The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Demonstration of useful differences between magnetoencephalogram and electroencephalogram
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Citations
Cites
Cohen, D. (1972) · Science · doi:10.1126/science.175.4022.664 · Cited by 785
Self-citation
Cited by
Hämäläinen, M., Hari, R., Ilmoniemi, R. J., Knuutila, J., & Lounasmaa, O. V. (1993) · Reviews of Modern Physics · doi:10.1103/revmodphys.65.413 · Cited by 4,684
The teen brain: insights from neuroimaging
Giedd, J. N. (2008) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2008.01.007 · Cited by 775
Evidence for a hierarchy of predictions and prediction errors in human cortex
Wacongne, C., Labyt, E., van Wassenhove, V., Bekinschtein, T., Naccache, L., & Dehaene, S. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117807108 · Cited by 560
Next-generation probes, particles, and proteins for neural interfacing
Rivnay, J., Wang, H., Fenno, L., Deisseroth, K., & Malliaras, G. G. (2017) · Science Advances · doi:10.1126/sciadv.1601649 · Cited by 514
Lener, M. S., Niciu, M. J., Ballard, E. D., Park, M., Park, L. T., Nugent, A. C., & Zarate, C. A. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.05.005 · Cited by 468
Recording brain activities in unshielded Earth’s field with optically pumped atomic magnetometers
Zhang, R., Xiao, W., Ding, Y., Feng, Y., Peng, X., Shen, L., Sun, C., Wu, T., Wu, Y., Yang, Y., et al. (2020) · Science Advances · doi:10.1126/sciadv.aba8792 · Cited by 222
“Compared with its electric signal detection–based counterpart, i.e., scalp electroencephalography (EEG) (4, 5), MEG has a higher spatial resolution due to the nearly homogeneous magnetic permeability of biological tissues (6).”
BackgroundInfluentialQuantification of the benefit from integrating MEG and EEG data in minimum ℓ2-norm estimation
Molins, A., Stufflebeam, S. M., Brown, E. N., & Hämäläinen, M. S. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.05.064 · Cited by 192
Pitfalls in the dipolar model for the neocortical EEG sources
Riera, J. J., Ogawa, T., Goto, T., Sumiyoshi, A., Nonaka, H., Evans, A., Miyakawa, H., & Kawashima, R. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00098.2011 · Cited by 98
Advances in Electrophysiological Research
Kamarajan, C. (2015) · Alcohol Research: Current Reviews · doi:10.35946/arcr.v37.1.05 · Cited by 72
Magnetoencephalography Demonstrates Multiple Asynchronous Generators During Human Sleep Spindles
Dehghani, N., Cash, S. S., Rossetti, A. O., Chen, C. C., & Halgren, E. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00198.2010 · Cited by 66
Sensitivity of MEG and EEG to source orientation
Ahlfors, S. P., Han, J., Belliveau, J. W., & Hämäläinen, M. S. (2010) · Brain Topography · doi:10.1007/s10548-010-0154-x · Cited by 1
Metadata
- Authors
- Cohen, D., & Cuffin, B. N.
- Venue
- Electroencephalography and Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 1983-07
- Volume
- 56
- Issue
- 1
- Pages
- 38-51
- ISSN
- 0013-4694 (ISSN-L)
- OpenAlex
- W2072573795
- Cited by
- 300
- References
- 1
- FWCI
- 2.33
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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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.
