Τίτλος:
Social Visual Perception Under the Eye of Bayesian Theories in Autism
Spectrum Disorder Using Advanced Modeling of Spatial and Temporal
Parameters
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
Social interaction in individuals with Autism Spectrum Disorder (ASD) is
characterized by qualitative impairments that highly impact quality of
life. Bayesian theories in ASD frame an understanding of underlying
mechanisms suggesting atypicalities in the evaluation of probabilistic
links within the perceptual environment of the affected individual. To
address these theories, the present study explores the applicability of
an innovative Bayesian framework on social visual perception in ASD and
demonstrates the use of gaze transitions between different parts of
social scenes. We applied advanced analyses with Bayesian Hidden Markov
Modeling (BHMM) to track gaze movements while presenting real-life
scenes to typically developing (TD) children and adolescents (N= 25) and
participants with ASD and Attention-Deficit/Hyperactivity Disorder
(ASD+ADHD,N= 15) and ASD without comorbidity (ASD,N= 12). Regions of
interest (ROIs) were generated by BHMM based both on spatial and
temporal gaze behavior. Social visual perception was compared between
groups using transition and fixation variables for social (faces,
bodies) and non-social ROIs. Transition variables between faces, namely
gaze transitions between faces and likelihood of linking faces, were
reduced in the ASD+ADHD compared to TD participants. Fixation count to
faces was also reduced in this group. The ASD group showed similar
performance to TD in the studied variables. There was no difference
between groups for non-social ROIs. Our study provides an innovative,
interpretable example of applying Bayesian theories of social visual
perception in ASD. BHMM analyses and gaze transitions have the potential
to reveal fundamental social perception components in ASD, contributing
thus to amelioration of social-skill interventions.
Συγγραφείς:
Ioannou, Chara
Seernani, Divya
Stefanou, Maria Elena and
Biscaldi-Schaefer, Monica
Tebartz Van Elst, Ludger
Fleischhaker,
Christian
Boccignone, Giuseppe
Klein, Christoph
Περιοδικό:
FRONTIERS IN PSYCHIATRY
Εκδότης:
Frontiers Media SA
Λέξεις-κλειδιά:
Bayesian theories; social perception; eye movements (EM); hidden Markov
models (HMM); advanced analysis; autism spectrum disorder (ASD)
DOI:
10.3389/fpsyt.2020.585149
