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...
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
10 February 2021
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| In: |
Brain Sciences
Year: 2021, Volume: 11, Issue: 2, Pages: 1-36 |
| ISSN: | 2076-3425 |
| DOI: | 10.3390/brainsci11020214 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.3390/brainsci11020214 Verlag, lizenzpflichtig, Volltext: https://www.mdpi.com/2076-3425/11/2/214 |
| Author Notes: | 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, and on behalf of the ESCAlife-Consortium |
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