In tend to recognize themselves when you ‘hear’,

In this paper we present about
Brain Music Therapy and brief detail about the working of it in improving one’s
mental strength. One
probably know what music he or she  likes
the best and what it does to them, but did anyone know there is one ultimate
soundtrack you can access that will insure their absolute best results and
fully optimize your mind wherever they go, whatever they do? That soundtrack is
music made from your own brain waves.This may sound strange, but it’s real, and
it works.

This music is known as BRAIN MUSIC THERAPY (BMT).

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 In this paper we
are going to see about BMT, its merits, how IT helps to decode it.

Neuro feedback,
psychiatry, EEG, Brainwaves.


Brain Music Therapy is an effective,
scientifically proven treatment for stress, insomnia, anxiety, and depression.
It has also been found to increase productivity and concentration.

Brain Music Therapy records an individual’s brain waves and
converts them into unique musical sounds. These musical sounds correlate to
brain waves that promote relaxation and trigger activation in your body. The
musical sounds are presented to you in the form of two musical files – one
relaxing, and one activating. Playing those files promotes relaxation and
activation in your body.

Brain Music Therapy does not involve taking pills, and has had no
side effects to date. It is customized to an individual’s unique brain waves
and backed by solid scientific evidence, including double blind studies.


The treatment is simple and easy: listening to the music made by
your own brain waves.

BMT is one of the form of biofeedback, neurofeedback, where
brain waves tend to recognize themselves when you ‘hear’, ‘play’ them back to

When this happens, your brain waves are more responsive,
allowing you to more accurately manipulate them, raising or lowering their
frequency to your desire.Therefore, music generated from your own brain waves
allows you to experience longer-lasting, more sustainable effects than
listening to other music.As a result, you can use your own brain waves, your
ultimate soundtrack to train your brain to achieve higher levels of calmness,
alertness, and balance at the push of a button.Yes, you can do it on your own
and wherever and whenever you want.Just put your soundtrack on your iPod, MP3
player, or cell phone, and don’t carry your optimal mindsets with you in your
pocket!And of course, like any other training program, to make your treatment
successful you need to practice.

When you practice listening to your own relaxing brain waves,
twice a day and extra times when needed, you will make your brain waves more
relaxed and yourself a less anxious, more balanced person, who sleeps much
better.When you practice listening to your activating track, your brain waves
will be trained to reach your optimal alertness, even per specific situations
if you choose to train that way, so you’ll feel energized, optimized and happy
and you will focus and perform better. Extensive clinical experience shows that
BMT is effective in helping you achieve alertness, calmness, improved organizational
skills, emotional strength, improved mood, and sharpened memory. Many people
have reported that they have been able to reduce and even completely eliminate
their need for sleep and anti-anxiety medications as a result of BMT.

The best part is that BMT, like all your playlist tunes, is
noninvasive, has no negative side effects, and is enjoyable. It’s much more
cost effective than most medication. You can also use it just like you would
any other playlist. You can download it onto your iPod, with all your other
playlists, and carry it right in your pocket.


Brain music therapy was developed in the early 1990s, at the
Moscow Medical Academy, in Russia, the same place where the iconic physiologist
Dr. Ivan Pavlov launched the basics of neurophysiology. Yes Brain Music Therapy
is a form of Neurofeedback, Biofeedback, which initially was build on classical
then operant conditioning, terms from school and college. In  this paper
we present about the merits of using Brain Music Therapy.


The effects of a new nonpharmacological method of treating
insomnia — “brain music” — were studied. The method is based on the
transformation of the EEG into music using a special algorithm developed by the
authors. Sleep polygrams were recorded and analyzed, and EEG segments
corresponding to different sleep phases were identified using standard
criteria, and were transformed into music. Patients listened to the resulting
audiocassettes before going to sleep. Clinical, questionnaire, psychological,
and electro-physiological (polysomnographic, electroencephalographic) methods
were used before and after 15-day treatment courses in 58 patients with
insomnia, who were divided into two groups: group 1 (44 patients) formed the
experimental group, and group 2 (14 patients) formed the “placebo” group (in
whom the “brain music” of a different patient was used). “Brain music” was
found to have positive effects in more than 80% of the insomniac patients both
from the point of view of subjective sensations and in terms of objective
studies, i.e. neuropsychological and neurophysiological investigations. The
high efficacy of “brain music” in patients with insomnia was combined with an
absence of side effects and complications.



When the first edition of Introduction to Quantitative EEG
and Neurofeedback was published in 1999, it was the only book available
providing a broad overview of the field of neurofeedback (NF) and the use of
quantitative EEG (QEEG) in relation- ship to that field.Although since then at
least three other texts have been published which deal in depth with
neurofeedback (and, to some degree, with QEEG), the many recent advances in
neurofeedback-related areas warrant an updated second edition. Since the basics
of QEEG and neurofeedback are available elsewhere, the chapters in this edition
emphasize recent thinking regarding mechanisms of efficacy of NF, advances in
QEEG and its application to NF, advances in use of neurofeed- back with many
disorders covered in the first edition as well as new clinical appli- cations,
current status of auditory-visual entrainment (AVE) and other procedures often
used in conjunction with traditional NF, and an update on ethical concerns in
the practice of NF.As with the first edition,chapters are authored by current
leaders in the field, many of whom are among the early “pioneers.”
The last ten years have seen a rapid growth of
the field of NF both in the US and internationally. Practitioners can be found
in at least 27 countries, and membership of the International Society for
Neurofeedback and Research (ISNR) has grown by 51% during the past five years.
Keeping pace with this growth has been the evolution of clinical practice and
research. New QEEG databases have been developed, and older ones refined with
the addition of new measures of potential clinical relevance (e.g. phase reset,
co-modulation). Older and newer QEEG measures of neural connectivity have
received increasing attention, and improved methods of determining cortical and
sub-cortical areas of dysfunction from the EEG (e.g. LORETA) are now available.



The objective of this study was to determine if a music-based
intervention could be success- fully used by a group of law enforcement
officers and firefighters to improve measures of sleep quality, mood, and
daytime function. The Wellness Program Study included 41 male and female first
responders who volunteered to participate in the 8-week study investigating the
use of a music-based neurofeedback therapy known as Brain Music (BM). Creating
the individualized BM recordings required 5 min of brain wave activity from 4
sensors located at F3, F4, C3 and C4 sites. The music consisted of two MP3
files, one for activating and the other for relaxing, where the ratios of peak
frequencies in the delta (1–4 Hz) through beta (up to 30 Hz) EEG bands were
used to select the notes used and their characteristics (e.g., duration, pitch,
amplitude, and symmetry) as a means to individualize the compositions for each
subject. Results of the study indicated statistically significant improvements
in 4 behavioral measures: sleep quality (94%), insomnia (89%), mood (74%), and
daytime func- tion (82%). These results extend earlier insomnia research of
music therapy applications from the clinic into an operational setting and lay
the groundwork to address many questions concerning neurofeedback interventions
targeting stress management and improved job performance. The implication of
this study goes beyond the utility of BM in the first responder setting to a
broader audience because many persons suffer from sleep problems that
negatively impact daytime function and work performance.




Brain Music Therapy finds, records, and reinforces brain
waves that are associated with various physiological parameters, such as heart
rate and muscle tension.


physician provides a brief medical evaluation.

patient fills out two questionnaires: Beck Depression Inventory and Subjective
Sleep Scale

individual’s key brain wave patterns are recorded using EEG equipment. The
recording time is about 5 to 10 minutes, and the duration of the entire
procedure is approximately 20-25 minutes. The procedure is painless and

an optimal recording, patients have to keep still and attempt to bring
themselves to a relaxed state.

individual’s brain wave patterns are processed through algorithms, which
extract key healing rhythms, and translate them into a sound-based format of
two musical compositions.

approximately 3-4 weeks, the patients receive their personal brain music CD,
which includes recommendations by a licensed physician.


A “brain-sound compiler” that transformed 16-channel EEG46
traces into music. Equipped with 18 different transformation logarithms and
capable of creating changes in tempo, varying the volume of each channel,
transposing the music of each channel to different octaves, changing musical
parameters (eg, legato or staccato), adding major and minor chords, and
analyzing the note patterns of each channel, the brain-sound compiler sounds
like just another sequencing synthesizer. What makes it totally unique is that
the sound source and sequence are EEG-recorded brainwave patterns. Why go to
all this trouble for a musical composition? Apparently for the
non-pharmalogical treatment of insomnia, anxiety (i.e., panic disorder, social
phobia, generalized anxiety disorder, or post-traumatic stress disorder),
depression, Attention Deficit Hyperactivity Disorder, or migraine and tension


A Russian psychiatrist in NYC measures your brainwaves, emails
them to her old professor in Moscow where they are put through a brain-sound
compiler. Two compositions (relaxation and energizing) are created and
digitally sent back to NY. For about $500 you now have a CD with the musical
correspondences of your unique brainwave pattern.

This author has not heard BMT or spoken directly with any of the
principles. But what I surmise is that what we have in this invention is a
synthesized soundtrack with all parameters triggered by an individual’s
previously recorded brainwaves. These questions come to mind: Are these
soundtracks safe, what’s the benefit to the listener, and how does it create
this effect?

 “In order to prove
efficiency and safety of the method “Music of the Brain” and to meet the
requirements, we performed a double blind research with placebo. We used “music
of the brain” of different patients as a placebo. The results of this research
confirmed high efficiency of the method and showed that it is also absolutely
safe, as there were no indications of side effects or complications.” The method
“Music of the Brain” is officially recognized and has been awarded with a
certificate of Ministry of Health of the Russian Federation.47

It is still not completely clear how Music of the Brain works,
but it is safe to say that it is a combination of biofeedback, music therapy,
and resonance therapy, which is the process when brain “recognizes” its own
oscillations and as a result, the functional state of the brain improves.


The link
between object perception and brain activity in visual cortical areas is a
problem of fundamental importance in neuroscience. This competition asks you to
build machine learning models in Microsoft Cortana Intelligence Suite to decode
perceptions of human subjects from brain, specifically Electrocorticographic
(ECoG) signals. The learning model needs to predict whether the human subject
is seeing a house image (stimulus class 1) or a face image (stimulus class 2)
from the ECoG signals collected from the subtemporal cortical surfaces of four
seizure patients.

gray-scale images of houses (labeled as image class 1) or faces (labeled as
image class 2), were displayed in a random order on a screen to the patients.
ECoG signals were collected from the cortical surfaces of these patients during
the experiments. The competition is to decode visual perceptions of these
subjects from the ECoG signals, to predict whether the patient is seeing a
house image (class 1) or a face image (class 2).

Each image
stimulus is displayed to a patient for exactly 400 milliseconds, followed by a
400-millisecond inter-stimulus interval (ISI) where a blank image is displayed.
A stimulus presentation cycle consists of the 400-millisecond ISI, followed by
the 400-ms image stimulus. The ECoG signals were collected at the frequency of
1000 per second, i.e., every 1 millisecond there was a signal sample. Each
patient has exactly 300 stimulus presentation cycles. In this competition, we
share the ECoG signals of the first 200 stimulus presentation cycles and their
stimulus types (1-50 are different house stimulus (stimulus class 1 in this
binary classification task), and 51-100 are different face stimulus (stimulus
class 2 in this binary classification task)).

Similar work
on another set of 7 patients has been published at PLOS Computational Biology. The data we used in this competition
was provided by the author of this paper, Dr. Kai J. Miller. This data was
collected from 4 patients in the same experiment as the 7 patients in his
paper. These 4 patients do not overlap with the 7 patients. However, reading
through Dr. Miller’s paper may be helpful for you to understand the
experimental settings, the ECoG signals, and features that were created in the
machine learning experiment.



The essence of the method is that external sound effect is
implemented in the form of generation of musical sounds by parametric variation
of their tone, volume, and duration in criterial relation to variation of discrete
current values of characteristic generalized parameter of transformed biosignal
frequency spectrum, a bioelectric potential. From the recorded graphic data on
bioelectric activity time intervals of identical duration are isolated and
transformed, using the Fourier method, into frequency spectrum; for each
spectral interval, generalized dimensionless parameter is determined, in the
numerical interval between minimum and maximum values of this parameter a
proportional range of musical sound parameters is formed; for each spectral
interval, by its generalized parameter numeric values, appropriate parameters
of musical sound are determined and transformed, by means of a sound card, to
sound signals generated in sequence appropriate to originally recorded
alternation of time intervals. The generalized dimensionless parameter may be determined
by ratio of power spectral densities of at least two characteristic frequency
bands isolated in each spectral interval.


The recent development of 
Brain Music Therapy offers hope for an effective non-pharmacological
therapy for insomniacs. Brain music therapy establishes “the most effective
rhythmic and tonal parameters, creating meditative conditions in patients by
influencing brain neurophysiology.








May-June, p.330-335

Music Therapy Center, 330 West 58th Street, Suite 202, New York, NY 10019

Brain Music Therapy