Brain TopographyNeurosciencePeer-reviewed journal article
Variation in reported human head tissue electrical conductivity values
Abstract
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 3,121 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. Specifically, whole-skull conductivity varied significantly with the employed method, whilst the spongiform layer differed with measurement condition. Grey matter conductivity fluctuated according to method and pathology, whilst isotropic WM differed according to all of the independent variables. Finally, the BSCR significantly varied with participants age. The reported results provided evidence for head conductivity inconsistencies being dependent on methodology and demographics, supporting the hypothesis that conductivity values should not be assumed from the literature.
- organism: human
- assay: electronic health records
- research focus: benchmarking
- approach: statistical model
- Citations
- 296
- FWCI
- 1.63
- Field percentile
- top 18%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Multimodal electrical impedance tomography and electroencephalography imaging: Does higher skull conductivity resolution in EIT imaging improve accuracy of EEG source localization?
Ville Rimpiläinen, Alexandra Koulouri·bioRxiv·Aug 5, 2024
- A four-point measurement probe for brain tissue conductivity and permittivity characterization
Lucas Poßner, Lydia Seebeck, … Konstantin Weise·bioRxiv·Apr 29, 2021
- Direct Reconstruction of DC Cortical Conductivity from Large-Scale Electron Microscopy Data
Gregory M. Noetscher, Alton Miles, … Sergey N Makaroff·bioRxiv·Mar 30, 2026
- A 4-pole Theory-Based Compensation Method using Multiple Loads for Impedance Spectroscopy of Porcine Brain Tissue
Moritz Gerber, Markus Symmank, … Konstantin Weise·International Workshop on Impedance Spectroscopy (IWIS)Peer-reviewed·Sep 23, 2025
- Relative Electrical Conductivity Measurements Of The Rat Frontal Cortex And The Influence On Current Source Density
Yevgenij Yanovsky, Jurij Brankačk·bioRxiv·Apr 18, 2017
- Incorporating and compensating cerebrospinal fluid in surface-based forward models of magneto- and electroencephalography
Matti Stenroos, Aapo Nummenmaa·bioRxiv·Jun 24, 2016