A strategic plan to identify key neurophysiological mechanisms and brain circuits in autism

Bonnet‐Brilhault, Frédérique; Tuller, Laurice; Pelletier, Philippe; Malvy, Joëlle; Zebib, Racha; Ferré, Sandrine; Santos, Christophe dos; Roux, Sylvie; Houy‐Durand, Emmanuelle; Magné, Rémy; Mofid, Yassine; Latinus, Marianne; Wardak, Claire; Aguillon‐Hernandez, Nadia; Batty, Magali; Gomot, Marie

doi:10.1016/j.jchemneu.2017.11.007

Cited by 8 publications

(6 citation statements)

References 46 publications

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“…Results of factor-analytic studies suggest that lowerorder repetitive motor behaviors (e.g., motor stereotypies, lining up toys) are somewhat separate and distinct from higher-order response patterns alternatively called "insistence on sameness" or "resistance to change" (e.g., emotional outbursts in response to minor changes in routines; eating the same few foods at every meal; Bishop et al, 2013;Carcani-Rathwell, Rabe-Hasketh, & Santosh, 2006;Cuccaro et al, 2003;Richler, Bishop, Kleinke, & Lord, 2007;Shuster, Perry, Bebko, & Toplak, 2014;Turner, 1999). Researchers are beginning to study the underlying brain processes that may contribute to the symptoms of resistance to change (Bonnet-Brilhault et al, 2018;Gomot et al, 2006;Gomot & Wicker, 2012), and these studies suggest that children with ASD detect and process changes in environmental stimuli in an atypical manner.…”

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confidence: 99%

Treatment of resistance to change in children with autism

Fisher

Felber

Phillips

et al. 2019

J of App Behav Analysis

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“Resistance to change” represents a core symptom of autism that we conceptualized and assessed as resulting in part due to factors known to govern free‐operant choice. During a free‐choice baseline, participants chose between problematic, resistive responses and an appropriate alternative response. During the asymmetrical‐choice condition, we delivered their most highly preferred item if the participant chose the alternative response (i.e., differential reinforcement of alternative behavior [DRA]). During the guided‐ (Experiment 1) and singular‐ (Experiment 2) choice conditions, we prompted participants to choose the alternative response and then delivered their most highly preferred item (i.e., DRA with escape extinction). All participants learned to tolerate (Experiment 1) or choose (Experiment 2) the alternative response when we combined DRA with escape extinction. After exposure to escape extinction, two participants showed strong maintenance effects with DRA alone. We discuss these finding relative to the effects of DRA and escape extinction on resistance to change.

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mentioning

confidence: 99%

Treatment of resistance to change in children with autism

Fisher

Felber

Phillips

et al. 2019

J of App Behav Analysis

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“…If this is the case, then delayed language emergence may not be directly linked to joint attention deficiency. One possibility is that some autistic children may show slow language growth as a result of difficulties integrating speech sounds and mouth movements (Kissine et al 2021 ), as part of early atypical sensory perception, in all modalities, which may lead to later atypical cognitive profiles (Bonnet-Brilhault et al 2017 ).…”

Section: Language Trajectoriesmentioning

confidence: 99%

“…Atypical sensory processing of both social (Ben-Sasson et al 2007 ) and nonsocial (Williams et al 2021 ) stimulations has been reported in the early years, as well as atypical audio-visual integration, as seen above (Kissine et al 2021 ). Aberrancies in sensory processing circuits during early development may lead to a cascade of cognitive and social deficits, including atypical neural specialization for speech and processing of speech, which may impede language acquisition and communication skills (Bonnet-Brilhault et al 2017 ).…”

Section: Language Trajectoriesmentioning

confidence: 99%

Language in autism: domains, profiles and co-occurring conditions

et al. 2023

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This article reviews the current knowledge state on pragmatic and structural language abilities in autism and their potential relation to extralinguistic abilities and autistic traits. The focus is on questions regarding autism language profiles with varying degrees of (selective) impairment and with respect to potential comorbidity of autism and language impairment: Is language impairment in autism the co-occurrence of two distinct conditions (comorbidity), a consequence of autism itself (no comorbidity), or one possible combination from a series of neurodevelopmental properties (dimensional approach)? As for language profiles in autism, three main groups are identified, namely, (i) verbal autistic individuals without structural language impairment, (ii) verbal autistic individuals with structural language impairment, and (iii) minimally verbal autistic individuals. However, this tripartite distinction hides enormous linguistic heterogeneity. Regarding the nature of language impairment in autism, there is currently no model of how language difficulties may interact with autism characteristics and with various extralinguistic cognitive abilities. Building such a model requires carefully designed explorations that address specific aspects of language and extralinguistic cognition. This should lead to a fundamental increase in our understanding of language impairment in autism, thereby paving the way for a substantial contribution to the question of how to best characterize neurodevelopmental disorders.

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“…Socio-emotional impairments affect both the production and perception of social signal. To this day, there is no reliable biomarker of ASD, and diagnostic is based on a pluri-disciplinary clinical assessment of the child [ 3 ]. Finding a more objective and automated marker of ASD could help in the diagnosis of ASD making it simpler and more reliable [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Voice acoustics allow classifying autism spectrum disorder with high accuracy

et al. 2023

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Early identification of children on the autism spectrum is crucial for early intervention with long-term positive effects on symptoms and skills. The need for improved objective autism detection tools is emphasized by the poor diagnostic power in current tools. Here, we aim to evaluate the classification performance of acoustic features of the voice in children with autism spectrum disorder (ASD) with respect to a heterogeneous control group (composed of neurotypical children, children with Developmental Language Disorder [DLD] and children with sensorineural hearing loss with Cochlear Implant [CI]). This retrospective diagnostic study was conducted at the Child Psychiatry Unit of Tours University Hospital (France). A total of 108 children, including 38 diagnosed with ASD (8.5 ± 0.25 years), 24 typically developing (TD; 8.2 ± 0.32 years) and 46 children with atypical development (DLD and CI; 7.9 ± 0.36 years) were enrolled in our studies. The acoustic properties of speech samples produced by children in the context of a nonword repetition task were measured. We used a Monte Carlo cross-validation with an ROC (Receiving Operator Characteristic) supervised k-Means clustering algorithm to develop a classification model that can differentially classify a child with an unknown disorder. We showed that voice acoustics classified autism diagnosis with an overall accuracy of 91% [CI95%, 90.40%-91.65%] against TD children, and of 85% [CI95%, 84.5%–86.6%] against an heterogenous group of non-autistic children. Accuracy reported here with multivariate analysis combined with Monte Carlo cross-validation is higher than in previous studies. Our findings demonstrate that easy-to-measure voice acoustic parameters could be used as a diagnostic aid tool, specific to ASD.

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A strategic plan to identify key neurophysiological mechanisms and brain circuits in autism

Cited by 8 publications

References 46 publications

Treatment of resistance to change in children with autism

Treatment of resistance to change in children with autism

Language in autism: domains, profiles and co-occurring conditions

Voice acoustics allow classifying autism spectrum disorder with high accuracy

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