Predicting the Beat Bin: Beta Oscillations Predict the Envelope Sharpness in a Rhythmic Sequence

Periodic sensory inputs entrain oscillatory brain activity, reflecting a neural mechanism that might be fundamental to temporal prediction and perception. Most environmental rhythms, such as music or speech, however, are rather quasi-periodic. Research has shown that neural tracking of speech is driven by modulations of the amplitude envelope, especially via sharp acoustic edges, which serve as prominent temporal landmarks. In the same vein, research on rhythm processing in music supports the notion that perceptual timing precision varies systematically with the sharpness of acoustic onset edges, conceptualized in the beat bin hypothesis. Increased envelope sharpness induces increased precision in localizing a sound in time. Despite this tight relationship between envelope shape and temporal processing, it is currently unknown how the brain uses predictive information about envelope features to optimize temporal perception. With the current study, we show that the predicted sharpness of the amplitude envelope is encoded by pre-target neural activity in the beta band (15–25 Hz), and has an impact on the temporal perception of sounds. Using probabilistic sound cues in an EEG experiment, we informed participants about the sharpness of the amplitude envelope of an upcoming target sound embedded in a quasi-isochronous beat. The predictive information about the envelope shape modulated the performance in the timing judgment task and pre-target beta power. Interestingly, these conditional beta-power modulations correlated positively with behavioral performance in the timing-judgment task and with perceptual temporal precision in a click-alignment task. This study provides new insight into the neural processes underlying prediction of the sharpness of the amplitude envelope during beat perception, which modulate the temporal perception of sounds. This finding could reflect a process that is involved in temporal prediction, exerting top-down control on neural entrainment via the prediction of acoustic edges in the auditory stream.

[1]  C. Kayser,et al.  Neural Entrainment and Attentional Selection in the Listening Brain , 2019, Trends in Cognitive Sciences.

[2]  J. Gross,et al.  A New Unifying Account of the Roles of Neuronal Entrainment , 2019, Current Biology.

[3]  E. Chang,et al.  A speech envelope landmark for syllable encoding in human superior temporal gyrus , 2018, Science Advances.

[4]  Anna C. Nobre,et al.  Anticipated moments: temporal structure in attention , 2017, Nature Reviews Neuroscience.

[5]  D. Poeppel,et al.  Cortical Tracking of Hierarchical Linguistic Structures in Connected Speech , 2015, Nature Neuroscience.

[6]  Charles E. Schroeder,et al.  Motor contributions to the temporal precision of auditory attention , 2014, Nature Communications.

[7]  Nina Kraus,et al.  Beat synchronization predicts neural speech encoding and reading readiness in preschoolers , 2014, Proceedings of the National Academy of Sciences.

[8]  Daniel Müllensiefen,et al.  The Musicality of Non-Musicians: An Index for Assessing Musical Sophistication in the General Population , 2014, PloS one.

[9]  Daniël Lakens,et al.  Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs , 2013, Front. Psychol..

[10]  Oded Ghitza,et al.  The theta-syllable: a unit of speech information defined by cortical function , 2013, Front. Psychol..

[11]  J. Obleser,et al.  Frequency modulation entrains slow neural oscillations and optimizes human listening behavior , 2012, Proceedings of the National Academy of Sciences.

[12]  B. Ross,et al.  Internalized Timing of Isochronous Sounds Is Represented in Neuromagnetic Beta Oscillations , 2012, The Journal of Neuroscience.

[13]  U. Goswami,et al.  Music, rhythm, rise time perception and developmental dyslexia: Perception of musical meter predicts reading and phonology , 2011, Cortex.

[14]  Rudi Villing,et al.  Hearing the Moment: Measures and Models of the Perceptual Centre , 2010 .

[15]  Eric Clarke,et al.  Some Aspects of Rhythm and Expression in Performances of Erik Satie's "Gnossienne No. 5" , 1985 .

[16]  R. Rasch,et al.  The perceptual onset of musical tones , 1981, Perception & psychophysics.

[17]  M. Posner,et al.  Attention and the detection of signals. , 1980, Journal of experimental psychology.

[18]  J. Morton,et al.  Perceptual centers (P-centers). , 1976 .

[19]  Mats Johansson,et al.  Non-Isochronous Musical Meters: Towards a Multidimensional Model , 2017 .

[20]  M. Johansson Making sense of genre and style in the age of transcultural reproduction , 2016 .

[21]  Edward W. Large,et al.  Perceiving temporal regularity in music , 2002, Cogn. Sci..

[22]  E. Large,et al.  The dynamics of attending: How people track time-varying events. , 1999 .