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Abnormal coherence and sleep composition in children with Angelman syndrome: a retrospective EEG study / H. DEN BAKKER in Molecular Autism, 9 (2018)
[article]
Titre : Abnormal coherence and sleep composition in children with Angelman syndrome: a retrospective EEG study Type de document : Texte imprimé et/ou numérique Auteurs : H. DEN BAKKER, Auteur ; M. S. SIDOROV, Auteur ; Z. FAN, Auteur ; D. J. LEE, Auteur ; L. M. BIRD, Auteur ; C. J. CHU, Auteur ; B. D. PHILPOT, Auteur Article en page(s) : 32p. Langues : Anglais (eng) Mots-clés : Angelman Syndrome/physiopathology Case-Control Studies Child Delta Rhythm Female Gamma Rhythm Humans Male Sleep Stages Angelman syndrome Biomarker Coherence eeg Spindles UBE3A Index. décimale : PER Périodiques Résumé : Background: Angelman syndrome (AS) is a neurodevelopmental disorder characterized by intellectual disability, speech and motor impairments, epilepsy, abnormal sleep, and phenotypic overlap with autism. Individuals with AS display characteristic EEG patterns including high-amplitude rhythmic delta waves. Here, we sought to quantitatively explore EEG architecture in AS beyond known spectral power phenotypes. We were motivated by studies of functional connectivity and sleep spindles in autism to study these EEG readouts in children with AS. Methods: We analyzed retrospective wake and sleep EEGs from children with AS (age 4-11) and age-matched neurotypical controls. We assessed long-range and short-range functional connectivity by measuring coherence across multiple frequencies during wake and sleep. We quantified sleep spindles using automated and manual approaches. Results: During wakefulness, children with AS showed enhanced long-range EEG coherence across a wide range of frequencies. During sleep, children with AS showed increased long-range EEG coherence specifically in the gamma band. EEGs from children with AS contained fewer sleep spindles, and these spindles were shorter in duration than their neurotypical counterparts. Conclusions: We demonstrate two quantitative readouts of dysregulated sleep composition in children with AS-gamma coherence and spindles-and describe how functional connectivity patterns may be disrupted during wakefulness. Quantitative EEG phenotypes have potential as biomarkers and readouts of target engagement for future clinical trials and provide clues into how neural circuits are dysregulated in children with AS. En ligne : https://dx.doi.org/10.1186/s13229-018-0214-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=371
in Molecular Autism > 9 (2018) . - 32p.[article] Abnormal coherence and sleep composition in children with Angelman syndrome: a retrospective EEG study [Texte imprimé et/ou numérique] / H. DEN BAKKER, Auteur ; M. S. SIDOROV, Auteur ; Z. FAN, Auteur ; D. J. LEE, Auteur ; L. M. BIRD, Auteur ; C. J. CHU, Auteur ; B. D. PHILPOT, Auteur . - 32p.
Langues : Anglais (eng)
in Molecular Autism > 9 (2018) . - 32p.
Mots-clés : Angelman Syndrome/physiopathology Case-Control Studies Child Delta Rhythm Female Gamma Rhythm Humans Male Sleep Stages Angelman syndrome Biomarker Coherence eeg Spindles UBE3A Index. décimale : PER Périodiques Résumé : Background: Angelman syndrome (AS) is a neurodevelopmental disorder characterized by intellectual disability, speech and motor impairments, epilepsy, abnormal sleep, and phenotypic overlap with autism. Individuals with AS display characteristic EEG patterns including high-amplitude rhythmic delta waves. Here, we sought to quantitatively explore EEG architecture in AS beyond known spectral power phenotypes. We were motivated by studies of functional connectivity and sleep spindles in autism to study these EEG readouts in children with AS. Methods: We analyzed retrospective wake and sleep EEGs from children with AS (age 4-11) and age-matched neurotypical controls. We assessed long-range and short-range functional connectivity by measuring coherence across multiple frequencies during wake and sleep. We quantified sleep spindles using automated and manual approaches. Results: During wakefulness, children with AS showed enhanced long-range EEG coherence across a wide range of frequencies. During sleep, children with AS showed increased long-range EEG coherence specifically in the gamma band. EEGs from children with AS contained fewer sleep spindles, and these spindles were shorter in duration than their neurotypical counterparts. Conclusions: We demonstrate two quantitative readouts of dysregulated sleep composition in children with AS-gamma coherence and spindles-and describe how functional connectivity patterns may be disrupted during wakefulness. Quantitative EEG phenotypes have potential as biomarkers and readouts of target engagement for future clinical trials and provide clues into how neural circuits are dysregulated in children with AS. En ligne : https://dx.doi.org/10.1186/s13229-018-0214-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=371 Abnormal electrophysiological phenotypes and sleep deficits in a mouse model of Angelman Syndrome / N. A. COPPING in Molecular Autism, 12 (2021)
[article]
Titre : Abnormal electrophysiological phenotypes and sleep deficits in a mouse model of Angelman Syndrome Type de document : Texte imprimé et/ou numérique Auteurs : N. A. COPPING, Auteur ; J. L. SILVERMAN, Auteur Article en page(s) : 9p. Langues : Anglais (eng) Mots-clés : Angelman Syndrome Behavior Genetics Mouse models Seizures Sleep Spindles Ube3a Index. décimale : PER Périodiques Résumé : BACKGROUND: Angelman Syndrome (AS) is a rare genetic disorder characterized by impaired communication, motor and balance deficits, intellectual disabilities, recurring seizures and abnormal sleep patterns. The genetic cause of AS is neuronal-specific loss of expression of UBE3A (ubiquitin-protein ligase E6-AP), an imprinted gene. Seizure and sleep disorders are highly prevalent (>?80%) in the AS population. The present experiments were designed to identify translational, neurophysiological outcome measures in a model of AS. METHODS: We used the exon-2 deletion mouse (Ube3a-del) on a C57BL/6J background to assess seizure, sleep and electrophysiological phenotypes. Seizure susceptibility has been reported in Ube3a-del mice with a variety of seizure induction methods. Here, we provoked seizures by a single high-dose injection of 80 mg/kg pentylenetetrazole. Novel experiments included the utilization of wireless telemetry devices to acquire global electroencephalogram (EEG) and neurophysiological data on electrographic seizures, power spectra, light-dark cycles, sleep stages and sleep spindles in Ube3a-del and WT mice. RESULTS: Ube3a-del mice exhibited reduced seizure threshold compared to WT. EEG illustrated that Ube3a-del mice had increased epileptiform spiking activity and delta power, which corroborates findings from other laboratories and recapitulates clinical reports in AS. This is the first report to use a cortical surface-based recording by a wireless telemetry device over tethered/fixed head-mount depth recordings. Less time in both paradoxical and slow-wave sleep, longer latencies to paradoxical sleep stages and total less sleep time in Ube3a-del mice were observed compared to WT. For the first time, we detected fewer sleep spindles in the AS mouse model. LIMITATIONS: This study was limited to the exon 2 deletion mouse model, and future work will investigate the rat model of AS, containing a complete Ube3a deletion and pair EEG with behavior. CONCLUSIONS: Our data enhance rigor and translatability as our study provides important corroboration of previous reports on epileptiform and elevated delta power. For the first time we report neurophysiological phenotypes collected via translational methodology. Furthermore, this is the first report of reduced sleep spindles, a critical marker of memory consolidation during sleep, in an AS model. Our results are useful outcomes for therapeutic testing. En ligne : http://dx.doi.org/10.1186/s13229-021-00416-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=442
in Molecular Autism > 12 (2021) . - 9p.[article] Abnormal electrophysiological phenotypes and sleep deficits in a mouse model of Angelman Syndrome [Texte imprimé et/ou numérique] / N. A. COPPING, Auteur ; J. L. SILVERMAN, Auteur . - 9p.
Langues : Anglais (eng)
in Molecular Autism > 12 (2021) . - 9p.
Mots-clés : Angelman Syndrome Behavior Genetics Mouse models Seizures Sleep Spindles Ube3a Index. décimale : PER Périodiques Résumé : BACKGROUND: Angelman Syndrome (AS) is a rare genetic disorder characterized by impaired communication, motor and balance deficits, intellectual disabilities, recurring seizures and abnormal sleep patterns. The genetic cause of AS is neuronal-specific loss of expression of UBE3A (ubiquitin-protein ligase E6-AP), an imprinted gene. Seizure and sleep disorders are highly prevalent (>?80%) in the AS population. The present experiments were designed to identify translational, neurophysiological outcome measures in a model of AS. METHODS: We used the exon-2 deletion mouse (Ube3a-del) on a C57BL/6J background to assess seizure, sleep and electrophysiological phenotypes. Seizure susceptibility has been reported in Ube3a-del mice with a variety of seizure induction methods. Here, we provoked seizures by a single high-dose injection of 80 mg/kg pentylenetetrazole. Novel experiments included the utilization of wireless telemetry devices to acquire global electroencephalogram (EEG) and neurophysiological data on electrographic seizures, power spectra, light-dark cycles, sleep stages and sleep spindles in Ube3a-del and WT mice. RESULTS: Ube3a-del mice exhibited reduced seizure threshold compared to WT. EEG illustrated that Ube3a-del mice had increased epileptiform spiking activity and delta power, which corroborates findings from other laboratories and recapitulates clinical reports in AS. This is the first report to use a cortical surface-based recording by a wireless telemetry device over tethered/fixed head-mount depth recordings. Less time in both paradoxical and slow-wave sleep, longer latencies to paradoxical sleep stages and total less sleep time in Ube3a-del mice were observed compared to WT. For the first time, we detected fewer sleep spindles in the AS mouse model. LIMITATIONS: This study was limited to the exon 2 deletion mouse model, and future work will investigate the rat model of AS, containing a complete Ube3a deletion and pair EEG with behavior. CONCLUSIONS: Our data enhance rigor and translatability as our study provides important corroboration of previous reports on epileptiform and elevated delta power. For the first time we report neurophysiological phenotypes collected via translational methodology. Furthermore, this is the first report of reduced sleep spindles, a critical marker of memory consolidation during sleep, in an AS model. Our results are useful outcomes for therapeutic testing. En ligne : http://dx.doi.org/10.1186/s13229-021-00416-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=442 Abnormal sleep physiology in children with 15q11.2-13.1 duplication (Dup15q) syndrome / V. SARAVANAPANDIAN in Molecular Autism, 12 (2021)
[article]
Titre : Abnormal sleep physiology in children with 15q11.2-13.1 duplication (Dup15q) syndrome Type de document : Texte imprimé et/ou numérique Auteurs : V. SARAVANAPANDIAN, Auteur ; D. NADKARNI, Auteur ; S. H. HSU, Auteur ; S. A. HUSSAIN, Auteur ; K. MASKI, Auteur ; P. GOLSHANI, Auteur ; C. S. COLWELL, Auteur ; S. BALASUBRAMANIAN, Auteur ; A. DIXON, Auteur ; D. H. GESCHWIND, Auteur ; S. S. JESTE, Auteur Article en page(s) : 54 p. Langues : Anglais (eng) Mots-clés : Autism Biomarkers Dup15q syndrome Eeg Gabaar Sleep Slow wave sleep Spindles UBE3A Hoffmann-La Roche Ltd. and Yamo Pharmaceuticals. All the other authors declare that they have no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Sleep disturbances in autism spectrum disorder (ASD) represent a common and vexing comorbidity. Clinical heterogeneity amongst these warrants studies of the mechanisms associated with specific genetic etiologies. Duplications of 15q11.2-13.1 (Dup15q syndrome) are highly penetrant for neurodevelopmental disorders (NDDs) such as intellectual disability and ASD, as well as sleep disturbances. Genes in the 15q region, particularly UBE3A and a cluster of GABA(A) receptor genes, are critical for neural development, synaptic protein synthesis and degradation, and inhibitory neurotransmission. During awake electroencephalography (EEG), children with Dup15q syndrome demonstrate increased beta band oscillations (12-30 Hz) that likely reflect aberrant GABAergic neurotransmission. Healthy sleep rhythms, necessary for robust cognitive development, are also highly dependent on GABAergic neurotransmission. We therefore hypothesized that sleep physiology would be abnormal in children with Dup15q syndrome. METHODS: To test the hypothesis that elevated beta oscillations persist in sleep in Dup15q syndrome and that NREM sleep rhythms would be disrupted, we computed: (1) beta power, (2) spindle density, and (3) percentage of slow-wave sleep (SWS) in overnight sleep EEG recordings from a cohort of children with Dup15q syndrome (n?=?15) and compared them to age-matched neurotypical children (n?=?12). RESULTS: Children with Dup15q syndrome showed abnormal sleep physiology with elevated beta power, reduced spindle density, and reduced or absent SWS compared to age-matched neurotypical controls. LIMITATIONS: This study relied on clinical EEG where sleep staging was not available. However, considering that clinical polysomnograms are challenging to collect in this population, the ability to quantify these biomarkers on clinical EEG-routinely ordered for epilepsy monitoring-opens the door for larger-scale studies. While comparable to other human studies in rare genetic disorders, a larger sample would allow for examination of the role of seizure severity, medications, and developmental age that may impact sleep physiology. CONCLUSIONS: We have identified three quantitative EEG biomarkers of sleep disruption in Dup15q syndrome, a genetic condition highly penetrant for ASD. Insights from this study not only promote a greater mechanistic understanding of the pathophysiology defining Dup15q syndrome, but also lay the foundation for studies that investigate the association between sleep and cognition. Abnormal sleep physiology may undermine healthy cognitive development and may serve as a quantifiable and modifiable target for behavioral and pharmacological interventions. En ligne : http://dx.doi.org/10.1186/s13229-021-00460-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459
in Molecular Autism > 12 (2021) . - 54 p.[article] Abnormal sleep physiology in children with 15q11.2-13.1 duplication (Dup15q) syndrome [Texte imprimé et/ou numérique] / V. SARAVANAPANDIAN, Auteur ; D. NADKARNI, Auteur ; S. H. HSU, Auteur ; S. A. HUSSAIN, Auteur ; K. MASKI, Auteur ; P. GOLSHANI, Auteur ; C. S. COLWELL, Auteur ; S. BALASUBRAMANIAN, Auteur ; A. DIXON, Auteur ; D. H. GESCHWIND, Auteur ; S. S. JESTE, Auteur . - 54 p.
Langues : Anglais (eng)
in Molecular Autism > 12 (2021) . - 54 p.
Mots-clés : Autism Biomarkers Dup15q syndrome Eeg Gabaar Sleep Slow wave sleep Spindles UBE3A Hoffmann-La Roche Ltd. and Yamo Pharmaceuticals. All the other authors declare that they have no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Sleep disturbances in autism spectrum disorder (ASD) represent a common and vexing comorbidity. Clinical heterogeneity amongst these warrants studies of the mechanisms associated with specific genetic etiologies. Duplications of 15q11.2-13.1 (Dup15q syndrome) are highly penetrant for neurodevelopmental disorders (NDDs) such as intellectual disability and ASD, as well as sleep disturbances. Genes in the 15q region, particularly UBE3A and a cluster of GABA(A) receptor genes, are critical for neural development, synaptic protein synthesis and degradation, and inhibitory neurotransmission. During awake electroencephalography (EEG), children with Dup15q syndrome demonstrate increased beta band oscillations (12-30 Hz) that likely reflect aberrant GABAergic neurotransmission. Healthy sleep rhythms, necessary for robust cognitive development, are also highly dependent on GABAergic neurotransmission. We therefore hypothesized that sleep physiology would be abnormal in children with Dup15q syndrome. METHODS: To test the hypothesis that elevated beta oscillations persist in sleep in Dup15q syndrome and that NREM sleep rhythms would be disrupted, we computed: (1) beta power, (2) spindle density, and (3) percentage of slow-wave sleep (SWS) in overnight sleep EEG recordings from a cohort of children with Dup15q syndrome (n?=?15) and compared them to age-matched neurotypical children (n?=?12). RESULTS: Children with Dup15q syndrome showed abnormal sleep physiology with elevated beta power, reduced spindle density, and reduced or absent SWS compared to age-matched neurotypical controls. LIMITATIONS: This study relied on clinical EEG where sleep staging was not available. However, considering that clinical polysomnograms are challenging to collect in this population, the ability to quantify these biomarkers on clinical EEG-routinely ordered for epilepsy monitoring-opens the door for larger-scale studies. While comparable to other human studies in rare genetic disorders, a larger sample would allow for examination of the role of seizure severity, medications, and developmental age that may impact sleep physiology. CONCLUSIONS: We have identified three quantitative EEG biomarkers of sleep disruption in Dup15q syndrome, a genetic condition highly penetrant for ASD. Insights from this study not only promote a greater mechanistic understanding of the pathophysiology defining Dup15q syndrome, but also lay the foundation for studies that investigate the association between sleep and cognition. Abnormal sleep physiology may undermine healthy cognitive development and may serve as a quantifiable and modifiable target for behavioral and pharmacological interventions. En ligne : http://dx.doi.org/10.1186/s13229-021-00460-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459