Literature DB >> 12450682

Spectral decomposition of variability in synchronization and continuation tapping: comparisons between auditory and visual pacing and feedback conditions.

Yanqing Chen1, Bruno H Repp, Aniruddh D Patel.   

Abstract

Spectral analysis was applied to study the variability in human rhythmic synchronization to a visual, auditory or combined auditory-visual metronome of about 2 Hz, as well as the variability in continuation tapping at the same rate with or without visual or auditory feedback. In synchronization, variability was larger in the visual condition than in the auditory and combined conditions, but only below frequencies of about 0.3 Hz. Thus, there seem to be at least two sources of variability in synchronization, one being modality-independent and limited to intervals shorter than 3 s, and the other being modality-dependent and evident as slow "drift", especially in the visual task. In continuation tapping, variability did not depend reliably on the presence or modality of feedback. However, spectral analysis revealed a change in the temporal structure of variability around 0.08 Hz (a period of about 12 s or 24 taps), which roughly agrees with earlier findings reported in the literature.

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Year:  2002        PMID: 12450682     DOI: 10.1016/s0167-9457(02)00138-0

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  46 in total

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Journal:  Psychol Res       Date:  2006-05-25

Review 6.  Sensorimotor synchronization: a review of the tapping literature.

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Journal:  Psychon Bull Rev       Date:  2005-12

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8.  An internal clock for predictive saccades is established identically by auditory or visual information.

Authors:  Wilsaan M Joiner; Jung-Eun Lee; Adrian Lasker; Mark Shelhamer
Journal:  Vision Res       Date:  2007-04-18       Impact factor: 1.886

9.  The ability to move to a beat is linked to the consistency of neural responses to sound.

Authors:  Adam Tierney; Nina Kraus
Journal:  J Neurosci       Date:  2013-09-18       Impact factor: 6.167

10.  A model of time estimation and error feedback in predictive timing behavior.

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Journal:  J Comput Neurosci       Date:  2008-06-19       Impact factor: 1.621

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