EEG spectral power, but not theta/beta ratio, is a neuromarker for adult ADHD.

Autor: Kiiski H; Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland., Bennett M; Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.; Medical Research Council- Cognition and Brain Sciences Unit, University of Cambridge, UK., Rueda-Delgado LM; Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland., Farina FR; Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland., Knight R; Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland., Boyle R; Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland., Roddy D; Department of Psychiatry, Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.; Department of Physiology, School of Medicine, University College Dublin, Dublin, Ireland., Grogan K; UCD School of Psychology, University College Dublin, Dublin, Ireland., Bramham J; UCD School of Psychology, University College Dublin, Dublin, Ireland., Kelly C; Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland., Whelan R; Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.; Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
Jazyk: angličtina
Zdroj: The European journal of neuroscience [Eur J Neurosci] 2020 May; Vol. 51 (10), pp. 2095-2109. Date of Electronic Publication: 2020 Jan 22.
DOI: 10.1111/ejn.14645
Abstrakt: Adults with attention-deficit/hyperactivity disorder (ADHD) have been described as having altered resting-state electroencephalographic (EEG) spectral power and theta/beta ratio (TBR). However, a recent review (Pulini et al. 2018) identified methodological errors in neuroimaging, including EEG, ADHD classification studies. Therefore, the specific EEG neuromarkers of adult ADHD remain to be identified, as do the EEG characteristics that mediate between genes and behaviour (mediational endophenotypes). Resting-state eyes-open and eyes-closed EEG was measured from 38 adults with ADHD, 45 first-degree relatives of people with ADHD and 51 unrelated controls. A machine learning classification analysis using penalized logistic regression (Elastic Net) examined if EEG spectral power (1-45 Hz) and TBR could classify participants into ADHD, first-degree relatives and/or control groups. Random-label permutation was used to quantify any bias in the analysis. Eyes-open absolute and relative EEG power distinguished ADHD from control participants (area under receiver operating characteristic = 0.71-0.77). The best predictors of ADHD status were increased power in delta, theta and low-alpha over centro-parietal regions, and in frontal low-beta and parietal mid-beta. TBR did not successfully classify ADHD status. Elevated eyes-open power in delta, theta, low-alpha and low-beta distinguished first-degree relatives from controls (area under receiver operating characteristic = 0.68-0.72), suggesting that these features may be a mediational endophenotype for adult ADHD. Resting-state EEG spectral power may be a neuromarker and mediational endophenotype of adult ADHD. These results did not support TBR as a diagnostic neuromarker for ADHD. It is possible that TBR is a characteristic of childhood ADHD.
(© 2019 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.)
Databáze: MEDLINE
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