EEG Data Quality: Determinants and Impact in a Multicenter Study of Children, Adolescents, and Adults with Attention-Deficit/Hyperactivity Disorder (ADHD)

Electroencephalography (EEG) represents a widely established method for assessing altered and typically developing brain function. However, systematic studies on EEG data quality, its correlates, and consequences are scarce. To address this research gap, the current study focused on the percentage o...

Full description

Bibliographic Details
Main Authors: Anna Kaiser, Pascal-M. Aggensteiner, Martin Holtmann, Andreas Fallgatter, Marcel Romanos, Karina Abenova, Barbara Alm, Katja Becker, Manfred Döpfner, Thomas Ethofer, Christine M. Freitag, Julia Geissler, Johannes Hebebrand, Michael Huss, Thomas Jans, Lea Teresa Jendreizik, Johanna Ketter, Tanja Legenbauer, Alexandra Philipsen, Luise Poustka, Tobias Renner, Wolfgang Retz, Michael Rösler, Johannes Thome, Henrik Uebel-von Sandersleben, Elena von Wirth, Toivo Zinnow, Sarah Hohmann, Sabina Millenet, Nathalie E. Holz, Tobias Banaschewski, Daniel Brandeis, on behalf of the ESCAlife-Consortium
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Brain Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3425/11/2/214

Similar Items