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Predictive Dual Process Theory for Alpha Enhancement
Biofeedback Society, 8th Annual Meeting,
Proceedings Vol. 8, March 6, 1977
Dr. James V. Hardt
Biocybernaut Institute
Major Purpose
To present a theory of alpha enhancement which explains how
feedback trainees learn (or fail to learn) alpha increases.
Kamiya's (1976) Presidential Address urged the formulation
of theories for biofeedback, noting that absence of theoretical bases has
retarded development of this field. Kamiya thus motivated development of this
theory, which has three major features:
- It successfully accounts for past findings in the alpha feedback
literature.
-
It identifies key parameters which influence training
success or failure, and it makes experimentally testable predictions about
optimizing those parameters in a variety of settings.
- It generates testable predictions about clinical
applications of alpha enhancement training:
- Differential effectiveness with differential clinical groups.
- Differential enhancement strategies required for hypo-
and hyper-aroused subjects.
Subjects (sources of data for the theory's development)
Alpha acquisition curves from several long term studies
were found to have similar UP-DOWN-UP patterns (Regestein, Pegram, Cook, &
Bradley, 1973; Hardt, 1974, 1975b). Regestein, et al. trained 31 subjects in a
loose, informal design (subjects could sit, lie, walk, write, sing,
etc. during feedback). Hardt trained 32 subjects in two separate
(N=16 each), more formal studies. Other essential data came from
response habituation curves given by Groves and Thompson (1970) to support
their theory of Dual Process Habituation.
Method:
Since 3 studies in 3 different laboratories found
UP-DOWN-UP patterns in alpha enhancement training, it seemed fruitful to seek
an explanation of this pattern, - especially since the pattern developed faster
with controlled (and slower with uncontrolled) task orientation of trainees.
Ancoli (personal communication, January 1976) noted that Groves and Thompson
(1970) also showed curves with a "bump". However, inspection revealed those
(response habituation) curves to be the inverse of the alpha enhancement
pattern: DOWN-UP-DOWN instead of UP-DOWN-UP. Reflection on these curiously
inverse patterns led to the realization that if alpha blocking responses went
DOWN, alpha activity should go UP, - and conversely! This insight suggested
explanatory utility. Alpha enhancement could be viewed as an example of Dual
Process Habituation, wherein alpha antagonistic responses are progressively
reduced or habituated. Validity of this insight was suggested by the number of
prior proposals that alpha enhancement results from reduction of alpha blocking
influences (Paskewitz, Lynch, Orne & Costello, 1970; Peper, 1971; Lynch
& Paskewitz, 1971; Paskewitz & Orne, 1973a). However, these prior
proposals led neither to predictive theories nor to understanding of how
variations in training methods determined training success or failure. The
necessary inspiration for A Predictive "Dual Process" Theory for Alpha
Enhancement came from viewing enhancement as, not just habituation, but as an
example of Dual Process Habituation (Groves & Thompson, 1970). Working out
the details of the theory then became a matter of: a) Taking over key
parameters of Dual Process Theory, b) Translating them into the alpha feedback
context, and c) Interpreting their influence by reference to the classical
pre-feedback literature on the "natural reactivity" of alpha to stimulation.
Key parameters were:
A) Stimulus Frequency.
This is not the frequency (pitch) of a feedback tone nor
color of a feedback light, but is, instead, the time rate of delivery of
feedback information. Thus percent time feedback has low stimulus
feedback frequency, because it provides information only when alpha voltages
cross the arbitrary threshold (in either direction). However, analogue
(proportional) feedback has high stimulus frequency because it provides
a continuous flow of information about any and all signal changes.
B) Effective Stimulus Intensity
Feedback signals which are too intense will cause alpha
blocking. Light blocks alpha more readily than sound or touch, so light has a
higher "effective intensity". Not just the feedback stimulus itself, but any
ambient light or sound, or any ongoing muscle activity (especially oculomotor)
will also contribute to "effective stimulus intensity" (and to alpha blocking).
Thus with equal feedback tone intensity, the "effective intensity" of the total
setting decreases progressively as follows:
(eyes-open-light) > (eyes-open-dark) > (eyes-closed-dark)
C) "State" of the Organism
The concept of activation or arousal is vital to
interpretation of habituation results. Malmo (1959) and Johnson (1969)
proposed an inverted "U"-shaped relationship between alpha and arousal.
Supporting this view are reports that alpha enhancement is more difficult for
both over-aroused subjects (Utz & Banikiotes, 1973; Hardt, 1974,
1975a; Valle, Chisolm, & DeGood, 1975), and for under-aroused subjects
(Hord, Tracy, Lubin & Johnson, 1975; Hord, Lubin, Tracy, Jensma, &
Johnson, 1976).
Results of the Theory: Explanations and Predictions
A) Subjects of normal arousal enhance alpha better than
hypo- or hyper-aroused subjects, e.g. low anxiety normals enhance better than
high anxiety subjects. Rested subjects do better than sleep deprived subjects.
B) Analogue (proportional) feedback is superior for eyes
closed training. Percent time may be better for eyes open training, especially
with ambient light (cf. Travis, Kondo, & Knott, 1974).
C) Higher alpha levels will be produced with proportional
feedback and eyes closed training, especially in dark, sound proof rooms.
D) Feedback modalities in increasing order of effectiveness
are:
Visual < Auditory < Tactile
E) For maximum alpha increases, there should be minimal
interruption of subjects during sessions, and daily sessions are better than
once a week or twice a month.
F) During UP portions of the enhancement curve, the rate of
increase from session to session will be inversely proportional to elapsed time
between sessions (assuming sessions are not so long or closely spaced as to
produce fatigue).
G) Shapes of enhancement curves depend on training
conditions. With eyes open training and percent time feedback, alpha may fail
to exceed eyes closed baselines. Even the shape of Paskewitz and Orne's
(1973b) eyes open, percent time curve is predicted:
H) High arousal Subjects (e.g. high anxiety) who
successfully enhance alpha will use relaxation strategies, and will report
alpha to be "relaxing". Low arousal subjects (flaccid muscles, torpor,
depression, sleep deprived) will have to use arousal strategies to enhance
alpha, and when successful, will report alpha "pleasant" or "unpleasant"
depending on their use of intense, self generated positive or
negative emotionality to increase their arousal levels (e.g. joy and
happiness or frustration and anxiety).
I) Pronounced subjective experiences (the "alpha
experience") require substantial alpha increases above eyes-closed
baselines. Somewhat similar experiences could be induced in subjects of
average arousal by sensory deprivation of all modalities except the feedback
modality, i.e. auditory feedback "alpha experiences" should be partially
similar to sensory deprivation for all modalities except audition.
J) After sufficient alpha increases to produce
strong subjective experiences, the enhancement curves will break out
of the patterns seen in (G) above. At that time, alpha increases will follow a
power law,
(Integrated Alpha) = c (Total Feedback Time) power
due to positive feedback (reinforcement by the highly
positive subjective state). The power will exceed unity (1) during the
positive feedback phase (powers as high as 20 have been observed), and will
decrease to a small fraction as the alpha limit (the maximum alpha voltages
sustainable by brain tissue) is approached asymptotically.
K) A proportional feedback signal with a variable constant
of proportionality (Variable Transfer Function) will be best for highly aroused
subjects, and might help all subjects show steady increases (G, Figure 3,
above). Variable transfer function feedback would require that the gain of the
feedback signal start at a very low level and then be gradually increased.
L) By repeatedly enhancing alpha above baseline, the
underlying alpha blocking responses (e.g. an anxiety syndrome) will habituate
out. If true "Below Zero" habituation (Groves & Thompson, 1970) can be
observed in alpha enhancement, it will mean an effective treatment for anxiety
can be achieved by long term alpha enhancement training.
M) Since complex responses habituate more rapidly than
simple ones (Groves & Thompson, 1970), a structurally complex anxiety
neurosis may be more susceptible to treatment with alpha enhancement than a
simple phobia (given equal severity). Even phobias have been successfully
treated with alpha enhancement (Benjamins, 1976).
Discussion
An entire biofeedback area need no longer make its
methodological choices blindly. Guided by this Predictive Theory, both
researchers and clinicians can choose the best training techniques for their
settings. Optimization of feedback parameters for specific individuals is also
possible. Negative results in alpha training are traced to poor methodological
choices, not to inability of subjects to increase alpha above baselines.
Requirements for studying the "alpha experience" include substantial alpha
increases above eyes closed baselines, and require that conclusions about the
subjective "alpha experience" from studies without such increases be discounted
(e.g. Walsh, 1972, 1974). Tests of experimental hypotheses are proposed and
should stimulate further research. If "Below Zero" habituation is found in
alpha enhancement, it could mean an effective treatment for anxiety. The
example of this Theory's development from the "Dual Process" model, might also
stimulate theory construction in other feedback areas, such as EMG training. A
slide show illustrated the close match between published enhancement curves and
the Theory's predictions.
References
Benjamins, J.K. "The effectiveness of alpha feedback
training and muscle feedback procedures in systematic
desensitization". Proceedings of the Biofeedback Research Society,
Seventh Annual Meeting, 1976, 7, 5.
Groves, P.M. & Thompson, R.F. "Habituation: A Dual
Process Theory", Psychological Review, 1970, 77, 419-450.
Hardt, J.V. "Alpha EEG responses of low and high anxiety
males to respiration and relaxation training and to auditory feedback of
occipital alpha", Dissertation Abstracts, International, 1974,
35 1912B-1913B, Catalog No. 74-19309.
Hardt, J. V. "Relaxation during breathing feedback, yogic
breathing, and alpha feedback: Effects on alpha EEG activity in low and high
anxiety males". Proceedings of the Biofeedback Research Society, Sixth
Annual Meeting, 6, 72, Monterey, California, February 1975 (a).
Hardt, J.V. "The ups and sowns of learning alpha feedback".
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1975, 6, 118. (b)
Hord, D.J., Lubin, A., Tracy, M.L., Jensma, B.W. &
Johnson, L.C. "Feedback for high EEG alpha does not maintain performance or
mood during sleep loss". Psychophysiology, 13, 58-61.
Hord, D.J., Tracy, M.L., Lubin, A., & Johnson,
L.C. "Effects of self-enhanced EEG alpha on performance and mood after two
nights of sleep loss". Psychophysiology, 1975 12, 585-590.
Kamiya, J. "Presidential Address to the Biofeedback
Society", Colorado Springs, March 1976.
Lynch, J.J. & Paskewitz, D.A. "On the mechanisms of the
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Paskewitz, D.A., Lynch, J.J., Orne, M.T., & Costello,
J. "The feedback control of alpha activity: Conditioning or disinhibition?",
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Paskewitz, D.A. & Orne, M.T. "On the reliability of
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Paskewitz, D.A. & Orne, M.T. "Visual effects on alpha
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Peper, E. "Reduction of efferent motor commands during
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Regestein, Q.R., Pegram, G.V., Cook, B., & Bradley,
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Travis, T.A., Kondo, C.Y., & Knott, J.R. "Parameters of
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Utz, P.W. & Banikiotes, P.G. "Relationship between
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Valle, R.S., Chisholm, R.C., & DeGood, D. "The
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Walsh, D.H. "Effects of instructional set, reinforcement
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