Disambiguating the role of blood flow and global signal with partial information decomposition

Nigel Colenbier, Frederik Van de Steen, Lucina Q Uddin, Russell A Poldrack, Vince D Calhoun, Daniele Marinazzo

Onderzoeksoutput: Articlepeer review

13 Citaten (Scopus)


Global signal (GS) is an ubiquitous construct in resting state functional magnetic resonance imaging (rs-fMRI), associated to nuisance, but containing by definition most of the neuronal signal. Global signal regression (GSR) effectively removes the impact of physiological noise and other artifacts, but at the same time it alters correlational patterns in unpredicted ways. Performing GSR taking into account the underlying physiology (mainly the blood arrival time) has been proven to be beneficial. From these observations we aimed to: 1) characterize the effect of GSR on network-level functional connectivity in a large dataset; 2) assess the complementary role of global signal and vessels; and 3) use the framework of partial information decomposition to further look into the joint dynamics of the global signal and vessels, and their respective influence on the dynamics of cortical areas. We observe that GSR affects intrinsic connectivity networks in the connectome in a non-uniform way. Furthermore, by estimating the predictive information of blood flow and the global signal using partial information decomposition, we observe that both signals are present in different amounts across intrinsic connectivity networks. Simulations showed that differences in blood arrival time can largely explain this phenomenon, while using hemodynamic and calcium mouse recordings we were able to confirm the presence of vascular effects, as calcium recordings lack hemodynamic information. With these results we confirm network-specific effects of GSR and the importance of taking blood flow into account for improving de-noising methods. Additionally, and beyond the mere issue of data denoising, we quantify the diverse and complementary effect of global and vessel BOLD signals on the dynamics of cortical areas.

Originele taal-2English
Pagina's (van-tot)116699
StatusPublished - jun 2020
Extern gepubliceerdJa

Bibliografische nota

Funding Information:
This research was supported by the Fund for Scientific Research-Flanders (FWO-V, grant FWO16-ASP-050 awarded to NC). The computational resources (Stevin Supercomputer Infrastructure) and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by Ghent University , FWO and the Flemish Government – department EWI .

Publisher Copyright:
© 2020 The Author(s)

Copyright 2020 Elsevier B.V., All rights reserved.


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