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

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

Introduction: Poor quality T1-weighted brain scans systematically affect the calculation of brain measures. Removing the influence of such scans requires identifying and excluding scans with noise and artefacts through a quality control (QC) procedure. While QC is critical for brain imaging analyses...

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Bibliographic Details
Main Authors: Hajer Nakua, Colin Hawco, Natalie J. Forde, Michael Joseph, Maud Grillet, Delaney Johnson, Grace R. Jacobs, Sean Hill, Aristotle N. Voineskos, Anne L. Wheeler, Meng-Chuan Lai, Peter Szatmari, Stelios Georgiades, Rob Nicolson, Russell Schachar, Jennifer Crosbie, Evdokia Anagnostou, Jason P. Lerch, Paul D. Arnold, Stephanie H. Ameis
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:NeuroImage
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811923002653

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http://www.sciencedirect.com/science/article/pii/S1053811923002653

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