Sensory processing disorder: Key points of a frequent alteration in neurodevelopmental disorders

Galiana-Simal, Adrián; Vela-Romero, Maria; Romero-Vela, Victor Manuel; Oliver-Tercero, Nuria; García-Olmo, Virginia; Benito-Castellanos, Pedro Javier; Muñoz-Martínez, Victoria Eugenia; Beato-Fernández, Luís

doi:10.1080/2331205x.2020.1736829

Cited by 35 publications

(28 citation statements)

References 54 publications

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“…Sensory processing, or multisensory integration, occurs in specific areas of the brain as sensory input from the external environment is transformed into usable data, supporting our ability to act in the world (Bundy and Lane, 2019). Epidemiological studies estimate that 5-16% of children in the general population experience sensory processing patterns that impact their daily life (Ayres, 1971;Ahn et al, 2004;Dunn et al, 2016;Galiana-Simal et al, 2020;Mulligan et al, 2021). Using Dunn's Sensory Processing Framework (2014), sensory processing patterns can be characterized in four quadrants: (i) low registration, (ii) sensory seeking, (iii) sensory sensitivity, and (iv) sensory avoiding.…”

Section: Introductionmentioning

confidence: 99%

Characterizing Sleep Differences in Children With and Without Sensory Sensitivities

et al. 2022

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ObjectivesIndividuals register and react to daily sensory stimuli differently, which influences participation in occupations. Sleep is a foundational nightly occupation that impacts overall health and development in children. Emerging research suggests that certain sensory processing patterns, specifically sensory sensitivities, may have a negative impact on sleep health in children. In this study, we aimed to (i) characterize sleep in children with and without sensory sensitivities and (ii) examine the relationship between sensory processing patterns (using the Sensory Profile-2) and sleep using validated parent- and child-reported questionnaires. We hypothesized that children with sensory sensitivities will exhibit more difficulties with sleep.MethodsWe recruited 22 children (ages 6–10) with sensory sensitivities (SS) and 33 children without sensory sensitivities (NSS) to complete validated sleep and sensory processing questionnaires: the Children’s Sleep Habits Questionnaire (CSHQ), Sleep Self-Report (SSR), and Sensory Profile-2.ResultsChildren with SS had significantly more sleep behaviors reported by both parents (p < 0.001, g = 1.11) and children (p < 0.001, g = 1.17) compared to children with NSS. Specifically, children with SS had higher frequencies of sleep anxiety (p = 0.004, g = 0.79), bedtime resistance (p = 0.001, g = 0.83), and sleep onset delay (p = 0.003, g = 0.95). Spearman’s ρ correlations indicated significant positive correlations between parent- and child-reported sleep. Children with SS showed a larger association and greater variability between sleep and sensory processing compared to their peers. Significant positive correlations between parent-reported sleep behaviors and sensory sensitive and avoiding patterns were identified for both children with SS and NSS. Child-reported sleep behaviors were most strongly associated with sensitive and avoiding patterns for children with NSS and seeking patterns for children with SS.ConclusionWe present evidence that sleep is impacted for children with SS to a greater extent than children with NSS. We also identified that a child’s sensory processing pattern may be an important contributor to sleep problems in children with and without sensory sensitivities. Sleep concerns should be addressed within routine care for children with sensory sensitivities. Future studies will inform specific sleep intervention targets most salient for children with SS and other sensory processing patterns.

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Section: Introductionmentioning

confidence: 99%

Characterizing Sleep Differences in Children With and Without Sensory Sensitivities

et al. 2022

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“…Each NDCs uniquely affects how information is absorbed, processed, and communicated [37,5]. Our objective is to adapt LMs for the individual requirements of a select number NDCs in learning environments, focusing specifically on dyslexia, dyscalculia and Sensory Processing Disorder (SPD) (with prevalences of 10%, 6% and 5-15% respectively [11,45,15]). LM research is highly active in the Educational Data Mining (EDM) community.…”

Section: Introductionmentioning

confidence: 99%

Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models

Twomey¹,

McMullan²,

Elhalal³

et al. 2022

Preprint

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At present, the educational data mining community lacks many tools needed for ensuring equitable ability estimation for Neurodivergent (ND) learners. On one hand, most learner models are susceptible to under-estimating ND ability since confounding contexts cannot be held accountable (e.g. consider dyslexia and text-heavy assessments), and on the other, few (if any) existing datasets are suited for appraising model and data bias in ND contexts. In this paper we attempt to model the relationships between context (delivery and response types) and performance of ND students with zero-inflated learner models. This approach facilitates simulation of several expected ND behavioural traits, provides equitable ability estimates across all student groups from generated datasets, increases interpretability confidence, and can double the number of learning opportunities for ND students in some cases. Our approach consistently out-performs baselines in our experiments and can also be applied to many other learner modelling frameworks.

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“…Based on a review of epidemiological studies, prevalence estimates of iSPD ranges from 5 to 16% of children in the general population, while 60–90% of children with coexisting neurodevelopmental conditions such as autism spectrum disorder (ASD) have been estimated to have sensory problems ( Ahn et al, 2004 ; Ben-Sasson et al, 2009 ; James et al, 2011 ; Galiana-Simal et al, 2020 ; Jussila et al, 2020 ). Mulligan et al (2019) examined the psychometrics of a new measure of sensory processing and reported that 20% of the children in their sample had a co-occurring disorder while the remaining 80% had not been diagnosed with another neurodevelopmental disorder.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Idiopathic Sensory Processing Disorder in Young Children

Mulligan

Douglas

Armstrong

2021

Front. Integr. Neurosci.

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This study described the developmental and behavioral characteristics of children identified with idiopathic sensory processing disorder (SPD) as well as the relations among specific types of SPD as proposed by the nosology presented by Miller et al. (2007), adaptive behavior profiles, and behaviors associated with mental functioning. A retrospective, non-experimental design applying descriptive and correlational analyses was used. Data were obtained from clinic medical records of 78 children ages 2 to 7 years who were identified with sensory processing problems affecting daily life, but who did not meet criteria for any other neurodevelopmental or mental disorders following a comprehensive diagnostic evaluation. Results revealed that all SPD types as described by current typologies were well represented with the most common being the over-responsivity sensory modulation subtype. Within the sample, 53% of the children displayed more than one SPD type. Atypical externalizing and internalizing behavior scores associated with various mental disorders as measured by the child behavior checklist (CBCL) fell in the borderline dysfunctional range. Adaptive behavior for all developmental domains was below average, and the severity of SPD symptoms moderately and positively correlated with behaviors associated with mental disorders, and with lower adaptive behavior performance. It was concluded that symptoms characteristic of the various types of idiopathic SPD overlap substantially suggesting that current typologies may include more types/subtypes than are necessary or clinically useful. Children with SPD share similar, but often less severe pathological behaviors associated with other mental or related neurodevelopmental disorders. Psychometrically sound measures of SPD are needed, and further study of the neural mechanisms involved in sensory processing deficits is vital for validating idiopathic SPD as its own diagnostic entity.

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Sensory processing disorder: Key points of a frequent alteration in neurodevelopmental disorders

Cited by 35 publications

References 54 publications

Characterizing Sleep Differences in Children With and Without Sensory Sensitivities

Characterizing Sleep Differences in Children With and Without Sensory Sensitivities

Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models

Characteristics of Idiopathic Sensory Processing Disorder in Young Children

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