Literature DB >> 31619109

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

Madeline M Robertson1, Sarah Furlong1, Bradley Voytek2, Thomas Donoghue2, Charlotte A Boettiger1,3, Margaret A Sheridan1.   

Abstract

Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder characterized by hyperactivity/impulsivity and inattentiveness. Efforts toward the development of a biologically based diagnostic test have identified differences in the EEG power spectrum; most consistently reported is an increased ratio of theta to beta power during resting state in those with the disorder, compared with controls. Current approaches calculate theta/beta ratio using fixed frequency bands, but the observed differences may be confounded by other relevant features of the power spectrum, including shifts in peak oscillation frequency and altered slope or offset of the aperiodic 1/f-like component of the power spectrum. In the present study, we quantify the spectral slope and offset, peak alpha frequency, and band-limited and band-ratio oscillatory power in the resting-state EEG of 3- to 7-yr-old children with and without ADHD. We found that medication-naive children with ADHD had higher alpha power, greater offsets, and steeper slopes compared with typically developing children. Children with ADHD who were treated with stimulants had comparable slopes and offsets to the typically developing group despite a 24-h medication-washout period. We further show that spectral slope correlates with traditional measures of theta/beta ratio, suggesting the utility of slope as a neural marker over and above traditional approaches. Taken with past research demonstrating that spectral slope is associated with executive functioning and excitatory/inhibitory balance, these results suggest that altered slope of the power spectrum may reflect pathology in ADHD.NEW & NOTEWORTHY This article highlights the clinical utility of comprehensively quantifying features of the EEG power spectrum. Using this approach, we identify, for the first time, differences in the aperiodic components of the EEG power spectrum in children with attention-deficit/hyperactivity disorder (ADHD) and provide evidence that spectral slope is a robust indictor of an increase in low- relative to high-frequency power in ADHD.

Entities:  

Keywords:  attention-deficit/hyperactivity disorder; electroencephalography; power spectrum; spectral slope; theta/beta ratio

Year:  2019        PMID: 31619109      PMCID: PMC6966317          DOI: 10.1152/jn.00388.2019

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  67 in total

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Authors:  W Klimesch
Journal:  Brain Res Brain Res Rev       Date:  1999-04

Review 2.  A review of electrophysiology in attention-deficit/hyperactivity disorder: I. Qualitative and quantitative electroencephalography.

Authors:  Robert J Barry; Adam R Clarke; Stuart J Johnstone
Journal:  Clin Neurophysiol       Date:  2003-02       Impact factor: 3.708

3.  A unifying principle underlying the extracellular field potential spectral responses in the human cortex.

Authors:  Ella Podvalny; Niv Noy; Michal Harel; Stephan Bickel; Gal Chechik; Charles E Schroeder; Ashesh D Mehta; Misha Tsodyks; Rafael Malach
Journal:  J Neurophysiol       Date:  2015-04-08       Impact factor: 2.714

4.  Gray matter volume abnormalities in ADHD: voxel-based meta-analysis exploring the effects of age and stimulant medication.

Authors:  Tomohiro Nakao; Joaquim Radua; Katya Rubia; David Mataix-Cols
Journal:  Am J Psychiatry       Date:  2011-08-24       Impact factor: 18.112

5.  Transformations towards the normal distribution of broad band spectral parameters of the EEG.

Authors:  T Gasser; P Bächer; J Möcks
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1982-01

Review 6.  Common mechanisms of excitatory and inhibitory imbalance in schizophrenia and autism spectrum disorders.

Authors:  R Gao; P Penzes
Journal:  Curr Mol Med       Date:  2015       Impact factor: 2.222

7.  Broadband shifts in local field potential power spectra are correlated with single-neuron spiking in humans.

Authors:  Jeremy R Manning; Joshua Jacobs; Itzhak Fried; Michael J Kahana
Journal:  J Neurosci       Date:  2009-10-28       Impact factor: 6.167

8.  Neurometabolic functioning and neuropsychological correlates in children with ADHD-H: preliminary findings.

Authors:  Helen Courvoisie; Stephen R Hooper; Camille Fine; Lester Kwock; Mauricio Castillo
Journal:  J Neuropsychiatry Clin Neurosci       Date:  2004       Impact factor: 2.198

9.  Effects of stimulant medications on the EEG of children with Attention-Deficit/Hyperactivity Disorder Predominantly Inattentive type.

Authors:  Adam R Clarke; Robert J Barry; Rory McCarthy; Mark Selikowitz; Christopher R Brown; Rodney J Croft
Journal:  Int J Psychophysiol       Date:  2003-02       Impact factor: 2.997

Review 10.  Inhibitory control of the excitatory/inhibitory balance in psychiatric disorders.

Authors:  Martijn Selten; Hans van Bokhoven; Nael Nadif Kasri
Journal:  F1000Res       Date:  2018-01-08
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  22 in total

1.  Linked Sources of Neural Noise Contribute to Age-related Cognitive Decline.

Authors:  Tam T Tran; Camarin E Rolle; Adam Gazzaley; Bradley Voytek
Journal:  J Cogn Neurosci       Date:  2020-05-19       Impact factor: 3.225

2.  Parameterizing neural power spectra into periodic and aperiodic components.

Authors:  Thomas Donoghue; Matar Haller; Erik J Peterson; Paroma Varma; Priyadarshini Sebastian; Richard Gao; Torben Noto; Antonio H Lara; Joni D Wallis; Robert T Knight; Avgusta Shestyuk; Bradley Voytek
Journal:  Nat Neurosci       Date:  2020-11-23       Impact factor: 24.884

3.  Spatially bivariate EEG-neurofeedback can manipulate interhemispheric inhibition.

Authors:  Masaaki Hayashi; Kohei Okuyama; Nobuaki Mizuguchi; Ryotaro Hirose; Taisuke Okamoto; Michiyuki Kawakami; Junichi Ushiba
Journal:  Elife       Date:  2022-07-07       Impact factor: 8.713

4.  Decomposing the role of alpha oscillations during brain maturation.

Authors:  Marius Tröndle; Tzvetan Popov; Sabine Dziemian; Nicolas Langer
Journal:  Elife       Date:  2022-08-25       Impact factor: 8.713

5.  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

6.  Aperiodic electrophysiological activity in preterm infants is linked to subsequent autism risk.

Authors:  Lauren C Shuffrey; Nicolò Pini; Mandy Potter; Priscilla Springer; Maristella Lucchini; Yael Rayport; Ayesha Sania; Morgan Firestein; Lucy Brink; Joseph R Isler; Hein Odendaal; William P Fifer
Journal:  Dev Psychobiol       Date:  2022-05       Impact factor: 2.531

7.  Investigating brain electrical activity and functional connectivity in adolescents with clinically elevated levels of ADHD symptoms in alpha frequency band.

Authors:  Ranjan Debnath; Natalie Viola Miller; Santiago Morales; Kaylee R Seddio; Nathan A Fox
Journal:  Brain Res       Date:  2020-10-07       Impact factor: 3.252

8.  Methodological considerations for studying neural oscillations.

Authors:  Thomas Donoghue; Natalie Schaworonkow; Bradley Voytek
Journal:  Eur J Neurosci       Date:  2021-07-16       Impact factor: 3.698

9.  Resting-state EEG Connectivity in Young Children with ADHD.

Authors:  Sarah Furlong; Jessica R Cohen; Joseph Hopfinger; Jenna Snyder; Madeline M Robertson; Margaret A Sheridan
Journal:  J Clin Child Adolesc Psychol       Date:  2020-08-18

Review 10.  Reviewing Evidence for the Relationship of EEG Abnormalities and RTT Phenotype Paralleled by Insights from Animal Studies.

Authors:  Kirill Smirnov; Tatiana Stroganova; Sophie Molholm; Olga Sysoeva
Journal:  Int J Mol Sci       Date:  2021-05-18       Impact factor: 5.923

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