Des amorces filtrées en hautes fréquences spatiales accélèrent la catégorisation des visages heureux chez les adultes autistes

Titre original en anglais : High spatial frequency filtered primes hastens happy faces categorization in autistic adults

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Lacroix, A., Nalborczyk, L., Dutheil, F., Kovarski, K., Chokron, S., Garrido, M., Gomot, M., & Mermillod, M. (2021). High spatial frequency filtered primes hastens happy faces categorization in autistic adults. Brain and Cognition, 155, 105811. https://doi.org/10.1016/j.bandc.2021.105811

Date de publication: 29/10/2021 Ajout dans AutiHub: 09/08/2026 Type: Article Langue de l’article: Anglais
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Auteurs

Auteur·ices des publications
8
Auteur·ices de la publication identifié·es comme autistes
1 / 8 (12,5 %)
  1. Adeline Lacroix *
  2. Ladislas Nalborczyk
  3. Frédéric Dutheil
  4. Klara Kovarski
  1. Sylvie Chokron
  2. Marta Garrido
  3. Marie Gomot
  4. Martial Mermillod

Résumé

Les informations grossières d'un stimulus visuel sont transmises par les basses fréquences spatiales (LSF) et seraient rapidement extraites afin de générer des prédictions. Cela peut guider une reconnaissance rapide grâce à l'intégration ultérieure d'informations fines, transmises par les hautes fréquences spatiales (HSF). Dans l'autisme, la reconnaissance des visages émotionnels est difficile et pourrait être liée à des altérations des processus prédictifs des LSF. Nous avons analysé les données de 27 adultes autistes et de 34 adultes non autistes (NA) dans une tâche de Stroop émotionnel (c'est-à-dire un visage émotionnel avec un mot émotionnel congruent ou incongruent) comportant des amorces filtrées spatialement (HSF contre LSF). Nous avons émis l'hypothèse que les amorces LSF généreraient des prédictions conduisant à une catégorisation plus rapide du visage cible que les amorces HSF, dans le groupe NA mais pas dans l'autisme. De manière surprenante, les amorces HSF ont conduit à une catégorisation plus rapide que les amorces LSF dans les deux groupes. De plus, l'avantage des amorces HSF par rapport aux amorces LSF était plus marqué pour les visages en colère que pour les visages heureux chez les NA, mais était plus marqué pour les visages heureux que pour les visages en colère chez les participants autistes. La modélisation par diffusion avec dérive a confirmé l'avantage des HSF et a montré un temps hors décision plus long (par exemple, l'encodage) dans l'autisme. Bien que les déficiences prédictives des LSF dans l'autisme n'aient pas été corroborées, nos analyses suggèrent des particularités du traitement de bas niveau dans l'autisme.

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.

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Références citées
137
Nombre total de références citées intégrées pour cette publication.
Références citées avec un·e auteur·ice identifié·e comme autiste
3 / 137 (2,2 %)
Occurrences d’auteur·ices cité·es identifié·es comme autistes
5 / 467 (1,1 %)
Parmi les occurrences rattachées à des auteurices intégré·es à la base de données AutiHub : 5 / 72 (6,9 %). Auteurices cité·es distinct·es identifié·es comme autistes : 4 / 417 (1,0 %).
Occurrences citées rattachées à la base AutiHub
72 / 467 (15,4 %)
Auteurices cité·es distinct·es rattaché·es : 51 / 417 (12,2 %)
Occurrences rattachées, non identifiées comme autistes
67 / 72 (93,1 %)
Parmi les seules occurrences rattachées. Sur l’ensemble des occurrences d’auteurices cité·es : 67 / 467 (14,3 %). Auteurices cité·es distinct·es rattaché·es, non identifié·es comme autistes : 47 / 51 (92,2 %).
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