EEG Data Quality: Determinants and Impact in a Multicenter Study of Children, Adolescents, and Adults with Attention-Deficit/Hyperactivity Disorder (ADHD).
artifacts
attention-deficit/hyperactivity disorder (ADHD)
data quality
electroencephalography (EEG)
multicenter study
Journal
Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646
Informations de publication
Date de publication:
10 Feb 2021
10 Feb 2021
Historique:
received:
30
11
2020
revised:
15
01
2021
accepted:
22
01
2021
entrez:
13
2
2021
pubmed:
14
2
2021
medline:
14
2
2021
Statut:
epublish
Résumé
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
Identifiants
pubmed: 33578741
pii: brainsci11020214
doi: 10.3390/brainsci11020214
pmc: PMC7916500
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : German Federal Ministry of Education and Research
ID : FKZ 01EE1408E
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