Kaiser, Anna, Aggensteiner, Pascal-M, Holtmann, Martin, Fallgatter, Andreas, Romanos, Marcel ORCID: 0000-0001-7628-8299, Abenova, Karina ORCID: 0000-0002-0902-0628, Alm, Barbara, Becker, Katja ORCID: 0000-0003-4858-5127, Dopfner, Manfred ORCID: 0000-0002-7929-0463, Ethofer, Thomas, Freitag, Christine M., Geissler, Julia ORCID: 0000-0003-1878-9647, Hebebrand, Johannes, Huss, Michael, Jans, Thomas, Jendreizik, Lea Teresa ORCID: 0000-0003-4312-7645, Ketter, Johanna, Legenbauer, Tanja, Philipsen, Alexandra ORCID: 0000-0001-6876-518X, Poustka, Luise, Renner, Tobias, Retz, Wolfgang, Roesler, Michael, Thome, Johannes, Uebel-von Sandersleben, Henrik, von Wirth, Elena ORCID: 0000-0003-2461-4966, Zinnow, Toivo, Hohmann, Sarah, Millenet, Sabina, Holz, Nathalie E., Banaschewski, Tobias ORCID: 0000-0003-4595-1144 and Brandeis, Daniel (2021). EEG Data Quality: Determinants and Impact in a Multicenter Study of Children, Adolescents, and Adults with Attention-Deficit/Hyperactivity Disorder (ADHD). Brain Sci., 11 (2). BASEL: MDPI. ISSN 2076-3425

Full text not available from this repository.

Abstract

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.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Kaiser, AnnaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Aggensteiner, Pascal-MUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Holtmann, MartinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fallgatter, AndreasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Romanos, MarcelUNSPECIFIEDorcid.org/0000-0001-7628-8299UNSPECIFIED
Abenova, KarinaUNSPECIFIEDorcid.org/0000-0002-0902-0628UNSPECIFIED
Alm, BarbaraUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Becker, KatjaUNSPECIFIEDorcid.org/0000-0003-4858-5127UNSPECIFIED
Dopfner, ManfredUNSPECIFIEDorcid.org/0000-0002-7929-0463UNSPECIFIED
Ethofer, ThomasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Freitag, Christine M.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Geissler, JuliaUNSPECIFIEDorcid.org/0000-0003-1878-9647UNSPECIFIED
Hebebrand, JohannesUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Huss, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Jans, ThomasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Jendreizik, Lea TeresaUNSPECIFIEDorcid.org/0000-0003-4312-7645UNSPECIFIED
Ketter, JohannaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Legenbauer, TanjaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Philipsen, AlexandraUNSPECIFIEDorcid.org/0000-0001-6876-518XUNSPECIFIED
Poustka, LuiseUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Renner, TobiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Retz, WolfgangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Roesler, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Thome, JohannesUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Uebel-von Sandersleben, HenrikUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
von Wirth, ElenaUNSPECIFIEDorcid.org/0000-0003-2461-4966UNSPECIFIED
Zinnow, ToivoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hohmann, SarahUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Millenet, SabinaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Holz, Nathalie E.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Banaschewski, TobiasUNSPECIFIEDorcid.org/0000-0003-4595-1144UNSPECIFIED
Brandeis, DanielUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-605476
DOI: 10.3390/brainsci11020214
Journal or Publication Title: Brain Sci.
Volume: 11
Number: 2
Date: 2021
Publisher: MDPI
Place of Publication: BASEL
ISSN: 2076-3425
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
NeurosciencesMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/60547

Downloads

Downloads per month over past year

Altmetric

Export

Actions (login required)

View Item View Item