The Connectivity Conference
Author: Dr. Siegfried Othmer
The Connectivity Conference in Armonk, New York, brought together
a number of people engaged in synchrony and coherence training
or the corresponding analysis. Speakers were brought together
by invitation from Michael Gismondi, organizer of the conference.
As a user of a variety of neurofeedback instruments, he realized
that a focus on coherence training would be very timely.
Joe Horvat kicked things off with a review of his approach to
coherence training. The original point of departure was furnished
by Thatcher, who was probably the first to highlight coherence
deviations as a hallmark of brain injury. And on the practical
side, Bob Crago may have been one of the first practitioners to
actually use coherence training. Joe had started out first using
protocol-based training based on Ayers and Othmer, and at some
point introduced coherence training with a treatment-resistant
child of six. The coherence standard score went from +3.7 to –2.64
Z-score in 3 sessions! Whereas some symptoms resolved with this
new training, other symptoms returned, quite possibly the result
of the “overshoot” in coherence. The rapidity of change so panicked
Joe that he did not go back to coherence training for a number
of years.
Joe found that one way to tame coherence training is to put it
up front, ahead of the amplitude-based or protocol-based training.
Then the effects are more measured and gradual. When it is done
later in the course of training, the response tends to be more
rapid and less manageable. This observation actually stands as
a nice back-handed confirmation that protocol-based training does
have a general effect on the flexibility of brain functional organization.
Joe found two principal subtypes of deviations in his work (which
was mainly with traumatic brain injury). In the first, elevated
coherence measures tended to be associated with diminished phase
measures. This is what one would expect. The phase measure here
is a time average of the relative phase between the two sites.
When coherence between the two sites is high, then the relative
phase is more constrained to stable values, and will therefore
show less variation over time. Under circumstances such as these,
Joe was always comfortable training coherence. And when the coherence
normalizes, the phase measure will tend to normalize as well.
Joe never found it useful to train the phase measure directly.
No surprise there.
The second major category is the complement of the above, namely
diminished coherence and elevated phase. When there is insufficient
linkage between the sites, then of course the relative phase will
be more random. In this case, coherence up-training is brought
to bear, and again an attempt to train down mean relative phase
directly is not found to be helpful.
Joe gave an example of training a child with Reactive Attachment
Disorder in which there were apparently effects of over-training.
As it happens, this was a child with virtually no deviations at
all on the brain map, but a follow-up brain map after protocol-based
training showed insufficient coherence in delta. An attempt at
coherence normalization training led to an initial improvement
in symptoms and then a worsening. Joe has never done coherence
up-training in the delta band since. Now at one level this is
very much the way we work as well, responding to adverse consequences
that follow the training, and making the generous assumption that
the training probably had something to do with whatever we find,
good or bad. But in this case, one may wonder. Reactive Attachment
Disorder children remain notoriously volatile until the training
is well along, and this event may in fact have been a case of
“post hoc, ergo propter hoc” that George loves to go on and on
about. On the other hand, experiencing a raging, tantruming child
after a neurofeedback session is enough to put anyone off their
feed.
The natural hierarchy for coherence training that Joe has adopted
is to target coherence anomalies first in the delta band, secondly
in the theta band, and thirdly in the beta band. If linkages show
both excesses and deficits in the beta band he will tackle the
excesses first. Alpha anomalies are usually found to resolve when
the others do, and don’t need to be targeted specifically. When
confronted with both long and short linkages that are deviant,
he will tackle the long links first, finding them harder to train.
And when that is accomplished, the shorter links often resolve
without explicit targeting. The coherence training is undertaken
as a first objective unless the person exhibits sleep issues or
PTSD. In the case of sleep disregulation, standard protocol-based
training is employed, and in the case of PTSD Joe falls back on
his EMDR experience and work with desensitization techniques.
In that case, another map will be done before neurofeedback is
begun. The difference in the maps demonstrates that the EMDR treatment
alone is also capable of altering brain maps significantly. When
all is said and done, Joe declares his basic objective for the
training: “I am training to clear a map…” On the other hand, Joe
acknowledges that in the process of clearing coherence anomalies,
inter-hemispheric asymmetries may in fact get worse, or even show
up where they weren’t present before. There is no perfect world.
Originally only Lexicor provided for coherence training. The
NeuroCybernetics approximated coherence work by providing for
training on the sum of channels to either favor or disfavor synchrony
between the channels with up- and down-training, respectively.
Somewhat apologetically we originally referred to this as “poor
man’s coherence training.” Some wags then responded that given
the price of the NeuroCybernetics it should really have been called
rich man’s coherence training…
Our intent was to introduce some honesty into the discussion.
Synchrony training is not the same as coherence training, although
synchrony is actually not a bad stalking horse for coherence.
We know that in principle two sites can have a persistent phase
difference between them and yet be coherent. But work by Bill
Hudspeth has shown that that has practical limits when it comes
to the brain. When the equivalent time delay between sites (i.e.
the phase difference expressed in units of time) is greater than
some ten milliseconds, the coherence between sites tends never
to be very large as a practical matter. We also know that the
sum of channels has only a very gentle dependence on relative
phase over a very large range in phase angle. This is shown in
Figure 1 below. As a result, for purposes of brain-training the
detection of large-amplitude excursions in synchrony is nearly
the equivalent of detection of excursions in coherence.
There was a lot of discussion about how coherence was originally
calculated in the Lexicor, a matter that could not be resolved
because Lexicor has never disclosed its formulation. But in fact
it hardly matters at all. Coherence training in the moment only
needs to discriminate between coherence increasing and coherence
decreasing. We are just engaged here in a sophisticated game of
warmer/colder. As long as the measure we employ replicates the
actual coherence in this simple respect, it can be used for training
purposes. Synchrony training serves in that role, and so does
whatever calculation was performed by Lexicor. When it comes to
determining the actual coherence between sites, a longer-term
record is needed, and reference needs to be made back to a database,
where presumably the rigorously correct calculation of coherence
is being made.
These requirements are totally at odds with what is required
for good training. When it comes to training, we require neither
accuracy in coherence nor even precision. We need to know the
rate of change of coherence, and in that regard it is even sufficient
just to know its sign. What does matter is that we have this information
promptly, and with respect to the then-ongoing activity in the
brain. There is simply no way that the rapidly-changing information
we require for feedback can give us an “accurate” measure of coherence,
and there is no way that an “accurate” measure of coherence can
give us an indication of how to train the brain in a particular
moment. We must approach each of these tasks somewhat independently.
With the discussion of the Lexicor methodology still hanging
in the air, Tom Collura presented an elegant way in which coherence
could be calculated readily with minimal delays. A time average
of that quantity could then yield the appropriate measure of coherence
that should line up with the databases. As it happens, Tom verified
that even during the conference, having taken some measures off
Joe Horvat’s scalp and comparing his own coherence measure on
the BrainMaster with that of Bob Thatcher’s Neuroguide. The result
is shown in Figure 2.
Once this essential correspondence has been established, it is
clear first of all that a single solution has been devised both
for the immediate requirements of real-time training and for the
calculation of the “stationary” value of coherence between those
two sites at the prevailing frequency. Secondly, it is now possible
to work day-to-day without always referring back to the databases.
This makes it practical to work with even a rapidly-responding
measure such as coherence without groping in the dark and holding
one’s breath with regard to possible over-training. In fact, now
that Joe Horvat has the BrainMaster underfoot he has been liberated
from the policy of training coherence first. He also uses the
mini-Q to track changes between full brain maps.
Jonathan Walker recalled his own path into this field. He decided
to go into neurology because there were so many unsolved problems.
He was convinced drugs were going to be the answer, but over time
found that drugs almost never heal things, even though they may
enhance function. They do not get at the heart of problems. At
one point a QEEG machine was purchased and no one knew how to
use it, so he ended up getting involved. It was used only for
discriminant analysis, as for example in distinguishing between
depression and dementia, or between Bipolar Disorder and depression.
Ominously, the people who did the work ended up not being liked
by the people who didn’t do the work… At some point he came to
hear about Joel Lubar’s work from a neuropsychologist interested
in dyslexia. Jon found that although it was easy enough to identify
elevations in theta/beta ratio in many ADHD children, this measure
did not define who was actually responsive to “theta/beta training.”
The latter group was much larger. So for these purposes, Walker
actually abandoned the QEEG, and still obtained a clinical success
rate on the order of 80%. When he later re-introduced the QEEG,
his success went to some 95%. This is how he ended up in the “QEEG
camp.”
There was a second motivation, namely his abiding interest in
dyslexia. “There was no dyslexia section in the [protocol] handbook.…”
A patient could not come with only dyslexia and be systematically
trained successfully. It was at this point that Jon Walker encountered
the early work of Joe Horvat on coherence training. Joe had had
success with learning disabilities induced through traumatic brain
injury. The new coherence training was helpful for LD and epilepsy,
but still didn’t do much for ADHD, where the traditional approaches
largely sufficed. What emerged was a combination of power-based
and coherence-based training to address both the more general
sub-cortical disregulations and the more cortical features. Jon
thought increasingly in terms of cortical “modules” in which certain
functions were expressed through particular linkages, and in time
all such linkages would be fully characterized. In the meantime,
some worthwhile conjectures could serve as preliminary guides
to training for specific functions.
Striking results with certain patients motivated a continuing
exploration along these lines. For example, one patient with only
coherence anomalies significantly increased his batting average
and became a sharpshooter after coherence-based training. The
coherence training was also faster. Jon found it quite common
to train to a power anomaly and not see changes over five to ten
sessions. It is very unusual to see that happen with coherence.
This reminds me of a point that Jay Gunkelman had made about
the mu rhythm. It turns out not to be so effective to target it
directly, but other kinds of training can cause the mu rhythm
to desynchronize. Also, we have been told of many occasions in
which our kind of inter-hemispheric training brings about a substantial
reduction in both high and low frequency amplitude elevations
once the “right” reward frequency has been found. An equivalent
amount of time spent with “inhibit-based training” would not have
had that effect. In actual practice, of course, the inhibits are
engaged all the time. Clearly it is the reward that is making
the difference.
Amplitude elevations are likely to be signatures of disregulation,
but they may not indicate the most propitious target for training.
Jon addresses the most extreme coherence abnormalities seen in
beta, alpha, theta, and delta, and then repeats the Q. For learning
disabilities, it seems to be most important to get the beta band
right. Jon finds deficits in coherence, particularly in beta,
to be more resistant to training, taking perhaps twice the time
at ten sessions. Jon focuses first on the intra-hemispheric deviations,
then the inter-hemispheric, whereas Joe Horvat concerns himself
mainly with the intra-hemispheric anomalies.
Jon has retained his interest in protocol-based training, and
was recently tempted to try the inter-hemispheric bipolar training
with a suicidal bipolar patient. The training pretty much got
rid of the depression, but there was still some anger and irritability,
and a post-training Q showed the emergence of some hypo-coherent
anomalies. This is of great interest, since we don’t typically
have such measurements available on our inter-hemispheric training.
Jon suspected the fellow may have been over-trained, but we tend
not to see over-training effects with this protocol.
With regard to dyslexia, Jon tried activating T3 in response to
a finding by Shaywitz from imaging work. Dyslexics may not activate
T3 appropriately when reading, but training to activate it does
not solve the problem. This is an object lesson in the network
relations of something so complicated as reading. Obviously all
of the modules involved have to be part of the dance. It’s not
just about activation, but rather about functional integration,
which is ultimately a matter of timing. Jim Evans showed back
in 1995 that dyslexics can have a decrease in coherence anywhere
in the four major areas (P3, T3, T5, O1) and exhibit dyslexia.
Kirtley Thornton has gone beyond Jon’s minimal activation approach
to a three-hour neuropsychological evaluation to identify how
particular LDs differ in their activation patterns from what is
standardly seen in normals under the same challenges. The deviant
linkages are then trained with Lexicor-based coherence training.
Unfortunately, Kirtley was not available to present his work.
There were two presentations on protocol-based approaches to
synchrony training: Les Fehmi’s five-channel synchrony training
and our own inter-hemispheric bipolar desychronization training.
Les started out early on with a rather single-minded focus on
alpha synchrony-training. This thrust bore fruit among other things
in Adam Crane’s development of the Capscan, the first computerized
EEG trainer on the market. With our appearance on “The Home Show”
in January of 1993 Les became aware of our work and adopted the
beta/SMR training as well. Over time, however, he has gravitated
back toward the alpha synchrony training as a first resort for
most clients. The beta/SMR training may be inserted a later time.
In order to do this training with maximum efficiency, Les has
developed an analog EEG front-end that combines the signals from
five channels and allows EEG reinforcement over a 40-Hz range
rather than just at alpha. Bandwidth is selectable. The unit can
serve as a front end for a variety of other systems. The client
is reinforced for every cycle that the threshold is exceeded via
both a strobe and an auditory signal. Those who are left hemisphere-dominant
learn to produce alpha more easily nwith auditory feedback better
than with visual, and vice versa. So it is just best to provide
both kinds of signals. This serves not only as a reinforcement
but also as a direct stimulus. The phase of the stimulation can
be adjusted for maximum impact, much as a swing is optimally reinforced
at a very specific phase. I personally found myself falling into
a pattern of “gripping the signal,” which is hardly conducive
to the more “open focus” states Les is seeking in alpha. It seems
to me that tactile feedback might provide a way out. The somatosensory
response can track most of the EEG frequencies of interest, so
the response can still be phase-sensitive; and yet it is much
more difficult to “lock onto” a tactile than a visual signal.
Les readily acknowledges that it may be difficult to set up
a situation where someone systematically increases his alpha,
or any other frequency for that matter. But that is not an indictment
of the approach. The training gives one the direct experience
of a different way of attending to the world, and that capability
carries forward even as explicit EEG training effects may slide
beneath recognition. The attentional process is regarded on two
axes: One ranges from narrow or directed attention to diffuse
or broad attention. The other axis ranges from an objective or
remote kind of attention to an immersed or absorbed kind of attention.
Our preoccupations in life shape us toward particular attentional
styles, at some cost to autonomic regulation, arousal level, and
stress tolerance. Les used to emphasize the kinship between attentional
style and arousal level more than he did on this occasion, but
the connection still holds.
Alpha is not always an index of good functioning. It can also
indicate a lack of flexibility (“stuck alpha”), and it can be
part of the body’s analgesic response. Or it can be part of a
dissociative PTSD response. A combination of up- and down-training
is often used to induce a greater flexibility of responding. The
two extreme styles (narrow and objective versus diffuse and absorbed)
may involve different aspects of the complex alpha rhythm, with
the latter dominating at a lower frequency. The phase may also
be crucially involved, in that it can delineate what we may experience
as self versus the other at any moment. This simple identification
can explain the profound, boundary-breaking, unifying experiences
that may occur in meditation or in alpha training. An expansive
domain of high coherence seems to be more the issue here than
the specific frequency involved. Indeed, Fehmi’s new instrumentation
will allow training at any common EEG frequency with a mere dial
selection, with the five-channel synchrony mode assuring that
only the synchronous component of the signal will be reinforced
throughout. With a unitary phase defining the domain of the experience
of “self,” it follows that the awareness of the boundary of self
and the other involves the interference pattern in the region
where different phases abut each other.
At so many levels we encounter the brain’s regulatory function
at the highest levels of synaptic transport to be involved with
the management of neuronal assemblies in terms of their spatial
extent, of their width in frequency space, and of their temporal
properties of waxing and waning. The phase may be the defining
variable with respect to both the spatial boundaries of the ensemble
locally, and of relationships with other assemblies distally.
Working overtly with attention may be the equivalent in neurofeedback
of working with the breath in biofeedback. It is both a voluntary
and an involuntary activity, and we are in a position to increase
our voluntary contribution purposefully for a time, or even for
all time. This also provides perhaps our most direct experience
of the brain’s attempt to regulate itself. By bringing our attention
to the process of attention, we enhance—if only momentarily—the
hierarchy of regulation. And then we find that learning will in
fact have occurred.
In my own presentation, I talked about the “small-world” model
of networks in which neuro-regulation must be analyzed in terms
of a hierarchy of control. The control of timing of neuronal assemblies
must then be seen as a distributed network function to which a
variety of structures contribute. The hierarchical nature of the
organization means that we must look to the earliest (in the evolutionary
sense) and the most centralized structures for their key contribution
to the organization of brain timing, even though that contribution
may be veiled behind the more obvious activity of our glorious
neocortex.
The bipolar training at homologous sites can be interpreted
as a challenge to the brain to desynchronize. This can be seen
in Figure 1, where we are operating at a zero degree phase angle
(on that plot) such that synchronous signals are entirely suppressed.
As signals deviate from a condition of synchrony they become “visible”
to the measurement, and at sufficiently large deviations will
be reinforced. Thus the bipolar training will reward “anything
besides synchronous activity.” Hence it has the effect of challenging
the EEG to desynchronize.
Frequency-based reward training can then be seen as a subtle
disturbance out of the prevailing state of the brain. The brain
yields to this intervention in first instance, but it cannot allow
its own state to be arbitrarily changed, so it mounts a response.
The neurofeedback challenge is therefore intrinsically bilateral,
involving both a provocation in one direction and a response in
the opposite direction. That being the case, it may be an issue
of only second-order importance as to the direction in which the
initial challenge is applied. If the initial displacement is in
the direction toward normalcy, we would invoke a “normalization
model.” If the initial displacement is either random or performed
in the absence of any known deviations, we would invoke an “exercise
model.” And if the displacement is in the opposite direction of
our intended objective, we would invoke a “homeopathy model.”
Collectively these constitute the full palette of the “Generalized
Self-Regulation Model.”
In this manner it can be explained that the apparently divergent
and incompatible objectives of Les Fehmi’s approach and our own
can both yield the modest objective of improved self-regulation
by the brain. This is a rather broad terrain. First of all, our
rather considerable overlap with psychopharmacology in terms of
efficacy surely is traceable to the central role that is played
by the brainstem in neuro-regulation, irrespective of whether
our viewpoint is neuro-chemical or bio-electrical. The same probably
accounts for our robust efficacy in migraine, and for our effectiveness,
such as it is, for narcolepsy. At yet another level, protocol-based
training can be very helpful for the basal ganglia issues such
as Tourette Syndrome and Parkinson’s. And protocol-based training
covers all of the bases in emotional disregulation such as we
see in PTSD, sociopathy, Reactive Attachment Disorder, the autism
spectrum, and addiction. This covers most of what is likely to
walk into the office of a mental health practitioner during the
course of a career.
What differentiates the various (generalized) techniques is at
a more subtle level of attentional style and of dimensions of
awareness. At this point we are beyond merely keeping people migraine-free
and into questions of the overall quality of mental functioning.
By the same token, the specific coherence-based training is not
usually required to achieve basic brain stability or arousal,
attention, and affect regulation. But it can address specific
learning deficits and the localized deficits that may follow from
stroke and traumatic brain injury or the dementias.
A comprehensive practice would therefore try to provide for both
types of capabilities. It is realistic to suppose, however, that
practitioners will retain their primary therapeutic style, and
that now includes their way of doing neurofeedback. The vast majority
of currently active practitioners have come to the field through
protocol-based or mechanisms-based training. What is the natural
growth path for such practitioners? We ourselves are at this moment
in mid-stride toward the adoption of dual-channel training. That
transition opens up two evolutionary pathways. One is to the adoption
of a more comprehensive inhibit strategy, and the other is explicit
attention to the linkages between sites through tracking of coherence
throughout the training process.
This new focus on the trends in coherence throughout the training
brings together EEG assessment and neurofeedback training into
a near real-time relationship in the clinic, which breaks one
of the huge bottlenecks associated with QEEG-based training, namely
the delays in getting the requisite information back into the
clinic. (“Just what are you going to do while you are waiting
for your Q?”) We have here an entry path into more quantitatively-based
training that places only minimal additional demands on the clinician.
In this manner, clinicians can continue to operate in their usual
fashion, optimizing their main approach through small adjustments
that all lie within the paradigm. At the same time, an effort
can be made to adopt at least one other technique that lies largely
outside of their existing paradigm, simply in order to have a
continuing independent vantage point from which to regard their
own work. Practitioners who have come to the field through QEEG-based
training are increasingly adopting more dynamically-based training
as a complement, and the same should be happening in the other
direction. Coherence-based training offers perhaps the most congenial
port of entry.
In the above, we have made the case that all narrow-band reward-based
training can be regarded as a modest challenge to the brain. But
it is also in the nature of any such challenge to serve as a constraint
upon the brain. Clinicians must always balance the positive clinical
effects of a particular challenge with the costs that may be exacted
by any constraints that may be imposed. This appraisal is made
most honestly from the perspective of an entirely different technique
where this tradeoff would be very different.
Over the longer term, there will be growth to more comprehensive
capabilities. Two more talks at the conference spoke to that issue.
Bill Hudspeth talked about his “database-free” analysis of the
coordination between the different sites based on analysis of
coherence between all of the site pairs. And David Kaiser covered
the same ground with respect to comodulation, the correlation
between sites in the amplitude domain (and typically calculated
at the dominant frequency). On the basis that working with the
comodulation measure has been so productive both conceptually
and practically, David is not at all ready to concede that our
current fascination with phase will endure. Indeed it is not easy
to separate the variables.
Bipolar placement, particularly at near-neighbor sites that have
a lot of shared activity, effectively serves as a transducer of
phase information into net amplitude (see Figure 1 around the
zero degree phase point). Once that occurs, the variables are
not even separable any more. Hence bipolar placement can be seen
as bringing phase into play even more as a training variable.
It is quite possible that this accounts for the clinical impression
that bipolar placement may be slightly stronger in its training
effect than referential placement. And it is also possible that
if phase was not important before, then bipolar placement has
made it so.
There is one application where I believe an emphasis on phase
is to “over-constrain” the system. It is in the matter of two-person
training. Les Fehmi uses his new instrument with couples, for
example, and asks them effectively to synchronize their alpha
activity to produce rewards. This situation is tailor-made for
comodulation-based training, it seems to me. Surely it is enough
that couples experience simultaneous occurrences of their alpha
spindles. It may be too much to ask that both also operate at
the same alpha frequency.
The barriers to a fuller utilization of Hudspeth’s and Kaiser’s
analysis of the EEG are practical ones. One looks forward to the
day when a 19-electrode cap can be placed without delay and without
goop. An algorithm could readily be devised by means of which
coherence-based training can be delivered largely under software
control. In the meantime, a lot can already be achieved with only
two channels, or four, or six.
In addition to the formal program of the conference, Mike Gismondi
asked Marty Wuttke to talk about the program he has developed
in the Netherlands. Marty talked about his own journey, involving
first of all with his own addiction to drugs, his subsequent involvement
with addictions treatment as a provider, and then the addition
of neurofeedback (Capscan). He also talked about the birth of
his CP child, for whom he sought the help of Margaret Ayers (“as
the only one who would train children before the age of 7”). By
now his son is 12 years old, and is cognitively in good shape,
although there are still motor control issues.
Marty’s intensive two-week program in the Netherlands is now
aiming at the exploration of the dimensions of consciousness and
toward spiritual transformation, a pathway reminiscent of his
own journey out of addiction. He sees the addiction model as more
broadly applicable to people who are stuck in certain patterns
of responding, although the focus of his work is no longer addiction
per se. The spiritual awakening is first of all a program to expose
and diminish the interferences to authentic being. The program
is heavily biased toward the experiential. Neurofeedback is done
twice a day, with an emphasis on alpha synchrony training and
on training of pre-frontal function.
Figure 1. The plot illustrates the net amplitude that would be
seen for two signals at the given phase angle in a bipolar configuration.
Each signal is of magnitude 100. Maximum net signal is reached
at 180 degrees in phase difference, and zero signal is seen at
zero phase difference. Near zero degrees the net signal has a
strong dependence on relative phase, thus promoting desynchronization
in a feedback configuration. Near 180 degrees the net signal has
a very soft dependence on relative phase. The latter property
allows instantaneous synchrony measures to be a reasonable surrogate
for instantaneous coherence measures for training purposes.
Dr. Siegfried Othmer
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