Characteristics

Spatial Resolution
5-10 cm
Temporal Resolution
< 1 ms
Maturity
Established
Invasiveness
Non-invasive

Surface electrodes placed on the scalp, no penetration of skin or tissue

Summary
EEG
Tags
Electric
Electromagnetic

Details

The primary principle behind Electroencephalography (EEG) is the measurement of extracellular electric potentials generated by synchronous postsynaptic currents in cortical pyramidal neurons. These currents form current dipoles whose fields propagate through the brain, skull, and scalp—the volume conductor—and are detected non-invasively by surface electrodes. Typical scalp potentials range from 10 to 100 μV and are recorded using differential amplifiers with high input impedance (>1 GΩ) to minimize loading effects and preserve signal fidelity.

The physics of volume conduction in EEG is governed by the Poisson equation:
∇·(σ ∇V) = ∇·Jₛ
where V is the electric potential, σ is the tissue conductivity (≈ 0.33 S/m in brain tissue), and Jₛ represents primary current sources. For an ideal current dipole of moment p in a homogeneous medium, the potential at distance r is given by:
V(r) = (p·r) / (4π σ r³).
With dipole moments on the order of 10 nA·m and source–sensor distances of ∼1 cm, one predicts scalp potentials of ∼10 μV, in line with empirical observations.

In practice, EEG employs standardized electrode montages such as the 10–20 system, ranging from 19 up to 256 channels in high-density arrays. Signals are band-pass filtered between 0.1 and 100 Hz and sampled at 500–5000 Hz, yielding temporal resolution <1 ms. Spatial resolution is inherently limited by volume conduction and skull attenuation, typically ∼5–10 cm for conventional setups and improved to ∼2–5 cm with high-density recordings. Typical electrode impedances are maintained <5–20 kΩ to optimize signal-to-noise ratios.

Diagram

No diagram data available

Literature Review

TitleSpatial Res.Temporal Res.SubjectsSummary

The discovery of human electroencephalography (1929)

Historical account of the first human EEG recordings and identification of α-rhythms.

5-10 cm< 1 msHumansHistorical account of the first human EEG recordings and identification of α-rhythms.

High-resolution EEG mapping (2012)

Review of high-density EEG montages, advanced source localization and improved spatial precision.

2-5 cm< 1 msHumansReview of high-density EEG montages, advanced source localization and improved spatial precision.

EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics (2004)

Introduction of EEGLAB software for preprocessing, visualization, and time-frequency analysis of EEG data.

5-10 cm< 1 msHumansIntroduction of EEGLAB software for preprocessing, visualization, and time-frequency analysis of EEG data.