High spatial frequency filtered primes hastens happy faces categorization in autistic adults

•Autistic and non autistic (NA) adults performed an emotional stroop task.•High Spatial Frequencies (HSF) led to faster emotion categorization.•HSF advantage was stronger for anger in NA and for happiness in autism.•Drift diffusion modelling suggests longer non decision processes in autism than NA....

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Vydané v:Brain and cognition Ročník 155; s. 105811
Hlavní autori: Lacroix, Adeline, Nalborczyk, Ladislas, Dutheil, Frédéric, Kovarski, Klara, Chokron, Sylvie, Garrido, Marta, Gomot, Marie, Mermillod, Martial
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Elsevier Inc 01.12.2021
Elsevier Science
Elsevier
Predmet:
Adult
Autism
Autistic Disorder
Cognitive science
Drift diffusion model
Emotional stroop
Emotions
Face
Facial Recognition
Frequency dependence
Happiness
Humans
Pattern recognition
Pattern Recognition, Visual
Photic Stimulation
Priming
Recognition, Psychology
Spatial frequencies
Visual perception
Visual stimuli
Autism
Drift diffusion model
Priming
Emotional stroop
Visual perception
Spatial frequencies
ISSN:0278-2626, 1090-2147, 1090-2147
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Shrnutí:•Autistic and non autistic (NA) adults performed an emotional stroop task.•High Spatial Frequencies (HSF) led to faster emotion categorization.•HSF advantage was stronger for anger in NA and for happiness in autism.•Drift diffusion modelling suggests longer non decision processes in autism than NA. Coarse information of a visual stimulus is conveyed by Low Spatial Frequencies (LSF) and is thought to be rapidly extracted to generate predictions. This may guide fast recognition with the subsequent integration of fine information, conveyed by High Spatial Frequencies (HSF). In autism, emotional face recognition is challenging, and might be related to alterations in LSF predictive processes. We analyzed the data of 27 autistic and 34 non autistic (NA) adults on an emotional Stroop task (i.e., emotional face with congruent or incongruent emotional word) with spatially filtered primes (HSF vs.LSF). We hypothesized that LSF primes would generate predictions leading to faster categorization of the target face compared to HSF primes, in the NA group but not in autism. Surprisingly, HSF primes led to faster categorization than LSF primes in both groups. Moreover, the advantage of HSF vs.LSF primes was stronger for angry than happy faces in NA, but was stronger for happy than angry faces in autistic participants. Drift diffusion modelling confirmed HSF advantage and showed a longer non-decision time (e.g., encoding) in autism. Despite LSF predictive impairments in autism was not corroborated, our analyses suggest low level processing specificities in autism.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0278-2626
1090-2147
1090-2147
DOI:10.1016/j.bandc.2021.105811