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MEG Source Localization/Evidence
Method evidence record

MEG Source Localization

Magnetoencephalography (MEG) source localization is the inverse problem of estimating where in the brain neural currents originate from magnetic field measurements at the scalp. Introduced by David Cohen in 1972, MEG offers superior temporal resolution (milliseconds) and spatial specificity compared to EEG, as magnetic fields are less distorted by tissue conductivity, enabling researchers to pinpoint neural activity with high precision.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Magnetoencephalography Source Localization
Taxonomic method record · process-pipeline / neuroimaging
  • Hauk, O., Friston, K. J., & Leff, A. (2019). Functional neuroimaging of language: understanding the complex relationships between localization and function. Journal of Neurolinguistics, 50, 236–250. · URL
  • Halgren, E., Marinkovic, K., & Chauvel, P. (2006). Generators of the late cognitive potentials in auditory and visual oddball tasks. Electroencephalography and Clinical Neurophysiology, 106(2), 156–164. · URL
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Curated claims

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyDynamic Causal Modelingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketeLORETAmachine-suggested · Relational suggestion, not evidence.Same method familyEvent-Related Potential Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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