Abstract
This article describes various approaches for excluding and recognizing artifacts in functional magnetic resonance data. Similar methods can be applied to intractable artifacts, such as breathing and pulse artifacts, from white matter and cerebrospinal fluid pulsations. In this paper, using real experimental data various algorithms and approaches that can be applied not only to standard echo-planar mri-sequences, but also to ultra fast sequences are shown. Such methods make it possible for researchers to reveal only the actual human brain activity and more accurately talk about zones of functionality for certain cognitive tasks.
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