Susan Whitfield-Gabrieli

The standard automated preprocessing techniques are usually adequate to reduce instrumental and physiological noise to acceptable levels. In some circmstances, particularly in experiments involving children, the aged, or when studying clinical samples, physiological noise can adversely affect the detection of task-related activity. A combination of "bottom-up" and "top-down" manual quality assurance procedures can often allow successful activity modulation detection in datasets containing significant artifacts.

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