Lack of Effect of Risperidone on Core Autistic Symptoms: Data from a Longitudinal Study

Marrus, Natasha; Underwood-Riordan, Heather; Randall, Fellana; Zhang, Yi; Constantino, John N.

doi:10.1089/cap.2014.0055

Cited by 26 publications

(13 citation statements)

References 28 publications

(29 reference statements)

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“…Second, due to the cohort‐sequential design, no individual was studied from early childhood to adulthood. Third, the affected subjects were receiving a variety of forms of therapy, and although their trajectories could have been influenced by the interventions, their SRS scores still remained stable (see also Marrus, Underwood‐Riordan, Randall, Zhang, & Constantino, ). Finally, this prospective longitudinal study lacked statistical power to fully define specific trajectories of subgroups of subjects.…”

Section: Discussionmentioning

confidence: 99%

Autism‐Related Variation in Reciprocal Social Behavior: A Longitudinal Study

et al. 2018

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Deficits in reciprocal social behavior are a characterizing feature of autism spectrum disorder (ASD). Autism‐related variation in reciprocal social behavior (AVR) in the general population is continuously distributed and highly heritable—a function of additive genetic influences that overlap substantially with those which engender clinical autistic syndromes. This is the first long‐term prospective study of the stability of AVR from childhood through early adulthood, conducted via serial ratings using the Social Responsiveness Scale, in a cohort‐sequential study involving children with ASD, other psychiatric conditions, and their siblings ( N = 602, ages = 2.5–29). AVR exhibits marked stability throughout childhood in individuals with and without ASD.

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Section: Discussionmentioning

confidence: 99%

Autism‐Related Variation in Reciprocal Social Behavior: A Longitudinal Study

et al. 2018

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“…The use of the approved dopamine receptor antagonist (risperidone) is of questionable benefit for cognition in ASD, as its antagonistic effects at dopamine receptors may interfere with precision-weighting of prediction errors, and thus updating of priors, in high-level regions of the cognitive hierarchy such as prefrontal cortex ( 91 ), which are critical for the development of abstract representations. Indeed, empirical studies demonstrate that core symptoms of ASD do not benefit from this medication ( 147 ). Perhaps not surprisingly, this purely symptomatic approach is rarely subjectively experienced as helpful by patients.…”

Section: Potential Benefits For Future Clinical Practicementioning

confidence: 99%

Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice?

2016

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Diagnosis and individualized treatment of autism spectrum disorder (ASD) represent major problems for contemporary psychiatry. Tackling these problems requires guidance by a pathophysiological theory. In this paper, we consider recent theories that re-conceptualize ASD from a “Bayesian brain” perspective, which posit that the core abnormality of ASD resides in perceptual aberrations due to a disbalance in the precision of prediction errors (sensory noise) relative to the precision of predictions (prior beliefs). This results in percepts that are dominated by sensory inputs and less guided by top-down regularization and shifts the perceptual focus to detailed aspects of the environment with difficulties in extracting meaning. While these Bayesian theories have inspired ongoing empirical studies, their clinical implications have not yet been carved out. Here, we consider how this Bayesian perspective on disease mechanisms in ASD might contribute to improving clinical care for affected individuals. Specifically, we describe a computational strategy, based on generative (e.g., hierarchical Bayesian) models of behavioral and functional neuroimaging data, for establishing diagnostic tests. These tests could provide estimates of specific cognitive processes underlying ASD and delineate pathophysiological mechanisms with concrete treatment targets. Written with a clinical audience in mind, this article outlines how the development of computational diagnostics applicable to behavioral and functional neuroimaging data in routine clinical practice could not only fundamentally alter our concept of ASD but eventually also transform the clinical management of this disorder.

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“…Duku et al [] investigated measurement invariance of the factor structure of the SRS and found that the factors of the SRS were stable across occasions. Marrus et al [] conducted a 10‐year longitudinal study of risperidone use in children with ASD and found that the SRS was sensitive to detecting change over time. Hasegawa et al [] demonstrated that an increase in parental empathy level was associated with an improvement of autism symptoms as measured by SRS.…”

Section: Introductionmentioning

confidence: 99%

Validating the social responsiveness scale for adults with autism

et al. 2017

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Lay Abstract A diagnosis of autism spectrum disorder currently requires an individual to have symptoms in two core areas, i.e., difficulties in social communication, and a restricted, repetitive pattern of behavior and interests. A screening tool for autism should reflect these two diagnostic criteria in order to provide a valid way for assessing behaviors related to autism. However, since most autism measurement tools were developed for use with children and adolescents, we do not know as much about the applicability of the measurement tools to adults. The present study evaluated the validity of a commonly used measure for autism symptom severity (i.e., Social Responsiveness Scale, SRS). We examined the relationships between the SRS factors (which were consistent with two core symptom areas) and other measures related to autism in adulthood, using data from 237 adults with autism spectrum disorders. Findings showed that the SRS factors were predictive of autism symptoms and behavioral measures. Results also demonstrated that SRS factors were differentially related to measures specific to social or behavioral domains. These results highlighted the importance of taking the two core symptoms into account at the same time to enhance our understanding of autism symptomatology in adulthood. Scientific Abstract The Social Responsiveness Scale (SRS; Constantino & Gruber, 2005) is a widely-used measure of autism symptoms, but its application for the study of adults with autism spectrum disorders has not been fully evaluated. Using a factor structure consistent with DSM-V criteria for autism spectrum disorder (Frazier et al., 2014), the primary purpose of the current study was to establish the validity of the SRS with a sample of adults with autism spectrum disorder (N = 237). Correlational analyses indicated that SRS factors were highly associated with autism symptoms and behavioral measures, indicating concurrent and predictive validity. Multiple regression results demonstrated that SRS factors were differentially related to measures specific to social or behavioral domains, indicating convergent and discriminant validity. Implications for future research are discussed.

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Lack of Effect of Risperidone on Core Autistic Symptoms: Data from a Longitudinal Study

Cited by 26 publications

References 28 publications

Autism‐Related Variation in Reciprocal Social Behavior: A Longitudinal Study

Autism‐Related Variation in Reciprocal Social Behavior: A Longitudinal Study

Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice?

Validating the social responsiveness scale for adults with autism

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