This unit covers Descriptions of most commonly employed biofeedback modalities: Electrodermal activity (III-A), Sources of artifact (III-B), and Structure and function of the autonomic nervous
system (V-A).
Students completing this unit will be able to discuss:
A clinician can choose between two exosomatic EDA measures, skin
conductance and skin resistance. Which should you use?
Psychophysiologists prefer conductance for three reasons. First, conductance more directly reflects the number of active sweat glands and
their activity. Second, conductance values are more normally distributed,
which aids statistical analysis. Third, conductance increases as arousal
and activity increase. This makes more intuitive sense than resistance
dropping with increased arousal (Andreassi, 2000).
Skin conductance is monitored by imposing a current across the skin using
two or three surface electrodes. Skin conductance does not measure the
number of active sweat glands. Instead, skin conductance is an indirect
index of sweat gland activity that depends on passing an electric current
across the skin. No current, no conductance. This indirect measure is
closely related to eccrine sweat gland activity. High levels of sweat
gland activity are strongly correlated with high conductance levels
(Peek, 1987).
Measurement circuits use a constant voltage or constant current.
A
constant voltage system holds the voltage through the skin constant so
that current changes with resistance. In contrast, a constant current
system holds current constant so that voltage changes with resistance.
The newer constant voltage system is preferred since it adjusts current
in response to the number of active sweat glands and directly measures
skin conductance (Stern, Ray, & Quigley, 2001). Less current is imposed
when there are fewer active sweat glands (Stern, Ray, & Quigley, 2001).
This prevents excessive current density from irritating sweat glands and
producing a driver artifact that distorts measurement.
Measurement using an AC current is preferred over
DC current since this
reduces the risk of electrode polarization. AC methods may also be more
tolerant of inadequate skin and electrode care. In normal practice,
however, skin conductance measurements using AC and DC methods appear
comparable. Montagu (1964) found that AC and DC conductance values were
strongly correlated (r = +0.99 for skin conductance levels and r = +0.97
for skin conductance responses).
Skin conductance and skin resistance values vary with electrode recording
surface; skin potential values do not.
Skin conductance values are expressed in
μS (microsiemens) per cm2.
Nominal values under standard conditions are 2-100 μS/cm2 (Hassett,
1978). The siemen has replaced the mho as the unit of conductance.
EDA electrodes should be nonpolarizing (not segregate charge) since this
reduces conductance values. Biomedical engineers reduce polarization by
coating a metal with its own salt. Silver/silver-chloride or
zinc/zinc-sulphate electrodes are both used. Silver/silver-chloride
electrodes are also used to monitor EEG and EMG.
Electrode recording area should be as large as possible. A larger
recording area reduces resistance and spreads current across more sweat
glands, reducing sweat gland irritation (Stern, Ray, & Quigley, 2001).
Standard electrodes applied to palmar or plantar (sole of foot) sites
range from 1.5-2 cm in diameter. Finger electrodes are typically 1 cm or
less in diameter (Andreassi, 2000).
Clinicians secure skin conductance electrodes with double-backed adhesive
collars (used in EMG), surgical tape, or elastic bands. Velcro is
frequently used to attach finger electrodes.
Electrode gel is used to conduct current and should contain a physiologic
concentration of saline, which should not exceed 0.05 molar concentration
(Hugdahl, 1995). Commercial EEG and EKG gels may distort readings if
their saline content approaches saturation (Venables & Christie, 1973). Fowles et al. (1981) recommended mixing Unibase paste with a 3% saline
solution for a paste with a 0.05 molar NaCl concentration.
Clinicians attach electrodes to the palmar surface of the hands or
fingers or the plantar surface of the foot (sole) where there
are the highest density of eccrine sweat glands (about 1,000 glands per
square cm).
Placement may be bipolar or monopolar (Hugdahl, 1995).
In bipolar recording, both electrodes are placed over active sites. The
graphic below, which was generously provided by Peper, Gibney, Tylova, Harvey, and Combatalade (in press) shows palmar and finger placements for SCL sensors. The
second phalange may be preferred to the first due to its lower incidence
of abrasion or cuts, which can alter the skin's electrical properties.
In monopolar recording, one electrode is placed over an active site and
the other over an inactive site with fewer eccrine sweat glands (see
below). An additional reference lead may be placed on an inactive site
(forearm) on the same side of the body when 60-Hz artifact is a problem
(Andreassi, 2000). Following cleaning, a clinician abrades the skin of
the inactive site (Stern, Ray, & Quigley, 2001).
Hands are washed before each session to standardize skin condition. SCL
significantly
drops after washing with soap and water removes surface
salt (Peek, 1987).
Skin conductance recordings show tonic (SCL) and
phasic (SCR) components.
SCRs resemble small waves that ride tidal drifts in
SCL (Lykken &
Venables, 1971).
Normal skin conductance level values range from 1-30
μS
per cm2, while skin conductance response amplitudes range from around
0.01-5 μS (Hugdahl, 1995). SCRs are classified as
nonspecific (NS-SCRs)
and event related (ER-SCRs). Below is
a BioGraph ® Infiniti skin conductance display.
NS-SCRs occur when identifiable stimuli are absent. The typical rate
during rest is 1-3 per minute. NS-SCRs must be differentiated from
responses due to breathing and movement (Dawson, Schell, & Filion, 1990).
These spontaneous fluctuations in skin conductance increase with anxiety
and arousal (Hugdahl, 1995).
ER-SCRs are elicited by specific stimuli which may be “novel, unexpected,
significant, or aversive” (Dawson, Schell, & Filion, 1990). How do we
count ER-SCRs? A criterion of 0.01 μS is typically used to identify an
ER-SCR. An ER-SCR is shown below.
An ER-SCR displays several important properties: latency, amplitude, rise
time, and half-recovery time. Latency measures the interval between the
stimulus and SCR onset, which is 1-3 seconds. Amplitude is the rise in
conductance shortly after the stimulus and depends on electrode recording
surface (.05-5 μS) (Andreassi, 2000,
Schwartz & Andrasik, 2003). Rise time is the interval between
SCR onset and peak (1-3 seconds). Finally, half-recovery time (rec t/2) is the interval between SCR peak and 50% recovery of amplitude (2-10
seconds) (Dawson, Schell, & Filion, 1990).
Edelberg (1970) proposed that
rapid recovery is associated with attention and goal seeking, while more
gradual recovery reflects an individual's emotional state.
What are low and high SCL values? Using 3/8 inch dry electrodes on the
volar surface of the fingers, readings below 1 μS are considered low and
readings above 10 μS are considered high (Peek, 1987).
Below a BioTrace+ / NeXus-10 screen shows very high resolution (24 bit) skin-conductance feedback with a precision greater than 1/10,000th of a microsiemen.
Skin resistance is measured exosomatically using the procedure outlined
for skin conductance. Like SCL and SCR, measurements depend on electrode
recording surface. The tonic index is skin resistance level (SRL).
Typical values are 10-500 Kohms/cm2 (Hassett, 1978). The phasic component
is skin resistance response (SRR).
Edelberg (1972) suggested that the
criterion for an SRR should be 0.1% of baseline resistance. SRR latency is
the same as SCR latency, which is 1-3 seconds (Schwartz &
Andrasik, 2003).
An SRR is shown below.
Skin potential is measured endosomatically by placing an active electrode
over a site (like the palmar surface of the hand) and a reference
electrode over a relatively inactive site (forearm). Skin potential is
the voltage difference between sweat glands and internal tissues
(Hassett, 1978).
Unlike skin conductance and resistance, measurements do not depend on
electrode recording surface. The tonic component is skin potential level
(SPL). Typical values are +10 to -70 mV (referenced to the inactive
electrode). The phasic component is skin potential response (SPR), which
typically includes a negative limb up to 2 mV and a positive limb up to 4
mV (Stern, Ray, & Quigley, 2001).
Skin potential measurement involves the same electrodes and conductive
gel used in skin conductance and resistance recording. Recording is
monopolar with electrode placement over active and inactive sites. Skin
preparation may involve abrasion of the inactive site using tools like a
dental burr or needle (Andreassi, 2000). The bias or potential difference
between the two electrodes should be kept below 1 mV to prevent confusing
gradual electrode drift with a gradual change in skin potential level. A
researcher can measure bias before and after data collection by placing
the electrode pair in a saline solution and measuring the resulting SPL
(Stern, Ray, & Quigley, 2001).
SPR has the same 1-3 second latency as SCR and SRR. The amplitudes of
palmar SCRs and SPRs are highly correlated during a single recording
session (Wilcott, 1967). The SPR can exhibit a monophasic waveform
(negative or positive), biphasic waveform (negative, then positive), or
triphasic waveform (negative, positive, then negative). The classic
pattern is biphasic. Negative voltage is recorded upward by convention
(Stern, Ray, & Quigley, 2001).
Human skin acts like a negatively-charged membrane that is especially
permeable to cations (positive ions) (Edelberg, 1971). At rest, SPL
mainly reflects the epidermal potential. When SPRs occur, they increase
skin potential negativity. This implies that sweat gland potentials
contribute more to the SPR than epidermal potentials. Microelectrode
studies confirm that the sweat gland pore is more negative than the
corneum surface (Edelberg, 1968).
The EDA signal is processed by a specialized amplifier. For skin
conductance and resistance, an operational amplifier converts current to
a proportional DC voltage. Analogous circuitry is used to process the
temperature signal.
For skin potential, which is already a voltage, a DC signal amplifier
boosts the voltage to usable levels. Following amplification by an
operational amplifier, or DC signal amplifier, a
low pass filter (2.5 Hz)
may be used to reject higher frequency artifacts like 60 Hz.
Four concerns when monitoring EDA are individual differences, movement
artifact, skin condition, and room temperature.
Individual differences can significantly affect EDA measurement.
Researchers have shown that age, race, lability-stability (Lacey & Lacey,
1958), and stage of the menstrual cycle influence EDA (Stern, Ray, &
Quigley, 2001).
Movement artifact results when movement increases electrode contact area
(pressing against the skin) or decreases area (lifts electrode off the
skin). This problem is less severe with recessed precious metal electrodes prepared
with conductive gel. Movement artifact can be reduced by instruction to
minimize movement and placing the patient in a stable, comfortable
position. Sensors may also be placed on the nondominant hand during tasks
that require one hand. When this artifact occurs, it is easily
discriminated from valid EDA waveforms by visual inspection of a chart
recording (Peek, 1987).
Skin condition affects EDA in several ways. Abrasions or cuts through the
highly-resistant epidermis can raise SC readings. Calluses may increase
epidermal resistance and lower SC values (Peek, 1987). These problems can
be prevented by not placing electrodes over sites that have been abraded,
cut, or callused.
SCL values fall sharply after washing hands with soap and water since
this removes surface salt. Measurement reliability may be increased by
asking the patient to wash immediately before each session (Peek, 1987).
Temperature may lower or raise EDA values. When patients feel cold, SC
may be reduced. Warmer than normal rooms may increase SCRs (Venables &
Christie, 1980). Excessively high temperatures and humidity may produce
thermoregulatory sweating that is unrelated to psychophysiological
activity (Peek, 1987). Room temperature and humidity should be regulated
across sessions to prevent artifactual values. Time of day, day of week,
and season should also be controlled as potentially confounding
environmental variables (Stern, Ray, & Quigley, 2001).
You can determine whether a skin conductance display mirrors the your
client's electrodermal activity by performing a tracking test,
during which you instruct your client that in a few seconds you will
clap your hands. Skin conductance should increase within seconds of this
warning as seen on the BioGraph ® Infiniti tracking test display below.
A tracking test checks the integrity of the entire signal chain from the
skin conductance sensor to the encoder, and the correct software
selection of input channels. When used with the ProComp Infiniti system,
it ensures that the sensor is intact and snugly inserted into the right encoder
input socket, and the correct channel has been chosen for display.
State of the art biofeedback data acquisition systems
achieve +/- 5% and
+/- 0.2 μS accuracy.
A dummy subject is a circuit board with a fixed resistance that tests the
accuracy of an electrodermograph. Two electrodes are snapped on to the
circuit board’s posts, and skin conductance or skin resistance are then
measured. The electrodermograph should display the value of the
resistance.
Now that you have completed this module, describe the method your
electrodermograph uses to measure electrodermal activity and the site(s)
you use for recording. Summarize the precautions you take to ensure
accurate measurements.
Andreassi, J. L. (2000). Psychophysiology: Human behavior and physiological
response. Hillsdale, NJ: Lawrence Erlbaum and Associates, Inc.
Cacioppo, J. T., & Tassinary, L. G. (Eds.). (1990). Principles of
psychophysiology. New York: Cambridge University Press.
Hassett, J. (1978). A primer of psychophysiology. San Francisco:
W. H. Freeman and Company.
Hugdahl, K. (1995). Psychophysiology: The mind-body perspective.
Cambridge, MA: Harvard University Press.
Peavey, B. (2003). Effects of drugs on biofeedback. Short course
presented at the 34th annual Association for Applied Psychophysiology
and Biofeedback convention, Jacksonville, Florida.
Peper, E., Gibney, K. H., Tylova, H., Harvey, R., & Combatalade (in press). Mastery through experience.
M. S.
Schwartz, & F. Andrasik (Eds.). (2003). Biofeedback: A practitioner's guide
(3rd ed.).
New
York: The Guilford Press.
Stern, R. M., Ray, W. J., & Quigley, K. S. (2001). Psychophysiological
recording (2nd ed.). New York: Oxford University Press.