Psychotropic Medications for Sleep Disorders in Autism Spectrum Disorders

Rossignol, Daniel A.; Frye, Richard E.

doi:10.1007/978-3-030-88538-0_53

Cited by 5 publications

(4 citation statements)

References 157 publications

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“…Ratings were converted into an ordinal scale ranging from 1 to 7 for analysis: substantial negative effect (1), a moderate negative effect (2), a mild negative effect (3), no effect (4), a mild positive effect (5), a moderate positive effect (6), and a substantial positive effect (7). Although the response scale was ordinal, the response distribution was found to be normally distributed, thus allowing the use of parametric analyses for treatment ratings.…”

Section: Discussionmentioning

confidence: 99%

“…For example, poor sleep maintenance was associated with increased seizure severity. Sleep is an important comorbidity to address as an improvement in sleep can improve behavior [6] and quality of life for the whole family [47] as well as improve seizure control [48]. This may be particularly important in ASD as sleep problems are more common in ASD as compared to children with other developmental delays and typically developing children [49].…”

Section: Identifying Patient Comorbidities Could Aid Treatmentmentioning

confidence: 99%

“…A recent retrospective analysis of medical claims data suggests that a subgroup of about 24% of children with ASD have an unusually high number of comorbid conditions [2], while other studies report an average of 4-5 comorbidities per child [3]. Comorbidities are wide ranging and include intellectual disability, sensory sensitivity, immune problems such as allergic rhinitis [4], gastrointestinal (GI) abnormalities [5] such as irritable bowel syndrome [4], sleep problems [6], psychiatric conditions such as attention deficit hyperactivity disorder [7] and anxiety [8], and neurological conditions such as seizures and epilepsy [9].…”

Section: Introductionmentioning

confidence: 99%

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Age-Related Changes in Epilepsy Characteristics and Response to Antiepileptic Treatment in Autism Spectrum Disorders

Gundogdu,

Gaitanis,

Adams

et al. 2023

JPM

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Despite the high prevalence of epilepsy in individuals with autism spectrum disorder (ASD), there is little information regarding whether seizure characteristics and treatment effectiveness change across age. Using an online survey, seizure characteristics, effectiveness of antiepileptic treatments, comorbidities, potential etiologies, and ASD diagnosis were collected from individuals with ASD and seizures. We previously reported overall general patterns of treatment effectiveness but did not examine the effect of seizure characteristics or age on antiepileptic treatment effectiveness. Such information would improve the personalized medicine approach to the treatment of seizures in ASD. Survey data from 570 individuals with ASD and clinical seizures were analyzed. Seizure severity (seizure/week) decreased with age of onset of seizures, plateauing in adolescence, with a greater reduction in generalized tonic–clonic (GTC) seizures with age. Seizure severity was worse in those with genetic disorders, neurodevelopmental regression (NDR) and poor sleep maintenance. Carbamazepine and oxcarbazepine were reported to be more effective when seizures started in later childhood, while surgery and the Atkins/modified Atkins Diet (A/MAD) were reported to be more effective when seizures started early in life. A/MAD and the ketogenic diet were reported to be more effective in those with NDR. Interestingly, atypical Landau–Kleffner syndrome was associated with mitochondrial dysfunction and NDR, suggesting a novel syndrome. These interesting findings need to be verified in independent, prospectively collected cohorts, but nonetheless, these data provide insights into novel relationships that may assist in a better understanding of epilepsy in ASD and provide insight into personalizing epilepsy care in ASD.

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Section: Discussionmentioning

confidence: 99%

Section: Identifying Patient Comorbidities Could Aid Treatmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Age-Related Changes in Epilepsy Characteristics and Response to Antiepileptic Treatment in Autism Spectrum Disorders

Gundogdu,

Gaitanis,

Adams

et al. 2023

JPM

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“…One study suggested that the combination of melatonin and CoQ 10 improves fatty acid metabolism in an animal model of ASD [ 219 ]. A recent meta-analysis and systematic review suggest CoQ 10 may have a role in improving sleep for children with ASD [ 220 ].…”

Section: Other Cofactorsmentioning

confidence: 99%

The Rationale for Vitamin, Mineral, and Cofactor Treatment in the Precision Medical Care of Autism Spectrum Disorder

Indika

Frye²,

Rossignol³

et al. 2023

JPM

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Children with autism spectrum disorder may exhibit nutritional deficiencies due to reduced intake, genetic variants, autoantibodies interfering with vitamin transport, and the accumulation of toxic compounds that consume vitamins. Importantly, vitamins and metal ions are essential for several metabolic pathways and for neurotransmitter functioning. The therapeutic benefits of supplementing vitamins, minerals (Zinc, Magnesium, Molybdenum, and Selenium), and other cofactors (coenzyme Q10, alpha-lipoic acid, and tetrahydrobiopterin) are mediated through their cofactor as well as non-cofactor functions. Interestingly, some vitamins can be safely administered at levels far above the dose typically used to correct the deficiency and exert effects beyond their functional role as enzyme cofactors. Moreover, the interrelationships between these nutrients can be leveraged to obtain synergistic effects using combinations. The present review discusses the current evidence for using vitamins, minerals, and cofactors in autism spectrum disorder, the rationale behind their use, and the prospects for future use.

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Novel Framework for Autism Spectrum Disorder Identification and Tailored Education With Effective Data Mining and Ensemble Learning Techniques

Hajjej,

Ayouni,

Alohali

et al. 2024

IEEE Access

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Autism Spectrum Disorder (ASD) is a neurological condition that significantly affects cognitive abilities, language comprehension, object recognition, interpersonal skills, and communication capabilities. Its primary origin is genetic, and early detection and intervention can mitigate the need for costly medical procedures and lengthy examinations for individuals affected by ASD. An effective teaching approach may be challenging to determine for a child with autism. Autism Spectrum Disorder is highly diverse, with each affected child being unique. It is often stated that no two autistic children are alike, meaning that what benefits one child may not be suitable for another. Two ASD screening datasets of toddlers are merged in this study. The SMOTE method to balance the dataset, followed by feature selection methods. The research introduces a two-phase system: the first phase employs various machine learning models, including an ensemble of random forest and XGBoost classifiers, for accurate ASD identification. In the second phase, the study focuses on identifying appropriate teaching methods for children with ASD by evaluating their physical, verbal, and behavioural performance. This research aims to provide personalized educational approaches for individuals with ASD, harnessing machine learning to enhance precision in addressing their unique needs.

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Psychotropic Medications for Sleep Disorders in Autism Spectrum Disorders

Cited by 5 publications

References 157 publications

Age-Related Changes in Epilepsy Characteristics and Response to Antiepileptic Treatment in Autism Spectrum Disorders

Age-Related Changes in Epilepsy Characteristics and Response to Antiepileptic Treatment in Autism Spectrum Disorders

The Rationale for Vitamin, Mineral, and Cofactor Treatment in the Precision Medical Care of Autism Spectrum Disorder

Novel Framework for Autism Spectrum Disorder Identification and Tailored Education With Effective Data Mining and Ensemble Learning Techniques

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