The first recording of the electric field of the human
brain was made by the German psychiatrist Hans Berger in 1924 in Jena.
He gave this recording the name electroencephalogram (EEG).
(Berger, 1929).(From 1929 to 1938 he published 20 scientific papers on
the EEG under the same title "Über das Elektroenkephalogram des
Menschen".)
spontaneous activity,
evoked potentials, and
bioelectric events produced by single
neurons.
Spontaneous
activity is measured on the scalp or on the brain and is called the
electroencephalogram. The amplitude of the EEG is about 100 µV when
measured on the scalp, and about 1-2 mV when measured on the surface of
the brain. The bandwidth of this signal is from under 1 Hz to about 50
Hz, as demonstrated in Figure 13.1. As the phrase "spontaneous activity"
implies, this activity goes on continuously in the living individual.
Evoked potentials
are those components of the EEG that arise in response to a stimulus
(which may be electric, auditory, visual, etc.) Such signals are usually
below the noise level and thus not readily distinguished, and one must
use a train of stimuli and signal averaging to improve the
signal-to-noise ratio.
Single-neuron
behavior can be examined through the use of microelectrodes which impale
the cells of interest. Through studies of the single cell, one hopes to
build models of cell networks that will reflect actual tissue
properties.
PRECONDITIONS:
SOURCE: Distribution of impressed current source elements
i (volume source)
CONDUCTOR: Finite, inhomogeneous
The number of nerve cells in the brain has been estimated
to be on the order of 1011. Cortical neurons are strongly
interconnected. Here the surface of a single neuron may be covered with
1,000-100,000 synapses (Nunez, 1981). The electric behavior of the
neuron corresponds to the description of excitable cells introduced in
the earlier chapters. The resting voltage is around -70 mV, and the peak
of the action potential is positive. The amplitude of the nerve impulse
is about 100 mV; it lasts about 1 ms.
The bioelectric impressed
current density
i
associated with neuronal activation produces an electric field, which
can be measured on the surface of the head or directly on the brain
tissue. The electric field was described by Equation 7.10 for a finite
inhomogeneous model. This equation is repeated here:
  | (13.01) |
While for most
excitable tissue the basis for the impressed current density
i is the propagating
action potential, for the EEG it appears to arise from the action of a
chemical transmitter on postsynaptic cortical neurons. The action causes
localized depolarization - that is, an excitatory postsynaptic
potential (EPSP) - or hyperpolarization - that is, an inhibitory
postsynaptic potential (IPSP). The result in either case is a spatially
distributed discontinuity in the function σΦ (i.e., σoΦo
- σiΦi) which, as pointed out in Equation 8.28,
evaluates a double layer source in the membranes of all cells. This will
be zero for resting cells; however, when a cell is active by any of the
aforementioned processes (in which case Φo - Φi =
Vm varies over a cell surface), a nonzero primary
source will result.
For distant field points
the double layer can be summed up vectorially, yielding a net dipole for
each active cell. Since neural tissue is generally composed of a very
large number of small, densely packed cells, the discussion in Section
8.5 applies, leading to the identification of a continuous volume source
distribution
i which
appears in Equations 7.6 and 7.10.
Although in principle the
EEG can be found from the evaluation of Equation 7.10, the complexity of
brain structure and its electrophysiological behavior have thus far
precluded the evaluation of the source function
i. Consequently, the
quantitative study of the EEG differs from that of the ECG or EMG, in
which it is possible to evaluate the source function. Under these
conditions the quantitative EEG is based on a statistical treatment,
whereas the clinical EEG is largely empirical..
The internationally standardized 10-20 system is
usually employed to record the spontaneous EEG. In this system 21
electrodes are located on the surface of the scalp, as shown in Figure
13.2A and B. The positions are determined as follows: Reference points
are nasion, which is the delve at the top of the nose, level with
the eyes; and inion, which is the bony lump at the base of the
skull on the midline at the back of the head. From these points, the
skull perimeters are measured in the transverse and median planes.
Electrode locations are determined by dividing these perimeters into 10%
and 20% intervals. Three other electrodes are placed on each side
equidistant from the neighboring points, as shown in Figure 13.2B (Jasper,
1958; Cooper, Osselton, and Shaw, 1969).

In addition to the 21
electrodes of the international 10-20 system, intermediate 10% electrode
positions are also used. The locations and nomenclature of these
electrodes are standardized by the American Electroencephalographic
Society (Sharbrough et al., 1991; see Figure 13.2C). In this
recommendation, four electrodes have different names compared to the
10-20 system; these are T
7, T
8, P
7, and
P
8. These electrodes are drawn black with white text in the
figure.

Besides the international
10-20 system, many other electrode systems exist for recording electric
potentials on the scalp. The
Queen Square system of electrode
placement has been proposed as a standard in recording the pattern of
evoked potentials in clinical testings (Blumhardt et al., 1977).

Bipolar or unipolar
electrodes can be used in the EEG measurement. In the first method the
potential difference between a pair of electrodes is measured. In the
latter method the potential of each electrode is compared either to a
neutral electrode or to the average of all electrodes (see Figure 13.3).

The most recent guidelines
for EEG-recording are published in (Gilmore, 1994).

Fig. 13.2. The international 10-20 system seen from (A) left and
(B) above the head. A = Ear lobe,
C = central, Pg = nasopharyngeal,
P = parietal, F = frontal,
Fp = frontal polar, O = occipital.
(C) Location and nomenclature of the intermediate 10% electrodes, as
standardized by the American Electroencephalographic Society. (Redrawn
from Sharbrough, 1991.).
Fig. 13.3. (A) Bipolar and (B) unipolar measurements. Note that
the waveform of the EEG depends on the measurement location.
Rush and Driscoll (1969) calculated the sensitivity
distribution of bipolar surface electrodes on the scalp based on a
concentric spherical head model. They published the results in the form
of lead field isopotential lines. The direction of the lead field
current density - that is, the direction of the sensitivity - is a
negative gradient of the potential field. This is not immediately
evident from such a display.
Puikkonen and Malmivuo
(1987) recalculated the sensitivity distribution of EEG electrodes with
the same model as Rush and Driscoll, but they presented the results with
the lead field current flow lines instead of the isopotential lines of
the lead field. This display is illustrative since it is easy to find
the direction of the sensitivity from the lead field current flow lines.
Also the magnitude of the sensitivity can be seen from the density of
the flow lines. A minor problem in this display is that because the lead
field current distributes both in the plane of the illustration as well
as in the plane normal to it, part of the flow lines must break in
order to illustrate correctly the current density with the flow line
density in a three-dimensional problem. Suihko, Malmivuo and Eskola
(1993) calculated further the isosensitivity lines and the half-sensitivity
volume for the electric leads. As discussed in Section 11.6.1, the
concept half-sensitivity volume denotes the area where the lead field
current density is at least one half from its maximum value. Thus this
concept is a figure of merit to describe how concentrated the
sensitivity distribution of the lead is. As discussed in Section 11.6.6,
when the conductivity is isotropic, as it is in this head model, the
isosensitivity lines equal to the isofield lines of the (reciprocal)
electric field. If the lead would exhibit such a symmetry that adjacent
isopotential surfaces would be a constant distance apart, the
isosensitivity lines would coincide with the isopotential lines. That is
not the case in the leads of Figure 13.4.
Figure 13.4 displays the
lead field current flow lines, isosensitivity lines and half-sensitivity
volumes for the spherical head model with the electrodes located within
180°, 120°, 60°, 40°, and 20° angles. Note that in each case the two
electrodes are connected with 10 continuous lead field flow lines.
Between them are three flow lines which are broken from the center,
indicating that the lead field current distributes also in the plane
normal to the paper. The figure shows clearly the strong effect of the
poorly conducting skull to the lead field. Though in a homogeneous model
the sensitivity would be highly concentrated at the electrodes, in the
180° case the skull allows the sensitivity to be very homogeneously
distributed throughout the brain region. The closer the electrodes are
to each other, the smaller the part of the sensitivity that locates
within the brain region. Locating the electrodes closer and closer to
each other causes the lead field current to flow more and more within
the skin region, decreasing the sensitivity to the brain region and
increasing the noise.
Fig. 13.4. Sensitivity distribution of EEG electrodes in the
spherical head model. The figure illustrates the lead field current flow
lines (thin solid lines), isosensitivity lines (dotted lines) and the
half-sensitivity volumes (shaded region). The sensitivity distribution
is in the direction of the flow lines, and its magnitude is proportional
to the density of the flow lines. The lead pair are designated by small
arrows at the surface of the scalp and are separated by an angle of
180°, 120°, 60°, 40°, and 20° shown at the top of each figure.
From the EEG signal it is possible to differentiate alpha
(α), beta (β), delta (δ), and theta (Θ) waves as well as spikes
associated with epilepsy. An example of each waveform is given in Figure
13.5.
The alpha waves have the
frequency spectrum of 8-13 Hz and can be measured from the occipital
region in an awake person when the eyes are closed. The frequency band
of the beta waves is 13-30 Hz; these are detectable over the parietal
and frontal lobes. The delta waves have the frequency range of 0.5-4 Hz
and are detectable in infants and sleeping adults. The theta waves have
the frequency range of 4-8 Hz and are obtained from children and
sleeping adults..
Fig. 13.5. Some examples of EEG waves.
The EEG signal is closely related to the level of
consciousness of the person. As the activity increases, the EEG shifts
to higher dominating frequency and lower amplitude. When the eyes are
closed, the alpha waves begin to dominate the EEG. When the person falls
asleep, the dominant EEG frequency decreases. In a certain phase of
sleep, rapid eye movement called (REM) sleep, the person dreams and has
active movements of the eyes, which can be seen as a characteristic EEG
signal. In deep sleep, the EEG has large and slow deflections called
delta waves. No cerebral activity can be detected from a patient with
complete cerebral death. Examples of the above-mentioned waveforms are
given in Figure 13.6..
Fig. 13.6. EEG activity is dependent on the level of
consciousness.
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