TY  - JOUR
A1  - Kaiser, Anna
A1  - Aggensteiner, Pascal-M.
A1  - Holtmann, Martin
A1  - Fallgatter, Andreas
A1  - Romanos, Marcel
A1  - Abenova, Karina
A1  - Alm, Barbara
A1  - Becker, Katja
A1  - Döpfner, Manfred
A1  - Ethofer, Thomas
A1  - Freitag, Christine M.
A1  - Geissler, Julia
A1  - Hebebrand, Johannes
A1  - Huss, Michael
A1  - Jans, Thomas
A1  - Jendreizik, Lea Teresa
A1  - Ketter, Johanna
A1  - Legenbauer, Tanja
A1  - Philipsen, Alexandra
A1  - Poustka, Luise
A1  - Renner, Tobias
A1  - Retz, Wolfgang
A1  - Rösler, Michael
A1  - Thome, Johannes
A1  - Uebel-von Sandersleben, Henrik
A1  - von Wirth, Elena
A1  - Zinnow, Toivo
A1  - Hohmann, Sarah
A1  - Millenet, Sabina
A1  - Holz, Nathalie E.
A1  - Banaschewski, Tobias
A1  - Brandeis, Daniel
T1  - EEG data quality: determinants and impact in a multicenter study of children, adolescents, and adults with attention-deficit/hyperactivity disorder (ADHD)
JF  - Brain Sciences
N2  - 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 of artifact-free segments after standard EEG pre-processing as a data quality index. We analyzed participant-related and methodological influences, and validity by replicating landmark EEG effects. Further, effects of data quality on spectral power analyses beyond participant-related characteristics were explored. EEG data from a multicenter ADHD-cohort (age range 6 to 45 years), and a non-ADHD school-age control group were analyzed (n\(_{total}\) = 305). Resting-state data during eyes open, and eyes closed conditions, and task-related data during a cued Continuous Performance Task (CPT) were collected. After pre-processing, general linear models, and stepwise regression models were fitted to the data. We found that EEG data quality was strongly related to demographic characteristics, but not to methodological factors. We were able to replicate maturational, task, and ADHD effects reported in the EEG literature, establishing a link with EEG-landmark effects. Furthermore, we showed that poor data quality significantly increases spectral power beyond effects of maturation and symptom severity. Taken together, the current results indicate that with a careful design and systematic quality control, informative large-scale multicenter trials characterizing neurophysiological mechanisms in neurodevelopmental disorders across the lifespan are feasible. Nevertheless, results are restricted to the limitations reported. Future work will clarify predictive value.
KW  - electroencephalography (EEG)
KW  - data quality
KW  - attention-deficit/hyperactivity disorder (ADHD)
KW  - artifacts
KW  - multicenter study
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-228788
SN  - 2076-3425
VL  - 11
IS  - 2
ER  -