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

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.

[1]  Mingzhou Ding,et al.  Origins of Timing Errors in Human Sensorimotor Coordination , 2001, Journal of motor behavior.

[2]  D L Gilden,et al.  1/f noise in human cognition. , 1995, Science.

[3]  Masashi Yamada,et al.  Temporal control mechanism of repetitive tapping with simple rhythmic patterns , 2001 .

[4]  C. Granger Long memory relationships and the aggregation of dynamic models , 1980 .

[5]  L. T. Stevens ON THE TIME-SENSE , 1886 .

[6]  Chris Chatfield,et al.  The Analysis of Time Series: An Introduction , 1981 .

[7]  R B Ivry,et al.  The coupled oscillator model of between-hand coordination in alternate-hand tapping: a reappraisal. , 2001, Journal of experimental psychology. Human perception and performance.

[8]  J. A. Scott Kelso,et al.  Reaction-anticipation transitions in human perception-action patterns , 1996 .

[9]  Bruno H Repp,et al.  Rate Limits in Sensorimotor Synchronization With Auditory and Visual Sequences: The Synchronization Threshold and the Benefits and Costs of Interval Subdivision , 2003, Journal of motor behavior.

[10]  G. Schöner Timing, Clocks, and Dynamical Systems , 2002, Brain and Cognition.

[11]  P. N. Kugler,et al.  Patterns of human interlimb coordination emerge from the properties of non-linear, limit cycle oscillatory processes: theory and data. , 1981, Journal of motor behavior.

[12]  Jan Beran,et al.  Statistics for long-memory processes , 1994 .

[13]  Norimasa Yamada,et al.  Nature of variability in rhythmical movement , 1995 .

[14]  J. Binder,et al.  Distributed Neural Systems Underlying the Timing of Movements , 1997, The Journal of Neuroscience.

[15]  M Yamada,et al.  Temporal control mechanism in equaled interval tapping. , 1996, Applied human science : journal of physiological anthropology.

[16]  R. Todd Ogden,et al.  On detecting and modeling deterministic drift in long run sequences of tapping data , 1999 .

[17]  A. Kristofferson,et al.  Response delays and the timing of discrete motor responses , 1973 .

[18]  Bruno H. Repp,et al.  Auditory dominance in temporal processing: new evidence from synchronization with simultaneous visual and auditory sequences. , 2002, Journal of experimental psychology. Human perception and performance.

[19]  B. Harris Spectral Analysis Of Time Series , 1967 .

[20]  Guy Madison On the nature of variability in isochronous serial interval production , 2000 .

[21]  T Elbert,et al.  The processing of temporal intervals reflected by CNV-like brain potentials. , 1991, Psychophysiology.

[22]  Paul Fraisse,et al.  II. - Rythmes auditifs et rythmes visuels , 1948 .

[23]  Luke Windsor,et al.  Rhythm Perception and Production , 2000 .

[24]  J. Mates,et al.  Temporal Integration in Sensorimotor Synchronization , 1994, Journal of Cognitive Neuroscience.

[25]  Chris Chatfield,et al.  The Analysis of Time Series: An Introduction , 1990 .

[26]  P A Kolers,et al.  Rhythms and responses. , 1985, Journal of experimental psychology. Human perception and performance.

[27]  Knight Dunlap,et al.  Reaction to rhythmic stimuli with attempt to synchronize. , 1910 .

[28]  Yanqing Chen,et al.  Long Memory Processes ( 1 / f α Type) in Human Coordination , 1997 .

[29]  T. Musha,et al.  Fluctuations of Human Tapping Intervals , 1985, IEEE Transactions on Biomedical Engineering.

[30]  A. Wing 28 The Long and Short of Timing in Response Sequences , 1980 .

[31]  D. Gilden Cognitive emissions of 1/f noise. , 2001, Psychological review.

[32]  A. Wing Effects of type of movement on the temporal precision of response sequences , 1977 .

[33]  G. Stelmach,et al.  Tutorials in Motor Behavior , 1980 .

[34]  Jirí Mates,et al.  A model of synchronization of motor acts to a stimulus sequence , 2004, Biological Cybernetics.

[35]  Paul Fraisse,et al.  Les repères du sujet dans la synchronisation et dans la pseudo-synchronisation , 1971 .

[36]  E T Klemmer,et al.  Sequences of responses to signals encoded in time only. , 1967, Acta psychologica.

[37]  N. R. Bartlett,et al.  Synchronization of a motor response with an anticipated sensory event. , 1959, Psychological review.

[38]  Nicole von Steinbüchel Temporal ranges of central nervous processing: clinical evidence , 1998 .

[39]  G. Madison,et al.  Variability in isochronous tapping: higher order dependencies as a function of intertap interval. , 2001, Journal of experimental psychology. Human perception and performance.

[40]  C Voillaume,et al.  [The frame of reference of the subject in synchronization and pseudosynchronization]. , 1971, L'annee psychologique.