Literature DB >> 19041965

Listening to rhythms activates motor and premotor cortices.

Sara L Bengtsson1, Fredrik Ullén, H Henrik Ehrsson, Toshihiro Hashimoto, Tomonori Kito, Eiichi Naito, Hans Forssberg, Norihiro Sadato.   

Abstract

We used functional magnetic resonance imaging (fMRI) to identify brain areas involved in auditory rhythm perception. Participants listened to three rhythm sequences that varied in temporal predictability. The most predictable sequence was an isochronous rhythm sequence of a single interval (ISO). The other two sequences had nine intervals with unequal durations. One of these had interval durations of integer ratios relative to the shortest interval (METRIC). The other had interval durations of non-integer ratios relative to the shortest interval (NON-METRIC), and was thus perceptually more complex than the other two. In addition, we presented unpredictable sequences with randomly distributed intervals (RAN). We tested two hypotheses. Firstly, that areas involved in motor timing control would also process the temporal predictability of sensory cues. Therefore, there was no active task included in the experiment that could influence the participant perception or induce motor preparation. We found that dorsal premotor cortex (PMD), SMA, preSMA, and lateral cerebellum were more active when participants listen to rhythm sequences compared to random sequences. The activity pattern in supplementary motor area (SMA) and preSMA suggested a modulation dependent on sequence predictability, strongly suggesting a role in temporal sensory prediction. Secondly, we hypothesized that the more complex the rhythm sequence, the more it would engage short-term memory processes of the prefrontal cortex. We found that the superior prefrontal cortex was more active when listening to METRIC and NON-METRIC compared to ISO. We argue that the complexity of rhythm sequences is an important factor in modulating activity in many of the rhythm areas. However, the difference in complexity of our stimuli should be regarded as continuous.

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Year:  2008        PMID: 19041965     DOI: 10.1016/j.cortex.2008.07.002

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  108 in total

1.  Long-term music training tunes how the brain temporally binds signals from multiple senses.

Authors:  Hweeling Lee; Uta Noppeney
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-23       Impact factor: 11.205

2.  Rhythm evokes action: early processing of metric deviances in expressive music by experts and laymen revealed by ERP source imaging.

Authors:  Clara E James; Christoph M Michel; Juliane Britz; Patrik Vuilleumier; Claude-Alain Hauert
Journal:  Hum Brain Mapp       Date:  2011-09-20       Impact factor: 5.038

3.  Sensorimotor cortical response during motion reflecting audiovisual stimulation: evidence from fractal EEG analysis.

Authors:  S Hadjidimitriou; A Zacharakis; P Doulgeris; K Panoulas; L Hadjileontiadis; S Panas
Journal:  Med Biol Eng Comput       Date:  2010-04-20       Impact factor: 2.602

Review 4.  Finding the beat: a neural perspective across humans and non-human primates.

Authors:  Hugo Merchant; Jessica Grahn; Laurel Trainor; Martin Rohrmeier; W Tecumseh Fitch
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-03-19       Impact factor: 6.237

5.  Tuning-in to the beat: Aesthetic appreciation of musical rhythms correlates with a premotor activity boost.

Authors:  Katja Kornysheva; D Yves von Cramon; Thomas Jacobsen; Ricarda I Schubotz
Journal:  Hum Brain Mapp       Date:  2010-01       Impact factor: 5.038

6.  Body movement enhances the extraction of temporal structures in auditory sequences.

Authors:  Yi-Huang Su; Ernst Pöppel
Journal:  Psychol Res       Date:  2011-06-22

Review 7.  Audiotactile interactions in temporal perception.

Authors:  Valeria Occelli; Charles Spence; Massimiliano Zampini
Journal:  Psychon Bull Rev       Date:  2011-06

8.  Hearing the speed: visual motion biases the perception of auditory tempo.

Authors:  Yi-Huang Su; Donatas Jonikaitis
Journal:  Exp Brain Res       Date:  2011-08-13       Impact factor: 1.972

9.  To the beat of your own drum: cortical regularization of non-integer ratio rhythms toward metrical patterns.

Authors:  Benjamin A Motz; Molly A Erickson; William P Hetrick
Journal:  Brain Cogn       Date:  2013-02-28       Impact factor: 2.310

10.  Sensory-guided motor tasks benefit from mental training based on serial prediction.

Authors:  Ellen Binder; Klara Hagelweide; Ling E Wang; Katja Kornysheva; Christian Grefkes; Gereon R Fink; Ricarda I Schubotz
Journal:  Neuropsychologia       Date:  2013-12-07       Impact factor: 3.139

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