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Verfasst von:Bussalb, Aurore [VerfasserIn]   i
 Collin, Sidney [VerfasserIn]   i
 Barthélemy, Quentin [VerfasserIn]   i
 Ojeda, David [VerfasserIn]   i
 Bioulac, Stephanie [VerfasserIn]   i
 Blasco-Fontecilla, Hilario [VerfasserIn]   i
 Brandeis, Daniel [VerfasserIn]   i
 Purper Ouakil, Diane [VerfasserIn]   i
 Ros, Tomas [VerfasserIn]   i
 Mayaud, Louis [VerfasserIn]   i
Titel:Is there a cluster of high theta-beta ratio patients in attention deficit hyperactivity disorder?
Verf.angabe:Aurore Bussalb, Sidney Collin, Quentin Barthélemy, David Ojeda, Stephanie Bioulac, Hilario Blasco-Fontecilla, Daniel Brandeis, Diane Purper Ouakil, Tomas Ros, Louis Mayaud
E-Jahr:2019
Jahr:9 May 2019
Umfang:10 S.
Fussnoten:Gesehen am 23.07.2019
Titel Quelle:Enthalten in: Clinical neurophysiology
Ort Quelle:Amsterdam [u.a.] : Elsevier Science, 1999
Jahr Quelle:2019
Band/Heft Quelle:130(2019), 8, Seite 1387-1396
ISSN Quelle:1872-8952
Abstract:Objective: It has been suggested that there exists a subgroup of ADHD patients that have a high theta-beta ratio (TBR). The aim of this study was to analyze the distribution of TBR values in ADHD patients and validate the presence of a high-TBR cluster using objective metrics. Methods: The TBR was extracted from eyes-open resting state EEG recordings of 363 ADHD patients, aged 5-21years. The TBR distribution was estimated with three Bayesian Gaussian Mixture Models (BGMMs) with one, two, and three components, respectively. The pairwise comparison of BGMMs was carried out with deviance tests to identify the number of components that best represented the data. Results: The two-component BGMM modeled the TBR values significantly better than the one-component BGMM (p-value=0.005). No significant difference was observed between the two-component and three-component BGMM (p-value=0.850). Conclusion: These results suggest that there exist indeed two TBR clusters within the ADHD population. Significance: This work offers a global framework to understanding values found in the literature and suggest guidelines on how to compute theta-beta ratio values. Moreover, using objective data-driven method we confirm the existence of a high theta-beta ratio cluster.
DOI:doi:10.1016/j.clinph.2019.02.021
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: http://dx.doi.org/10.1016/j.clinph.2019.02.021
 Volltext: http://www.sciencedirect.com/science/article/pii/S1388245719307485
 DOI: https://doi.org/10.1016/j.clinph.2019.02.021
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:ADHD
 Attention-deficit/hyperactivity disorder
 Clusters
 EEG
 Neurofeedback
 theta-beta ratio
K10plus-PPN:1669614913
Verknüpfungen:→ Zeitschrift

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