Systematic comparisons of different quality control approaches applied to three large pediatric neuroimaging datasets

• Published in: NeuroImage (Orlando, Fla.) Vol. 274; p. 120119
• Main Authors: Nakua, Hajer, Hawco, Colin, Forde, Natalie J., Joseph, Michael, Grillet, Maud, Johnson, Delaney, Jacobs, Grace R., Hill, Sean, Voineskos, Aristotle N., Wheeler, Anne L., Lai, Meng-Chuan, Szatmari, Peter, Georgiades, Stelios, Nicolson, Rob, Schachar, Russell, Crosbie, Jennifer, Anagnostou, Evdokia, Lerch, Jason P., Arnold, Paul D., Ameis, Stephanie H.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.07.2023; Elsevier Limited; Elsevier
• Subjects: Algorithms; Attention deficit hyperactivity disorder; Automation; Brain - diagnostic imaging; Brain mapping; Brain research; Child; Children & youth; Cognitive ability; Datasets; Decision making; Demography; Functional magnetic resonance imaging; Humans; Intelligence; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Medical imaging; Mental health; Neurodevelopmental disorders; Neuroimaging; Neuroimaging - methods; Obsessive compulsive disorder; Pediatrics; Quality Control; Reproducibility of Results; Scanners; United States > US

•Overall, there are differences in the participants excluded from four different quality control approaches across three pediatric datasets.•In clinically enriched samples, the greatest correspondence of excluded participants was between automated and visual quality control procedures.•Implementing...