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

@article{citeulike:5490144, 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 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.}, author = {Giove, Federico and Gili, Tommaso and Iacovella, Vittorio and Macaluso, Emiliano and Maraviglia, Bruno}, citeulike-article-id = {5490144}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.mri.2009.06.004}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0730725X09001696}, day = {19}, doi = {10.1016/j.mri.2009.06.004}, issn = {0730725X}, journal = {Magnetic Resonance Imaging}, keywords = {drift, fmri, functional-connectivity, noise, resting-state}, month = {August}, posted-at = {2009-08-21 21:04:55}, priority = {2}, title = {Images-based suppression of unwanted global signals in resting-state functional connectivity studies}, url = {http://dx.doi.org/10.1016/j.mri.2009.06.004}, year = {2009} }

TY - JOUR ID - citeulike:5490144 L3 - citeulike-article-id:5490144 N2 - 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. JF - Magnetic Resonance Imaging SN - 0730725X TI - Images-based suppression of unwanted global signals in resting-state functional connectivity studies KW - drift KW - fmri KW - functional-connectivity KW - noise KW - resting-state AU - Giove, Federico AU - Gili, Tommaso AU - Iacovella, Vittorio AU - Macaluso, Emiliano AU - Maraviglia, Bruno PY - 2009/08/19/ UR - http://dx.doi.org/10.1016/j.mri.2009.06.004 ER -