The DOI matches its Crossref record; 143 of the 143 references it cites were found in a registry or an index.
Variation in Reported Human Head Tissue Electrical Conductivity Values
Open accessAbstract
Electromagnetic source characterisation requires accurate volume conductor models representing head geometry and the electrical conductivity field. Head tissue conductivity is often assumed from previous literature, however, despite extensive research, measurements are inconsistent. A meta-analysis of reported human head electrical conductivity values was therefore conducted to determine significant variation and subsequent influential factors. Of 3121 identified publications spanning three databases, 56 papers were included in data extraction. Conductivity values were categorised according to tissue type, and recorded alongside methodology, measurement condition, current frequency, tissue temperature, participant pathology and age. We found variation in electrical conductivity of the whole-skull, the spongiform layer of the skull, isotropic, perpendicularly- and parallelly-oriented white matter (WM) and the brain-to-skull-conductivity ratio (BSCR) could be significantly attributed to a combination of differences in methodology and demographics. This large variation should be acknowledged, and care should be taken when creating volume conductor models, ideally constructing them on an individual basis, rather than assuming them from the literature. When personalised models are unavailable, it is suggested weighted average means from the current meta-analysis are used. Assigning conductivity as: 0.41 S/m for the scalp, 0.02 S/m for the whole skull, or when better modelled as a three-layer skull 0.048 S/m for the spongiform layer, 0.007 S/m for the inner compact and 0.005 S/m for the outer compact, as well as 1.71 S/m for the CSF, 0.47 S/m for the grey matter, 0.22 S/m for WM and 50.4 for the BSCR.
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Cited by
Boehler, C., Carli, S., Fadiga, L., Stieglitz, T., & Asplund, M. (2020) · Nature Protocols · doi:10.1038/s41596-020-0389-2 · Cited by 308
Bhattacharjee, S., Kashyap, R., Goodwill, A. M., O'Brien, B. A., Rapp, B., Oishi, K., Desmond, J. E., & Chen, S. H. A. (2022) · Brain Stimulation · doi:10.1016/j.brs.2021.11.018 · Cited by 80
“Since the conductivity of CSF is very high (1.71 S/m) compared to other tissue volumes like GM (0.47 S/m) and WM (0.22 S/m) [84], it is plausible that the greater regional (sulcal) accumulation of CSF volume inmenmight result in a preferential flow of current to the sulcal depths.”
BackgroundInfluentialRaben, H., Kämmerer, P. W., Bader, R., & van Rienen, U. (2019) · Applied Sciences · doi:10.3390/app9102160 · Cited by 34
White matter hyperintensities affect transcranial electrical stimulation in the aging brain
Indahlastari, A., Albizu, A., Boutzoukas, E. M., O’Shea, A., & Woods, A. J. (2021) · Brain Stimulation · doi:10.1016/j.brs.2020.11.009 · Cited by 14
Metadata
- Authors
- McCann, H., Pisano, G., & Beltrachini, L.
- Venue
- Brain Topography
- Published
- 2019-05-03
- Volume
- 32
- Issue
- 5
- Pages
- 825-858
- ISSN
- 0896-0267 (ISSN-L)
- 1573-6792
- OpenAlex
- W2951949976
- Cited by
- 293
- References
- 143
- FWCI
- 11.46
- Type
- journal article
- Language
- en
- Open access
- hybrid
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