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Can I read Images-based Suppression of Unwanted Global Signals in Resting-state Functional Connectivity Studies on EtoBox?
Images-based Suppression of Unwanted Global Signals in Resting-state Functional Connectivity Studies by Federico Giove; Tommaso Gili; Vittorio Iacovella; Emiliano Macaluso; Bruno Maraviglia is a Medicine article available to read on EtoBox.
What is Images-based Suppression of Unwanted Global Signals in Resting-state Functional Connectivity Studies about?
Correlated fluctuations of low-frequency fMRI signal have been suggested to reflect functional connectivity among the involved regions. However, large-scale correlations are especially prone to spurious global modulations induced by coherent physiological noise. Cardiac and respiratory rhythms are the most offending component, and a tailored preprocessing is needed in order to reduce their impact. Several approaches have been proposed in the literature, generally based on the use of physiological recordings acquired during the functional scans, or on the extraction of the relevant information directly from the images. In this paper, the performances of the denoising approach based on general linear fitting of global signals of noninterest extracted from the functional scans were assessed. Results suggested that this approach is sufficiently accurate for the preprocessing of functional connectivity data.
Who reads Images-based Suppression of Unwanted Global Signals in Resting-state Functional Connectivity Studies?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Federico Giove; Tommaso Gili; Vittorio Iacovella; Emiliano Macaluso; Bruno Maraviglia
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0730-725X)
- Published
- 2009
- Language
- EN
- Field
- Medicine (Health Sciences)