The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders
Open accessOverview
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.
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
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.593 · Cited by 20,391
Modularity and community structure in networks
Newman, M. E. J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601602103 · Cited by 12,256
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
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
Methods to detect, characterize, and remove motion artifact in resting state fMRI
Power, J. D., Mitra, A., Laumann, T. O., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.048 · Cited by 3,748
Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684
Skill formation and the economics of investing in disadvantaged children
Heckman, J. J. (2006) · Science · doi:10.1126/science.1128898 · Cited by 3,559
Cited by
Berridge, K. C., & Kringelbach, M. L. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.018 · Cited by 1,730
Self-citationTractography-based connectomes are dominated by false-positive connections
Maier-Hein, K. H., Neher, P., Houde, J.-C., Côté, M.-A., Garyfallidis, E., Zhong, J., Chamberland, M., Yeh, F.-C., Lin, Y.-C., Ji, Q., et al. (2016) · doi:10.1101/084137 · Cited by 1,376
Machine Learning Approaches for Clinical Psychology and Psychiatry
Dwyer, D. B., Falkai, P., & Koutsouleris, N. (2018) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032816-045037 · Cited by 966
Burt, J. B., Demirtaş, M., Eckner, W. J., Navejar, N. M., Ji, J. L., Martin, W. J., Bernacchia, A., Anticevic, A., & Murray, J. D. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0195-0 · Cited by 657
Rethinking segregation and integration: contributions of whole-brain modelling
Deco, G., Tononi, G., Boly, M., & Kringelbach, M. L. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn3963 · Cited by 658
Self-citationAllostatic Self-efficacy: A Metacognitive Theory of Dyshomeostasis-Induced Fatigue and Depression
Stephan, K. E., Manjaly, Z. M., Mathys, C. D., Weber, L. A. E., Paliwal, S., Gard, T., Tittgemeyer, M., Fleming, S. M., Haker, H., Seth, A. K., et al. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00550 · Cited by 437
“…the future, this may be overcome by ongoing efforts to turn BNMs into fully generative models, with priors for different types of parameters, and importing advanced methods for model inversion from other approaches (for a discussion of this trend, Deco and Kringelbach, 2014; Stephan et al., 2015).”
MethodCheng, W., Rolls, E. T., Qiu, J., Liu, W., Tang, Y., Huang, C.-C., Wang, X., Zhang, J., Lin, W., Zheng, L., et al. (2016) · Brain · doi:10.1093/brain/aww255 · Cited by 294
Cheng, W., Rolls, E. T., Ruan, H., & Feng, J. (2018) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2018.1941 · Cited by 291
Roberts, J. A., Gollo, L. L., Abeysuriya, R. G., Roberts, G., Mitchell, P. B., Woolrich, M. W., & Breakspear, M. (2019) · Nature Communications · doi:10.1038/s41467-019-08999-0 · Cited by 264
Atasoy, S., Roseman, L., Kaelen, M., Kringelbach, M. L., Deco, G., & Carhart-Harris, R. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-17546-0 · Cited by 214
Self-citationFrom maps to multi-dimensional network mechanisms of mental disorders
Braun, U., Schaefer, A., Betzel, R. F., Tost, H., Meyer-Lindenberg, A., & Bassett, D. S. (2018) · Neuron · doi:10.1016/j.neuron.2017.11.007 · Cited by 177
Translational perspectives for computational neuroimaging
Stephan, K. E., Iglesias, S., Heinzle, J., & Diaconescu, A. O. (2015) · Neuron · doi:10.1016/j.neuron.2015.07.008 · Cited by 169
Charting the landscape of priority problems in psychiatry, part 1: classification and diagnosis
Stephan, K. E., Bach, D. R., Fletcher, P. C., Flint, J., Frank, M. J., Friston, K. J., Heinz, A., Huys, Q. J. M., Owen, M. J., Binder, E. B., et al. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00361-2 · Cited by 180
Revisiting the global workspace orchestrating the hierarchical organization of the human brain
Deco, G., Vidaurre, D., & Kringelbach, M. L. (2021) · Nature Human Behaviour · doi:10.1038/s41562-020-01003-6 · Cited by 162
Self-citationTAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry
Frässle, S., Aponte, E. A., Bollmann, S., Brodersen, K. H., Do, C. T., Harrison, O. K., Harrison, S. J., Heinzle, J., Iglesias, S., Kasper, L., et al. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.680811 · Cited by 169
Stark, E. A., Parsons, C. E., Van Hartevelt, T. J., Charquero-Ballester, M., McManners, H., Ehlers, A., Stein, A., & Kringelbach, M. L. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.07.007 · Cited by 152
Harmonic brain modes: a unifying framework for linking space and time in brain dynamics
Atasoy, S., Deco, G., Kringelbach, M. L., & Pearson, J. (2018) · The Neuroscientist · doi:10.1177/1073858417728032 · Cited by 124
Self-citationMillan, M. J., Goodwin, G. M., Meyer-Lindenberg, A., & Ove Ögren, S. (2015) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2015.01.016 · Cited by 132
Turbulent-like Dynamics in the Human Brain
Deco, G., & Kringelbach, M. L. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108471 · Cited by 113
Self-citationKringelbach, M. L., Perl, Y. S., Tagliazucchi, E., & Deco, G. (2023) · Science Advances · doi:10.1126/sciadv.ade6049 · Cited by 105
Self-citationNaik, S., Banerjee, A., Bapi, R. S., Deco, G., & Roy, D. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.04.007 · Cited by 89
Self-citationOpportunities and Challenges for Psychiatry in the Connectomic Era
Fornito, A., Bullmore, E. T., & Zalesky, A. (2017) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.08.003 · Cited by 74
Charting the landscape of priority problems in psychiatry, part 2: pathogenesis and aetiology
Stephan, K. E., Binder, E. B., Breakspear, M., Dayan, P., Johnstone, E. C., Meyer-Lindenberg, A., Schnyder, U., Wang, X.-J., Bach, D. R., Fletcher, P. C., et al. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00360-0 · Cited by 64
A synergetic turn in cognitive neuroscience of brain diseases
Ibanez, A., Kringelbach, M. L., & Deco, G. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.12.006 · Cited by 65
Self-citationThe pleasure of food: Underlying brain mechanisms of eating and other pleasures
Kringelbach, M. L. (2015) · Flavour · doi:10.1186/s13411-014-0029-2 · Cited by 62
Self-citationAmorim, L., Magalhães, R., Coelho, A., Moreira, P. S., Portugal-Nunes, C., Castanho, T. C., Marques, P., Sousa, N., & Santos, N. C. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00375 · Cited by 47
Higher and deeper: Bringing layer fMRI to association cortex
Finn, E. S., Huber, L., & Bandettini, P. A. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101930 · Cited by 47
Intrinsic timescales and predictive allostatic interoception in brain health and disease
Ibanez, A., & Northoff, G. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105510 · Cited by 36
Bathelt, J., Barnes, J., Raymond, F. L., Baker, K., & Astle, D. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx027 · Cited by 15
Metadata
- Authors
- Deco, G., & Kringelbach, M. L.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2014-12
- Volume
- 84
- Issue
- 5
- Pages
- 892-905
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2000619457
- Cited by
- 410
- References
- 39
- FWCI
- 16.51
- Type
- journal article
- Language
- en
- Open access
- bronze
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.
