{"id":1929,"date":"2021-07-03T21:12:20","date_gmt":"2021-07-03T21:12:20","guid":{"rendered":"https:\/\/www.musicianscience.org\/?p=1929"},"modified":"2021-07-03T21:12:22","modified_gmt":"2021-07-03T21:12:22","slug":"practice-of-a-tricky-rhythm-is-visible-in-brain-scans-and-it-moves-within-the-brain-as-the-practice-progresses","status":"publish","type":"post","link":"https:\/\/www.musicianscience.org\/index.php\/practice-of-a-tricky-rhythm-is-visible-in-brain-scans-and-it-moves-within-the-brain-as-the-practice-progresses\/","title":{"rendered":"Practice of a tricky rhythm is visible in brain scans – and it ‘moves’ within the brain as the practice progresses"},"content":{"rendered":"\n
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Title of paper under discussion<\/strong><\/p>\n\n\n\n

Dynamic Cortical and Subcortical Networks in Learning and Delayed Recall of Timed Motor Sequences<\/p>\n\n\n\n

Authors<\/strong><\/p>\n\n\n\n

Virginia B. Penhune and Julien Doyon<\/p>\n\n\n\n

Journal<\/strong><\/p>\n\n\n\n

The Journal of Neuroscience, February 15, 2002, 22(4):1397\u20131406<\/p>\n\n\n\n

Link to paper<\/a> (free access)<\/strong><\/p>\n\n\n\n

Overview<\/strong><\/p>\n\n\n\n

Using positron emission tomography (PET) researchers from Montreal scanned the brains of volunteers 1) on the first day of learning a tricky finger-tapping rhythm 2) on the fifth day of practising that rhythm and 3) 4 weeks later as they recalled the pattern. The \u2018day-one scans\u2019 showed activity (increased blood flow) in the cerebellum, \u2018day-five scans\u2019 activity in the basal ganglia, and \u2018four-week-later scans\u2019 saw activity in the primary motor, premotor and parietal cortex. These results revealed \u201ca dynamic network of motor structures [in the brain] that are differentially active during different phases of learning and delayed recall\u201d: \u201cearly learning\u201d in the cerebellum, \u201clate learning\u201d (or \u201cautomatisation\u201d) in the basal ganglia and \u201cdelayed recall\u201d distributed between the motor, premotor and parietal cortex.<\/span><\/p>\n\n\n\n

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Virginia B Penhune, author<\/span><\/em><\/figcaption><\/figure><\/div>\n\n\n\n

Background<\/strong><\/p>\n\n\n\n

Penhune and Doyon point out that a \u201clarge body of literature exists related to motor-skill learning\u201d, studies demonstrating that three brain areas, \u201cmotor cortical regions, the cerebellum and the basal ganglia (BG)\u201d are \u201ccritically involved in learning skilled movements\u201d. Moreover, these regions are known to be differently active at different stages of learning: cerebellar activity decreases<\/em> in the course of a motor task being learned, whereas activity in the basal ganglia and motor cortical regions increases<\/em>. What had not been hitherto studied was \u201cthe pattern of activity across these regions for both learning and delayed recall\u201d. In other words, activity in these three brain regions during the first few days of learning a motor task is pretty well understood, but not so the activity in those regions when the task is repeated weeks later. <\/p>\n\n\n\n

Therefore the experiment was designed to scan participants\u2019 brains as they first learned a motor task (\u201cearly learning\u201d), after 5 days of practice (\u201clate learning\u201d) and then after a 4 week gap with no practice (\u201cdelayed recall\u201d).<\/p>\n\n\n\n

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Above:<\/span><\/em> Cerebellum, site of “early learning” in practice (image from BodyParts3D)<\/i><\/span><\/figcaption><\/figure><\/div>\n\n\n\n
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Above: Basal Ganglia (in red), site of “later learning” in practice (image from here<\/a>)<\/span><\/em><\/figcaption><\/figure><\/div>\n\n\n\n
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Above: Primary Motor Cortex, a site of “recall after 4 weeks” in practice (image from BodyParts3D)<\/span><\/em><\/figcaption><\/figure><\/div>\n\n\n\n

Method<\/strong><\/p>\n\n\n\n

Nine students were paid to take part in the study. Each participant was asked to tap along in time to a \u201csequence\u201d on a computer screen, the sequence being a square flashing on and off ten times in a long\/short note rhythm. Two such \u201csequences\u201d were presented: 1) a complex rhythm that was relatively tricky to learn (eg \u2018short, long, long, short, long, short, short, long, short, long\u2019) and 2) an \u2018isochronous\u2019 rhythm that was much easier to learn (eg \u2018short, short, short, short, short, short, short, short, short, short\u2019). In the paper Sequence 1 is called LRN, and sequence 2 is called ISO.<\/p>\n\n\n\n

On Day One of the training each participant was scanned as they tackled the LRN task and the ISO (control) task. Days Two, Three and Four were further learning days, during which both sequences received regular practice. Then on Day Five each volunteer was scanned again (again tackling both sequences), after which they could go home on the understanding they wouldn\u2019t practise their sequences any more. Then a month later each one returned and carried out the same tasks (LRN and ISO) in the scanner for the last time.<\/p>\n\n\n\n

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PET scanner<\/span><\/em><\/figcaption><\/figure><\/div>\n\n\n\n

As well as scanning their brains, the researchers were constantly measuring the accuracy of the participants\u2019 sequences, as well as \u2018cleanliness\u2019 of the tapping (how consistent was the shortness of the shorts and the longness of the longs, and how well synchronised were the taps with the computer image).<\/p>\n\n\n\n

Results<\/strong><\/p>\n\n\n\n

Evidence of improvement<\/em><\/strong><\/p>\n\n\n\n

Participants were very quick to learn both tasks, such that the accuracy achieved in both (LRN and ISO) after practising on Day One reached over 90% and remained steady over the next four days and after the four-week gap. However the \u2018cleanliness\u2019 measurements revealed continuous learning. Synchronisation accuracy, for both tasks, improved steadily over the 5 days, and remained steady over the 4-week gap. Consistency of tap length was already excellent on Day One for the ISO task, and didn\u2019t go on to improve significantly, whereas for the LRN task it started relatively low on Day One and went on to improve steadily over the 5 days.<\/p>\n\n\n\n

Brain Activity<\/strong><\/em><\/p>\n\n\n\n

On Day One PET scans taken during the tricky-to-learn LRN sequence compared with during the easier-to-learn ISO sequence revealed more activity in the cerebellum<\/em> (as well as hippocampal region and extrastriate visual cortex):<\/p>\n\n\n\n

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Scans taken during the LRN sequence on Day Five, when compared with those taken during the LRN sequence on Day One, revealed greater activity in the right basal ganglia<\/em> (as well as medial and orbital frontal cortex):<\/p>\n\n\n\n

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And scans taken during the \u201cdelayed recall\u201d of the LRN sequence after 4 weeks, when compared with the those taken during the same sequence on Day Five, revealed greater activity in the left primary motor cortex, the premotor cortex and the inferior parietal cortex<\/em>:<\/p>\n\n\n\n

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Further statistical analysis confirmed these broad findings. On any day the cerebellum<\/em> was generally more active during LRN sequences compared with during ISO sequences, but with a significant decrease in activity during those LRN sequences as the practice days went by. The basal ganglia<\/em> were more active during the LRN sequence on Day Five compared with the same sequence on Day One, but there was no such gradient regarding the ISO sequences. And the primary motor cortex, premotor cortex and parietal lobe areas<\/em> showed greater activity during the LRN sequence 4 weeks on than during the same sequence on Day Five.<\/p>\n\n\n\n

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Julien Doyon, co-author<\/span><\/em><\/figcaption><\/figure><\/div>\n\n\n\n

Discussion<\/strong><\/p>\n\n\n\n

Pentane and Doyon conclude \u201cThese results demonstrate a network of cortical [referring to the primary motor cortex, premotor cortex and parietal lobe] and subcortical [referring to the basal ganglia and the cerebellum] structures that contribute differentially to the early and late phases of motor learning and to delayed recall. Early learning showed extensive activation of the cerebellar cortex [part of the cerebellum]. After 5 days of practice, cerebellar activity decreased and greater activity was observed in the BG [basal ganglia] and frontal lobe. At delayed recall, significantly greater activation was seen in M1 [primary motor cortex], PMC [premotor cortex], and the parietal lobe, with no significant activity in the cerebellum or BG.\u201d<\/p>\n\n\n\n

Drilling further into the data, they reveal that over the course of Day One the participants showed a marked improvement in \u2018cleanliness\u2019 of tapping during the LRN sequence; this concurs with the finding of heightened activity in the cerebellum, a brain area known to mediate the creation of movement \u2018synergies\u2019, timing, sensorimotor integration and error correction.<\/p>\n\n\n\n

The Day Five data showing increased basal ganglia activity is consistent with that area\u2019s known role in the \u201cperformance of well learned sequences\u201d, in the \u201creproduction of simple timed sequences\u201d, and in motivation, assuming that the newly expert performance on Day Five was perhaps \u201crewarding\u201d for the participants.<\/p>\n\n\n\n

The data from \u201ddelayed recall\u201d after 4 weeks, showing increased activity in primary motor cortex, premotor cortex and parietal cortex, is consistent with activity seen the same areas during \u201coverlearned\u201d motor skills such as typing and writing.<\/p>\n\n\n\n

In short, conclude the authors, this experiment \u201creveals a dynamic network of cortical and subcortical structures active during early and late motor learning and at delayed recall.\u201d<\/p>\n\n\n\n

Coda<\/strong><\/p>\n\n\n\n

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