scholarly journals A Comparison Study between Autism Spectrum Disorder and Typically Control in Graph Frequency Bands Using Graph and Triadic Interaction Metrics

2021 ◽  
Author(s):  
Alireza Talesh Jafadideh ◽  
Babak Mohammadzadeh Asl
Keyword(s):  
Autism Spectrum Disorder ◽  
Functional Integration ◽  
Repetitive Behavior ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Triadic Interaction ◽  
Frequency Bands ◽  
Triadic Interactions ◽  
Structural Graph ◽  
Functional Graph

Many researchers using many different approaches have attempted to find features discriminating between autism spectrum disorder (ASD) and typically control (TC) subjects. In this study, this attempt has been continued by analyzing global metrics of functional graphs and metrics of functional triadic interactions of the brain in the low, middle, and high-frequency bands (LFB, MFB, and HFB) of the structural graph. The graph signal processing (GSP) provided the combinatorial usage of the functional graph of resting-state fMRI and structural graph of DTI. In comparison to TCs, ASDs had significantly higher clustering coefficients in the MFB, higher efficiencies and strengths in the MFB and HFB, and lower small-world propensity in the HFB. These results show over-connectivity, more global integration, and probably decreased local specialization in ASDs compared to TCs. Triadic analysis showed that the numbers of unbalanced triads were significantly lower for ASDs in the MFB. This finding may show the reason for restricted and repetitive behavior in ASDs. Also, in the MFB and HFB, the numbers of balanced triads and the energies of triadic interactions were significantly higher and lower for ASDs, respectively. These findings may reflect the disruption of the optimum balance between functional integration and specialization. All of these results demonstrated that the significant differences between ASDs and TCs existed in the MFB and HFB of the structural graph when analyzing the global metrics of the functional graph and triadic interaction metrics. In conclusion, the results demonstrate the promising perspective of GSP for attaining discriminative features and new knowledge, especially in the case of ASD.

scholarly journals The Gut-Brain Axis in Autism Spectrum Disorder: A Focus on the Metalloproteases ADAM10 and ADAM17

2020 ◽  
Vol 22 (1) ◽  
pp. 118
Author(s):  
Yuanpeng Zheng ◽  
Tessa A. Verhoeff ◽  
Paula Perez Pardo ◽  
Johan Garssen ◽  
Aletta D. Kraneveld
Keyword(s):  
Autism Spectrum Disorder ◽  
Intestinal Tract ◽  
Synapse Formation ◽  
Inflammatory Responses ◽  
Repetitive Behavior ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Protein Substrates ◽  
Specific Proteins ◽  
Membrane Bound

Autism Spectrum Disorder (ASD) is a spectrum of disorders that are characterized by problems in social interaction and repetitive behavior. The disease is thought to develop from changes in brain development at an early age, although the exact mechanisms are not known yet. In addition, a significant number of people with ASD develop problems in the intestinal tract. A Disintegrin And Metalloproteases (ADAMs) include a group of enzymes that are able to cleave membrane-bound proteins. ADAM10 and ADAM17 are two members of this family that are able to cleave protein substrates involved in ASD pathogenesis, such as specific proteins important for synapse formation, axon signaling and neuroinflammation. All these pathological mechanisms are involved in ASD. Besides the brain, ADAM10 and ADAM17 are also highly expressed in the intestines. ADAM10 and ADAM17 have implications in pathways that regulate gut permeability, homeostasis and inflammation. These metalloproteases might be involved in microbiota-gut–brain axis interactions in ASD through the regulation of immune and inflammatory responses in the intestinal tract. In this review, the potential roles of ADAM10 and ADAM17 in the pathology of ASD and as targets for new therapies will be discussed, with a focus on the gut–brain axis.

scholarly journals 2288 Neural correlates of face processing in autism spectrum disorder: A quantitative meta-analysis of current literature and future directions

2018 ◽  
Vol 2 (S1) ◽  
pp. 21-22
Author(s):  
Carla J. Ammons ◽  
Mary-Elizabeth Winslett ◽  
Rajesh K. Kana
Keyword(s):  
Autism Spectrum Disorder ◽  
Face Processing ◽  
Repetitive Behavior ◽  
Autism Spectrum ◽  
Small Sample ◽  
Spectrum Disorder ◽  
Future Research ◽  
Healthy Controls ◽  
Specific Level

OBJECTIVES/SPECIFIC AIMS: Autism spectrum disorder (ASD) affects 1 in 68 people and includes restricted, repetitive behavior, and social communication deficits. Aspects of face processing (i.e., identity, emotion perception) are impaired in some with ASD. Neuroimaging studies have shown aberrant patterns of brain activation and connectivity of face processing regions. However, small sample sizes and inconsistent results have hindered clinical utility of these findings. The study aims to establish consistent patterns of brain responses to faces in ASD and provide directions for future research. METHODS/STUDY POPULATION: Neuroimaging studies were identified through a multi-database search according to PRISMA guidelines. In total, 23 studies were retained for a sample size of 383 healthy controls and 345 ASD. Peak coordinates were extracted for activation likelihood estimation (ALE) in GingerALE v2.3.6. Follow-up ALE analyses investigated directed Versus undirected gaze, static Versus dynamic, emotional Versus neutral, and familiar Versus unfamiliar faces. RESULTS/ANTICIPATED RESULTS: Faces produced bilateral activation of the fusiform gyrus (FG) in healthy controls (−42 −52 −20; 22 −74 −12, p<0.05, FDR) and left FG activation in ASD (−42 −54 −16, p<0.05, FDR). Activation in both groups was lateral to the mid-fusiform sulcus. Follow-up results pending. DISCUSSION/SIGNIFICANCE OF IMPACT: Reduced right FG activation to faces may inform biomarker or response to intervention studies. Mid-fusiform sulcus proved a reliable predictor of functional divides should be investigated on a subject-specific level.

scholarly journals Use of Longitudinal EEG Measures in Estimating Language Development in Infants With and Without Familial Risk for Autism Spectrum Disorder

2020 ◽  
Vol 1 (1) ◽  
pp. 33-53 ◽  
Author(s):  
Carol L. Wilkinson ◽  
Laurel J. Gabard-Durnam ◽  
Kush Kapur ◽  
Helen Tager-Flusberg ◽  
April R. Levin ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
High Risk ◽  
Language Development ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Risk Status ◽  
Prospective Longitudinal Study ◽  
Frequency Bands ◽  
Eeg Power ◽  
Prospective Longitudinal

Language development in children with autism spectrum disorder (ASD) varies greatly among affected individuals and is a strong predictor of later outcomes. Younger siblings of children with ASD have increased risk of ASD, but also language delay. Identifying neural markers of language outcomes in infant siblings could facilitate earlier intervention and improved outcomes. This study aimed to determine whether electroencephalography (EEG) measures from the first 2 years of life can explain heterogeneity in language development in children at low and high risk for ASD, and whether associations between EEG measures and language development are different depending on ASD risk status or later ASD diagnosis. In this prospective longitudinal study, EEG measures collected between 3 and 24 months were used in a multivariate linear regression model to estimate participants’ 24-month language development. Individual baseline longitudinal EEG measures included (1) the slope of EEG power across 3 to 12 months or 3 to 24 months of life for six canonical frequency bands, (2) the estimated EEG power at 6 months of age for the same frequency bands, and (3) terms representing the interaction between ASD risk status and EEG power measures. Modeled 24-month language scores using EEG data from either the first 2 years (Pearson p = 0.70, 95% CI [0.595, 0.783], p = 1 × 10−18) or the first year of life (Pearson p = 0.66, 95% CI [0.540, 0.761], p = 2.5 × 10−14) were highly correlated with observed scores. All models included significant interaction effects of risk on EEG measures, suggesting that EEG-language associations are different depending on risk status, and that different brain mechanisms affect language development in low- versus high-risk infants.

scholarly journals Periventricular white matter abnormalities and restricted repetitive behavior in autism spectrum disorder

2016 ◽  
Vol 10 ◽  
pp. 36-45 ◽  
Author(s):  
Karen Blackmon ◽  
Emma Ben-Avi ◽  
Xiuyuan Wang ◽  
Heath R. Pardoe ◽  
Adriana Di Martino ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
White Matter ◽  
Repetitive Behavior ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Periventricular White Matter ◽  
White Matter Abnormalities

scholarly journals SOME BIOCHEMICAL IMPLICATIONS IN AUTISM SPECTRUM DISORDER

2014 ◽  
Vol 2 (3) ◽  
Author(s):  
Cristiane Pinheiro Lázaro ◽  
Milena Pereira Pondé ◽  
Luiz Erlon A. Rodrigues
Keyword(s):  
Autism Spectrum Disorder ◽  
Repetitive Behavior ◽  
Clinical Manifestations ◽  
Laboratory Diagnosis ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Physiological Processes ◽  
Oppositional Defiant ◽  
Enzymatic Regulation ◽  
Nosological Entity

Autism spectrum disorder (ASD) affects 0.6 to 1% of the population worldwide. It is characterized by a deficit in communication and social interaction, and is associated with restricted and repetitive behavior patterns. Stereotypes include inflexible adhesion to specific non-functional routines and rituals and a persistent concern with parts of objects rather than the object as a whole. Up to the present time, there are no specific tests that permit a laboratory diagnosis of the disorder to be carried out, and the syndrome is confirmed by clinical observation in the first 36 months of the patient’s life. Clinical manifestations such as epilepsy, mental retardation, sleep disorders, hyperactivity, irritability and auto- and heteroaggressiveness may alter the patient’s prognosis. Around 50% of children with ASD fulfill the criteria for attention deficit hyperactivity disorder (ADHD). Symptoms of oppositional defiant disorder (ODD) associated with autism appear to indicate a distinct phenotype requiring specific therapeutic measures. ASD is not a discrete nosological entity but, rather, a multifactorial syndrome associated with different phenotypic and biological presentations. Various disorders such as pathologies of the gastrointestinal tract have been linked to ASD, not only insofar as causality is concerned but also with respect to their role in aggravating the disease. Other associated disorders include lesions in physiological processes such as the redox metabolism, mitochondrial dysfunction and enzymatic regulation of essential metabolites. Currently, studies on direct and indirect markers of mitochondrial metabolism associated with anomalies found in the brain of these patients point to the possibility of these markers being used as tools with which to reach a diagnosis that would be laboratory based rather than merely clinical.

scholarly journals Social (Pragmatic) Communication Disorder: Another name for the Broad Autism Phenotype?

Autism ◽  
2019 ◽  
Vol 23 (8) ◽  
pp. 1982-1992 ◽  
Author(s):  
Judy Flax ◽  
Christine Gwin ◽  
Sherri Wilson ◽  
Yuli Fradkin ◽  
Steve Buyske ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Social Communication ◽  
Repetitive Behavior ◽  
Family Members ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Communication Disorder ◽  
Restricted Interests ◽  
Communication Impairment ◽  
Pragmatic Communication

The Diagnostic and Statistical Manual of Mental Disorders’ (5th ed.) Social (Pragmatic) Communication Disorder is meant to capture the social elements of communication dysfunction in children who do not meet autism spectrum disorder criteria. It is unclear whether Social (Pragmatic) Communication Disorder captures these elements without overlapping with Autism Spectrum Disorder or the Diagnostic and Statistical Manual of Mental Disorders’ (5th ed.) Language Disorder. Standardized behavioral assessments administered during a family genetics study were used to evaluate the social communication impairment and the restricted interests and repetitive behaviors in persons with autism spectrum disorder, language impairment, or neither. Social communication impairment and restricted interests and repetitive behavior were significantly correlated in all family members regardless of affection status. Rates of social communication impairment and restricted interests and repetitive behavior were highest in individuals with autism spectrum disorder. One-third of family members with language impairment presented with at least mild/moderate levels of social communication impairment (36.6%) and restricted interests and repetitive behavior (43.3%). A subset of unaffected members also presented with mild/moderate levels of social communication impairment (parents = 10.1%, siblings 11.6%) and restricted interests and repetitive behavior (parents = 14.0%, siblings = 22.1%). The majority of child family members with mild/moderate levels of social communication impairment had similar restricted interest and repetitive behavior levels reflecting criteria representing the Broad Autism Phenotype. These data suggest that social pragmatic communication disorder does not capture the profiles of children who have both social communication impairment and restricted interests and repetitive behavior but are in need of clinical services.

scholarly journals Nuclear Peroxisome Proliferator-Activated Receptors (PPARs) as Therapeutic Targets of Resveratrol for Autism Spectrum Disorder

2019 ◽  
Vol 20 (8) ◽  
pp. 1878 ◽  
Author(s):  
Rita Barone ◽  
Renata Rizzo ◽  
Giovanni Tabbì ◽  
Michele Malaguarnera ◽  
Richard E. Frye ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Neurodevelopmental Disorder ◽  
Repetitive Behavior ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Acid Oxidation ◽  
Peroxisome Proliferator ◽  
Mitochondrial Fatty Acid Oxidation ◽  
Mitochondrial Fatty Acid ◽  
Peroxisome Proliferator Activated Receptors

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by defective social communication and interaction and restricted, repetitive behavior with a complex, multifactorial etiology. Despite an increasing worldwide prevalence of ASD, there is currently no pharmacological cure to treat core symptoms of ASD. Clinical evidence and molecular data support the role of impaired mitochondrial fatty acid oxidation (FAO) in ASD. The recognition of defects in energy metabolism in ASD may be important for better understanding ASD and developing therapeutic intervention. The nuclear peroxisome proliferator-activated receptors (PPAR) α, δ, and γ are ligand-activated receptors with distinct physiological functions in regulating lipid and glucose metabolism, as well as inflammatory response. PPAR activation allows a coordinated up-regulation of numerous FAO enzymes, resulting in significant PPAR-driven increases in mitochondrial FAO flux. Resveratrol (RSV) is a polyphenolic compound which exhibits metabolic, antioxidant, and anti-inflammatory properties, pointing to possible applications in ASD therapeutics. In this study, we review the evidence for the existing links between ASD and impaired mitochondrial FAO and review the potential implications for regulation of mitochondrial FAO in ASD by PPAR activators, including RSV.

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