Aging in autism: An ERP Study of Auditory Change Detection

Aging in autism: An ERP Study of Auditory Change Detection | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 4 June 2025 V1 Latest version Share on Aging in autism: An ERP Study of Auditory Change Detection Authors : Marine Bessé 0009-0007-6069-7523 , Shasha Morel-Kohlmeyer , Emmanuelle Houy-Durand , Philippe Prévost , Laurie Tuller , Badiâa Bouazzaoui , Laurence Taconnat , Julia Capdeville , Lucie Angel , and Marie Gomot [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.174903156.67470694/v1 273 views 145 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Autistic individuals are often thought to exhibit reduced tolerance for change, which may stem from atypicalities in sensory processing, particularly in the detection of environmental changes. Within the predictive coding framework, this intolerance may reflect altered generation and updating internal predictions in response to sensory input, leading to increased prediction errors. Mismatch Negativity and the P3a component, event-related potential markers of automatic auditory change detection and involuntary attention shifts, index these processes. While studied in autistic children and young adults, little is known about how these components evolve during aging, an important gap as 21 million autistic adults over 60 are expected by 2050. This study examined mismatch negativity and P3a responses in 43 autistic adults (aged 21–64) and 60 non-autistic adults (aged 20–69) using a passive auditory oddball paradigm with standard (1000 Hz) and deviant (1100 Hz; p = 0.15) tones. Electroencephalography recording revealed no significant differences between autistic and non-autistic individuals on mismatch negativity and P3a amplitude or latency. However, mismatch negativity amplitude decreased with age over frontal site, similarly across both groups. No age-related effects were found for mismatch negativity latency or P3a measures in either group. These findings suggest that, from adulthood onward, the neural mechanisms underlying automatic change detection and pre-attentional processes are similar in both autistic and non-autistic adults, and that their overall time course of aging appears comparable, supporting the parallel aging hypothesis. Nonetheless, future research should explore how these preserved neural responses relate to behavioral reactivity to change in autism. Supplementary Material File (manuscript.docx) Download 154.59 KB Information & Authors Information Version history V1 Version 1 04 June 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords aging autism change detection mismatch negativity p3a Authors Affiliations Marine Bessé 0009-0007-6069-7523 Université de Tours View all articles by this author Shasha Morel-Kohlmeyer Université de Tours View all articles by this author Emmanuelle Houy-Durand Université de Tours View all articles by this author Philippe Prévost Université de Tours View all articles by this author Laurie Tuller Université de Tours View all articles by this author Badiâa Bouazzaoui Université de Tours View all articles by this author Laurence Taconnat Université de Tours View all articles by this author Julia Capdeville Université de Tours View all articles by this author Lucie Angel Université de Tours View all articles by this author Marie Gomot [email protected] Universite de Tours View all articles by this author Metrics & Citations Metrics Article Usage 273 views 145 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Marine Bessé, Shasha Morel-Kohlmeyer, Emmanuelle Houy-Durand, et al. Aging in autism: An ERP Study of Auditory Change Detection. Authorea . 04 June 2025. DOI: https://doi.org/10.22541/au.174903156.67470694/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! 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