Sleep in Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder

Singh, Kanwaljit; Zimmerman, Andrew W.

doi:10.1016/j.spen.2015.03.006

Cited by 105 publications

(79 citation statements)

References 133 publications

(106 reference statements)

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“…In this framework, Hollway and Aman's model inspired, inter alia, by the biopsychosocial model of sleep problems in ASD, supposes a bidirectional relationship between sleep problems and clinical characteristics of autism, in such a way that primary symptoms of autism, as well as medication intake and comorbidities (e.g. epilepsy, gastrointestinal problems, attention‐deficit/hyperactivity disorder), predispose insomnia, whereas poor sleep exacerbates autistic symptomatology by increasing internalizing and externalizing behaviours.…”

Section: Sleep‐related Clinical Characteristics Associated With Autismmentioning

confidence: 99%

Sleep–behaviour relationship in children with autism spectrum disorder: methodological pitfalls and insights from cognition and sensory processing

Deliens

Peigneux

2019

Develop Med Child Neuro

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Sleep disturbances are frequent and varied in autism spectrum disorder (ASD). Growing evidence suggests that sleep problems in children with ASD are driven by their clinical characteristics and psychiatric comorbidities. Therefore, the wide range of reported sleep disturbances reflects the marked heterogeneity of clinical pictures in ASD. Whether sleep disturbances and their various forms may, in turn, account for at least part of the phenotypical variability of ASD is a crucial question discussed in this review. We first outline studies both validating and challenging a bidirectional theoretical framework for sleep disorders in children with ASD. We then propose to extend this model by including cognition and sensory processing as key factors in the vicious circle linking sleep disorders and autistic symptoms. What this paper adds There is a bidirectional interplay between autism symptoms and sleep disturbances. Sleep influence on daytime cognitive and sensory skills should be further investigated.

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Section: Sleep‐related Clinical Characteristics Associated With Autismmentioning

confidence: 99%

Sleep–behaviour relationship in children with autism spectrum disorder: methodological pitfalls and insights from cognition and sensory processing

Deliens

Peigneux

2019

Develop Med Child Neuro

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“…In psychiatric disorders, sleep problems (especially reduced total sleep with insomnia, longer sleep latency, nocturnal and early morning awakenings) are highly prevalent symptoms. Insomnia is the most frequent sleep problem reported in psychiatric disorders [2]. In autism, a prevalence of insomnia from 50% to 80% has been reported [3,4,5,6] compared to 9–50% in age-matched typically developing children [7,8,9,10,11].…”

Section: Introduction: Circadian Rhythms and Their Molecular Mechamentioning

confidence: 99%

Clock Genes and Altered Sleep–Wake Rhythms: Their Role in the Development of Psychiatric Disorders

Charrier

Olliac

Roubertoux

et al. 2017

IJMS

140

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In mammals, the circadian clocks network (central and peripheral oscillators) controls circadian rhythms and orchestrates the expression of a range of downstream genes, allowing the organism to anticipate and adapt to environmental changes. Beyond their role in circadian rhythms, several studies have highlighted that circadian clock genes may have a more widespread physiological effect on cognition, mood, and reward-related behaviors. Furthermore, single nucleotide polymorphisms in core circadian clock genes have been associated with psychiatric disorders (such as autism spectrum disorder, schizophrenia, anxiety disorders, major depressive disorder, bipolar disorder, and attention deficit hyperactivity disorder). However, the underlying mechanisms of these associations remain to be ascertained and the cause–effect relationships are not clearly established. The objective of this article is to clarify the role of clock genes and altered sleep–wake rhythms in the development of psychiatric disorders (sleep problems are often observed at early onset of psychiatric disorders). First, the molecular mechanisms of circadian rhythms are described. Then, the relationships between disrupted circadian rhythms, including sleep–wake rhythms, and psychiatric disorders are discussed. Further research may open interesting perspectives with promising avenues for early detection and therapeutic intervention in psychiatric disorders.

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“…Sleep disturbance is a diagnostic feature of BD not ADHD, and circadian dysregulation appears to be strongly linked to affective disorders (Teicher, 1995). However, there is a subset of individuals with ADHD who have sleep and circadian abnormalities (Arns & Kenemans, 2014;van der Heijden, Smits, van Someren, & Gunning, 2005;van der Heijden, Smits, van Someren, Ridderinkhof, & Gunning, 2007;Singh & Zimmerman, 2015). Nevertheless, individuals with ADHD and BD appear to differ in the frequency with which sleep and circadian abnormalities occur and in the nature of their expression.…”

Section: Introductionmentioning

confidence: 99%

Actigraph measures discriminate pediatric bipolar disorder from attention‐deficit/hyperactivity disorder and typically developing controls

Faedda

Ohashi

Hernandez³

et al. 2016

Child Psychology Psychiatry

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Background Distinguishing pediatric bipolar disorder (BD) from attention-deficit hyperactivity disorder (ADHD) can be challenging. Hyperactivity is a core feature of both disorders, but severely disturbed sleep and circadian dysregulation are more characteristic of BD, at least in adults. We tested the hypothesis that objective measures of activity, sleep and circadian rhythms would help differentiate pediatric subjects with BD from ADHD and typically developing controls. Methods Unmedicated youths (N=155, 97 males, age 5-18) were diagnosed using DSM-IV criteria with Kiddie-SADS PL/E. BD youths (n=48) were compared to typically developing controls (n=42) and children with ADHD (n=44) or ADHD plus comorbid depressive disorders (n=21). Three-to-five days of minute-to-minute belt-worn actigraph data (Ambulatory Monitoring Inc.), collected during the school week, were processed to yield 28 metrics per subject, and assessed for group differences with analysis of covariance. Cross-validated machine learning algorithms were used to determine the predictive accuracy of a four-parameter model, with measures reflecting sleep, hyperactivity and circadian dysregulation, plus Indic's bipolar vulnerability index (VI). Results There were prominent group differences in several activity measures, notably mean 5 lowest hours of activity, skewness of diurnal activity, relative circadian amplitude and VI. A predictive support vector machine model discriminated bipolar from non-bipolar with mean accuracy of 83.1±5.4%, ROC area of 0.781±0.071, kappa of 0.587±0.136, specificity of 91.7±5.3% and sensitivity of 64.4±13.6%. Conclusions Objective measures of sleep, circadian rhythmicity and hyperactivity were abnormal in BD. Wearable sensor technology may provide bio-behavioral markers that can help differentiate children with BD from ADHD and healthy controls.

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Sleep in Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder

Cited by 105 publications

References 133 publications

Sleep–behaviour relationship in children with autism spectrum disorder: methodological pitfalls and insights from cognition and sensory processing

Sleep–behaviour relationship in children with autism spectrum disorder: methodological pitfalls and insights from cognition and sensory processing

Clock Genes and Altered Sleep–Wake Rhythms: Their Role in the Development of Psychiatric Disorders

Actigraph measures discriminate pediatric bipolar disorder from attention‐deficit/hyperactivity disorder and typically developing controls

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