{"id":1239,"date":"2021-01-23T18:35:36","date_gmt":"2021-01-23T18:35:36","guid":{"rendered":"https:\/\/www.musicianscience.org\/?p=1239"},"modified":"2021-01-23T18:35:37","modified_gmt":"2021-01-23T18:35:37","slug":"the-brain-has-a-tonality-map-and-its-dynamic-not-static","status":"publish","type":"post","link":"https:\/\/www.musicianscience.org\/index.php\/the-brain-has-a-tonality-map-and-its-dynamic-not-static\/","title":{"rendered":"The brain has a tonality map &#8211; and it\u2019s dynamic, not static"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"807\" height=\"372\" src=\"https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-title.png\" alt=\"\" class=\"wp-image-1254\" srcset=\"https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-title.png 807w, https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-title-300x138.png 300w, https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-title-768x354.png 768w\" sizes=\"auto, (max-width: 807px) 100vw, 807px\" \/><\/figure>\n\n\n\n<p><strong>Title of paper under discussion<\/strong><\/p>\n\n\n\n<p>The Cortical Topography of Tonal Structures Underlying Western Music<\/p>\n\n\n\n<p><strong>Authors<\/strong><\/p>\n\n\n\n<p>Petr Janata, Jeffrey L. Birk, John D. Van Horn, Marc Leman, Barbara Tillmann, Jamshed J. Bharucha<\/p>\n\n\n\n<p><strong>Journal<\/strong><\/p>\n\n\n\n<p>Science, vol 298, pp 2167-2170 (2002)<\/p>\n\n\n\n<p><strong><a rel=\"noreferrer noopener\" href=\"https:\/\/atonal.ucdavis.edu\/publications\/papers\/Janata_etal_2002_Science.pdf\" target=\"_blank\">Link to paper<\/a> (free access)<\/strong><\/p>\n\n\n\n<p><strong>Overview<\/strong><\/p>\n\n\n\n<p>Using functional magnetic resonance imaging (fMRI) Janata and his colleagues identified a region towards the front of the brain &#8211; the rostromedial prefrontal cortex &#8211; that is sensitive to tonality.  During a listening experiment, different small areas within this region were sensitive to different keys, eg area 1 to A minor, area 2 to D flat major etc.  But when the experiment was repeated those areas, though still responding to tonality, were not necessarily still sensitive to the same key as before &#8211; area 1 might now be sensitive to A flat major, area 2 to F sharp minor.  Hence, claim the authors, the \u2018tonality structure\u2019 is maintained as a \u2018dynamic topography\u2019, situated in a brain region known to be connected to other regions processing emotion, thought and sensation.<\/p>\n\n\n\n<p><strong>Introduction &#8211; tonality and the torus <\/strong><\/p>\n\n\n\n<p>The relationship between keys in Western tonal music can be represented by the circle of fifths:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"970\" height=\"546\" src=\"https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-5ths.jpg\" alt=\"\" class=\"wp-image-1247\" srcset=\"https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-5ths.jpg 970w, https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-5ths-300x169.jpg 300w, https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-5ths-768x432.jpg 768w\" sizes=\"auto, (max-width: 970px) 100vw, 970px\" \/><\/figure>\n\n\n\n<p>as a lattice work:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"411\" src=\"https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-lattice.png\" alt=\"\" class=\"wp-image-1248\" srcset=\"https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-lattice.png 800w, https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-lattice-300x154.png 300w, https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-lattice-768x395.png 768w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><figcaption><strong><em>Above: Image by <a href=\"https:\/\/commons.wikimedia.org\/wiki\/File:Neo-Riemannian_Tonnetz.svg\" target=\"_blank\" rel=\"noreferrer noopener\">Watchduck<\/a><\/em><\/strong><\/figcaption><\/figure>\n\n\n\n<p>or, three dimensionally, on the surface of a rubber ring (mathematically speaking a \u2018torus\u2019):<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"506\" height=\"266\" src=\"https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus.png\" alt=\"\" class=\"wp-image-1249\" srcset=\"https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus.png 506w, https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-300x158.png 300w\" sizes=\"auto, (max-width: 506px) 100vw, 506px\" \/><figcaption><strong><em>Above: image from <a href=\"http:\/\/doc.ml.tu-berlin.de\/bbci\/publications\/PurBlaObe08.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a><\/em><\/strong><\/figcaption><\/figure>\n\n\n\n<p>Janata and his colleagues, working in Dartmouth College, USA, used this tonality-sensitive torus as a \u2018graphic\u2019 for this paper.  Imagine playing tonal music to a blank version of this torus &#8211; and if it was in C major, the C major-sensitive area of the torus would go deep red (with areas sensitive to related keys more yellow or green and so on down the spectrum); if it was in G minor the G minor-sensitive area would go deep red, and so on.  But instead of showing the torus in 3D, imagine now slicing through the \u2018trunk\u2019 of the rubber ring then opening the whole thing out, so it becomes a flat sheet of \u2018rubber\u2019.  It still depicts the C major, G minor etc areas, but now in 2D rather than 3D.  This is the graphic Janata uses to display tonal-sensitivity, an opened-up rubber ring (or \u20182D torus\u2019).<\/p>\n\n\n\n<p>For this study the research team used a piece of music that \u201csystematically modulated through all 12 major and minor keys\u201d.  As the piece was played to the (computer-generated, tonality-sensitive) \u20182D torus\u2019, the activity on the torus constantly changed in line with the changing tonality.  Here are all 24 keys, with pictures of the average activity pattern during each key\u2019s time window depicted below:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"337\" height=\"467\" src=\"https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-fig-1.png\" alt=\"\" class=\"wp-image-1250\" srcset=\"https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-fig-1.png 337w, https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-fig-1-216x300.png 216w\" sizes=\"auto, (max-width: 337px) 100vw, 337px\" \/><\/figure>\n\n\n\n<p>So each moment in the piece elicits a pattern on the 2D torus.  When the same piece was played to a living breathing participant, and a particular brain area was excited by particular moments in the piece, the average \u20182D torus pattern\u2019 described by those moments was used to illustrate that brain area\u2019s tonality sensitivity (see later).<\/p>\n\n\n\n<p><strong>Experiment &#8211; method<\/strong><\/p>\n\n\n\n<p>8 musically experienced listeners underwent fMRI scanning as they listened to the constantly modulating piece of music described above.  They performed a tonality-listening task during the experiment to ensure they were concentrating on the tonality of the music. [They then performed a different listening task so that statisticians, who were looking specifically for \u2018tonality-related\u2019 brain activity, could remove \u2018task-related\u2019 activity from the scans in their analysis]. <\/p>\n\n\n\n<p>The same listeners returned the following week, and the week after that, to go through the exact same procedure.<\/p>\n\n\n\n<p><strong>Results<\/strong><\/p>\n\n\n\n<p>Tonality-related brain activity was shown to be mainly localised in a region of the brain called the rostromedial prefrontal cortex (RPC), \u201cprimarily in the rostral [front] and ventral [underneath] reaches of the superior frontal gyrus\u201d:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/Sperior_frontal_gyrus_animation.gif\" alt=\"\" class=\"wp-image-1252\"\/><figcaption><strong><em>Above: superior frontal gyrus (image from Body Parts 3D, licence <a href=\"https:\/\/commons.wikimedia.org\/wiki\/File:Superior_frontal_gyrus_animation_small.gif\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>)<\/em><\/strong><\/figcaption><\/figure>\n\n\n\n<p>Each listener exhibited areas of tonality-sensitivity in their RPC, with different areas (represented as individual voxels on the fMRI scan) sensitive to different tonalities in the piece of music.  So, for instance, one area might \u2018light up\u2019 mainly when the piece moved into B major, and another mainly when the piece was in F minor. Moreover, each listener\u2019s pattern was unique.  And further still, each individual listener\u2019s pattern often changed from trial to trial, so that, for instance, an area that was sensitive to B major might in the next trial be sensitive to E major instead.  So, in the words of the authors, \u201cwhat changed between sessions was not the tonality-tracking behaviour of these brain areas but rather the region of tonal space (keys) to which they were sensitive.\u201d<\/p>\n\n\n\n<p>The tonality-sensitivities of individual areas, in three different listeners across their three different listening sessions, are here represented by the \u20192D  torus\u2019 images those particular tonalities would evoke:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"648\" height=\"854\" src=\"https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-fig3.png\" alt=\"\" class=\"wp-image-1253\" srcset=\"https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-fig3.png 648w, https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-fig3-228x300.png 228w\" sizes=\"auto, (max-width: 648px) 100vw, 648px\" \/><\/figure>\n\n\n\n<p><strong>Discussion<\/strong><\/p>\n\n\n\n<p>Tonality, and especially its modulations in musical scores, can evoke emotions and even movement, so it is no surprise that a map of tonality is maintained in a region of the brain &#8211; the RPC &#8211;  known to have widespread connections not just to auditory areas of the brain but also to emotional and cognitive areas.  The paper under discussion here is not the only research to suggest that tonal knowledge lies outside the main auditory areas of the brain &#8211; people with bilateral damage to auditory cortex have been shown to retain \u201cthe ability to generate expectancies based on tonal contexts\u201d.<\/p>\n\n\n\n<p>What of the paper\u2019s main finding, the phenomenon whereby the pattern of tonality representation within the RPC may <strong><em>change<\/em><\/strong> from session to session, described as \u2018dynamic topography\u2019?  In parts of the brain discriminating between classes of visual object (eg face, cat, man-made object, nonsense), the assignment of brain area to class appears to be \u201ctopographically invariant\u201d, with a particular class assigned to a particular brain area.  But when it comes to discriminating between tonalities, our researchers \u201cfound that the mapping of specific keys to specific neuronal populations in the rostromedial prefrontal cortex is relative rather than absolute\u201d.  The authors explain that \u201cin contrast to categories of common visual objects that differ in their spatial features, musical keys are abstract constructs that share core properties.  The internal relationships among the pitches defining a key are the same in each key, thereby facilitating the transposition of musical themes from one key to another.\u201d   This allows for brain areas, in respect of the different tonalities they represent, to be \u201cdynamically allocated from one occasion to the next\u201d.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"223\" height=\"226\" src=\"https:\/\/www.musicianscience.org\/wp-content\/uploads\/2021\/01\/torus-janata.jpeg\" alt=\"\" class=\"wp-image-1255\"\/><figcaption><strong><em>Above &#8211; Petr Janata (lead author)<\/em><\/strong><\/figcaption><\/figure>\n\n\n\n<p><strong><em>Coda<\/em><\/strong><\/p>\n\n\n\n<p>Johann Sebastian Bach<\/p>\n\n\n\n<p><a href=\"https:\/\/www.youtube.com\/watch?v=Ugc5FZsycAw\" target=\"_blank\" rel=\"noreferrer noopener\">Das Wohltemperierte Klavier Teil I <\/a>(The Well-Tempererd Clavier Book I)<\/p>\n\n\n\n<p>Piano: Andr\u00e1s Schiff<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Title of paper under discussion The Cortical Topography of Tonal Structures Underlying Western Music Authors Petr Janata, Jeffrey L. Birk, John D. Van Horn, Marc Leman, Barbara Tillmann, Jamshed J. Bharucha Journal Science, vol 298, pp 2167-2170 (2002) Link to paper (free access) Overview Using functional magnetic resonance imaging (fMRI) Janata and his colleagues identified &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/www.musicianscience.org\/index.php\/the-brain-has-a-tonality-map-and-its-dynamic-not-static\/\"> <span class=\"screen-reader-text\">The brain has a tonality map &#8211; and it\u2019s dynamic, not static<\/span> Read More \u00bb<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[25,34],"tags":[],"class_list":["post-1239","post","type-post","status-publish","format-standard","hentry","category-musician","category-tonality"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.7 - 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