Literature DB >> 20203205

Endogenous neuromagnetic activity for mental hierarchy of timing.

Takako Fujioka1, Benjamin Rich Zendel, Bernhard Ross.   

Abstract

The frontal-striatal circuits, the cerebellum, and motor cortices play crucial roles in processing timing information on second to millisecond scales. However, little is known about the physiological mechanism underlying human's preference to robustly encode a sequence of time intervals into a mental hierarchy of temporal units called meter. This is especially salient in music: temporal patterns are typically interpreted as integer multiples of a basic unit (i.e., the beat) and accommodated into a global context such as march or waltz. With magnetoencephalography and spatial-filtering source analysis, we demonstrated that the time courses of neural activities index a subjectively induced meter context. Auditory evoked responses from hippocampus, basal ganglia, and auditory and association cortices showed a significant contrast between march and waltz metric conditions during listening to identical click stimuli. Specifically, the right hippocampus was activated differentially at 80 ms to the march downbeat (the count one) and approximately 250 ms to the waltz downbeat. In contrast, basal ganglia showed a larger 80 ms peak for march downbeat than waltz. The metric contrast was also expressed in long-latency responses in the right temporal lobe. These findings suggest that anticipatory processes in the hippocampal memory system and temporal computation mechanism in the basal ganglia circuits facilitate endogenous activities in auditory and association cortices through feedback loops. The close interaction of auditory, motor, and limbic systems suggests a distributed network for metric organization in temporal processing and its relevance for musical behavior.

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Year:  2010        PMID: 20203205      PMCID: PMC6634108          DOI: 10.1523/JNEUROSCI.3086-09.2010

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  30 in total

1.  Premovement brain activity in a bimanual load-lifting task.

Authors:  Tommy H B Ng; Paul F Sowman; Jon Brock; Blake W Johnson
Journal:  Exp Brain Res       Date:  2010-11-13       Impact factor: 1.972

2.  EEG Mu (µ) rhythm spectra and oscillatory activity differentiate stuttering from non-stuttering adults.

Authors:  Tim Saltuklaroglu; Ashley W Harkrider; David Thornton; David Jenson; Tiffani Kittilstved
Journal:  Neuroimage       Date:  2017-04-09       Impact factor: 6.556

Review 3.  Exploring how musical rhythm entrains brain activity with electroencephalogram frequency-tagging.

Authors:  Sylvie Nozaradan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-12-19       Impact factor: 6.237

Review 4.  Auditory rhythmic cueing in movement rehabilitation: findings and possible mechanisms.

Authors:  Rebecca S Schaefer
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-12-19       Impact factor: 6.237

5.  Cortical Activity during Perception of Musical Rhythm; Comparing Musicians and Non-musicians.

Authors:  Assal Habibi; Vinthia Wirantana; Arnold Starr
Journal:  Psychomusicology       Date:  2014-06-01

6.  Task-irrelevant auditory metre shapes visuomotor sequential learning.

Authors:  Alexis Deighton MacIntyre; Hong Ying Josephine Lo; Ian Cross; Sophie Scott
Journal:  Psychol Res       Date:  2022-06-12

7.  Selective neuronal entrainment to the beat and meter embedded in a musical rhythm.

Authors:  Sylvie Nozaradan; Isabelle Peretz; André Mouraux
Journal:  J Neurosci       Date:  2012-12-05       Impact factor: 6.167

8.  Decomposing rhythm processing: electroencephalography of perceived and self-imposed rhythmic patterns.

Authors:  Rebecca S Schaefer; Rutger J Vlek; Peter Desain
Journal:  Psychol Res       Date:  2010-06-24

9.  Anatomy of human sensory cortices reflects inter-individual variability in time estimation.

Authors:  Sharon Gilaie-Dotan; Ryota Kanai; Geraint Rees
Journal:  Front Integr Neurosci       Date:  2011-11-21

10.  Beta-Band Oscillations Represent Auditory Beat and Its Metrical Hierarchy in Perception and Imagery.

Authors:  Takako Fujioka; Bernhard Ross; Laurel J Trainor
Journal:  J Neurosci       Date:  2015-11-11       Impact factor: 6.167

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