images from 1114 subjects in the ABIDE dataset. First, gamma correction is applied to enhance the quality of the autism brain image. Next, the Region of Interest (ROI) extraction is performed. Afterwards, the nub region extraction is performed based on Sales Training Based Optimization (STBO). On the other hand, feature extraction is done based on an enhanced brain image. Finally, the classification of ASD is done by using DHPCNet, and it is trained using STBO. Here, DHPCNet is developed by incorporating the Deep High-Order Attention Neural Network (DHA-Net) and Principal Component Analysis Network (PCA-Net). Moreover, the evaluation results show that the DHPCNet gained an increased range of accuracy, sensitivity and specificity as 95.62%, 94.79%, and 95.86%.</p>\u0000 </div>","PeriodicalId":13914,"journal":{"name":"International Journal of Developmental Neuroscience","volume":"86 5","pages":""},"PeriodicalIF":1.4,"publicationDate":"2026-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148345276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Turkish Validity and Reliability Study of the Executive Functioning Scale and the Daily Living Skills Scale in Children and Adolescents","authors":"Burçin Şeyda Karaca,&nbsp;Şermin Yalın Sapmaz,&nbsp;Gonca Özyurt,&nbsp;Nagihan Cevher Binici,&nbsp;Zeynep Ayaslan,&nbsp;Ömer Aydemir","doi":"10.1002/jdn.70152","DOIUrl":"https://doi.org/10.1002/jdn.70152","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This study examined the psychometric properties of the Turkish versions of the Executive Functioning Scale (EFS) and the Daily Living Skills Scale (DLSS) in children and adolescents.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The sample included 197 participants (11–18 years), comprising 107 with neurodevelopmental disorders and 90 healthy controls. Internal consistency was assessed using Cronbach's alpha, and test–retest reliability was evaluated over 2 weeks in a subsample of 37 parents. Construct validity was examined with confirmatory factor analysis. Convergent validity of the EFS was assessed using correlations with the Teenage Executive Functioning Inventory (TEXI) and Trail Making Test (TMT); DLSS convergent validity was examined via correlations with the TEXI and EFS. Discriminant validity was determined by comparing clinical and control groups.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The EFS showed high internal consistency (<i>α</i> = 0.969; subscales: 0.704–0.922) and strong test–retest reliability (<i>r</i> = 0.869). EFS total scores correlated strongly and negatively with TEXI (<i>r</i> = −0.78, <i>p</i> &lt; 0.001), and TMT-B scores were significantly related to several EFS subscales. The DLSS had high internal consistency (<i>α</i> = 0.959) and good test–retest reliability (<i>r</i> = 0.823). DLSS total scores correlated negatively with TEXI (<i>r</i> = −0.495) and positively with EFS (<i>r</i> = 0.572). Both scales distinguished between clinical and control groups (<i>p</i> &lt; 0.001). However, CFA findings indicated inadequate model fit for both scales (EFS: CFI = 0.636, RMSEA = 0.117; DLSS: CFI = 0.411, RMSEA = 0.191), suggesting that the original factor structures were not adequately replicated in the current sample.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The Turkish versions of the EFS and DLSS demonstrated strong internal consistency, acceptable test–retest reliability and supportive evidence of convergent and known-groups validity. However, confirmatory factor analyses did not adequately support the original factor structures of either scale. Therefore, further studies are needed to clarify the structural validity and latent dimensional structure of these instruments in Turkish populations.</p>\u0000 </section>\u0000 </div>","PeriodicalId":13914,"journal":{"name":"International Journal of Developmental Neuroscience","volume":"86 5","pages":""},"PeriodicalIF":1.4,"publicationDate":"2026-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148324732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Bright Side of the Spectrum: Self-Limited Infantile Epilepsy-Related SCN8A Gof Variant","authors":"Fadime Keskin,&nbsp;Çağatay Günay,&nbsp;Gizem Doğan,&nbsp;Figen Baydan,&nbsp;Gamze Sarıkaya Uzan","doi":"10.1002/jdn.70154","DOIUrl":"https://doi.org/10.1002/jdn.70154","url":null,"abstract":"<div>\u0000 \u0000 <p>Sodium channelopathies represent a leading monogenic cause of epilepsy, epileptic encephalopathy and autism spectrum disorder. Pathogenic variants in voltage-gated sodium channels can lead to either gain-of-function or loss-of-function, resulting in highly diverse clinical phenotypes associated with the same gene. In this case report, we aimed to discuss a patient who presented with afebrile seizures at 6 months of age and was diagnosed with ‘self-limited infantile epilepsy (SeLIE)’ following the identification of a gain-of-function pathogenic variant in the <i>SCN8A</i> gene, in light of current guidelines and consensus recommendations. Furthermore, considering recent advancements, we aimed to emphasize that bioinformatic software tools for assessing the functional impact of pathogenic variants in ion channels can serve as a crucial guide for clinicians in treatment selection.</p>\u0000 </div>","PeriodicalId":13914,"journal":{"name":"International Journal of Developmental Neuroscience","volume":"86 5","pages":""},"PeriodicalIF":1.4,"publicationDate":"2026-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148324374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}