Literature DB >> 25823742

Is the Theta/Beta EEG Marker for ADHD Inherently Flawed?

Jacqueline F Saad1, Michael R Kohn1,2,3,4, Simon Clarke1,2,3,4, Jim Lagopoulos1, Daniel F Hermens1.   

Abstract

OBJECTIVE: Despite advances in our understanding of ADHD as a neurodevelopmental disorder, robust biomarkers are yet to be established in clinical practice. More than 40 years of electroencephalography (EEG)-based research has culminated in the recent Food and Drug Administration (FDA) approval of the theta/beta (EEG power) ratio (TBR) as a diagnostic marker of ADHD.
METHOD: This review article focuses on resting-state EEG power research in ADHD.
RESULTS: Inconsistent findings in the literature and suggestions of reduced specificity threaten the utility of TBR as a biomarker of ADHD. The use of fixed EEG bands may be a significant limitation, particularly in youth, and alternative approaches are needed.
CONCLUSION: We propose that a personalized theta-to-alpha cut point or "transition frequency" is a better frame of reference for the measurement of TBR. Such an approach is better placed to test maturational lag and cortical hypoarousal models of ADHD and may in turn have greater utility in supporting diagnosis.

Entities:  

Keywords:  ADHD; EEG power; FDA approval; cortical hypoarousal; theta/beta ratio

Mesh:

Substances:

Year:  2015        PMID: 25823742     DOI: 10.1177/1087054715578270

Source DB:  PubMed          Journal:  J Atten Disord        ISSN: 1087-0547            Impact factor:   3.256


  17 in total

1.  The relationship between alpha asymmetry and ADHD depends on negative affect level and parenting practices.

Authors:  Brittany R Alperin; Christiana J Smith; Hanna C Gustafsson; McKenzie T Figuracion; Sarah L Karalunas
Journal:  J Psychiatr Res       Date:  2019-06-18       Impact factor: 4.791

2.  EEG power spectral slope differs by ADHD status and stimulant medication exposure in early childhood.

Authors:  Madeline M Robertson; Sarah Furlong; Bradley Voytek; Thomas Donoghue; Charlotte A Boettiger; Margaret A Sheridan
Journal:  J Neurophysiol       Date:  2019-10-16       Impact factor: 2.714

3.  The Patient Repository for EEG Data + Computational Tools (PRED+CT).

Authors:  James F Cavanagh; Arthur Napolitano; Christopher Wu; Abdullah Mueen
Journal:  Front Neuroinform       Date:  2017-11-21       Impact factor: 4.081

4.  What Has Been Learned from Using EEG Methods in Research of ADHD?

Authors:  Gráinne McLoughlin; Máté Gyurkovics; Ümit Aydin
Journal:  Curr Top Behav Neurosci       Date:  2022

Review 5.  The Learning Curve in neurofeedback of Peter Van Deusen: A review article.

Authors:  Valdenilson Ribeiro Ribas; Renata de Melo Guerra Ribas; Hugo André de Lima Martins
Journal:  Dement Neuropsychol       Date:  2016 Apr-Jun

6.  Regional brain network organization distinguishes the combined and inattentive subtypes of Attention Deficit Hyperactivity Disorder.

Authors:  Jacqueline F Saad; Kristi R Griffiths; Michael R Kohn; Simon Clarke; Leanne M Williams; Mayuresh S Korgaonkar
Journal:  Neuroimage Clin       Date:  2017-05-22       Impact factor: 4.881

7.  A unique pattern of cortical connectivity characterizes patients with attention deficit disorders: a large electroencephalographic coherence study.

Authors:  Frank H Duffy; Aditi Shankardass; Gloria B McAnulty; Heidelise Als
Journal:  BMC Med       Date:  2017-03-09       Impact factor: 8.775

8.  Impact of Motivation on Selected Aspects of Attention in Children with ADHD.

Authors:  Sebastian Skalski; Grzegorz Pochwatko; Robert Balas
Journal:  Child Psychiatry Hum Dev       Date:  2020-08-20

9.  Resting Theta/Beta Ratios Mediate the Relationship Between Motor Competence and Inhibition in Children With Attention Deficit/Hyperactivity Disorder.

Authors:  Chi-Fang Lin; Chung-Ju Huang; Yu-Jung Tsai; Ting-Yu Chueh; Chiao-Ling Hung; Yu-Kai Chang; Tsung-Min Hung
Journal:  Front Psychol       Date:  2021-06-03

10.  The neuronal mechanisms underlying improvement of impulsivity in ADHD by theta/beta neurofeedback.

Authors:  Annet Bluschke; Felicia Broschwitz; Simon Kohl; Veit Roessner; Christian Beste
Journal:  Sci Rep       Date:  2016-08-12       Impact factor: 4.379

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