scholarly journals The Neurobiology of Autism Spectrum Disorder As It Relates to Twice Exceptionality

2021 ◽  
Author(s):  
Rachel Sharkey ◽  
Thomas Nickl-Jockschat
Keyword(s):  
Autism Spectrum Disorder ◽  
Neurodevelopmental Disorders ◽  
Cognitive Abilities ◽  
Inflection Point ◽  
Autism Spectrum ◽  
Neural Mechanisms ◽  
Spectrum Disorder ◽  
Specific Interest ◽  
Twice Exceptional ◽  
Multiple Conditions

There is a long-standing association between exceptional cognitive abilities, of various sorts, and neuropsychiatric illness, but it has historically largely been investigated in an exploratory and non-systematic way. One group in which this association has been investigated with more rigor is in subjects who have been identified as twice exceptional; an educational term describing subjects who are both gifted and diagnosed with a neuropsychiatric disability. This term covers multiple conditions, but is of specific interest in particular in the study of autism spectrum disorder. Recent findings have led to the development of a hypothesis that a certain degree of the neurobiology associated with autism might even be advantageous for individuals and could lead to high giftedness, while becoming disadvantageous, once a certain threshold is surpassed. In this model, the same neurobiological mechanisms confer an increasing advantage up to a certain threshold, but become pathological past that point. Twice-exceptional individuals would be exactly at the inflection point, being highly gifted, but also symptomatic at the same time. Here, we review how existing neuroimaging literature on autism spectrum disorder can inform research on twice exceptionality specifically. We propose to study key neural networks with a robust implication in ASD to identify the neurobiology underlying twice-exceptionality. A better understanding of the neural mechanisms of twice exceptionality should help to better understand resilience and vulnerability to neurodevelopmental disorders and tofurther support affected individuals.

A Case Study: Unique Challenges of an Adolescent Female With Autism Spectrum Disorder

2020 ◽  
Vol 5 (1) ◽  
pp. 314-325
Author(s):  
Kimberly F. Frazier ◽  
Jessica Collier ◽  
Rachel Glade
Keyword(s):  
Autism Spectrum Disorder ◽  
Cognitive Abilities ◽  
Social Cognitive ◽  
Social Performance ◽  
Management Strategies ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Self Management ◽  
Adolescent Female ◽  
Social Thinking

Background The aim of this study was to determine the clinical efficacy of combining self-management strategies and a social thinking approach to address the social performance and executive function of an adolescent female with autism spectrum disorder. Method This research examined the effects of a social knowledge training program, “Think Social,” as well as strategies to improve higher order cognitive abilities. Results and Conclusion Although quantitative improvement was not found, several qualitative gains in behavior were noted for the participants of this study, suggesting a benefit from using structured environmental cues of self-management strategies, as well as improved social understanding through social cognitive training.

scholarly journals Graph Ricci Curvatures Reveal Disease-related Changes in Autism Spectrum Disorder

2021 ◽  
Author(s):  
Pavithra Elumalai ◽  
Yasharth Yadav ◽  
Nitin Williams ◽  
Emil Saucan ◽  
Jürgen Jost ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Resting State ◽  
Neurodevelopmental Disorders ◽  
Data Exchange ◽  
Meta Analysis ◽  
Resting State Fmri ◽  
Brain Regions ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
The Brain

Autism Spectrum Disorder (ASD) is a set of neurodevelopmental disorders that pose a significant global health burden. Measures from graph theory have been used to characterise ASD-related changes in resting-state fMRI functional connectivity networks (FCNs), but recently developed geometry-inspired measures have not been applied so far. In this study, we applied geometry-inspired graph Ricci curvatures to investigate ASD-related changes in resting-state fMRI FCNs. To do this, we applied Forman-Ricci and Ollivier-Ricci curvatures to compare networks of ASD and healthy controls (N = 1112) from the Autism Brain Imaging Data Exchange I (ABIDE-I) dataset. We performed these comparisons at the brain-wide level as well as at the level of individual brain regions, and further, determined the behavioral relevance of region-specific differences with Neurosynth meta-analysis decoding. We found brain-wide ASD-related differences for both Forman-Ricci and Ollivier-Ricci curvatures. For Forman-Ricci curvature, these differences were distributed across 83 of the 200 brain regions studied, and concentrated within the Default Mode, Somatomotor and Ventral Attention Network. Meta-analysis decoding identified the brain regions showing curvature differences as involved in social cognition, memory, language and movement. Notably, comparison with results from previous non-invasive stimulation (TMS/tDCS) experiments revealed that the set of brain regions showing curvature differences overlapped with the set of brain regions whose stimulation resulted in positive cognitive or behavioural outcomes in ASD patients. These results underscore the utility of geometry-inspired graph Ricci curvatures in characterising disease-related changes in ASD, and possibly, other neurodevelopmental disorders.

Automatic Detection and Assessment of Autism Spectrum Disorder

2021 ◽  
pp. 396-425
Author(s):  
Thanga Aarthy M. ◽  
Menaka R. ◽  
Karthik R.
Keyword(s):  
Autism Spectrum Disorder ◽  
Early Detection ◽  
Early Diagnosis ◽  
Neurodevelopmental Disorders ◽  
Pathological Condition ◽  
Neurodevelopmental Disorder ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Attention Deficit Hyperactive Disorder ◽  
Clinical Methods

Children with neurodevelopmental disorders are increasing gradually every year. One in 100 children are diagnosed with brain function disorder. There are wide categories of disorder such as attention deficit hyperactive disorder, learning, autism spectrum disorder (ASD), etc. In this work, the focus is on ASD, its clinical methods, and analysis in various research works. ASD is a neurodevelopmental disorder which affects the intellectual functioning, social interaction (adaptive behavior), and has a specific obsessive interest. At present, there is no known cure for ASD, but the level of the pathological condition can be reduced when it is detected early. Early detection is tough and challenging till date. Many researches were carried out to ease the early detection for clinicians. Each method has its own merits and demerits. This chapter reviews and condenses various research works and their efficacy in analysis for the early diagnosis and improvement in children with autism.

scholarly journals Salivary Cytokine Profile as a Possible Predictor of Autism Spectrum Disorder

2020 ◽  
Vol 9 (10) ◽  
pp. 3101 ◽  
Author(s):  
Joanna Samborska-Mazur ◽  
Anna Kostiukow ◽  
Izabela Miechowicz ◽  
Dorota Sikorska ◽  
Rafał Rutkowski ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Neurodevelopmental Disorders ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Typically Developing ◽  
Monocyte Chemoattractant Protein 1 ◽  
Children With Asd ◽  
Cytokine Levels ◽  
Factor Α ◽  
Gait Disturbances

Autism spectrum disorder (ASD) is characterized by neurodevelopmental disorders and alterations in immune function and cytokine levels. The aim of this study is to determine the salivary levels of interleukin-1β (IL-1β), interleukin-6 (IL-6), interleukin-8 (IL-8), tumor necrosis factor α (TNFα), monocyte chemoattractant protein-1 (MCP-1), Regulated on Activation, Normal T-cell Expressed and Secreted (RANTES), and Eotaxin in children with ASD and in healthy controlsto assess their predictive potential. We explored correlations between the cytokine levels and the neurodevelopmental disorders related to ASD. The study comprised 19 children with ASD and 19 typically developing (TD) ones. We analyzed salivary levels of IL-1β, IL-6, IL-8, TNFα, MCP-1, RANTES, and eotaxin on Luminex with custom-designed 7-plex kits. The level of RANTES in ASD children was significantly lower than those of TD. In TDs, the salivary levels of IL-1β, MCP-1, and TNFα correlated positively with age. In ASD, the cytokine levels did not correlate with age. There were statistically significant differences between the RANTES level and aggression and gait disturbances, between IL-8 level and fixations/stimulations, and between IL-1β level and no active speech. The levels of the cytokine detected can manifest both systemic and local changes related to ASD. The cytokine pattern cannot be used as a sole ASD predictor, but the salivary levels may be helpful in categorizing the ASD subtype.

scholarly journals Autism spectrum disorder at the crossroad between genes and environment: contributions, convergences, and interactions in ASD developmental pathophysiology

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Cristina Cheroni ◽  
Nicolò Caporale ◽  
Giuseppe Testa
Keyword(s):  
Autism Spectrum Disorder ◽  
Environmental Factors ◽  
Neurodevelopmental Disorders ◽  
Chemical Exposure ◽  
Autism Spectrum ◽  
Synaptic Function ◽  
Spectrum Disorder ◽  
Regulatory Pathways ◽  
Genes And Environment ◽  
Analytical Approaches

Abstract The complex pathophysiology of autism spectrum disorder encompasses interactions between genetic and environmental factors. On the one hand, hundreds of genes, converging at the functional level on selective biological domains such as epigenetic regulation and synaptic function, have been identified to be either causative or risk factors of autism. On the other hand, exposure to chemicals that are widespread in the environment, such as endocrine disruptors, has been associated with adverse effects on human health, including neurodevelopmental disorders. Interestingly, experimental results suggest an overlap in the regulatory pathways perturbed by genetic mutations and environmental factors, depicting convergences and complex interplays between genetic susceptibility and toxic insults. The pervasive nature of chemical exposure poses pivotal challenges for neurotoxicological studies, regulatory agencies, and policy makers. This highlights an emerging need of developing new integrative models, including biomonitoring, epidemiology, experimental, and computational tools, able to capture real-life scenarios encompassing the interaction between chronic exposure to mixture of substances and individuals’ genetic backgrounds. In this review, we address the intertwined roles of genetic lesions and environmental insults. Specifically, we outline the transformative potential of stem cell models, coupled with omics analytical approaches at increasingly single cell resolution, as converging tools to experimentally dissect the pathogenic mechanisms underlying neurodevelopmental disorders, as well as to improve developmental neurotoxicology risk assessment.

Development of Lying and Cognitive Abilities

2018 ◽  
pp. 398-407
Author(s):  
Victoria Talwar
Keyword(s):  
Autism Spectrum Disorder ◽  
Cognitive Development ◽  
Theory Of Mind ◽  
Executive Functioning ◽  
Cognitive Functions ◽  
Cognitive Abilities ◽  
Autism Spectrum ◽  
Spectrum Disorder

The emergence and development of children’s lie-telling is closely associated with their developing cognitive abilities. Telling a lie involves complicated cognitive functions including theory-of-mind understanding and executive functioning abilities. Recent research has found that lie-telling emerges in the preschool years and children’s abilities to maintain their lies improves with age. The current chapter reviews existing literature on the development of children’s lie-telling behavior and its relation to various aspects of children’s cognitive development. It covers the work of Lewis, Stanger, and Sullivan (1989), including the well-known guessing-game experiment, where the child is left alone with temptation and the instruction not to peek. Much of Talwar, Lee, et al.’s research into three-to-seven-year-old children’s lie-telling behavior is covered; and the interaction between these studies and Theory of Mind is emphasized; this is illuminated in the account of research using child subjects with Autism Spectrum Disorder.

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