Abstract
Brain imaging quality of data is important to confirm their liability of brain imaging studies. Previous literature confirmed that some confounding factors such as movement, age, and gender may impact brain imaging quality. Automatic quality control (QC) applications may not be able to properly calculate their reliability due to confounding factors.There are a few studies on brain imaging quality data and relevant confounding factors such as age or gender.
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