Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 769

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Key role of coupling, delay, and noise in resting brain fluctuations

Open access
Deco, Gustavo, Jirsa, Viktor, McIntosh, A. R., Sporns, Olaf, Kötter, Rolf·2009·Proceedings of the National Academy of Sciences
DOI 10.1073/pnas.0901831106
Open this paper in CoChat — free account

Abstract

A growing body of neuroimaging research has documented that, in the absence of an explicit task, the brain shows temporally coherent activity. This so-called “resting state” activity or, more explicitly, the default-mode network, has been associated with daydreaming, free association, stream of consciousness, or inner rehearsal in humans, but similar patterns have also been found under anesthesia and in monkeys. Spatiotemporal activity patterns in the default-mode network are both complex and consistent, which raises the question whether they are the expression of an interesting cognitive architecture or the consequence of intrinsic network constraints. In numerical simulation, we studied the dynamics of a simplified cortical network using 38 noise-driven (Wilson–Cowan) oscillators, which in isolation remain just below their oscillatory threshold. Time delay coupling based on lengths and strengths of primate corticocortical pathways leads to the emergence of 2 sets of 40-Hz oscillators. The sets showed synchronization that was anticorrelated at <0.1 Hz across the sets in line with a wide range of recent experimental observations. Systematic variation of conduction velocity, coupling strength, and noise level indicate a high sensitivity of emerging synchrony as well as simulated blood flow blood oxygen level-dependent (BOLD) on the underlying parameter values. Optimal sensitivity was observed around conduction velocities of 1–2 m/s, with very weak coupling between oscillators. An additional finding was that the optimal noise level had a characteristic scale, indicating the presence of stochastic resonance, which allows the network dynamics to respond with high sensitivity to changes in diffuse feedback activity.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.0901831106

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 26

  1. 10.1126/science.273.5283.1868 · DOI · Paper page
  2. 10.1038/35094500 · DOI · Paper page
  3. 10.1073/pnas.0504136102 · DOI · Paper page
  4. 10.1038/nn.2177 · DOI · Paper page
  5. 10.1523/JNEUROSCI.1910-08.2008 · DOI · Paper page
  6. 10.1073/pnas.0701519104 · DOI · Paper page
  7. 10.1371/journal.pcbi.1000196 · DOI · Paper page
  8. 10.1385/NI:2:2:127 · DOI · Paper page
  9. 10.1073/pnas.0811168106 · DOI · Paper page
  10. 10.1098/rstb.2005.1625 · DOI
  11. 10.1098/rstb.2000.0548 · DOI
  12. 10.1006/nimg.2001.0978 · DOI · Paper page
  13. 10.1038/nrn2258 · DOI · Paper page
  14. 10.1103/PhysRevE.70.052903 · DOI
  15. 10.1103/PhysRevE.66.051917 · DOI · Paper page
  16. 10.1103/PhysRevLett.100.118703 · DOI · Paper page
  17. 10.1016/S1053-8119(03)00202-7 · DOI · Paper page
  18. 10.1162/089976600300014737 · DOI
  19. 10.1007/s11571-008-9044-2 · DOI
  20. 10.1098/rstb.2000.0553 · DOI
  21. 10.1016/S1388-2457(99)00059-0 · DOI
  22. 10.1016/S0167-2789(98)00294-2 · DOI
  23. 10.1103/PhysRevE.64.051110 · DOI
  24. 10.1098/rstb.2001.0908 · DOI · Paper page
  25. 10.1016/S0006-3495(72)86068-5 · DOI · Paper page
  26. 10.1136/jamia.2001.0080443 · DOI · Paper page

Cited by

See all 769

Metadata

Authors
Deco, G., Jirsa, V., McIntosh, A. R., Sporns, O., & Kötter, R.
Venue
Proceedings of the National Academy of Sciences
Publisher
Proceedings of the National Academy of Sciences
Published
2009-06-23
Volume
106
Issue
25
Pages
10302-10307
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
DOI
10.1073/pnas.0901831106
OpenAlex
W2116647777
Cited by
769
References
10
FWCI
17.97
Type
journal article
Language
en
Update notices
correction (2009-07-21)
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.