A Narrative Review on the Relationship Between Autistic Traits and Anxiety
Abstract
205 1034
A Narrative Review on the Relationship Between Autistic Traits and Anxietyby
Abstract
Although anxiety and Autism Spectrum Disorder (ASD) are common co-morbidities, the relationship between autistic traits and anxiety disorders/symptoms has been increasingly researched in recent years. This review aims to compile the studies conducted on this topic and enhance our understanding of it. All publications up to September 1, 2024, on PubMed that contained the terms ‘anxiety’, ‘autistic traits’, ‘autism feature’, ‘autism-like symptoms’, and ‘ASD-like symptoms’, in their titles or abstracts were reviewed. [...] 205 1034 |
Mechanisms of Self-Awareness, Influence, and Self-IdentificationAbstract
World socio-political growth is shaped by globalization, integration, and multiculturalism, which also impact individual self-perception. Understanding personal development requires studying self-awareness, self-identification, and influence to identify internal requirements and external influences. The study examined self-awareness, self-identification, influence, and their relationships, as well as psychological interventions for self-assessment and self-realization. To attain the research goal, analysis, synthes [...] 195 12683 |
Mycotoxins Exposure: Neuroinflammation, Cognitive Decline and Behavioral AlterationAbstract
Evidence from recent studies has suggested a significant association between mycotoxin exposure and neuroinflammation, potentially contributing to the onset of neurocognitive disorders during key developmental stages of the brain. Various research highlights how exposure to these toxins is correlated with a decline in cognitive performance, reduced motor skills, and behavioral issues. Mycotoxins are also implicated in interfering with neuronal signaling pathways and the functioning of neurotransmitters, which may l [...] 300 1821 |
The Influence of Gender and Academic Achievement on University Students' Perceptions of LMS-Based Self-Regulated Learning in KoreaAbstract
This study examines how university students perceive Learning Management System (LMS)-based instruction within the context of higher education, as they adapt to the rapid digital transformation. Specifically, it examines how students' perceptions differ based on gender and academic achievement, providing insights for more inclusive and adaptive instructional design. LMS platforms, when actively utilized, offer more than just content delivery—they can enhance classroom transparency, provide immediate feedback, promo [...] 197 1285 |
Technology Support to Enable People with Severe Intellectual Disability and Blindness to Carry Out Occupational Activities and Transition Between Them Independentlyby
Abstract
People with severe intellectual disability and blindness tend to perform only simple occupational activities and are mostly unable to transition between those activities. This inability makes their level of occupation independent of staff support fairly limited. Technology-aided programs may be one of the few opportunities available to increase their independent occupation. This study assessed one such program designed to (a) monitor the participants’ responses and guide them to transition to a new activity once th [...] 211 1159 |
Interactive and Deep Learning-Powered EEG-BCI for Wrist Rehabilitation: A Game-based Prototype StudyAbstract
Motor deficits induced by neurological disorders impose a severe impact on activities of daily life. Conventional rehabilitation practices necessitate ongoing clinical supervision, which is costly and inaccessible. EEG-based brain-computer interface (BCI) systems offer a viable solution by facilitating neurorehabilitation through the direct interpretation of brain signals. Nonetheless, current systems are confronted with issues of real-time control, portability, and classification precision. The paper describes a n [...] 417 2941 |
Mindfulness Training to Reduce Anxiety in Socially Isolated Individuals with Schizophrenia: A Case StudyAbstract
This article aims to evaluate the impact of mindfulness training on Mr. A, a 17-year-old adolescent with schizophrenia experiencing social isolation and severe anxiety. The subject, Mr. A, is a 17-year-old male who presented with significant anxiety symptoms, including excessive worry, restlessness, difficulty concentrating, irritability, heart palpitations, rapid breathing, and sleep disturbances. These symptoms were accompanied by behaviors of social withdrawal, emotional detachment, and reluctance to communicate [...] 298 2073 |
Psychometric Properties of the Persian Version of the Interpersonal Mindfulness Scale (IMS) among Iranian Adolescentsby
Abstract
Interpersonal mindfulness, involving present-moment awareness and acceptance during social interactions, is crucial for emotional regulation and adaptive interpersonal functioning. This study examined the psychometric properties of the Persian version of the Interpersonal Mindfulness Scale (IMS), a 27-item instrument with four subscales: presence, awareness of self and others, nonjudgmental acceptance, and nonreactivity. The cross-sectional sample included 15- to 17-year-old Iranian adolescents (2023–2024), r [...] 445 3344 |
Neural Network of Alpha Rhythm rs-EEG Activity for the Assessment of Consciousness in Psychopathologyby
Abstract
Consciousness is an integrative process that combines several executive functions, as well as the analytical and synthetic activity of the brain. In some psychopathological conditions, in particular, in schizophrenia, low-information "borderline" disorders of the executive functions and consciousness are often formed at the onset. The present study was aimed at assessing the integration of the bran alpha regulatory system and the modulation of consciousness based on the data of recording the alpha rhythm of resting [...] 306 2418 |
A Systematic Literature Review on the Application of Explainable AI Approaches in the Assessment of Autism Spectrum DisorderAbstract
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder associated with significant heterogeneity in symptoms and comorbid conditions. Studies have shown the value of early and accurate diagnosis in mitigating the associated social and behavioral challenges. Recently, studies have demonstrated the potential of machine learning (ML) models in identifying ASD patterns from neuroimaging, genetic, and behavioral data. However, the limited interpretability of these models poses a barrier to their clinical adopti [...] 397 4307 |
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