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Actigraphic investigation of circadian rhythm functioning and activity levels in children with mucopolysaccharidosis type III (Sanfilippo syndrome) / R. A. MUMFORD in Journal of Neurodevelopmental Disorders, 7-1 (December 2015)
[article]
Titre : Actigraphic investigation of circadian rhythm functioning and activity levels in children with mucopolysaccharidosis type III (Sanfilippo syndrome) Type de document : Texte imprimé et/ou numérique Auteurs : R. A. MUMFORD, Auteur ; L. V. MAHON, Auteur ; S. JONES, Auteur ; B. BIGGER, Auteur ; M. CANAL, Auteur ; D. J. HARE, Auteur Article en page(s) : p.31 Langues : Anglais (eng) Mots-clés : Actigraphy Circadian rhythms Mucopolysaccharidosis type III Sanfilippo Sleep Index. décimale : PER Périodiques Résumé : BACKGROUND: Sleep disturbance is part of the behavioural phenotype of the rare genetic condition mucopolysaccharidosis (MPS) type III. A growing body of evidence suggests that underlying disturbance in circadian rhythm functioning may explain sleep problems within the MPS III population. METHODS: Actigraphic data were recorded in eight children with MPS III over 7-10 days and compared to age-matched typically developing controls. Parameters of circadian rhythmicity and activity levels across a 24-h period were analysed. RESULTS: Statistically and clinically significant differences between the two groups were noted. Analysis indicated that children with MPS III showed significantly increased fragmentation of circadian rhythm and reduced stability with external cues (zeitgebers), compared to controls. Average times of activity onset and offset were indicative of a phase delayed sleep-wake cycle for some children in the MPS III group. Children with MPS III had significantly higher activity levels during the early morning hours (midnight-6 am) compared to controls. CONCLUSIONS: Results are consistent with previous research into MPS III and suggest that there is an impairment in circadian rhythm functioning in children with this condition. Implications for clinical practice and the management of sleep difficulties are discussed. En ligne : http://dx.doi.org/10.1186/s11689-015-9126-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=348
in Journal of Neurodevelopmental Disorders > 7-1 (December 2015) . - p.31[article] Actigraphic investigation of circadian rhythm functioning and activity levels in children with mucopolysaccharidosis type III (Sanfilippo syndrome) [Texte imprimé et/ou numérique] / R. A. MUMFORD, Auteur ; L. V. MAHON, Auteur ; S. JONES, Auteur ; B. BIGGER, Auteur ; M. CANAL, Auteur ; D. J. HARE, Auteur . - p.31.
Langues : Anglais (eng)
in Journal of Neurodevelopmental Disorders > 7-1 (December 2015) . - p.31
Mots-clés : Actigraphy Circadian rhythms Mucopolysaccharidosis type III Sanfilippo Sleep Index. décimale : PER Périodiques Résumé : BACKGROUND: Sleep disturbance is part of the behavioural phenotype of the rare genetic condition mucopolysaccharidosis (MPS) type III. A growing body of evidence suggests that underlying disturbance in circadian rhythm functioning may explain sleep problems within the MPS III population. METHODS: Actigraphic data were recorded in eight children with MPS III over 7-10 days and compared to age-matched typically developing controls. Parameters of circadian rhythmicity and activity levels across a 24-h period were analysed. RESULTS: Statistically and clinically significant differences between the two groups were noted. Analysis indicated that children with MPS III showed significantly increased fragmentation of circadian rhythm and reduced stability with external cues (zeitgebers), compared to controls. Average times of activity onset and offset were indicative of a phase delayed sleep-wake cycle for some children in the MPS III group. Children with MPS III had significantly higher activity levels during the early morning hours (midnight-6 am) compared to controls. CONCLUSIONS: Results are consistent with previous research into MPS III and suggest that there is an impairment in circadian rhythm functioning in children with this condition. Implications for clinical practice and the management of sleep difficulties are discussed. En ligne : http://dx.doi.org/10.1186/s11689-015-9126-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=348 Actigraph measures discriminate pediatric bipolar disorder from attention-deficit/hyperactivity disorder and typically developing controls / Gianni L. FAEDDA in Journal of Child Psychology and Psychiatry, 57-6 (June 2016)
[article]
Titre : Actigraph measures discriminate pediatric bipolar disorder from attention-deficit/hyperactivity disorder and typically developing controls Type de document : Texte imprimé et/ou numérique Auteurs : Gianni L. FAEDDA, Auteur ; Kyoko OHASHI, Auteur ; Mariely HERNANDEZ, Auteur ; Cynthia E. MCGREENERY, Auteur ; Marie C. GRANT, Auteur ; Argelinda BARONI, Auteur ; Ann POLCARI, Auteur ; Martin H. TEICHER, Auteur Article en page(s) : p.706-716 Langues : Anglais (eng) Mots-clés : Actigraphy ADHD bipolar disorder child circadian rhythms sleep Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1111/jcpp.12520 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=289
in Journal of Child Psychology and Psychiatry > 57-6 (June 2016) . - p.706-716[article] Actigraph measures discriminate pediatric bipolar disorder from attention-deficit/hyperactivity disorder and typically developing controls [Texte imprimé et/ou numérique] / Gianni L. FAEDDA, Auteur ; Kyoko OHASHI, Auteur ; Mariely HERNANDEZ, Auteur ; Cynthia E. MCGREENERY, Auteur ; Marie C. GRANT, Auteur ; Argelinda BARONI, Auteur ; Ann POLCARI, Auteur ; Martin H. TEICHER, Auteur . - p.706-716.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 57-6 (June 2016) . - p.706-716
Mots-clés : Actigraphy ADHD bipolar disorder child circadian rhythms sleep Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1111/jcpp.12520 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=289