Visual Exploration in Autism Spectrum Disorder: Exploring Age Differences and Dynamic Features Using Recurrence Quantification Analysis

2018 ◽  
Vol 11 (11) ◽  
pp. 1554-1566 ◽  
Author(s):  
Nikolay V. Manyakov ◽  
Abigail Bangerter ◽  
Meenakshi Chatterjee ◽  
Luke Mason ◽  
Seth Ness ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Age Differences ◽  
Autism Spectrum ◽  
Recurrence Quantification Analysis ◽  
Spectrum Disorder ◽  
Visual Exploration ◽  
Dynamic Features ◽  
Recurrence Quantification ◽  
Quantification Analysis

scholarly journals Saccade dysmetria indicates attenuated visual exploration in autism spectrum disorder

2020 ◽  
Author(s):  
Nico Bast ◽  
Luke Mason ◽  
Christine M. Freitag ◽  
Tim Smith ◽  
Ana Maria Portugal ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Visual Exploration

Reducing facial dynamics’ speed during speech enhances attention to mouth in children with autism spectrum disorder: An eye-tracking study

2020 ◽  
pp. 1-10
Author(s):  
Bruno Gepner ◽  
Anaïs Godde ◽  
Aurore Charrier ◽  
Nicolas Carvalho ◽  
Carole Tardif
Keyword(s):  
Autism Spectrum Disorder ◽  
Eye Tracking ◽  
Real Time ◽  
Therapeutic Potential ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Visual Exploration ◽  
Children With Asd ◽  
The Face ◽  
Visual Fixations

Abstract Facial movements of others during verbal and social interaction are often too rapid to be faced and/or processed in time by numerous children and adults with autism spectrum disorder (ASD), which could contribute to their face-to-face interaction peculiarities. We wish here to measure the effect of reducing the speed of one's facial dynamics on the visual exploration of the face by children with ASD. Twenty-three children with ASD and 29 typically-developing control children matched for chronological age passively viewed a video of a speaker telling a story at various velocities, i.e., a real-time speed and two slowed-down speeds. The visual scene was divided into four areas of interest (AOI): face, mouth, eyes, and outside the face. With an eye-tracking system, we measured the percentage of total fixation duration per AOI and the number and mean duration of the visual fixations made on each AOI. In children with ASD, the mean duration of visual fixations on the mouth region, which correlated with their verbal level, increased at slowed-down velocity compared with the real-time one, a finding which parallels a result also found in the control children. These findings strengthen the therapeutic potential of slowness for enhancing verbal and language abilities in children with ASD.

Non-intrusive and calibration free visual exploration analysis in children with Autism Spectrum Disorder

2015 ◽  
pp. 201-207 ◽  
Author(s):  
Dario Cazzato ◽  
Francesco Adamo ◽  
Giuseppe Palestra ◽  
Giulia Crifaci ◽  
Paola Pennisi ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Visual Exploration ◽  
Calibration Free

scholarly journals Dynamical properties of elemental metabolism distinguish attention deficit hyperactivity disorder from autism spectrum disorder

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Christine Austin ◽  
Paul Curtin ◽  
Austen Curtin ◽  
Chris Gennings ◽  
Manish Arora ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Twin Studies ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Early Postnatal Development ◽  
Hyperactivity Disorder ◽  
Quantification Analysis ◽  
Temporal Profiles

Abstract Attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are neurodevelopmental conditions of overlapping etiologies and phenotypes. For ASD, we recently reported altered elemental metabolic patterns in the form of short and irregular zinc and copper cycles. Here, we extend the application of these biomarkers of prenatal and early postnatal elemental metabolism to distinguish between individuals diagnosed with ADHD and/or ASD and neurotypical controls. We recruited twins discordant for ADHD, ASD and other neurodevelopmental diagnoses from national twin studies in Sweden (N = 74) diagnosed according to DSM-5 clinical consensus and standardized psychiatric instruments. Detailed temporal profiles of exposure to 10 metals over the prenatal and early childhood periods were measured using tooth biomarkers. We used recurrence quantification analysis (RQA) to characterize properties of cyclical metabolic patterns of these metals. Regularity (determinism) and complexity (entropy) of elemental cycles was consistently reduced in ADHD for cobalt, lead, and vanadium (determinism: cobalt, β = −0.03, P = 0.017; lead, β = −0.03, P = 0.016; and vanadium, β = −0.03, P = 0.01. Entropy: cobalt, β = −0.13, P = 0.017; lead, β = −0.18, P = 0.016; and vanadium, β = −0.15, P = 0.008). Further, we found elemental pathways and dynamical features specific to ADHD vs ASD, and unique characteristics associated with ADHD/ASD combined presentation. Dysregulation of cyclical processes in elemental metabolism during prenatal and early postnatal development not only encompasses pathways shared by ADHD and ASD, but also comprise features specific to either condition.

scholarly journals Recurrence Quantification Analysis of Postural Stability with Pendant-Based IMU under Varying Balance Conditions

2020 ◽  
Vol 9 (1) ◽  
pp. 243-247
Author(s):  
Shubo Lyu ◽  
Hui Yang ◽  
Stephen J. Piazza ◽  
Danielle Symons Downs ◽  
Andris Freivalds
Keyword(s):  
Data Analysis ◽  
Postural Stability ◽  
Center Of Mass ◽  
Recurrence Quantification Analysis ◽  
Dynamic Features ◽  
Research Areas ◽  
Lower Back ◽  
Populations At Risk ◽  
Recurrence Quantification ◽  
Quantification Analysis

Recurrence quantification analysis (RQA) has been widely implemented as a nonlinear data analysis method in multiple research areas and has shown good potential for the study of human postural stability. Dynamic features identified by RQA may be useful for characterizing balance disorders using inertial measurement units (IMUs) placed on the lower back near the body’s center of mass. However, wearing IMU sensors may be challenging for some specific populations at risk for falling such as pregnant women due to discomfort and lack of fit. A novel pendant-based IMU sensor was proposed and shown to have good sensitivity to postural instability in different standing tasks, when compared with the sensor worn on the lower back with a waist belt. This study’s objective is to evaluate the sensitivity of the pendant sensor to balance perturbations using RQA-the nonstationary method. Six RQA measurements (%recurrence, %deterministic, linemax, entropy, %laminarity, trapping time) were extracted for data analysis. The objective of this research is to validate whether the pendant-based sensor can distinguish different balance conditions as well as or better than a sensor on a waist belt using RQA measurements.

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