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 oil 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 oil 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. (C) 2009 Elsevier Inc. All rights reserved.

Images-based suppression of unwanted global signals in resting-state functional connectivity studies / Giove, Federico; Tommaso, Gili; Vittorio, Iacovella; Emiliano, Macaluso; Maraviglia, Bruno. - In: MAGNETIC RESONANCE IMAGING. - ISSN 0730-725X. - STAMPA. - 27:8(2009), pp. 1058-1064. (Intervento presentato al convegno International School on Magnetic Resonance and Brain Function tenutosi a Erice, ITALY nel MAY 18-25, 2008) [10.1016/j.mri.2009.06.004].

Images-based suppression of unwanted global signals in resting-state functional connectivity studies

GIOVE, FEDERICO;MARAVIGLIA, Bruno
2009

Abstract

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 oil 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 oil 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. (C) 2009 Elsevier Inc. All rights reserved.
2009
fmri; functional connectivity; global signals; physiological noise; resting state
01 Pubblicazione su rivista::01a Articolo in rivista
Images-based suppression of unwanted global signals in resting-state functional connectivity studies / Giove, Federico; Tommaso, Gili; Vittorio, Iacovella; Emiliano, Macaluso; Maraviglia, Bruno. - In: MAGNETIC RESONANCE IMAGING. - ISSN 0730-725X. - STAMPA. - 27:8(2009), pp. 1058-1064. (Intervento presentato al convegno International School on Magnetic Resonance and Brain Function tenutosi a Erice, ITALY nel MAY 18-25, 2008) [10.1016/j.mri.2009.06.004].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/363033
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