The Effectiveness of Dance/Movement Therapy Interventions for Autism Spectrum Disorder: A Systematic Review

A review of current literature indicates that adults diagnosed with autism spectrum disorder (ASD) feel the need for intimate and sexual relationships and maintain such relationships despite and alongside their difficulties in emotional communication, social interactions, reciprocity, and verbal and non-verbal expression. This understanding calls for the development of intervention programs designed to support the specific needs and address the problems of couples where one partner is diagnosed with ASD. In view of the relevance and significant part played by body and movement in emotional development and psychotherapy, the present article offers a review of studies examining the contribution of dance movement therapy to both the quality of life and functioning of adults with ASD and therapeutic processes in couple therapy. This review aims to establish an infrastructure for the construction of intervention programs and for future studies designed to enhance the quality of life and independence of adults with ASD.

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“We Dance and Find Each Other”1: Effects of Dance/Movement Therapy on Negative Symptoms in Autism Spectrum Disorder

Behavioral Sciences ◽

10.3390/bs6040024 ◽

2016 ◽

Vol 6 (4) ◽

pp. 24 ◽

Cited By ~ 11

Author(s):

Malin Hildebrandt ◽

Sabine Koch ◽

Thomas Fuchs

Keyword(s):

Autism Spectrum Disorder ◽

Negative Symptoms ◽

Movement Therapy ◽

Autism Spectrum ◽

Spectrum Disorder ◽

Dance Movement Therapy ◽

Dance Movement

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Effects of Dance Movement Therapy on Adult Patients with Autism Spectrum Disorder: A Randomized Controlled Trial

Behavioral Sciences ◽

10.3390/bs8070061 ◽

2018 ◽

Vol 8 (7) ◽

pp. 61 ◽

Cited By ~ 5

Author(s):

Anna Mastrominico ◽

Thomas Fuchs ◽

Elizabeth Manders ◽

Lena Steffinger ◽

Dusan Hirjak ◽

...

Keyword(s):

Autism Spectrum Disorder ◽

Randomized Controlled Trial ◽

Controlled Trial ◽

Movement Therapy ◽

Autism Spectrum ◽

Spectrum Disorder ◽

Adult Patients ◽

Dance Movement Therapy ◽

Dance Movement ◽

Randomized Controlled

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

American Journal of Speech-Language Pathology ◽

10.1044/2019_ajslp-19-00007 ◽

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.

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

Current Drug Metabolism ◽

10.2174/1389200219666171227202332 ◽

2018 ◽

Vol 19 (5) ◽

pp. 454-459 ◽

Cited By ~ 2

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

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

10.2196/preprints.14108 ◽

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.

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