PMID- 32179104
OWN - NLM
STAT- MEDLINE
DCOM- 20210318
LR  - 20210929
IS  - 1095-9572 (Electronic)
IS  - 1053-8119 (Linking)
VI  - 213
DP  - 2020 Jun
TI  - Disambiguating the role of blood flow and global signal with partial information 
      decomposition.
PG  - 116699
LID - S1053-8119(20)30186-5 [pii]
LID - 10.1016/j.neuroimage.2020.116699 [doi]
AB  - 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.
CI  - Copyright (c) 2020 The Author(s). Published by Elsevier Inc. All rights reserved.
FAU - Colenbier, Nigel
AU  - Colenbier N
AD  - Ghent University, Ghent, Belgium. Electronic address: nigel.colenbier@ugent.be.
FAU - Van de Steen, Frederik
AU  - Van de Steen F
AD  - Ghent University, Ghent, Belgium.
FAU - Uddin, Lucina Q
AU  - Uddin LQ
AD  - Department of Psychology, University of Miami, United States.
FAU - Poldrack, Russell A
AU  - Poldrack RA
AD  - Stanford University, Stanford, United States.
FAU - Calhoun, Vince D
AU  - Calhoun VD
AD  - Department of Electrical and Computer Engineering, University of New Mexico, 
      Albuquerque, NM, United States; The Mind Research Network, Albuquerque, NM, 
      United States.
FAU - Marinazzo, Daniele
AU  - Marinazzo D
AD  - Ghent University, Ghent, Belgium.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20200314
PL  - United States
TA  - Neuroimage
JT  - NeuroImage
JID - 9215515
SB  - IM
MH  - *Artifacts
MH  - Brain/*physiology
MH  - Cerebrovascular Circulation/*physiology
MH  - Connectome/*methods
MH  - Humans
MH  - Image Processing, Computer-Assisted/*methods
MH  - Magnetic Resonance Imaging/methods
EDAT- 2020/03/18 06:00
MHDA- 2021/03/19 06:00
CRDT- 2020/03/18 06:00
PHST- 2019/08/29 00:00 [received]
PHST- 2020/02/24 00:00 [revised]
PHST- 2020/02/29 00:00 [accepted]
PHST- 2020/03/18 06:00 [pubmed]
PHST- 2021/03/19 06:00 [medline]
PHST- 2020/03/18 06:00 [entrez]
AID - S1053-8119(20)30186-5 [pii]
AID - 10.1016/j.neuroimage.2020.116699 [doi]
PST - ppublish
SO  - Neuroimage. 2020 Jun;213:116699. doi: 10.1016/j.neuroimage.2020.116699. Epub 2020 
      Mar 14.