Abnormal Pressure Pain, Touch Sensitivity, Proprioception, and Manual Dexterity in Children with Autism Spectrum Disorders

Riquelme, Inmaculada; Hatem, Samar; Montoya, Pedro

doi:10.1155/2016/1723401

Cited by 119 publications

(97 citation statements)

References 58 publications

(80 reference statements)

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“…With relation to autism, one might question whether or to what extent autistic individuals experience the same benefits and barriers to NSSI. Differences in the perception of pain [118][119][120][121][122] may suggest that physical pain is not aversive in the same way; similarly, one might query whether autistic individuals also possess a natural aversion to stimuli associated with NSSI, as studies of physiological response to "emotional stimuli" have found varied results [123]. In understanding autistic self-injury, it may be beneficial to adopt a similar transitional approach such as has been formulated in "ideation to action" [22] models of suicidality-a holistic overview from the risks and barriers that increase and decrease the likelihood of NSSI ever occurring, to the motivation for a first incident, and, from there, the sparking and maintenance of the engine which could build suicide capability.…”

Section: Limitations and Directions For Future Studymentioning

confidence: 99%

Links between self-injury and suicidality in autism

et al. 2020

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Background: Autistic individuals without intellectual disability are at heightened risk of self-injury, and appear to engage in it for similar reasons as non-autistic people. A wide divergence of autistic perspectives on self-injury, including those who frame it as a helpful coping mechanism, motivate investigating the link between self-injury, suicide ideation, and attempts which has been reported in typically developing individuals. Method: One hundred three autistic participants completed the Non-Suicidal Self-Injury Assessment Tool (NSSI-AT), the Suicide Behaviors Questionnaire (SBQ-R), and the Interpersonal Social Evaluation List (ISEL-12) across two online studies. Logistic regression was conducted to predict self-harming status via responses to questions on suicidality, and to predict whether certain self-injurious behaviors, including cutting, were especially associated with suicide ideation and attempts. Non-parametric correlation analysis examined relationships between suicide ideation/ attempts and other variables that might characterize self-harmers especially at risk of suicidality. These included perceived access to social support, purposes or reasons for self-injury, the number of different self-injurious behaviors engaged in, the duration and lifetime incidence of self-injury, and the individual's feelings about their self-injury. Results: While self-injuring status was significantly predicted by responses to a question on suicide ideation and attempts, there was no relationship between suicide ideation/attempts and a participant's personal feelings about their self-injury. The method of cutting was also predicted by suicide ideation and attempts, though other methods common in autistic people were at borderline significance. Use of self-injury for the regulation of low-energy emotional states like depression, for self-punishment or deterrence from suicide, and for sensory stimulation, was associated with suicide ideation and attempts, as was the number of self-injurious behaviors engaged in. There was no significant relationship between suicide ideation/attempts and the duration and lifetime incidence of self-injury or social support. Conclusions: These preliminary data suggest that while individuals might frame their self-injury as a positive or neutral thing, there remains a concerning relationship between self-injury and suicidality which exists regardless of individual feelings on self-injury. This is consistent with the theoretical perspective that self-injury can be a "gateway" through which individuals acquire capability for lethal suicidal behaviors. The data highlight that particular methods (cutting) and reasons for self-injury may be of significant concern, but this information, which might be of extreme value for clinicians, requires further investigation and validation.

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Section: Limitations and Directions For Future Studymentioning

confidence: 99%

Links between self-injury and suicidality in autism

et al. 2020

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“…In a recent study using quantitative sensory testing, researchers showed that high-functioning adolescent with ASD have decreased thermal sensitivity (increased warmth and cold detection threshold) and that their thermal detection thresholds and heat pain thresholds correlated with their intelligence quotients (Duerden et al, 2015). In another study, high functioning ASD children were shown to have increased pain (lower pressure pain thresholds) and touch sensitivities (Von Frey monofilaments) compared to healthy children(Riquelme et al, 2016). Studies using questionnaires to evaluate behavioral responses to sensory stimuli show that in ASD individuals, higher levels of tactile hypo-responsiveness and increased tactile seeking behaviors significantly correlated with increased social impairment and repetitive behaviors (Baker et al, 2008; Foss-Feig et al, 2012; Hilton et al, 2010).…”

Section: Introductionmentioning

confidence: 97%

Altered nocifensive behavior in animal models of autism spectrum disorder: The role of the nicotinic cholinergic system

et al. 2016

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Caretakers and clinicians alike have long recognized that individuals with autism spectrum disorder (ASD) can have altered sensory processing, which can contribute to its core symptoms. However, the pathobiology of sensory alterations in ASD is poorly understood. Here we examined nocifensive behavior in ASD mouse models, the BTBR T+Itpr3tf/J (BTBR) and the fragile-X mental retardation-1 knockout (Fmr1-KO) mice. We also examined the effects of nicotine on nocifensive behavior given that nicotine, a nicotinic cholinergic receptor (nAChR) agonist that has antinociceptive effects and was shown to improve social deficits and decrease repetitive behaviors in BTBR mice. Compared to respective controls, both BTBR and Fmr1-KO had hyporesponsiveness to noxious thermal stimuli and electrical stimulation of C-sensory fibers, normal responsiveness to electrical stimulation of Aβ- and Aδ-fiber, and hyperresponsiveness to visceral pain after acetic acid intraperitoneal injection. In BTBR, nicotine at lower doses increased, whereas at higher doses, it decreased hotplate latency compared to vehicle. In a significantly different effect pattern, in control mice, nicotine had antinociceptive effects to noxious heat only at the high dose. Interestingly, these nocifensive behavior alterations and differential responses to nicotine antinociceptive effects in BTBR mice were associated with significant downregulation of α3, α4, α5, α7, β2, β3, and β4 nAChR subunits in several cerebral regions both, during embryonic development and adulthood. Taken together, these findings further implicate nAChRs in behaviors alterations in the BTBR model and lend support to the hypothesis that nAChRs may be a target for treatment of behavior deficits and sensory dysfunction in ASD.

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“…Autism spectrum disorder (ASD) has been estimated to occur in more than 1.6% of children aged 8 across the United States [1]. As a chronic neurological condition, ASD is characterized by impairments in social interaction and communication, as well as by a restricted repertoire of activity and interests [2][3][4][5]. Patients with ASD exhibit different levels of impairments, ranging from above average to intellectual disability.…”

Section: Introductionmentioning

confidence: 99%

Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data

et al. 2020

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Autism spectrum disorder (ASD) is a developmental disorder that impacts more than 1.6% of children aged 8 across the United States. It is characterized by impairments in social interaction and communication, as well as by a restricted repertoire of activity and interests. The current standardized clinical diagnosis of ASD remains to be a subjective diagnosis, mainly relying on behavior-based tests. However, the diagnostic process for ASD is not only time consuming, but also costly, causing a tremendous financial burden for patients’ families. Therefore, automated diagnosis approaches have been an attractive solution for earlier identification of ASD. In this work, we set to develop a deep learning model for automated diagnosis of ASD. Specifically, a multichannel deep attention neural network (DANN) was proposed by integrating multiple layers of neural networks, attention mechanism, and feature fusion to capture the interrelationships in multimodality data. We evaluated the proposed multichannel DANN model on the Autism Brain Imaging Data Exchange (ABIDE) repository with 809 subjects (408 ASD patients and 401 typical development controls). Our model achieved a state-of-the-art accuracy of 0.732 on ASD classification by integrating three scales of brain functional connectomes and personal characteristic data, outperforming multiple peer machine learning models in a k-fold cross validation experiment. Additional k-fold and leave-one-site-out cross validation were conducted to test the generalizability and robustness of the proposed multichannel DANN model. The results show promise for deep learning models to aid the future automated clinical diagnosis of ASD.

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Abnormal Pressure Pain, Touch Sensitivity, Proprioception, and Manual Dexterity in Children with Autism Spectrum Disorders

Cited by 119 publications

References 58 publications

Links between self-injury and suicidality in autism

Links between self-injury and suicidality in autism

Altered nocifensive behavior in animal models of autism spectrum disorder: The role of the nicotinic cholinergic system

Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data

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