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Adeline Lacroix

Adeline Lacroix


PhD Student

LPNC - CNRS UMR5105 / UGA / USMB BSHM - Bureau E 121 1251 avenue Centrale CS40700 38058 GRENOBLE Cedex 09

Tél. : 04 76 82 55 57

adeline.lacroix@univ-grenoble-alpes.fr

Advisors

  • Pr. Martial Mermillod (Grenoble-Alpes University, France)
  • Dr. Marie Gomot (Tours University, France)
  • Pr. Frédéric Dutheil (Clermont-Auvergne University, France)

Reasearch Interests

  • Thesis subject : The predictive brain framework to understand and help people with autism spectrum conditions.

Abstract : Many theoretical frameworks have tried to explain autism characteristics but have failed to unify all symptoms (Sapey- Triomphe, 2017). However, predictive coding could be a new framework with which to understand the autism phenotype, i.e. social impairments, restrictive and stereotyped interests as well as sensory specificities, but also the variability which exists from one individual to another (Gomot & Wicker, 2012 ; Sinha et al., 2014 ; Van de Cruys et al., 2014). This framework postulates an imbalance in weights allowed to bottom-up (from perception to cognition) versus top-down processes during perception in autistic people. The Bar model (2007) showed that low spatial frequencies (LSF) of images are extracted very quickly and projected onto the orbitofrontal cortex, where they enable prediction (top-down process) on what is perceived (included prediction on facial expression). In autism spectrum disorder, there is, on one hand, impairment in facial emotion recognition (Uljarevic & Hamilton, 2013) and on the other hand, a local perceptual bias in vision (Mottron, Dawson, Soulières, Hubert, & Burack, 2006). Local information of a visual stimulus is carried by high spatial frequencies (HSF) ; on the contrary, global information is carried by low spatial frequencies. Some research has studied spatial frequencies utilization during face processing in autism and this population seems to use preferentially HFS (Deruelle, Rondan, Gepner, & Tardif, 2004). Despite these data, top-down prediction (guided by LFS and passing by the orbitofrontal cortex) have not been studied in autism spectrum disorders, except once, on object recognition, by Caplette, Wicker et Gosselin (2016). The aim of this thesis is to study predictive brain impairments in autistic people, and more specifically, to study LSF processing during facial emotion recognition, which is impaired in autism.

mots-clés : autism spectrum disorders,proactive brain,predictive coding,low spatial frequencies,top-down process

Conferences

Rynkiewicz, A., Garnett, M., Attwood, T., Brownlow, C., Baron-Cohen, S., Hadjikhani, N., Lassalle, A., Ormond, S.,, Pieniążek, A., Kalisz, K., Cazalis, F., Lacroix, A., & Łucka, I. (2017), Autism spectrum conditions (ASC) in females – clinical perspectives on diagnosis and new directions in assessment construct. XXIX National Conference of the Scientific Section of Polish Association of Child and Adolescent Psychiatry. 1st International Conference of Polish Child and Adolescent Psychiatry. Katowice, Poland, 01/01/2017.

Invited Talks

L’autisme au féminin. Etat des connaissances et perspectives d’accompagnement scolaire. Journée d’échanges sur les interventions éducatives en autisme, Ecole d’Etudes Sociales et Pédagogiques, Lausanne, Suisse. 23/05/2018

Education

  • 2017-2018 : Grenoble-Alpes University, M.Sc. Research in Clinical Neuropsychology and Neurosciences
  • 2016-2017 : Savoie Mont-Blanc University, Bachelor of Honor in Psychology
  • 2015-2016 : Paris 8 University, Bachelor in Psychology