A Systematic Review of Assessments for Sensory Processing Abnormalities in Autism Spectrum Disorder

2017 ◽  
Vol 4 (3) ◽  
pp. 209-224 ◽  
Author(s):  
Claire O. Burns ◽  
Dennis R. Dixon ◽  
Marlena Novack ◽  
Doreen Granpeesheh
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Sensory Processing ◽  
Autism Spectrum ◽  
Spectrum Disorder

Links between sensory processing, adaptive behaviours, and attention in children with autism spectrum disorder: A systematic review

2018 ◽  
Vol 270 ◽  
pp. 78-88 ◽  
Author(s):  
Florine Dellapiazza ◽  
Christelle Vernhet ◽  
Nathalie Blanc ◽  
Stéphanie Miot ◽  
Richard Schmidt ◽  
...  
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Sensory Processing ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Adaptive Behaviours

scholarly journals A Systematic Review of Brainstem Contributions to Autism Spectrum Disorder

2021 ◽  
Vol 15 ◽  
Author(s):  
Ala Seif ◽  
Carly Shea ◽  
Susanne Schmid ◽  
Ryan A. Stevenson
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Sensory Processing ◽  
Animal Studies ◽  
Neurodevelopmental Disorder ◽  
Sensorimotor Gating ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Functional Implications

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects one in 66 children in Canada. The contributions of changes in the cortex and cerebellum to autism have been studied for decades. However, our understanding of brainstem contributions has only started to emerge more recently. Disruptions of sensory processing, startle response, sensory filtering, sensorimotor gating, multisensory integration and sleep are all features of ASD and are processes in which the brainstem is involved. In addition, preliminary research into brainstem contribution emphasizes the importance of the developmental timeline rather than just the mature brainstem. Therefore, the purpose of this systematic review is to compile histological, behavioral, neuroimaging, and electrophysiological evidence from human and animal studies about brainstem contributions and their functional implications in autism. Moreover, due to the developmental nature of autism, the review pays attention to the atypical brainstem development and compares findings based on age. Overall, there is evidence of an important role of brainstem disruptions in ASD, but there is still the need to examine the brainstem across the life span, from infancy to adulthood which could lead the way for early diagnosis and possibly treatment of ASD.

Parent Education in Studies With Nonverbal and Minimally Verbal Participants With Autism Spectrum Disorder: A Systematic Review

2020 ◽  
Vol 29 (2) ◽  
pp. 890-902
Author(s):  
Lynn Kern Koegel ◽  
Katherine M. Bryan ◽  
Pumpki Lei Su ◽  
Mohini Vaidya ◽  
Stephen Camarata
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Parent Education ◽  
Autism Spectrum ◽  
Verbal Communication ◽  
Fidelity Of Implementation ◽  
Spectrum Disorder ◽  
Education Programs ◽  
Minimally Verbal ◽  
Parent Education Programs

Purpose The purpose of this systematic review was to identify parent education procedures implemented in intervention studies focused on expressive verbal communication for nonverbal (NV) or minimally verbal (MV) children with autism spectrum disorder (ASD). Parent education has been shown to be an essential component in the habilitation of individuals with ASD. Parents of individuals with ASD who are NV or MV may particularly benefit from parent education in order to provide opportunities for communication and to support their children across the life span. Method ProQuest databases were searched between the years of 1960 and 2018 to identify articles that targeted verbal communication in MV and NV individuals with ASD. A total of 1,231 were evaluated to assess whether parent education was implemented. We found 36 studies that included a parent education component. These were reviewed with regard to (a) the number of participants and participants' ages, (b) the parent education program provided, (c) the format of the parent education, (d) the duration of the parent education, (e) the measurement of parent education, and (f) the parent fidelity of implementation scores. Results The results of this analysis showed that very few studies have included a parent education component, descriptions of the parent education programs are unclear in most studies, and few studies have scored the parents' implementation of the intervention. Conclusions Currently, there is great variability in parent education programs in regard to participant age, hours provided, fidelity of implementation, format of parent education, and type of treatment used. Suggestions are made to provide both a more comprehensive description and consistent measurement of parent education programs.

Herbal Medicine as an Alternative Treatment in Autism Spectrum Disorder: A Systematic Review

2018 ◽  
Vol 19 (5) ◽  
pp. 454-459 ◽  
Author(s):  
Francielly Mourao Gasparotto ◽  
Francislaine Aparecida dos Reis Lívero ◽  
Sara Emilia Lima Tolouei Menegati ◽  
Arquimedes Gasparotto Junior
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Herbal Medicine ◽  
Alternative Treatment ◽  
Autism Spectrum ◽  
Spectrum Disorder

Diagnostic test accuracy for use of machine learning in diagnosis of autism spectrum disorder: A Systematic Review and Meta-Analysis (Preprint)

2019 ◽  
Author(s):  
Sun Jae Moon ◽  
Jin Seub Hwang ◽  
Rajesh Kana ◽  
John Torous ◽  
Jung Won Kim
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Meta Analysis ◽  
Learning Algorithms ◽  
Structural Mri ◽  
Autism Spectrum ◽  
Machine Learning Algorithms ◽  
Spectrum Disorder ◽  
Test Accuracy

BACKGROUND Over the recent years, machine learning algorithms have been more widely and increasingly applied in biomedical fields. In particular, its application has been drawing more attention in the field of psychiatry, for instance, as diagnostic tests/tools for autism spectrum disorder. However, given its complexity and potential clinical implications, there is ongoing need for further research on its accuracy. OBJECTIVE The current study aims to summarize the evidence for the accuracy of use of machine learning algorithms in diagnosing autism spectrum disorder (ASD) through systematic review and meta-analysis. METHODS MEDLINE, Embase, CINAHL Complete (with OpenDissertations), PsyINFO and IEEE Xplore Digital Library databases were searched on November 28th, 2018. Studies, which used a machine learning algorithm partially or fully in classifying ASD from controls and provided accuracy measures, were included in our analysis. Bivariate random effects model was applied to the pooled data in meta-analysis. Subgroup analysis was used to investigate and resolve the source of heterogeneity between studies. True-positive, false-positive, false negative and true-negative values from individual studies were used to calculate the pooled sensitivity and specificity values, draw SROC curves, and obtain area under the curve (AUC) and partial AUC. RESULTS A total of 43 studies were included for the final analysis, of which meta-analysis was performed on 40 studies (53 samples with 12,128 participants). A structural MRI subgroup meta-analysis (12 samples with 1,776 participants) showed the sensitivity at 0.83 (95% CI-0.76 to 0.89), specificity at 0.84 (95% CI -0.74 to 0.91), and AUC/pAUC at 0.90/0.83. An fMRI/deep neural network (DNN) subgroup meta-analysis (five samples with 1,345 participants) showed the sensitivity at 0.69 (95% CI- 0.62 to 0.75), the specificity at 0.66 (95% CI -0.61 to 0.70), and AUC/pAUC at 0.71/0.67. CONCLUSIONS Machine learning algorithms that used structural MRI features in diagnosis of ASD were shown to have accuracy that is similar to currently used diagnostic tools.

scholarly journals Sensory Processing and Aggressive Behavior in Adults with Autism Spectrum Disorder

2021 ◽  
Vol 11 (1) ◽  
pp. 95
Author(s):  
Frank van den Boogert ◽  
Bram Sizoo ◽  
Pascalle Spaan ◽  
Sharon Tolstra ◽  
Yvonne H. A. Bouman ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Aggressive Behavior ◽  
Sensory Processing ◽  
Short Form ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Sensory Profile ◽  
Sensory Sensitivity ◽  
Aggression Questionnaire ◽  
Adults With Asd

Autism spectrum disorder (ASD) may be accompanied by aggressive behavior and is associated with sensory processing difficulties. The present study aims to investigate the direct association between sensory processing and aggressive behavior in adults with ASD. A total of 101 Dutch adult participants with ASD, treated in outpatient or inpatient facilities, completed the Adolescent/Adult Sensory Profile (AASP), the Reactive-Proactive Aggression Questionnaire (RPQ), and the Aggression Questionnaire—Short Form (AQ-SF). Results revealed that sensory processing difficulties are associated with more aggressive behavior (f2=0.25), more proactive (f2=0.19) and reactive aggression (f2=0.27), more physical (f2=0.08) and verbal aggression (f2=0.13), and more anger (f2=0.20) and hostility (f2=0.12). Evidence was found for an interaction of the neurological threshold and behavioral response on total aggression and hostility. Participants with higher scores in comparison to the norm group in sensory sensitivity had the highest risk of aggressive behavior. In conclusion, clinical practice may benefit from applying detailed diagnostics on sensory processing difficulties when treating aggressive behavior in adults with ASD.

scholarly journals Scalp acupuncture for Autism spectrum disorder: a systematic review

2020 ◽  
Vol 440 ◽  
pp. 042094
Author(s):  
Huaimin Yi ◽  
Yajun Han ◽  
Mengxin Li ◽  
Jiong Wang ◽  
Liping Yang
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorder ◽  
Autism Spectrum ◽  
Scalp Acupuncture ◽  
Spectrum Disorder

scholarly journals Implication of the Sensory Environment in Children with Autism Spectrum Disorder: Perspectives from School

2021 ◽  
Vol 18 (14) ◽  
pp. 7670
Author(s):  
Ana Gentil-Gutiérrez ◽  
José Luis Cuesta-Gómez ◽  
Paula Rodríguez-Fernández ◽  
Jerónimo Javier González-Bernal
Keyword(s):  
Autism Spectrum Disorder ◽  
Sensory Processing ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Sensory Profile ◽  
School Factors ◽  
Cross Sectional ◽  
Sensory Stimuli ◽  
Children With Asd

(1) Background: Children with Autism Spectrum Disorder (ASD) frequently have difficulties in processing sensory information, which is a limitation when participating in different contexts, such as school. The objective of the present study was to compare the sensory processing characteristics of children with ASD in the natural context of school through the perception of professionals in the field of education, in comparison with neurodevelopmental children (2) Methods: A cross-sectional descriptive study as conducted with study population consisting of children between three and ten years old, 36 of whom were diagnosed with ASD and attended the Autismo Burgos association; the remaining 24 had neurotypical development. The degree of response of the children to sensory stimuli at school was evaluated using the Sensory Profile-2 (SP-2) questionnaire in its school version, answered by the teachers. (3) Results: Statistically significant differences were found in sensory processing patterns (p = 0.001), in sensory systems (p = 0.001) and in school factors (p = 0.001). Children with ASD who obtained worse results. (4) Conclusions: Children with ASD are prone to present sensory alterations in different contexts, giving nonadapted behavioral and learning responses.

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