In this paper we present aboutBrain Music Therapy and brief detail about the working of it in improving one’smental strength. Oneprobably know what music he or she  likesthe best and what it does to them, but did anyone know there is one ultimatesoundtrack you can access that will insure their absolute best results andfully optimize your mind wherever they go, whatever they do? That soundtrack ismusic made from your own brain waves.

This may sound strange, but it’s real, andit works.This music is known as BRAIN MUSIC THERAPY (BMT). In this paper weare going to see about BMT, its merits, how IT helps to decode it.Keywords:Neuro feedback,psychiatry, EEG, Brainwaves.INTRODUCTIONBrain 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 andconverts them into unique musical sounds.

These musical sounds correlate tobrain waves that promote relaxation and trigger activation in your body. Themusical sounds are presented to you in the form of two musical files – onerelaxing, and one activating. Playing those files promotes relaxation andactivation in your body.Brain Music Therapy does not involve taking pills, and has had noside effects to date. It is customized to an individual’s unique brain wavesand backed by solid scientific evidence, including double blind studies.WHY BMT ?The treatment is simple and easy: listening to the music made byyour own brain waves.BMT is one of the form of biofeedback, neurofeedback, wherebrain waves tend to recognize themselves when you ‘hear’, ‘play’ them back toyourself.When this happens, your brain waves are more responsive,allowing you to more accurately manipulate them, raising or lowering theirfrequency to your desire.

Therefore, music generated from your own brain wavesallows you to experience longer-lasting, more sustainable effects thanlistening to other music.As a result, you can use your own brain waves, yourultimate 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 ownand wherever and whenever you want.Just put your soundtrack on your iPod, MP3player, or cell phone, and don’t carry your optimal mindsets with you in yourpocket!And of course, like any other training program, to make your treatmentsuccessful 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 morerelaxed and yourself a less anxious, more balanced person, who sleeps muchbetter.When you practice listening to your activating track, your brain waveswill be trained to reach your optimal alertness, even per specific situationsif you choose to train that way, so you’ll feel energized, optimized and happyand you will focus and perform better. Extensive clinical experience shows thatBMT is effective in helping you achieve alertness, calmness, improved organizationalskills, emotional strength, improved mood, and sharpened memory.

Many peoplehave reported that they have been able to reduce and even completely eliminatetheir need for sleep and anti-anxiety medications as a result of BMT.The best part is that BMT, like all your playlist tunes, isnoninvasive, has no negative side effects, and is enjoyable. It’s much morecost effective than most medication.

You can also use it just like you wouldany other playlist. You can download it onto your iPod, with all your otherplaylists, and carry it right in your pocket.ORIGINBrain music therapy was developed in the early 1990s, at theMoscow Medical Academy, in Russia, the same place where the iconic physiologistDr. Ivan Pavlov launched the basics of neurophysiology. Yes Brain Music Therapyis a form of Neurofeedback, Biofeedback, which initially was build on classicalthen operant conditioning, terms from school and college. In  this paperwe present about the merits of using Brain Music Therapy.BRAIN MUSIC IN THE TREATMENTOF PATIENTS WITH INSOMNIAThe effects of a new nonpharmacological method of treatinginsomnia — “brain music” — were studied.

The method is based on thetransformation of the EEG into music using a special algorithm developed by theauthors. Sleep polygrams were recorded and analyzed, and EEG segmentscorresponding to different sleep phases were identified using standardcriteria, and were transformed into music. Patients listened to the resultingaudiocassettes before going to sleep. Clinical, questionnaire, psychological,and electro-physiological (polysomnographic, electroencephalographic) methodswere used before and after 15-day treatment courses in 58 patients withinsomnia, who were divided into two groups: group 1 (44 patients) formed theexperimental group, and group 2 (14 patients) formed the “placebo” group (inwhom the “brain music” of a different patient was used).

“Brain music” wasfound to have positive effects in more than 80% of the insomniac patients bothfrom the point of view of subjective sensations and in terms of objectivestudies, i.e. neuropsychological and neurophysiological investigations. Thehigh efficacy of “brain music” in patients with insomnia was combined with anabsence of side effects and complications.INTRODUCTIONTO QUANTITATIVE EEG AND NEURO FEEDBACK: ADVANCED THEORY AND APPLICATION When the first edition of Introduction to Quantitative EEGand Neurofeedback was published in 1999, it was the only book availableproviding a broad overview of the field of neurofeedback (NF) and the use ofquantitative EEG (QEEG) in relation- ship to that field.Although since then atleast three other texts have been published which deal in depth withneurofeedback (and, to some degree, with QEEG), the many recent advances inneurofeedback-related areas warrant an updated second edition. Since the basicsof QEEG and neurofeedback are available elsewhere, the chapters in this editionemphasize recent thinking regarding mechanisms of efficacy of NF, advances inQEEG and its application to NF, advances in use of neurofeed- back with manydisorders covered in the first edition as well as new clinical appli- cations,current status of auditory-visual entrainment (AVE) and other procedures oftenused in conjunction with traditional NF, and an update on ethical concerns inthe practice of NF.

As with the first edition,chapters are authored by currentleaders in the field, many of whom are among the early “pioneers.”The last ten years have seen a rapid growth ofthe field of NF both in the US and internationally. Practitioners can be foundin at least 27 countries, and membership of the International Society forNeurofeedback and Research (ISNR) has grown by 51% during the past five years.

Keeping pace with this growth has been the evolution of clinical practice andresearch. New QEEG databases have been developed, and older ones refined withthe addition of new measures of potential clinical relevance (e.g. phase reset,co-modulation). Older and newer QEEG measures of neural connectivity havereceived increasing attention, and improved methods of determining cortical andsub-cortical areas of dysfunction from the EEG (e.g.

LORETA) are now available. OPERATIONAL  STUDY TO EVALUATE MUSIC-BASED NEUROTRAININGAT IMPROVING SLEEP QUALITY, MOOD, AND DAYTIME FUNCTION IN A FIRST RESPONDERPOPULATION The objective of this study was to determine if a music-basedintervention could be success- fully used by a group of law enforcementofficers and firefighters to improve measures of sleep quality, mood, anddaytime function. The Wellness Program Study included 41 male and female firstresponders who volunteered to participate in the 8-week study investigating theuse of a music-based neurofeedback therapy known as Brain Music (BM). Creatingthe individualized BM recordings required 5 min of brain wave activity from 4sensors located at F3, F4, C3 and C4 sites. The music consisted of two MP3files, one for activating and the other for relaxing, where the ratios of peakfrequencies in the delta (1–4 Hz) through beta (up to 30 Hz) EEG bands wereused to select the notes used and their characteristics (e.g., duration, pitch,amplitude, and symmetry) as a means to individualize the compositions for eachsubject.

Results of the study indicated statistically significant improvementsin 4 behavioral measures: sleep quality (94%), insomnia (89%), mood (74%), anddaytime func- tion (82%). These results extend earlier insomnia research ofmusic therapy applications from the clinic into an operational setting and laythe groundwork to address many questions concerning neurofeedback interventionstargeting stress management and improved job performance. The implication ofthis study goes beyond the utility of BM in the first responder setting to abroader audience because many persons suffer from sleep problems thatnegatively impact daytime function and work performance.

  WORKING OF BMTBrain Music Therapy finds, records, and reinforces brainwaves that are associated with various physiological parameters, such as heartrate and muscle tension.TheProcedure:1.      Thephysician provides a brief medical evaluation.2.      Thepatient fills out two questionnaires: Beck Depression Inventory and SubjectiveSleep Scale3.      Theindividual’s key brain wave patterns are recorded using EEG equipment. Therecording time is about 5 to 10 minutes, and the duration of the entireprocedure is approximately 20-25 minutes. The procedure is painless andnon-invasive.

4.      Foran optimal recording, patients have to keep still and attempt to bringthemselves to a relaxed state.5.      Theindividual’s brain wave patterns are processed through algorithms, whichextract key healing rhythms, and translate them into a sound-based format oftwo musical compositions.6.      Inapproximately 3-4 weeks, the patients receive their personal brain music CD,which includes recommendations by a licensed physician.

THE BRAIN MUSIC COMPILERA “brain-sound compiler” that transformed 16-channel EEG46traces into music. Equipped with 18 different transformation logarithms andcapable of creating changes in tempo, varying the volume of each channel,transposing the music of each channel to different octaves, changing musicalparameters (eg, legato or staccato), adding major and minor chords, andanalyzing the note patterns of each channel, the brain-sound compiler soundslike just another sequencing synthesizer. What makes it totally unique is thatthe sound source and sequence are EEG-recorded brainwave patterns. Why go toall this trouble for a musical composition? Apparently for thenon-pharmalogical treatment of insomnia, anxiety (i.e., panic disorder, socialphobia, generalized anxiety disorder, or post-traumatic stress disorder),depression, Attention Deficit Hyperactivity Disorder, or migraine and tensionheadaches.THENYC / MOSCOW CONNECTIONA Russian psychiatrist in NYC measures your brainwaves, emailsthem to her old professor in Moscow where they are put through a brain-soundcompiler.

Two compositions (relaxation and energizing) are created anddigitally sent back to NY. For about $500 you now have a CD with the musicalcorrespondences of your unique brainwave pattern.This author has not heard BMT or spoken directly with any of theprinciples. But what I surmise is that what we have in this invention is asynthesized soundtrack with all parameters triggered by an individual’spreviously recorded brainwaves. These questions come to mind: Are thesesoundtracks safe, what’s the benefit to the listener, and how does it createthis effect? “In order to proveefficiency and safety of the method “Music of the Brain” and to meet therequirements, we performed a double blind research with placebo.

We used “musicof the brain” of different patients as a placebo. The results of this researchconfirmed high efficiency of the method and showed that it is also absolutelysafe, as there were no indications of side effects or complications.” The method”Music of the Brain” is officially recognized and has been awarded with acertificate of Ministry of Health of the Russian Federation.47It 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 ownoscillations and as a result, the functional state of the brain improves.DECODINGThe linkbetween object perception and brain activity in visual cortical areas is aproblem of fundamental importance in neuroscience.

This competition asks you tobuild machine learning models in Microsoft Cortana Intelligence Suite to decodeperceptions of human subjects from brain, specifically Electrocorticographic(ECoG) signals. The learning model needs to predict whether the human subjectis 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 fourseizure patients.300gray-scale images of houses (labeled as image class 1) or faces (labeled asimage 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 duringthe experiments. The competition is to decode visual perceptions of thesesubjects from the ECoG signals, to predict whether the patient is seeing ahouse image (class 1) or a face image (class 2).Each imagestimulus is displayed to a patient for exactly 400 milliseconds, followed by a400-millisecond inter-stimulus interval (ISI) where a blank image is displayed.A stimulus presentation cycle consists of the 400-millisecond ISI, followed bythe 400-ms image stimulus. The ECoG signals were collected at the frequency of1000 per second, i.

e., every 1 millisecond there was a signal sample. Eachpatient has exactly 300 stimulus presentation cycles.

In this competition, weshare the ECoG signals of the first 200 stimulus presentation cycles and theirstimulus types (1-50 are different house stimulus (stimulus class 1 in thisbinary classification task), and 51-100 are different face stimulus (stimulusclass 2 in this binary classification task)).Similar workon another set of 7 patients has been published at PLOS Computational Biology. The data we used in this competitionwas provided by the author of this paper, Dr. Kai J. Miller.

This data wascollected from 4 patients in the same experiment as the 7 patients in hispaper. These 4 patients do not overlap with the 7 patients. However, readingthrough Dr. Miller’s paper may be helpful for you to understand theexperimental settings, the ECoG signals, and features that were created in themachine learning experiment. NEURO PSYCHIATRYThe essence of the method is that external sound effect isimplemented in the form of generation of musical sounds by parametric variationof their tone, volume, and duration in criterial relation to variation of discretecurrent values of characteristic generalized parameter of transformed biosignalfrequency spectrum, a bioelectric potential. From the recorded graphic data onbioelectric activity time intervals of identical duration are isolated andtransformed, using the Fourier method, into frequency spectrum; for eachspectral interval, generalized dimensionless parameter is determined, in thenumerical interval between minimum and maximum values of this parameter aproportional range of musical sound parameters is formed; for each spectralinterval, by its generalized parameter numeric values, appropriate parametersof musical sound are determined and transformed, by means of a sound card, tosound signals generated in sequence appropriate to originally recordedalternation of time intervals. The generalized dimensionless parameter may be determinedby ratio of power spectral densities of at least two characteristic frequencybands isolated in each spectral interval.

CONCLUSION                                                                                                                                                           The recent development of Brain Music Therapy offers hope for an effective non-pharmacologicaltherapy for insomniacs. Brain music therapy establishes “the most effectiverhythmic and tonal parameters, creating meditative conditions in patients byinfluencing brain neurophysiology.       REFERENCENEUROSCIENCE AND BEHAVIORAL PHYSIOLOGY 1998, Vol.

28, No. 3,May-June, p.330-335BrainMusic Therapy Center, 330 West 58th Street, Suite 202, New York, NY 10019


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