The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
The salience network is responsible for switching between the default mode network and the central executive network: Replication from DCM
Open accessAbstract
With the advent of new analysis methods in neuroimaging that involve independent component analysis (ICA) and dynamic causal modelling (DCM), investigations have focused on measuring both the activity and connectivity of specific brain networks. In this study we combined DCM with spatial ICA to investigate network switching in the brain. Using time courses determined by ICA in our dynamic causal models, we focused on the dynamics of switching between the default mode network (DMN), the network which is active when the brain is not engaging in a specific task, and the central executive network (CEN), which is active when the brain is engaging in a task requiring attention. Previous work using Granger causality methods has shown that regions of the brain which respond to the degree of subjective salience of a stimulus, the salience network, are responsible for switching between the DMN and the CEN (Sridharan et al., 2008). In this work we apply DCM to ICA time courses representing these networks in resting state data. In order to test the repeatability of our work we applied this to two independent datasets. This work confirms that the salience network drives the switching between default mode and central executive networks and that our novel technique is repeatable.
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.
Integrity signals
Registry
Cites
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The SN has been implicated in switching between these networks and in processing self-relevant emotional information (Goulden et al., 2014; Kaiser et al., 2015b).”
From Understanding and predicting future relapse in depression from resting state functional connectivity and self-referential processing (2023) · cites this paper as Goulden et al., 2014
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Together, the VLPFC-anterior insula have been shown to form a fronto-insular functional node implicated in switching between salience and executive control networks (Goulden et al., 2014; Sridharan et al., 2008).”
From Neural correlates of emotion acceptance vs worry or suppression in generalized anxiety disorder (2017) · cites this paper as Goulden et al., 2014
Experimental — accuracy not yet measured
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
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
Independent component analysis: algorithms and applications
Hyvärinen, A., & Erkki Oja, A. (2000) · Neural Networks · doi:10.1016/s0893-6080(00)00026-5 · Cited by 8,926
Independent component analysis, A new concept?
Comon, P. (1994) · Signal Processing · doi:10.1016/0165-1684(94)90029-9 · Cited by 8,324
A fast diffeomorphic image registration algorithm
Ashburner, J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.007 · Cited by 8,122
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426
How do you feel? Interoception: The sense of the physiological condition of the body
Craig, A. D. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn894 · Cited by 6,006
Saliency, switching, attention and control: a network model of insula function
Menon, V., & Uddin, L. Q. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0262-0 · Cited by 5,592
Friston, K. J., Harrison, L., & Penny, W. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00202-7 · Cited by 4,583
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326
Large-scale brain networks and psychopathology: a unifying triple network model
Menon, V. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.08.003 · Cited by 4,168
Neural systems supporting interoceptive awareness
Critchley, H. D., Wiens, S., Rotshtein, P., Öhman, A., & Dolan, R. J. (2004) · Nature Neuroscience · doi:10.1038/nn1176 · Cited by 3,406 · cited 1×
“Anatomical connectivity within and outside the salience network has been studied previously (Craig, 2002; Critchley et al., 2004; Mesulam, 1998; Mesulam and Mufson, 1982; Mufson and Mesulam, 1982).”
BackgroundInvestigations into resting-state connectivity using independent component analysis
Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1634 · Cited by 3,398
Mesulam, M. (1998) · Brain · doi:10.1093/brain/121.6.1013 · Cited by 3,072
Sridharan, D., Levitin, D. J., & Menon, V. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800005105 · Cited by 2,892
Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems
Fox, M. D., Corbetta, M., Snyder, A. Z., Vincent, J. L., & Raichle, M. E. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604187103 · Cited by 2,101
Network modelling methods for FMRI
Smith, S. M., Miller, K. L., Salimi-Khorshidi, G., Webster, M., Beckmann, C. F., Nichols, T. E., Ramsey, J. D., & Woolrich, M. W. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.063 · Cited by 1,878
Decoding subject-driven cognitive states with whole-brain connectivity patterns
Shirer, W. R., Ryali, S., Rykhlevskaia, E., Menon, V., & Greicius, M. D. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr099 · Cited by 1,843
A Core System for the Implementation of Task Sets
Dosenbach, N. U. F., Visscher, K. M., Palmer, E. D., Miezin, F. M., Wenger, K. K., Kang, H. C., Burgund, E. D., Grimes, A. L., Schlaggar, B. L., & Petersen, S. E. (2006) · Neuron · doi:10.1016/j.neuron.2006.04.031 · Cited by 1,772
A whole brain fMRI atlas generated via spatially constrained spectral clustering
Craddock, R. C., James, G. A., Holtzheimer, P. E., Hu, X. P., & Mayberg, H. S. (2012) · Human Brain Mapping · doi:10.1002/hbm.21333 · Cited by 1,636
Bayesian model selection for group studies
Stephan, K. E., Penny, W. D., Daunizeau, J., Moran, R. J., & Friston, K. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.03.025 · Cited by 1,423
Resting-State fMRI: A Review of Methods and Clinical Applications
Lee, M. H., Smyser, C. D., & Shimony, J. S. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3263 · Cited by 1,195
Insula of the old world monkey. III: Efferent cortical output and comments on function
Mesulam, M. ‐., & Mufson, E. J. (1982) · Journal of Comparative Neurology · doi:10.1002/cne.902120104 · Cited by 1,013
Jafri, M. J., Pearlson, G. D., Stevens, M. C. G., & Calhoun, V. D. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.11.001 · Cited by 996
The Resting Brain: Unconstrained yet Reliable
Shehzad, Z. E., Kelly, C. A. M., Reiss, P. T., Gee, D. G., Gotimer, K., Uddin, L. Q., Lee, S. H., Margulies, D. S., Roy, A. K., Biswal, B. B., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn256 · Cited by 948
Comparing dynamic causal models.
Penny, W. D., Stephan, K. E., Mechelli, A., & Friston, K. J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.026 · Cited by 848
Comparing families of dynamic causal models
Penny, W. D., Stephan, K. E., Daunizeau, J., Rosa, M. J., Friston, K. J., Schofield, T. M., & Leff, A. P. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000709 · Cited by 688
Bayesian model selection for group studies — Revisited
Rigoux, L., Stephan, K. E., Friston, K. J., & Jean Daunizeau, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.065 · Cited by 659
Salience network integrity predicts default mode network function after traumatic brain injury
Bonnelle, V., Ham, T. E., Leech, R., Kinnunen, K. M., Mehta, M. A., Greenwood, R. J., & Sharp, D. J. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113455109 · Cited by 606
Insula of the old world monkey. II: Afferent cortical input and comments on the claustrum
Mufson, E. J., & Mesulam, M. ‐. (1982) · Journal of Comparative Neurology · doi:10.1002/cne.902120103 · Cited by 559
Uddin, L. Q., Supekar, K. S., Ryali, S., & Menon, V. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.4465-11.2011 · Cited by 520
Intuition and autism: a possible role for Von Economo neurons
Allman, J. M., Watson, K. K., Tetreault, N. A., & Hakeem, A. Y. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.06.008 · Cited by 484
Nonlinear dynamic causal models for fMRI
Stephan, K. E., Kasper, L., Harrison, L. M., Daunizeau, J., den Ouden, H. E. M., Breakspear, M., & Friston, K. J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.04.262 · Cited by 416
Manoliu, A., Riedl, V., Zherdin, A., Mühlau, M., Schwerthöffer, D., Scherr, M., Peters, H., Zimmer, C., Förstl, H., Bäuml, J., et al. (2013) · Schizophrenia Bulletin · doi:10.1093/schbul/sbt037 · Cited by 378
Changes in the interaction of resting-state neural networks from adolescence to adulthood
Stevens, M. C., Pearlson, G. D., & Calhoun, V. D. (2009) · Human Brain Mapping · doi:10.1002/hbm.20673 · Cited by 256
White, T. P., Joseph, V., Francis, S. T., & Liddle, P. F. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2010.07.020 · Cited by 238
Reduced specificity of functional connectivity in the aging brain during task performance
Geerligs, L., Maurits, N. M., Renken, R. J., & Lorist, M. M. (2012) · Human Brain Mapping · doi:10.1002/hbm.22175 · Cited by 223
Generalised filtering and stochastic DCM for fMRI
Baojuan Li, A., Jean Daunizeau, A., Stephan, K. E., Penny, W. D., Hu, D., & Friston, K. J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.085 · Cited by 192
Semiblind spatial ICA of fMRI using spatial constraints
Lin, Q., Liu, J., Zheng, Y., Liang, H., & Calhoun, V. D. (2009) · Human Brain Mapping · doi:10.1002/hbm.20919 · Cited by 177
Yu, Q., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Rachakonda, S., He, H., Gruner, W. E., Pearlson, G. D., Kiehl, K. A., & Calhoun, V. D. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025423 · Cited by 148
Dendritic architecture of the von Economo neurons
Watson, K. K., Jones, T., & Allman, J. M. (2006) · Neuroscience · doi:10.1016/j.neuroscience.2006.04.084 · Cited by 141
Functional network connectivity during rest and task conditions: A comparative study
Arbabshirani, M. R., Havlíček, M., Kiehl, K. A., Pearlson, G. D., & Calhoun, V. D. (2012) · Human Brain Mapping · doi:10.1002/hbm.22118 · Cited by 120
Stochastic dynamic causal modelling of fMRI data: Should we care about neural noise?
Jean Daunizeau, A., Stephan, K. E., & Friston, K. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.061 · Cited by 114
Chou, Y., Panych, L. P., Dickey, C. C., Petrella, J. R., & Chen, N. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2894 · Cited by 113
Yu, Q., Plis, S., Erhardt, E. B., Allen, E. A., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Kiehl, K. A., Pearlson, G. D., & Calhoun, V. D. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00103 · Cited by 90
Arbabshirani, M. R., & Calhoun, V. D. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091096 · Cited by 25
Flagged first, then by citations
Cited by
Sorted by citations
Salience processing and insular cortical function and dysfunction
Uddin, L. Q. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3857 · Cited by 2,083
Resting-state functional connectivity in major depressive disorder: A review
Mulders, P. C., van Eijndhoven, P. F., Schene, A. H., Beckmann, C. F., & Tendolkar, I. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.07.014 · Cited by 884
Zaccaro, A., Piarulli, A., Laurino, M., Garbella, E., Menicucci, D., Neri, B., & Gemignani, A. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00353 · Cited by 820
Schurz, M., Raduà, J., Tholen, M. G., Maliske, L., Margulies, D. S., Mars, R. B., Sallet, J., & Kanske, P. (2020) · Psychological Bulletin · doi:10.1037/bul0000303 · Cited by 702
“…found between the ventral attention network and the DMN, which is considered to reflect the former down-regulating the latter to reduce interference from task-unrelated processes (Goulden et al., 2014; Trautwein, Singer, & Kanske, 2016; Wen, Liu, Yao, & Ding, 2013; see also Anticevic et al., 2012).”
BackgroundA guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI
Zeidman, P., Jafarian, A., Corbin, N., Seghier, M. L., Razi, A., Price, C. J., & Friston, K. J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.06.031 · Cited by 369
“This means that stochastic DCM can be used to model resting state (e.g. Bastos-Leite et al., 2014; Goulden et al., 2014; Dirkx et al., 2016) as well as task-based fMRI studies where endogenous fluctuations are important (e.”
Method
Metadata
- Authors
- Goulden, N., Khusnulina, A., Davis, N. J., Bracewell, R. M., Bokde, A. L., McNulty, J. P., & Mullins, P. G.
- Affiliations
- Bangor University (GB)
- Trinity College Dublin (IE)
- University College Dublin (IE)
- Corresponding author
- Goulden, Nia
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 99
- Pages
- 180-190
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2066208486
- Cited by
- 810
- References
- 47
- Citations by year
- 2026: 65 · 2025: 101 · 2024: 83 · 2023: 85 · 2022: 79 · 2021: 112 · 2020: 67 · 2019: 58 · 2018: 62 · 2017: 34 · 2016: 37 · 2015: 20 · 2014: 6
- FWCI
- 18.03
- Type
- journal article
- Language
- en
- Open access
- green
- e-space.mmu.ac.uk
- Licence
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- e-space (Manchester Metropolitan University) (submittedVersion, other-oa)
- Funders
- European Regional Development Fund
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- salience network, default mode network, frontoparietal network, network switching, dynamic causal modeling, independent component analysis, resting state, Granger causality, reproducibility, brain connectivity
- MeSH terms
- Adult, Bayes Theorem, Brain Mapping, Data Interpretation, Statistical, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Models, Neurological, Nerve Net, Rest, Stochastic Processes, Executive Function
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
