An example of the extensive work in North America in
the 1960's and "70's was Ogilvie and Tutko's ( Ogilvie 1968 ) sport
specific personality test that was found to differentiate athletes from
non-athletes and further differentiated among professional, university
and high school athletes in several team sports. Common traits listed by
Ogilvie as being important in athletes of high calibre were trust,
extroversion, tough mindedness, self-controlled and intelligence.
Eysenck (1984) reviewed studies tests using the Eysenck Personality
Inventory for trait assessment in sport and concluded that there is
ample evidence to support extroversion as being a trait of athletes.
States of Optimal Performance
Most of the work from the
mid-1970's to today has focussed upon theoretical testing of generally
one personality concept or trait such as anxiety. Williams and Krane's
(1993) review of interviews and studies with athletes, coaches, sport
psychologists and professional scouts suggests that there are common
similarities across sports of the mental states or feelings that are
present when athletes report experiencing peak performances. The
common states can be generalized into arousal control, high
self-confidence, attentional control, and determination. The skills
taught in mental training programmes for athletes in attempts to achieve
these successful states usually include but are not restricted to goal
setting, relaxation/energization, imagery, self-talk for performance and
coping, and attentional strategies. Research reviews (Greenspan &
Feltz,1989,Vealey,1994)) have shown that these skills can be
successfully taught and are related to improved sport performance. For
our purposes all the above skills are placed into the categories of
either arousal control or attention control
Raglin's (1992)
review of the arousal/anxiety research indicates that the Inverted U
hypothesis of there being an optimal range of arousal for performance,
not too high nor too low, is not supported. Rather he concludes
Hanin's (1978,1986) theory of the Individual Zones of Optimal
Functioning (IZOF) can more accurately explain the relationship between
arousal/anxiety and competitive sport performance. The IZOF states
that an individual performs best when his/her pre-competitive anxiety is
within a relatively narrow range and that many successful performances
are produced under both high and low levels of anxiety. Rundle and
Weinberg (1997) found no support for the ZOF when team athletes are
used. The suggestion that arousal/anxiety levels for successful
performance is specific to each athlete has a great deal of face
validity. Gould and Udry ( 1994) summarize the literature which
indicates that arousal/anxiety control for sport can successfully be
taught and indicate the strengths and weakness of studies in the area.
Nideffer
(1976)extended theoretical work on attentional processing by proposing
that different types of attention could be assessed, and applied in
sport. He identified the need for controlling width (broad vs narrow),
direction ( internal vs external), and the flexibility to shift
attention. While the research using his Test of Attentional Style has
shown equivocal results, the importance of attention as paramount to
sport performance has been amply demonstrated. Training in controlling
one's attentional state has also been found to enhance performance in
sport (Nideffer, 1993)..
The use of imagery in mental
training programmes for both arousal control and attentional control is
widely advocated in sport and will be included as part of the attention
control. The effects of imagery upon various psychological and
physiological indices have been documented by the National Institute of
Health among others (NIH,1995). Meta-analysis reviews have noted the
beneficial effects of imagery in sport (Feltz,1987, Landers, et al
1983).
II. RESEARCH ON EEG and SPORT
An
underlying problem with the research on the mental skills through the
above methods is that the intervening process of what is happening
within the athlete's head has to be inferred. This means that true
understanding and control can not be attained until measures are taken
of both the covert internal processing of the brain and the overt motor
and behavioural processes resulting from the internal processing.
Measures
of peripheral physiology (eg. heart rate, temperature) or behavioural
outcomes (eg anxiety, performance errors) have been the basis of
scientific investigations in sport for the past 70 years but only
recently has the technology and expertise become available to assess
central nervous system physiology in sport. With better EEG and
computer capabilities we can more easily and directly measure the
electrical activity of the brain implicated in specific attention,
arousal, affect and cognitive processes that are either invoked or
evoked by the performance demands in sport..
The task demands are
different between those who participate in sport for recreational or
fitness purposes and those who compete to win. Thus, for our purposes,
an athlete is defined as one who is both skilled in and competes in a
particular sport
A. Genetics vs Learning
Since
there are suggestions that EEG has a genetic base
(Allen,Reiner,Katsanis,Iacono,1997, Christian, Morzorati, Norton,
Williams, O'Connor & Li,1996) it would seem logical that one would
ask are there similarities in EEG patterns that distinguish whether a
person is predisposed to perform well in sports? Additionally, are
there are similarities in EEG patterns after individuals have "learned' a
motor task?
The differences in personality that predispose
individuals to participate and succeed in different sports has been
reported for decades but the assessment has generally been limited to
paper and pencil tests. Based upon Strelau's (1977) work that a resting
baseline EEG percent time alpha distinguished pilots with good
performance skills from pilots with poorer skills under the stress of
flying, Cummings & Wilson (1978) had a track coach rate those
athletes who performed well under the stress of competition. The
baseline per cent time alpha from O1- T3 was significantly higher for
those designated as good copers under stress. Wilson, Ainsworth &
Bird, (1984) then used a nationally ranked mens volleyball team rated by
coaches as either good or poor copers/concentrators under the stress
of competition and again found higher baseline alpha for the good
performers. The possibility of using EEG for assessing predisposing
mental processes is currently being investigated in other areas such as
exercise dependency (Beh, Mathers & Holden,1996).
The
second consideration is whether or not the learning of a motor skill
affects the subsequent neural processing as assessed by EEG .Gliner et
al (1983) reported changes in EEG as individuals learned a motor task
but the design did not allow for determining whether they were
measuring performance changes or whether learning had occurred.
Etnier's and others (1996) study of changes in EEG after a person
practices the motor tasks included retention tests in their design to
ensure that "learning' of the motor task had occurred. After no
initial EEG differences between the experimental and control group in
the baseline, the experimental group had significantly greater alpha
power at the end of the training and which remained after two retention
tests. This confirms that learning a motor task changes the EEG of the
participants in future performances of that task.
Further
support for an inclusion of both traits (genetics) and states (learning)
has been noted by.
Rosenfeld, Reinhart & Srivastava (1997).
They have recently shown that alpha and beta entrainment are dependent
upon baseline EEG .
Sport Performance
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Sue is a retired professor of York University, where she taught sport psychology, coaching, and self-regulation courses. Her experience includes Biofeedback and Neurofeedback in a medical center, counseling center, businesses, and in schools. For (
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