Exploring the multidimensional nature of repetitive and restricted behaviors and interests (RRBI) in autism: neuroanatomical correlates and clinical implications
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Published:2023-11-27
Issue:1
Volume:14
Page:
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ISSN:2040-2392
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Container-title:Molecular Autism
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language:en
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Short-container-title:Molecular Autism
Author:
Lefebvre Aline,Traut Nicolas,Pedoux Amandine,Maruani Anna,Beggiato Anita,Elmaleh Monique,Germanaud David,Amestoy Anouck,Ly-Le Moal Myriam,Chatham Christopher,Murtagh Lorraine,Bouvard Manuel,Alisson Marianne,Leboyer Marion,Bourgeron Thomas,Toro Roberto,Dumas Guillaume,Moreau Clara,Delorme Richard
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 and 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 and 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.
Funder
Assistance Publique - Hôpitaux de Paris Institut Pasteur Fondation FondaMental Roche Institute for Research and Translational Medicine INSERM Fondation de France Fondation à la Recherche Médicale Investissements d'Avenir program
Publisher
Springer Science and Business Media LLC
Subject
Psychiatry and Mental health,Developmental Biology,Developmental Neuroscience,Molecular Biology
Reference69 articles.
1. Antezana L, Factor RS, Condy EE, Strege MV, Scarpa A, Richey JA. Gender differences in restricted and repetitive behaviors and interests in youth with autism. Autism Res Off J Int Soc Autism Res. 2019;12(2):274–83. https://doi.org/10.1002/aur.2049. 2. Beggiato A, Peyre H, Maruani A, Scheid I, Rastam M, Amsellem F, Gillberg CI, Leboyer M, Bourgeron T, Gillberg C, Delorme R. Gender differences in autism spectrum disorders: divergence among specific core symptoms. Autism Res Off J Int Soc Autism Res. 2017;10(4):680–9. https://doi.org/10.1002/aur.1715. 3. Bellani M, Calderoni S, Muratori F, Brambilla P. Brain anatomy of autism spectrum disorders I. Focus on corpus callosum. Epidemiol Psychiatric Sci. 2013. https://doi.org/10.1017/S2045796013000139. 4. Bey AL, Wang X, Yan H, Kim N, Passman RL, Yang Y, Cao X, Towers AJ, Hulbert SW, Duffney LJ, Gaidis E, Rodriguiz RM, Wetsel WC, Yin HH, Jiang Y. Brain region-specific disruption of Shank3 in mice reveals a dissociation for cortical and striatal circuits in autism-related behaviors. Transl Psychiatry. 2018. https://doi.org/10.1038/s41398-018-0142-6. 5. Bischoff-Grethe A, Ozyurt IB, Busa E, Quinn BT, Fennema-Notestine C, Clark CP, Morris S, Bondi MW, Jernigan TL, Dale AM, Brown GG, Fischl B. A technique for the deidentification of structural brain MR images. Hum Brain Mapp. 2007;28(9):892–903. https://doi.org/10.1002/hbm.20312.
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