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A sensitivity analysis to quantify the impact of neuroimaging preprocessing strategies on subsequent statistical analyses
April 24, 2024, 4:45 a.m. | Brize Ozenne, Martin Norgaard, Cyril Pernet, Melanie Ganz
cs.CV updates on arXiv.org arxiv.org
Abstract: Even though novel imaging techniques have been successful in studying brain structure and function, the measured biological signals are often contaminated by multiple sources of noise, arising due to e.g. head movements of the individual being scanned, limited spatial/temporal resolution, or other issues specific to each imaging technology. Data preprocessing (e.g. denoising) is therefore critical. Preprocessing pipelines have become increasingly complex over the years, but also more flexible, and this flexibility can have a significant …
abstract analysis arxiv brain cs.cv function head imaging impact movements multiple neuroimaging noise novel resolution sensitivity spatial stat.co statistical strategies studying temporal type
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