The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A distributed spatio-temporal EEG/MEG inverse solver
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
A Simplex Method for Function Minimization
Nelder, J. A., & Mead, R. (1965) · The Computer Journal · doi:10.1093/comjnl/7.4.308 · Cited by 28,905
Realistic conductivity geometry model of the human head for interpretation of neuromagnetic data
Hamalainen, M. S., & Sarvas, J. (1989) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.16463 · Cited by 989
Multiple Representations of the Body Within the Primary Somatosensory Cortex of Primates
Kaas, J. H., Nelson, R. J., Sur, M., Lin, C.-S., & Merzenich, M. M. (1979) · Science · doi:10.1126/science.107591 · Cited by 710
Sparse source imaging in electroencephalography with accurate field modeling
Ding, L., & He, B. (2008) · Human Brain Mapping · doi:10.1002/hbm.20448 · Cited by 131
Cited by
MEG: An Introduction to Methods
(2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195307238.001.0001 · Cited by 408
Electrophysiological Imaging of Brain Activity and Connectivity—Challenges and Opportunities
He, B., Yang, L., Wilke, C., & Yuan, H. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2139210 · Cited by 300
Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations
Gramfort, A., Strohmeier, D., Haueisen, J., Hämäläinen, M. S., & Kowalski, M. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.12.051 · Cited by 234
Self-citationSohrabpour, A., Lu, Y., Worrell, G., & He, B. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.064 · Cited by 89
“Spatio-temporal algorithms (Gramfort et al., 2013a; Ou et al., 2009) are important as the dynamics of the underlying brain sources captured by EEG/MEG has to be studied properly to better understand brain networks.”
BackgroundA spatiotemporal dynamic distributed solution to the MEG inverse problem
Lamus, C., Hämäläinen, M. S., Temereanca, S., Brown, E. N., & Purdon, P. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.020 · Cited by 71
Self-citation
Metadata
- Authors
- Ou, W., Hämäläinen, M. S., & Golland, P.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2009-02
- Volume
- 44
- Issue
- 3
- Pages
- 932-946
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2512603352
- Cited by
- 219
- References
- 4
- FWCI
- 6.66
- Type
- journal article
- Language
- en
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A distributed spatio-temporal EEG/MEG inverse solver. https://app.cochat.ai/papers/10.1016/j.neuroimage.2008.05.063
- The paper
- Ou, W., Hämäläinen, M. S., & Golland, P. (2009). A distributed spatio-temporal EEG/MEG inverse solver. NeuroImage. https://doi.org/10.1016/j.neuroimage.2008.05.063
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.
