Putamen volume as a predictor of repetitive and restricted behaviors and interests related intensity in autism

Author:

Lefebvre Aline1,Traut Nicolas2,Pedoux Amandine3,Maruani Anna4,Beggiato Anita4,Elmaleh Monique5,Germanaud David3,Amestoy Anouck6,Moal Myriam Ly-Le7,Chatham Christopher8,Murtagh Lorraine8,Bouvard Manuel6,Alisson Marianne5,Leboyer Marion9,Bourgeron Thomas4,Toro Roberto2,Dumas Guillaume10,Moreau Clara4,Delorme Richard1

Affiliation:

1. Fondation Vallée, GHT Paris Sud

2. Institut Pasteur, Université Paris Cité, Unité de Neuroanatomie Appliquée et Théorique

3. Robert Debré Hospital, APHP

4. Institut Pasteur, UMR 3571 CNRS, University Paris Diderot

5. APHP, Robert-Debré Hospital

6. Charles Perrens Hospital

7. Institut Roche

8. Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd

9. Fondation FondaMental, French National Science Foundation

10. Université de Montreal, CHU Ste Justine Hospital

Abstract

Abstract Background. Repetitive and restricted behaviors and interests (RRBI) are core symptoms of autism with a complex entity and are commonly categorized into ‘motor-driven’ and ‘cognitively-driven’. RRBI symptomatology depends on the individual’s clinical environment limiting the understanding of RRBI physiology, particularly their associated neuroanatomical structures. The complex RRBI heterogeneity needs to explore the whole RRBI spectrum by integrating the clinical context (autistic individuals, their relatives and typical developing (TD) individuals). We hypothesized that different RRBI dimensions would emerge by exploring the whole spectrum of RRBI, and that these dimensions are associated with neuroanatomical signatures - involving cortical & subcortical areas. Method. A sample of 792 individuals composed of 267 autistic subjects, their 370 first-degree relatives and 155 TD individuals was enrolled in the study. We assessed the whole patterns of RRBI in each individual by using the Repetitive Behavior Scale-Revised and the Yale-Brown Obsessive Compulsive Scale. We estimated brain volumes using MRI scanner for a subsample of the subjects (n=152, 42 ASD, 89 relatives and 13 TD). We first investigated the dimensionality of RRBI by performing a principal component analysis on all items of these scales and included all the sampling population. We then explored the relationship between RRBI-derived factors with brain volumes using linear regression models. Results. We identified 3 main factors (with 30.3% of the RRBI cumulative variance): Factor 1 (FA1, 12.7%) reflected mainly the ‘motor-driven’ RRBI symptoms; Factor 2 and 3 (respectively 8.8% and 7.9%) gathered mainly Y-BOCS related items and represented the ‘cognitively-driven’ RRBI symptoms. These three factors were significantly associated with the right/left putamen volumes but with opposite effects: FA1 was negatively associated with an increased volume of the right/left putamen conversely to FA2 & FA3 (all uncorrected p<0.05). FA1 was negatively associated with the left amygdala (uncorrected p<0.05), and FA2 was positively associated with the left parietal structure (uncorrected p=0.001). Conclusion. Our results suggested 3 coherent RRBI dimensions involving the putamen commonly and other structures according to the RRBI dimension. The exploration of the putamen’s integrative role in RSBI needs to be strengthened in further studies.

Publisher

Research Square Platform LLC

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