Emotion, Intent and Voluntary Movement in Children with Autism. An Example: The Goal Directed Locomotion

Longuet, S.; Ferrel-Chapus, Carole; Orêve, Marie-Joëlle; Chamot, Jean-Marc; Vernazza-Martin, Sylvie

doi:10.1007/s10803-011-1383-x

Cited by 12 publications

(12 citation statements)

References 46 publications

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“…Moreover, motor problems are currently reported as associated features supporting the diagnosis of ASD (American Psychiatric Association [APA], 2013). To date, impairments have been highlighted in various motor domains including both gross and fine motor areas, motor coordination, postural control and standing balance (Fournier et al, 2010; Esposito et al, 2011; Longuet et al, 2012; Travers et al, 2013; May et al, 2016). The high variance in findings may suggest a broad spectrum of motor impairments.…”

Section: Introductionmentioning

confidence: 99%

Motor Skills as Moderators of Core Symptoms in Autism Spectrum Disorders: Preliminary Data From an Exploratory Analysis With Artificial Neural Networks

Fulceri

Grossi²,

Contaldo

et al. 2019

Front. Psychol.

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Motor disturbances have been widely observed in children with autism spectrum disorder (ASD), and motor problems are currently reported as associated features supporting the diagnosis of ASD in the current Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Studies on this issue reported disturbances in different motor domains, including both gross and fine motor areas as well as coordination, postural control, and standing balance. However, they failed to clearly state whether motor impairments are related to demographical and developmental features of ASD. Both the different methodological approaches assessing motor skills and the heterogeneity in clinical features of participants analyzed have been implicated as contributors to variance in findings. However, the non-linearity of the relationships between variables may account for the inability of the traditional analysis to grasp the core problem suggesting that the “single symptom approach analysis” should be overcome. Artificial neural networks (ANNs) are computational adaptive systems inspired by the functioning processes of the human brain particularly adapted to solving non-linear problems. This study aimed to apply the ANNs to reveal the entire spectrum of the relationship between motor skills and clinical variables. Thirty-two male children with ASD [mean age: 48.5 months (SD: 8.8); age range: 30–60 months] were recruited in a tertiary care university hospital. A multidisciplinary comprehensive diagnostic evaluation was associated with a standardized assessment battery for motor skills, the Peabody Developmental Motor Scale-Second Edition. Exploratory analyses were performed through the ANNs. The findings revealed that poor motor skills were a common clinical feature of preschoolers with ASD, relating both to the high level of repetitive behaviors and to the low level of expressive language. Moreover, unobvious trends among motor, cognitive and social skills have been detected. In conclusion, motor abnormalities in preschoolers with ASD were widespread, and the degree of impairment may inform clinicians about the severity of ASD core symptoms. Understanding motor disturbances in children with ASD may be relevant to clarify neurobiological basis and ultimately to guide the development of tailored treatments.

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Section: Introductionmentioning

confidence: 99%

Motor Skills as Moderators of Core Symptoms in Autism Spectrum Disorders: Preliminary Data From an Exploratory Analysis With Artificial Neural Networks

Fulceri

Grossi²,

Contaldo

et al. 2019

Front. Psychol.

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“…4F ). This is reminiscent of the behavior of individuals with ASD, who take more time to initiate goal-directed actions and move more slowly during the initiation of those actions (Glazebrook et al, 2006; Longuet et al, 2012; Alvares et al, 2016). Further, individuals with ASD exhibit irregularities in audiovisual integration (Stevenson et al, 2014; Brandwein et al, 2015; Feldman et al, 2018), and the availability of multisensory information (auditory and visual) improves cricket hunting in wild type mice (Hoy et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Juvenile Shank3 KO mice adopt distinct hunting strategies during prey capture learning

Kuhnle

Grimes

Casanova

et al. 2022

Preprint

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Mice are opportunistic omnivores that readily learn to hunt and eat insects such as crickets. The details of how mice learn these behaviors and how these behaviors may differ in strains with altered neuroplasticity are unclear. We quantified the behavior of juvenile wild type and Shank3 knockout mice as they learned to hunt crickets during the critical period for ocular dominance plasticity. This stage involves heightened cortical plasticity including homeostatic synaptic scaling, which requires Shank3, a glutamatergic synaptic protein that, when mutated, produces Phelan-McDermid syndrome and is often comorbid with autism spectrum disorder (ASD). Both strains showed interest in examining live and dead crickets and learned to hunt. Shank 3 knockout mice took longer to become proficient, and, after 5 days, did not achieve the efficiency of wild type mice in either time-to-capture or distance-to-capture. Shank3 knockout mice also exhibited different characteristics when pursuing crickets that defied explanation as a simple motor deficit. Although both genotypes moved at the same average speed when approaching a cricket, Shank3 KO mice paused more often during approaches, did not begin final accelerations toward crickets as early, and did not close the distance gap to the cricket as quickly as wild type mice. These differences in Shank3 KO mice are reminiscent of some behavioral characteristics of individuals with ASD as they perform complex tasks, such as slower action initiation and completion. This paradigm will be useful for exploring the neural circuit mechanisms that underlie these learning and performance differences in monogenic ASD rodent models.

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“…Our FC analysis of a mouse model of ASD uncovered previously unknown impairment of cortical circuit function such as widespread hyperconnectivity, less modularized network during locomotion, and FC patterns involving M2 and M1 as the most distinctive signature for 15q dup mice. It has been reported that individuals with ASD exhibit motor coordination deficits and impairment of movement planning in goal-directed locomotion [10][11][12] . Although various factors could influence the locomotor activity of mice, reduced time spent for long locomotion in Emx1G615q dup mice might result from impaired motor planning and execution due to abnormal M2-related FC.…”

Section: Cortical Fc Abnormalities In 15q Dup Micementioning

confidence: 99%

VR-based real-time imaging reveals abnormal cortical dynamics during behavioral transitions in a mouse model of autism

Nakai

Sato

Yamashita

et al. 2022

Preprint

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Functional connectivity (FC) can provide insight into cortical circuit dysfunction in neuropsychiatric disorders. However, dynamic changes in FC related to locomotion with sensory feedback remain unexplored. To investigate FC dynamics in locomoting mice, we developed mesoscopic Ca2+ imaging with a virtual reality (VR) environment. We find rapid reorganization of cortical FC in response to changing behavioral states. Using machine learning classification, behavioral states are accurately decoded. We then use our VR-based imaging system to study cortical FC in a mouse model of autism and find that locomotion states are associated with altered FC dynamics. Furthermore, we identify FC patterns involving the motor area as the most distinguishing features of the autism mice from wild-type mice during behavioral transitions, which might correlate with motor clumsiness in patients with autism. Our VR-based real-time imaging system provides invaluable information to understand FC dynamics linked to a behavioral abnormality of neuropsychiatric disorders.

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Emotion, Intent and Voluntary Movement in Children with Autism. An Example: The Goal Directed Locomotion

Cited by 12 publications

References 46 publications

Motor Skills as Moderators of Core Symptoms in Autism Spectrum Disorders: Preliminary Data From an Exploratory Analysis With Artificial Neural Networks

Motor Skills as Moderators of Core Symptoms in Autism Spectrum Disorders: Preliminary Data From an Exploratory Analysis With Artificial Neural Networks

Juvenile Shank3 KO mice adopt distinct hunting strategies during prey capture learning

VR-based real-time imaging reveals abnormal cortical dynamics during behavioral transitions in a mouse model of autism

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