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Is there a cluster of high theta-beta ratio patients in attention deficit hyperactivity disorder?


Bussalb, Aurore; Collin, Sidney; Barthélemy, Quentin; Ojeda, David; Bioulac, Stephanie; Blasco-Fontecilla, Hilario; Brandeis, Daniel; Purper Ouakil, Diane; Ros, Tomas; Mayaud, Louis (2019). Is there a cluster of high theta-beta ratio patients in attention deficit hyperactivity disorder? Clinical Neurophysiology, 130(8):1387-1396.

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 5-21 years. 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.

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 5-21 years. 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.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Psychiatric University Hospital Zurich > Department of Child and Adolescent Psychiatry
04 Faculty of Medicine > Neuroscience Center Zurich
04 Faculty of Medicine > Center for Integrative Human Physiology
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Life Sciences > Sensory Systems
Life Sciences > Neurology
Health Sciences > Neurology (clinical)
Health Sciences > Physiology (medical)
Language:English
Date:1 August 2019
Deposited On:15 Aug 2019 15:34
Last Modified:29 Jul 2020 11:06
Publisher:Elsevier
ISSN:1388-2457
OA Status:Closed
Publisher DOI:https://doi.org/10.1016/j.clinph.2019.02.021
PubMed ID:31176621
Project Information:
  • : FunderH2020
  • : Grant ID684809
  • : Project TitlePersonalized medical device for the diagnosis and treatment of ADHD based on EEG biomarkers and Neurofeedback Training

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