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1 A THEORY OF THE MUSICAL ABILITY VARIATION BASED ON THE DISTRIBUTED AUDITORY PROCESSING FACILITATIONS TO THINK TONE IMAGES AND TO RECALL SOUNDS OF THE WORDS AND MELODIES BY READING THE NOTE SYMBOLS Music school MultiMusa, Tampere, Finland Kari Suoniemi Ph. D. 2012 Abstract This empirical research used statistical (SPSS) methods to determine whether people had differences in perceiving, discriminating and memorizing the basic elements of musical structures and whether these abilities are linked to musical and language thinking skill variation. Two experiments were conducted: musical ability test by Bentley, and identifying test of the familiar melodies without words. The task of students (N=201), choir vocalists (N=120) and control group (N=70) were to read note symbols and to recall and to identify the song names. The three questions asked were: 1) Do there exist significant musical test score differences between the three test groups: students, choir vocalists or control group measured by Bentley’s musical ability test? 2) How marked differences there exist between control group, student group and choir singers group when the task is to think tone images and to recall sounds of the words and melodies by reading the note symbols? 3) What are the physiological structures and distributed neural processes related to musical thinking skill variation to imaging auditory sounds and words by reading the note symbols? Results displayed significant differences between control group and choir singer group relating to musicality test success (p<.0001) and the ability to think and recall auditory tone images via note symbols (p<.0001). Results also suggests that musical thinking process to image and recall tone sounds and the words by reading note symbols are severely varied skill between test groups and that variation can be based on several distributed working memory facilitations. Author suggests a theory of the neural structures and connections between tone circles, articulatory loop, object association sensor, word memory presentation and melody schema memory presentation. Keywords: auditory sound image, word memory presentation, articulatory loop, memory recall, tone circle, object association sensor INTRODUCTION Ability to think (audiation) tone images or to hum sound patterns in inner mind is a complicated task to investigate because people appear to be highly subjective: emotionally, functionally and neuroanatomically. A practical try to reveal musical perception and auditory thinking ability differences is to measure how accurately people can hear and remember pitches, melodies, chords and rhythms and how these abilities are linked to different sound imaging and recalling abilities in auditory and language domains. Neurophysiologic studies have displayed that practicing music can have important consequences of the neural brain structures accounting not only musical perception abilities but in cognitive domains in general. For example musical training has hypothesized to facilitate pitch processing in language (Magne, Schön and Besson 2006) and improve to identify emotional prosody (Thompson, Schellenberg and Husain 2004). The studies obtained with magneto encephalography method have demonstrated that Broca’s area was not activated only by syntactic processing of linguistic phrases, but also by syntactic processing of musical phrases (Maess, Koelsch, Gunter and Friederici 2001). An important question of the musicality research has been related to the anatomy and function of Heschl’s gyrus (HG) and its sensory association areas. 2 Studies have displayed that musicians and non-musicians differ for the existence of specialized neural networks. This was accounted for the practise of motor skill or interpretative perception that is able to change the activity of the brain areas or the functioning locations (see Pantev, et al., 1998; Mazziotta, et al., 1982). What are these mental cognitive interpretative and physiological motor abilities linked to inner capacity to think words and auditory sounds? An answer could be the structures of the genetic and acquired based working memory facilitations. Working memory associates several different nucleuses and locations of the brain, which are suggested to be organized as distributed modular systems and subsystems (Fodor 1983; Peretz and Coltheart 2003; Piccirilli, Sciarma and Luzzi 2000). Fodor has supposed that these mental modules have the following characteristic properties: rapidity of operation, automatic, domain-specificity, informational encapsulation, neural specificity and innateness (Peretz and Coltheart 2003). Musical perception skills can become conscious by learning notes and chords but if language skills are compared to musical skills, it is obvious, that listening to music can be hypothesized to contain more unconscious neuronal features than language skills. Cued recall and briming (Squire 1987, 159) are effective when reading words. This means that looking at some first letter symbols of the word people can hear/see immediately the word sound image in their inner mind but when people look at a stream of the note symbols their do not usually perceive or hear the sound. In general people try to sing intervals between tones to identify or to learn a melody. Why reading of the note symbols is so difficult? Some studies suggest that tone-deaf people with impaired sound perception and production have reduced white matter connections. For example, the neural volume of the planum temporale and the reduced neural connectivity of the arcuate fasciculus are suggested to impair sound perception abilities (Ganong, 2005, 183; Loui, Alsop and Schlaug, 2009). There is not a common understanding of the connections between musical sensory tracts and language abilities although there have been lot of research that have displayed neurophysiological effects between language and musical perception functions (Levitin and Menon 2003; Koelsch 2005; Bizley and Walker 2009; Tervaniemi et al. 2009). For example dyslexia have suggested to be in connection to difficulties in perceiving rhythmic patterns in music or pulvinar is suggested to be an integration nucleus between optic and acoustic systems i.e. language and symbolic thinking process since it has reciprocal fiber connections between the cortex of the parietal lobe and the dorsal temporal lobe (Kahle and Frotscher 2010, 186). Present study is a combination of ethnomusicological, psychological and neurophysiologic research of musical tone thinking and memory abilities with a theory of the working memory facilitations. Study displays how profound musicality thinking and perception ability differences there are between people that have learned to read note symbols and people that do not have musical hobbies such as playing an instrument or singing in a choir. Materials and Method Subjects The questionnaire was given to secondary school students (N=201) aged 15 to16 years, choir vocalists (N=120) aged 30 to 55, and control group (N=70) aged 30 to 3 50 years. Students were not involved in music-oriented school education. They formed a good random sample of young Finnish people who mostly listened to techno, rap and rock/pop music. Those in the control group did not personally participate in musical activities and cannot name C major scale notes. They listened for the most part to rock/pop, classical music and popular hits. Choir vocalists listened to many different musical styles, probably due to their vast choir repertoire. They listened to, for example, classical, rock/pop, popular hits, opera, folk and jazz music. Test materials The two tests demonstrated were: 1) Bentley’s (1966) musical ability test, which measured perceptual and memory abilities such as: pitch discrimination ability, tonal perception and memory ability, chord perception (analysis) ability and rhythmic perception and memory ability (see Suoniemi 2008, 286 – 288). 2) Note samples of the four first bars by the five familiar melodies with the list of the seven song names (see 2008, 285). Procedure The students were tested in classroom settings during a school hour. The students’ desks were far enough apart to prevent answers being copied from each other. Choir vocalists were tested in their rehearsal amenities, and the control group in the auditorium of Metso Library. The music ability test by Bentley involved listening tasks from a cassette tape with English language instructions lasting some 35 minutes. The Finnish language version of the instructions was displayed on the blackboard. Next was given the note samples of the five melodies without words and the list of the seven song names. People were asked to hum melodies and to identify them by numbering related tone symbols and song names. Results The results suggest that people in general have extensive ability differences to perceive, discriminate and memorize the details of the musical test items and that these differences exists already in 15-years-olds people. It is difficult to estimate how much genetic heritage or musical exercises declare the significant difference between the choir vocalists group and the control group. Choir vocalists have systematically higher scores in all subtest parts, in particular, pitch discrimination test scores and tonal memory test scores are significantly higher and their standard deviation lower compared to the student group or the control group (Table 1). For example, there is only 2.3 scores deviation of the means between the students and the control group, but 10.9 score deviation between the control group and the choir vocalist group (this being significant, p<.0001). Table 1. The test score distribution of the three test groups measured by Bentley’s musical ability test 4 TEST GROUPS Students Choir vocalists Control group Total TONAL MEMORY TEST (MAX. 10) 201 6.6 2.1 CHORD ANALYSIS TEST (MAX. 20) N Mean Std. D. PITCH DISCRIMINAT ION TEST (MAX. 20) 201 14.1 4.1 201 11.3 3.1 RHYTHMIC MEMORY TEST (MAX. 10) 201 7.6 2.2 TOTAL SCORE (MAX. 60) 201 39.6 8.5 N Mean Std. D. 120 17.0 2.4 120 8.5 1.2 120 13.6 3.2 120 8.7 1.4 120 47.8 6.4 N Mean Std. D. 70 13.1 4.3 70 6.0 2.5 70 10.6 2.9 70 7.2 2.1 70 36.9 8.2 N Mean Std. D. 391 14.8 4.0 391 7.1 2.2 391 11.9 3.3 391 7.9 2.0 391 41.6 8.9 It is probable that significant difference between choir vocalists and control group is derived from the ability to image, manipulate and repeat tonal sounds clearly and accurately in the inner thought process. I suppose, however, that the musical competence is in relation to the several different working memory facilitations (see list page 5). The second test was revealing the group of extra musical abilities related on inner thinking process of the note symbols and memory recall of the tone images and the song words. Table 2. The test score distributions of the right identified melodies based on the auditory thinking skill and recall of the tone images and the words by reading the note symbols. The counts and percents of the right identified melodies related to right Total song names (max.5) Test groups Students Choir vocalists Control group Total 0 1 2 3 4 5 43 38 24 18 17 32 172 25,0 % 22,1 % 14,0 % 10,5 % 9,9 % 18,6 % 100 % 2 1 3 8 15 91 120 1,7 % ,8 % 2,5 % 6,7 % 12,5 % 75,8 % 100 % 19 10 11 6 12 10 68 27,9 % 14,7 % 16,2 % 8,8 % 17,6 % 14,7 % 100 % 64 49 38 32 44 133 360 17,8 % 13,6 % 10,6 % 8,9 % 12,2 % 36,9 % 100 % Exercising to read note symbols can explain to much better test scores of the choir vocalists group but not (Table 2) the control group’s quite high (14.7 %) percents to identify the right melodies although they were not able to read notes. Results suggest that the inner thinking process to image tone sounds and words related to note symbols are possible without exercising or knowing the names of the note symbols. However, the inner tone imaging ability is severely varied because 27.9 % of the people in the control group were not able to identify any song. 5 Discussion Musicality test (Table 1) displayed that there were significant test score differences between the choir vocalist and the control group. Bentley’s musical ability test is measuring pitch, tone and rhythmic discrimination accuracy and memory abilities. For example, person’s task in the tonal memory subtest was to verify which one of the five tones have been changed between the first and second played versions. Thus, the working memory capacity to repeat, to verify and to recall tones from the schematic memory are necessary factors linked to tone thinking and humming processes. Thinking ability to hear tone images in inner mind contains not only sounds of the tones but also the sounds of the words that are recalled from the schematic memory. Cued recall is an important factor of the schema memory presentation of the melodies and the words presentation because familiar sound images are easer to recall to conscious mind by the facilitation of the priming effect. A theory to process and to image auditory sounds by reading note symbols can be linked to distributed and associative neural tracts of the auditory cortex. I suppose that physiological and mental processes to image, to recall and to manipulate several different tone sound images in inner thinking process contains at least eight partially distributed abilities that can be comprehended as working memory facilitations. A list of these thinking and memory facilitations can be tentatively stated as follows: 1. 2. 3. 4. 5. 6. 7. 8. An ability to think a sound image of the distinct interval An ability to think a sound image of the distinct rhythmical figure An ability to think a sound image of the distinct pitch and timbre An ability to remember and recall a word of the song An ability to remember and recall the tones of the distinct melody An ability to sense emotional associations of the melodies and words An ability to pronounce a right articulation of the distinct word An ability to learn a new melody This complicated group of perception and thinking abilities are suggested to be distributed in musical impairment or deficit studies (see Wertheim and Botez 1961; Piccirilli, Sciarma and Luzzi 2000; Halpern 2001; Suoniemi 2008). It is apparent that a person who suffers from amusia or dementia can have one or more deficits linked to these musical thinking, learning and memory abilities. For example a person who has lost his or her ability to speak may still have the ability to sing melodies with words. This could be possible if articulatory loop and tone circle are able to recall and associate the melody schema presentation and the word memory presentation to function in concert (see Figure 1). I suppose that there are studies describing the tone sequence’s (circles) hierarchical locations. For example a study (Patterson et al., 2002) suggests the hierarchical system of the auditory nerve construction as follows: (1) the extraction of time-interval information from the neural firing pattern in the auditory nerve construction probably occurs in the brainstem and thalamus. (2) Determining the specific values of a pitch and its salience from the interval occurs in lateral HG. (3) The pitch changes in discrete steps and tracking the changes in a melody occur 6 beyond auditory cortex in STG and/or lateral planum polare (see Hall et al. 2002; Griffiths et al. 2001; Wessinger et al. 2001). One of the most important phenomenons of the tone circle is its spectral processing capacity that means of our general ability to discriminate different sound timbers and instruments. The interpretative functions of the temporal lobe and angular gyrus are usually highly developed in one cerebral hemisphere, which is called the dominant or categorical hemisphere. Long superior and inferior association fibers connect frontal lobe, temporal and parietal lobes (Kahle & Frotscher 2010, 262) and their connections probably display an important part of the conscious thinking process of the tone heights and timbres. A research of the amusic people suggests that they could have limited awareness of the semitone pitch differences because neural pitch representation cannot make contact with the musical pitch knowledge along the auditory-frontal neural pathway (Peretz et al., 2009). It is likely that a person who cannot think the tone images of the scales and semitone intervals is not able to sing a song in tune. This could be often true because out of tune singers are not aware of their singing accuracy. The angular gyrus behind the Wernicke’s area appears to process information from words in such a way that they can be converted in to the auditory forms (Ganong 2005, 274). An essential fiber track is a projection from Wernicke’s area via the association fibers to Broca’s area and to the motor cortex that initiates the appropriate movements of the lips, tongue and larynx because it is obviously related to singing with articulated words of a melody. A (PET) study suggests that the supplementary motor area (SMA) was activated with humming strategy during imagery generation (Halpern 2001). Thus, the supplementary motor area of the tongue and the lips can be prerequisite to the inner imagery and humming processes. Based on several researches it seems likely that musical abilities contain several distributed or modular systems. Figure 1 presents an idea of the distributed system that contains the tone circle and its relation to the phonological circle, object association sensor and word presentation memory (see Freud 1991, 183; Baddeley 1984; Posner and Raichle 1994, 116). Phonological circle representing Broca’s area, tone circle Heschl’s gyrus and object association sensor thalamus. Working memory process phonological circle (interpretative) tone circle (periodicity) articulatory loop word images word presentation memory object association sensor auditory sound images melody schema presentation memory Figure 1. A simplified neural description of the tone thinking processes where object association sensor transmits tone images, memory recall and synchronise melody schema presentation and language memory presentations. 7 The meaning of the object association sensor is to connect and to transmit neural information between secondary sensory areas different motor sensory areas between memory presentations. Tone circle’s original meaning may be seen as an older communication device that man has used in ancient time when phonological circle was still poorly developed. Notice that tone circle can transmit information not only by pitches but by means of sound timber and rhythmic stress. In this model the object association sensor and the articulatory loop can connect mutual sensory functions between language and musical sound domain. But, it can be considered too that the tone circle and the phonological circle can function quite properly without each other. Thus, a person can sing a song with words but can not speak an interpretative words or reasonable sentences. Does this kind of deficit mean that tone circle can transmit word’s sounds but not their meanings? Present study displays that musical talent can be a group of the musical abilities, which are based on inner tone imaging, recalling, learning and memory capacities manipulated by the working memory facilitations. It is likely that there are lot of musical ability variations among ordinary people because one improperly factor of this ability group can weaken working memory facilitations and imaging process. Musicality test scores indicated that all four perception accuracy abilities: pitch discrimination, tonal memory, chord analysis and rhythmic memory tests have systematic variation between the test groups. Results are suggesting that there are neural developmental sensory differences between these eight facilitations that can account for musical ability variation. However, it is probable that concentration, volition and awareness can have physically powerful effect on these facilitations. If musical ability differences are normally distributed genetic based phenomenon among population it would be expected that we have neuronal differences, which are a part of the subject’s personality. Thus, it is likely that 17% of the normal population (Cuddy et al.,2005) that have self-identified to be as tone deaf can be in a range of the normal distribution. It is quite unlikely that deviations of the low and the high musicality perception and sound imaging abilities are a mental talent controlled only a few genes (Suoniemi 2010) but the group of several distributed abilities and a group of the several chromosomes, which are controlling distributed sensory and cognitive instincts, individual emotional excitations and imaging capabilities of the words and the auditory sounds. Brain consist highly complex circuits that communicate using electrical and chemical signals. An important auditory nerve centre is thalamic nuclear organisation, which task is to control the timing of the electrical signals between memory recall and tone sound images. Maybe it is possible in the near future to trace these physical circuits and explain musical ability variations by means of the structural effects of the genetic variation. It is likely that distributed neural structure is a helpful model to explain a complicated parallel perceptual thinking and memory processes between auditory and language domains. REFERENCES Baddeley, A.D. (1984). Working memory. Psychological Medicine, 14, 265 – 271. Bentley, A. (1966). Musical Ability in Children and its Measurement. George G. Harrap & Co.Ltd. Bizley. J.K., & Walker. K.M.M. (2009). Distributed Sensitivity to Conspecific Vocalizations and Implications for the Auditory Dual Stream Hypothesis. The Journal of Neuroscience, Marsh 11, 29(10), 3011 – 3013. 8 Cuddy, L.L, Balkwill, L.L, Beretz, I, & Holden, R.R. (2005). Musical difficulties are rare: a study of “tone deafness” among university students. Ann N Y Acad Sci 1060:311 - 324. Fodor, J. (1983). The Modularity of Mind. MIT press, Cambridge, Massachusetts. Freud, S. (1991). The Essentials of Psycho-Analysis: the definitive collection of Sigmund Freud’s writings. Penguin books. Ganong, W. F. (2005). Review of Medical Physiology. The McGraw-Hill Companies, Inc. Gates, A. & Bradshaw, J.L. (1997). The role of the cerebral hemispheres in music. Brain Language. 4, 403- 31. Griffiths, T.D., Uppenkamp, S., Johnsrude, I., Josephs, O., & Patterson, R.D. (2001). Encoding of the temporal regularity of sound in the human brainstem. Nat. Neurosci, 4, 633 – 637. Hall, D.A., Johnsrude, I. J., Haggard, M.P., Palmer, A. R., Akeroyd, M. A., & Summerfield, A. Q. (2002). Spectral and temporal processing in human auditory cortex. Cereb. Cortex. 12, 140 – 149. Halpern, A.R. (2001). Cerebral substrates of musical imagery. Annals of the New York Academy of Sciences, 930, 179- 192. Jeffries, J.K., Fritz, J.P., & Braun, A.R. (2003). Words in melody: an H215O PET study of brain activation during singing and speaking. Neuroreport, vol. 14, No 5. Kahle, W., & Frotscher, M. (2010). Nervous System and Sensory Organs. Thieme Flexibooks. Stuttgart, New York. Koelsch, S. (2005). Neural substrates of processing syntax and semantics in music. Current Opinion in neurobiology 15, 207 – 212. Levitin, D.J., & Menon, V. (2003). Musical structure is processed in ”language” areas of the brain: a possible role for Brodmann Area 47 in temporal coherence. NeuroImage 20, 2142 – 2152. Loui, P., Alsop, D. & Schlaug, G. (2009). Tone Deafness: A New Disconnection Syndrome? The Journal of Neuroscience, 29(33):10215 – 10220. Magne, C., Schon, D. & Besson, M. (2006). Musician children detect pitch violations in both music and language better than nonmusician children: behavioral and electrophysiological approaches. J. Cogn. Neurosci., 18, 199 – 211. Maess, B., Koelsch, S., Gunter, TC., & Friederici, AD. ( 2001). Musical syntax is processed in Broca’s area: an MEG-study. Nat Neurosci 2001, 4:540 – 545. Mazziotta. J.C., Phelps, M.E., Carson, R.E., & Khul, D.E. (1982). Tomographic mapping of human cerebral metabolism: Auditory stimulation. Neurology 32, 921- 937. Pantev, C., Oostenveld, R., Engelien, A., Ross, B., Roberts, L.E., & Hoke, M. (1998). Increased auditory cortical representation in musicians. Nature Vol. 392, 811 – 814. Patterson, R.D., Uppenkamp, S., Johnsrude, I.S. & Griffiths, T.D. (2002). The Processing Pitch and Melody Information in Auditory Cortex. Neuron, Vol. 36, 767 – 776. Peretz, I. & Coltheart, M. (2003). Modularity of music processing. Nature Neuroscience vol. 6 no. 7. Nature Publishing Group. Peretz, I., Brattico.E., Järvempää, M., & Tervaniemi. M. (2009). The Amusic brain: in tune, out of key and unaware. Brain 2009 132(5):1277 – 1286. Piccirilli, M., Sciarma, T., & Luzzi, S. (2000). Modularity of music: evidence from a case of pure amusia. J Neurol Neurosurg Psychiatry 69, 541 – 545. Posner, M, I. & Raichle, M, E. (1999). Images of Mind. W.H. Freeman and Company, New York. Squire, L.R. (1987). Memory and Brain. Oxford University Press. Suoniemi, K.(2008). Havaintokyky, musikaalisuus ja musiikinkuuntelukokemukset. Tampereen yliopisto. Juvenes Print. http://www.karisuoniemi.com Suoniemi, K. (2010). A Nature of genetic variation linked to musical sensory perceptual accuracy deviations and emotional excitations between healthy and diagnosed people. http://www.karisuoniemi.com Tervaniemi, M., Kruck, S., De Baene, W., Schronger, E., Alter, K., and Friederici, A.D. (2009). Top-down modulation of auditory processing: effects of sound context, musical expertise and attentional focus. Eur.J.Neurosci.30, 1636 – 1642. Thompson, W.F., Schellenberg, E.G. & Husain, G. ( 2004). Decoding speech prosody: do music lesson help? Emotion, 4, 46 – 64. Wertheim, N.& Botez, M.I.,(1961). Receptive amusia: A clinical analysis. Brain 84, 19 – 30. Wessinger, M., Van Meter, J., Tian, B., Pekar, J., & Rauschecker, J.P. (2001). Hierarchical organisation of the human auditory cortex revealed by functional magnetic resonance imaging. J. Cogn. Neurosci. 13, 1 – 7.