Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 May;38(5):2454-2465.
doi: 10.1002/hbm.23532. Epub 2017 Feb 2.

Dissociated patterns of anti-correlations with dorsal and ventral default-mode networks at rest

Jingyuan E Chen  1   2 , Gary H Glover  1 , Michael D Greicius  3 , Catie Chang  4
Affiliations

Dissociated patterns of anti-correlations with dorsal and ventral default-mode networks at rest

Jingyuan E Chen et al. Hum Brain Mapp. 2017 May.

Abstract

Previous studies of resting state functional connectivity have demonstrated that the default-mode network (DMN) is negatively correlated with a set of brain regions commonly activated during goal-directed tasks. However, the location and extent of anti-correlations are inconsistent across different studies, which has been posited to result largely from differences in whether or not global signal regression (GSR) was applied as a pre-processing step. Notably, coordinates of seed regions-of-interest defined within the posterior cingulate cortex (PCC)/precuneus, an area often employed to study functional connectivity of the DMN, have been inconsistent across studies. Taken together with recent observations that the DMN contains functionally heterogeneous subdivisions, it is presently unclear whether these seeds map to different DMN subnetworks, whose patterns of anti-correlation may differ. If so, then seed location may be a non-negligible factor that, in addition to differences in preprocessing steps, contributes to the inconsistencies reported among published studies regarding DMN correlations/anti-correlations. In this study, they examined anti-correlations of different subnetworks within the DMN during rest using both seed-based and point process analyses, and discovered that: (1) the ventral branch of the DMN (vDMN) yielded significantly weaker anti-correlations than that associated with the dorsal branch of the DMN (dDMN); (2) vDMN anti-correlations introduced by GSR were distinct from dDMN anti-correlations; (3) PCC/precuneus seeds employed by earlier studies mapped to different DMN subnetworks, which may explain some of the inconsistency (in addition to preprocessing steps) in the reported DMN anti-correlations. Hum Brain Mapp 38:2454-2465, 2017. © 2017 Wiley Periodicals, Inc.

Keywords: DMN; anti-correlation; resting state; seed-dependence.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Regions positively/negatively correlated with two PCC seeds (group‐level t map). “none”: preprocessing without correction of physiological noise (standard preprocessing in section “Data Preprocessing” without model‐based physiological noise correction (RETROICOR, RVHRCOR)); “phys”: standard preprocessing in section “Data Preprocessing”; “gsr”: global signal regression without any additional physiological noise correction (“none” + global signal regression). Yellow arrows highlight reduced positive correlations after “phys” compared with “none”. [Color figure can be viewed at http://wileyonlinelibrary.com]
Figure 2
Figure 2
Correspondence between the spatial patterns of SEED1‐/SEED2‐DMN and the v/dDMN reported by Stanford FINDlab. [Color figure can be viewed at http://wileyonlinelibrary.com]
Figure 3
Figure 3
Number of voxels negatively correlated with SEED1/SEED2 (correlation coefficient r < −0.2) under different preprocessing conditions. P values from paired‐t tests (# of voxels negatively correlated with SEED1 vs. SEED2) under “none/phys/gsr” are 1.8 * 10−6, 1.6 * 10−6, and 1.3 * 10−5, respectively.
Figure 4
Figure 4
(A) Regions positively/negatively correlated with PCC seeds reported by previous literature (Table I, group t‐score map), seed locations are highlighted in yellow, only model‐based physiological de‐noising is applied; (B) Spatial similarity (linear Pearson correlation between gray matter voxel intensity) between the DMN patterns derived in (A) and SEED1‐/SEED2‐DMN, mean and standard deviation estimated across all the subjects (correlation values are positive moving away from 0 in both directions); (C) Number of voxels anti‐correlated with PCC (correlation coefficient r < −0.2), mean and standard deviation estimated across all the subjects. [Color figure can be viewed at http://wileyonlinelibrary.com]
Figure 5
Figure 5
Regions positively/negatively correlated with PCC seeds reported by previous literature (Table I, group t‐score map), with GSR. [Color figure can be viewed at http://wileyonlinelibrary.com]
Figure 6
Figure 6
Different PCC seeds overlaid on regions significantly correlated with SEED1 [(a), blue]/SEED2 [(b), red]. The seeds used in [Murphy et al., 2009] and [Fox et al., 2009]1 are highlighted with magenta and orange arrows, respectively. [Color figure can be viewed at http://wileyonlinelibrary.com]
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Anderson JS, Druzgal TJ, Lopez‐Larson M, Jeong EK, Desai K, Yurgelun‐Todd D (2011): Network anticorrelations, global regression, and phase‐shifted soft tissue correction. Hum Brain Mapp 32:919–934. - PMC - PubMed
    1. Andrews‐Hanna JR (2012): The brain's default network and its adaptive role in internal mentation. Neuroscientist 18:251–270. - PMC - PubMed
    1. Andrews‐Hanna JR, Reidler JS, Sepulcre J, Poulin R, Buckner RL (2010): Functional‐anatomic fractionation of the brain's default network. Neuron 65:550–562. - PMC - PubMed
    1. Barttfeld P, Uhrig L, Sitt J, Sigman M, Jarraya B, Dehaene S (2015): Signature of consciousness in the dynamics of resting‐state brain activity (vol 112, pg 887, 2015). Proc Natl Acad Sci U S A 112:E5219–E5220. - PMC - PubMed
    1. Bernardi L, Salvucci F, Suardi R, Solda PL, Calciati A, Perlini S, Falcone C, Ricciardi L (1990): Evidence for an intrinsic mechanism regulating heart rate variability in the transplanted and the intact heart during submaximal dynamic exercise?. Cardiovasc Res 24:969–981. - PubMed

Publication types

LinkOut - more resources