Social cognition and psychopathology in childhood and adolescence

Continuous Spike-Waves during Slow Sleep Today: An Update

In the context of childhood epilepsy, the concept of continuous spike-waves during slow sleep (CSWS) includes several childhood-onset heterogeneous conditions that share electroencephalograms (EEGs) characterized by a high frequency of paroxysmal abnormalities during sleep, which have negative effects on the cognitive development and behavior of the child. These negative effects may have the characteristics of a clear regression or of a slowdown in development. Seizures are very often present, but not constantly. The above makes it clear why CSWS have been included in epileptic encephalopathies, in which, by definition, frequent EEG paroxysmal abnormalities have an unfavorable impact on cognitive functions, including socio-communicative skills, causing autistic features, even regardless of the presence of clinically overt seizures. Although several decades have passed since the original descriptions of the electroclinical condition of CSWS, there are still many areas that are little-known and deserve to be further studied, including the EEG diagnostic criteria, the most effective electrophysiological parameter for monitoring the role of the thalamus in CSWS pathogenesis, its long-term evolution, the nosographic location of Landau-Kleffner syndrome, standardized neuropsychological and behavioral assessments, and pharmacological and non-pharmacological therapies.

E-Learning and Flipped Classroom in Inclusive Education: The Case of Students with the Psychopathology of Language and Cognition

The study analyzed modern e-learning and flipped classroom methods in inclusive education, focusing on their impact on motivation, academic performance, and the effectiveness of the educational process. The experiment involved 648 first- and second-year students from Abai Kazakh National Pedagogical University, the Elabuga Institute (Branch) of Kazan Federal University, and I.M. Sechenov First Moscow State Medical University. According to the survey conducted in the first phase, 66% of students reported using e-learning and flipped classroom methods, while 34% indicated that these methods were not employed. Furthermore, 50% of respondents rated the development of these methods in their universities as low, suggesting a lack of attention, familiarity among teachers, or reluctance to adopt them. To study the psychopathology of language and cognitive functions among children with special needs, the authors used the ASEBA questionnaire algorithm. It allowed for a survey among children from specialized classes, mixed classes (E-learning and flipped classroom), and control classes. Each group consisted of 50 people, there were three classes in each category. The ASEBA questionnaire revealed information about various aspects of the psychological functioning of children, including their behavior, emotional state, social adaptation, as well as problems with language and communication. The use of the questionnaire in different types of classes helped to compare the results between groups and identify features and differences in the psychopathology of language and cognitive functions in children with special needs. The findings can contribute to a deeper understanding of the psychopathology of language and cognitive functions in this category of children.

Computerized Cognitive Test Batteries for Children and Adolescents-A Scoping Review of Tools For Lab- and Web-Based Settings From 2000 to 2021

OBJECTIVE

Cognitive functioning is essential to well-being. Since cognitive difficulties are common in many disorders, their early identification is critical, notably during childhood and adolescence. This scoping review aims to provide a comprehensive literature overview of computerized cognitive test batteries (CCTB) that have been developed and used in children and adolescents over the past 22 years and to evaluate their psychometric properties.

METHOD

Among 3192 records identified from three databases (PubMed, PsycNET, and Web of Science) between 2000 and 2021, 564 peer-reviewed articles conducted in children and adolescents aged 3 to 18 years met inclusion criteria. Twenty main CCTBs were identified and further reviewed following PRISMA guidelines. Relevant study details (sample information, topic, location, setting, norms, and psychometrics) were extracted, as well as administration and instrument characteristics for the main CCTBs.

RESULTS

Findings suggest that CCTB use varies according to age, location, and topic, with eight tools accounting for 85% of studies, and the Cambridge Neuropsychological Test Automated Battery (CANTAB) being most frequently used. Few instruments were applied in web-based settings or include social cognition tasks. Only 13% of studies reported psychometric properties.

CONCLUSIONS

Over the past two decades, a high number of computerized cognitive batteries have been developed. Among these, more validation studies are needed, particularly across diverse cultural contexts. This review offers a comprehensive synthesis of CCTBs to aid both researchers and clinicians to conduct cognitive assessments in children in either a lab- or web-based setting.

Social Cognition and Functioning in Patients With Social Anxiety Disorder and/or Attention-Deficit/Hyperactivity Disorder

ABSTRACT

In recent years, social cognition and one of its dimensions, the theory of mind, have been more commonly investigated in patients with social anxiety disorder (SAD) and attention-deficit/hyperactivity disorder (ADHD). In this study, SAD, ADHD, comorbid SAD-ADHD, and healthy control (HC) groups, each consisting of 30 participants, were included and compared in terms of social cognition and functionality. Mean global functioning assessment scores were found to be significantly higher in the HC group compared with the other three groups and in the ADHD group compared with the SAD and SAD-ADHD groups. Mean Dokuz Eylül Theory of Mind Index total scores were found to be significantly higher in the HC group compared with the other three groups and in the SAD and SAD-ADHD groups compared with the ADHD group. These findings suggest that SAD patients with or without ADHD show better social cognition but worse functioning compared with pure ADHD patients.

The association between early childhood onset epilepsy and attention-deficit hyperactivity disorder (ADHD) in 3237 children and adolescents with Autism Spectrum Disorder (ASD): a historical longitudinal cohort data linkage study

Children and young people with Autism Spectrum Disorder (ASD) have an increased risk of comorbidities, such as epilepsy and Attention-Deficit/Hyperactivity Disorder (ADHD). However, little is known about the relationship between early childhood epilepsy (below age 7) and later ADHD diagnosis (at age 7 or above) in ASD. In this historical cohort study, we examined this relationship using an innovative data source, which included linked data from routinely collected acute hospital paediatric records and childhood community and inpatient psychiatric records. In a large sample of children and young people with ASD (N = 3237), we conducted a longitudinal analysis to examine early childhood epilepsy as a risk factor for ADHD diagnosis while adjusting for potential confounders, including socio-demographic characteristics, intellectual disability, family history of epilepsy and associated physical conditions. We found that ASD children and young people diagnosed with early childhood epilepsy had nearly a twofold increase in risk of developing ADHD later in life, an association which persisted after adjusting for potential confounders (adjusted OR = 1.72, CI95% = 1.13-2.62). This study suggests that sensitive monitoring of ADHD symptoms in children with ASD who have a history of childhood epilepsy may be important to promote early detection and treatment. It also highlights how linked electronic health records can be used to examine potential risk factors over time for multimorbidity in neurodevelopmental conditions.

Evaluating causal psychological models: A study of language theories of autism using a large sample

We used a large convenience sample (n = 22,223) from the Simons Powering Autism Research (SPARK) dataset to evaluate causal, explanatory theories of core autism symptoms. In particular, the data-items collected supported the testing of theories that posited altered language abilities as cause of social withdrawal, as well as alternative theories that competed with these language theories. Our results using this large dataset converge with the evolution of the field in the decades since these theories were first proposed, namely supporting primary social withdrawal (in some cases of autism) as a cause of altered language development, rather than vice versa. To accomplish the above empiric goals, we used a highly theory-constrained approach, one which differs from current data-driven modeling trends but is coherent with a very recent resurgence in theory-driven psychology. In addition to careful explication and formalization of theoretical accounts, we propose three principles for future work of this type: specification, quantification, and integration. Specification refers to constraining models with pre-existing data, from both outside and within autism research, with more elaborate models and more veridical measures, and with longitudinal data collection. Quantification refers to using continuous measures of both psychological causes and effects, as well as weighted graphs. This approach avoids "universality and uniqueness" tests that hold that a single cognitive difference could be responsible for a heterogeneous and complex behavioral phenotype. Integration of multiple explanatory paths within a single model helps the field examine for multiple contributors to a single behavioral feature or to multiple behavioral features. It also allows integration of explanatory theories across multiple current-day diagnoses and as well as typical development.

Social support for and features of Chinese adults with epilepsy

Background

The lack of social support for adults with epilepsy (AWEs) is receiving increased attention, as it may result in low quality of life. This study was aimed to confirm the demographic characteristics of and clinical factors associated with social support for AWEs.

Methods

AWEs were consecutively recruited from our hospital. The 10-term Social Support Rating Scale (SSRS) was used to measure social support. A linear regression analysis with stepwise selection was performed to analyze the independent variables associated with social support for AWEs.

Results

In total, 165 AWEs were consecutively included in the present study. Linear regression analysis showed that the marital status (t = -3.550, β = -0.272, P = 0.001), the age at onset (t = 2.545, β = 0.192, P = 0.012), and the QOLIE-31 score (t = 3.144, β = 0.221, P = 0.002) were independent variables associated with social support for AWEs.

Conclusions

Our findings suggest that the poor social support is associated with childhood onset of epilepsy and the unmarried status. This study also confirmed a negative influence of low social support on quality of life in AWEs.

Functional patterns of neural activation during vocal emotion recognition in youth with and without refractory epilepsy

Epilepsy has been associated with deficits in the social cognitive ability to decode others' nonverbal cues to infer their emotional intent (emotion recognition). Studies have begun to identify potential neural correlates of these deficits, but have focused primarily on one type of nonverbal cue (facial expressions) to the detriment of other crucial social signals that inform the tenor of social interactions (e.g., tone of voice). Less is known about how individuals with epilepsy process these forms of social stimuli, with a particular gap in knowledge about representation of vocal cues in the developing brain. The current study compared vocal emotion recognition skills and functional patterns of neural activation to emotional voices in youth with and without refractory focal epilepsy. We made novel use of inter-subject pattern analysis to determine brain areas in which activation to emotional voices was predictive of epilepsy status. Results indicated that youth with epilepsy were comparatively less able to infer emotional intent in vocal expressions than their typically developing peers. Activation to vocal emotional expressions in regions of the mentalizing and/or default mode network (e.g., right temporo-parietal junction, right hippocampus, right medial prefrontal cortex, among others) differentiated youth with and without epilepsy. These results are consistent with emerging evidence that pediatric epilepsy is associated with altered function in neural networks subserving social cognitive abilities. Our results contribute to ongoing efforts to understand the neural markers of social cognitive deficits in pediatric epilepsy, in order to better tailor and funnel interventions to this group of youth at risk for poor social outcomes.

Prediction of Seizure Recurrence. A Note of Caution

Great strides have been made recently in documenting that machine-learning programs can predict seizure occurrence in people who have epilepsy. Along with this progress have come claims that appear to us to be a bit premature. We anticipate that many people will benefit from seizure prediction. We also doubt that all will benefit. Although machine learning is a useful tool for aiding discovery, we believe that the greatest progress will come from deeper understanding of seizures, epilepsy, and the EEG features that enable seizure prediction. In this essay, we lay out reasons for optimism and skepticism.

Social brain networks: Resting-state and task-based connectivity in youth with and without epilepsy

Individuals with epilepsy often experience social difficulties and deficits in social cognition. It remains unknown how disruptions to neural networks underlying such skills may contribute to this clinical phenotype. The current study compared the organization of relevant brain circuits-the "mentalizing network" and a salience-related network centered on the amygdala-in youth with and without epilepsy. Functional connectivity between the nodes of these networks was assessed, both at rest and during engagement in a social cognitive task (facial emotion recognition), using functional magnetic resonance imaging. There were no group differences in resting-state connectivity within either neural network. In contrast, youth with epilepsy showed comparatively lower connectivity between the left posterior superior temporal sulcus and the medial prefrontal cortex-but greater connectivity within the left temporal lobe-when viewing faces in the task. These findings suggest that the organization of a mentalizing network underpinning social cognition may be disrupted in youth with epilepsy, though differences in connectivity within this circuit may shift depending on task demands. Our results highlight the importance of considering functional task-based engagement of neural systems in characterizations of network dysfunction in epilepsy.

Air Pollution-Related Brain Metal Dyshomeostasis as a Potential Risk Factor for Neurodevelopmental Disorders and Neurodegenerative Diseases

Increasing evidence links air pollution (AP) exposure to effects on the central nervous system structure and function. Particulate matter AP, especially the ultrafine (nanoparticle) components, can carry numerous metal and trace element contaminants that can reach the brain in utero and after birth. Excess brain exposure to either essential or non-essential elements can result in brain dyshomeostasis, which has been implicated in both neurodevelopmental disorders (NDDs; autism spectrum disorder, schizophrenia, and attention deficit hyperactivity disorder) and neurodegenerative diseases (NDGDs; Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, and amyotrophic lateral sclerosis). This review summarizes the current understanding of the extent to which the inhalational or intranasal instillation of metals reproduces in vivo the shared features of NDDs and NDGDs, including enlarged lateral ventricles, alterations in myelination, glutamatergic dysfunction, neuronal cell death, inflammation, microglial activation, oxidative stress, mitochondrial dysfunction, altered social behaviors, cognitive dysfunction, and impulsivity. Although evidence is limited to date, neuronal cell death, oxidative stress, and mitochondrial dysfunction are reproduced by numerous metals. Understanding the specific contribution of metals/trace elements to this neurotoxicity can guide the development of more realistic animal exposure models of human AP exposure and consequently lead to a more meaningful approach to mechanistic studies, potential intervention strategies, and regulatory requirements.

Social cognition in epilepsy: State of the art and perspectives

INTRODUCTION

The neuropsychology of epilepsy has been a major area of study for almost a century and cognitive impairments are an integral part of the new definition of epilepsy. Among such impairments, social cognition (SC) dysfunctions are of relatively recent interest. SC abilities refer to the body of knowledge and processes involved in establishing satisfying and appropriate social interactions. In particular, they allow the recognition of emotions in others, emotional experiences which are suitably adapted to social situations, and the ability to infer mental states in oneself and others.

METHODS

An overeview was conducted of the available data within the literature, with the objective of presenting the SC disorders associated with certain types of epilepsy and the possible risk factors already explored i.e., localisation of epileptic focus, age of onset/duration of the disease, and effects of treatments including surgery. Studies investigating the potential repercussions of these disorders on patients' daily life have also been included.

RESULTS

Social cognition disorders are an integral part of the cognitive disorders traditionally described in epilepsy. Indeed, a growing number of studies highlight the increased prevalence of SC disorders in various domains, and some patients appear to be more at risk than others. These disorders could be a major determining factor in the deterioration of patients' quality of life (QOL), particularly patients' support and social integration. This highlights the importance of assessing and managing these disorders in patients with epilepsy (PWE). Perspectives in the field of research and clinical practice are also evoked, such as exploring the links between disruptions in SC abilities and treatments, or developing specific tools for assessment and rehabilitation within the context of epilepsy.