[article] 
inJournal of Neurodevelopmental Disorders > 9-1 (December 2017) . - p.17

Titre :	Delta rhythmicity is a reliable EEG biomarker in Angelman syndrome: a parallel mouse and human analysis
Type de document :	Texte imprimé et/ou numérique
Auteurs :	M. S. SIDOROV, Auteur ; G. M. DECK, Auteur ; M. DOLATSHAHI, Auteur ; R. L. THIBERT, Auteur ; L. M. BIRD, Auteur ; C. J. CHU, Auteur ; B. D. PHILPOT, Auteur
Article en page(s) :	p.17
Langues :	Anglais (eng)
Mots-clés :	Angelman syndrome  Biomarker  Delta  Eeg  Mouse model  Outcome measure  Ube3a
Index. décimale :	PER Périodiques
Résumé :	BACKGROUND: Clinicians have qualitatively described rhythmic delta activity as a prominent EEG abnormality in individuals with Angelman syndrome, but this phenotype has yet to be rigorously quantified in the clinical population or validated in a preclinical model. Here, we sought to quantitatively measure delta rhythmicity and evaluate its fidelity as a biomarker. METHODS: We quantified delta oscillations in mouse and human using parallel spectral analysis methods and measured regional, state-specific, and developmental changes in delta rhythms in a patient population. RESULTS: Delta power was broadly increased and more dynamic in both the Angelman syndrome mouse model, relative to wild-type littermates, and in children with Angelman syndrome, relative to age-matched neurotypical controls. Enhanced delta oscillations in children with Angelman syndrome were present during wakefulness and sleep, were generalized across the neocortex, and were more pronounced at earlier ages. CONCLUSIONS: Delta rhythmicity phenotypes can serve as reliable biomarkers for Angelman syndrome in both preclinical and clinical settings.
En ligne :	http://dx.doi.org/10.1186/s11689-017-9195-8
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=350

[article] Delta rhythmicity is a reliable EEG biomarker in Angelman syndrome: a parallel mouse and human analysis [Texte imprimé et/ou numérique] / M. S. SIDOROV, Auteur ; G. M. DECK, Auteur ; M. DOLATSHAHI, Auteur ; R. L. THIBERT, Auteur ; L. M. BIRD, Auteur ; C. J. CHU, Auteur ; B. D. PHILPOT, Auteur . - p.17.
Langues : Anglais (eng)
in Journal of Neurodevelopmental Disorders > 9-1 (December 2017) . - p.17

Mots-clés :	Angelman syndrome  Biomarker  Delta  Eeg  Mouse model  Outcome measure  Ube3a
Index. décimale :	PER Périodiques
Résumé :	BACKGROUND: Clinicians have qualitatively described rhythmic delta activity as a prominent EEG abnormality in individuals with Angelman syndrome, but this phenotype has yet to be rigorously quantified in the clinical population or validated in a preclinical model. Here, we sought to quantitatively measure delta rhythmicity and evaluate its fidelity as a biomarker. METHODS: We quantified delta oscillations in mouse and human using parallel spectral analysis methods and measured regional, state-specific, and developmental changes in delta rhythms in a patient population. RESULTS: Delta power was broadly increased and more dynamic in both the Angelman syndrome mouse model, relative to wild-type littermates, and in children with Angelman syndrome, relative to age-matched neurotypical controls. Enhanced delta oscillations in children with Angelman syndrome were present during wakefulness and sleep, were generalized across the neocortex, and were more pronounced at earlier ages. CONCLUSIONS: Delta rhythmicity phenotypes can serve as reliable biomarkers for Angelman syndrome in both preclinical and clinical settings.
En ligne :	http://dx.doi.org/10.1186/s11689-017-9195-8
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=350