Literature DB >> 24089487

Oscillatory phase dynamics in neural entrainment underpin illusory percepts of time.

Björn Herrmann1, Molly J Henry, Maren Grigutsch, Jonas Obleser.   

Abstract

Neural oscillatory dynamics are a candidate mechanism to steer perception of time and temporal rate change. While oscillator models of time perception are strongly supported by behavioral evidence, a direct link to neural oscillations and oscillatory entrainment has not yet been provided. In addition, it has thus far remained unaddressed how context-induced illusory percepts of time are coded for in oscillator models of time perception. To investigate these questions, we used magnetoencephalography and examined the neural oscillatory dynamics that underpin pitch-induced illusory percepts of temporal rate change. Human participants listened to frequency-modulated sounds that varied over time in both modulation rate and pitch, and judged the direction of rate change (decrease vs increase). Our results demonstrate distinct neural mechanisms of rate perception: Modulation rate changes directly affected listeners' rate percept as well as the exact frequency of the neural oscillation. However, pitch-induced illusory rate changes were unrelated to the exact frequency of the neural responses. The rate change illusion was instead linked to changes in neural phase patterns, which allowed for single-trial decoding of percepts. That is, illusory underestimations or overestimations of perceived rate change were tightly coupled to increased intertrial phase coherence and changes in cerebro-acoustic phase lag. The results provide insight on how illusory percepts of time are coded for by neural oscillatory dynamics.

Entities:  

Mesh:

Year:  2013        PMID: 24089487      PMCID: PMC6618472          DOI: 10.1523/JNEUROSCI.1434-13.2013

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


  21 in total

1.  Theta and Gamma Bands Encode Acoustic Dynamics over Wide-Ranging Timescales.

Authors:  Xiangbin Teng; David Poeppel
Journal:  Cereb Cortex       Date:  2020-04-14       Impact factor: 5.357

Review 2.  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

3.  Sound identification in human auditory cortex: Differential contribution of local field potentials and high gamma power as revealed by direct intracranial recordings.

Authors:  Kirill V Nourski; Mitchell Steinschneider; Ariane E Rhone; Hiroyuki Oya; Hiroto Kawasaki; Matthew A Howard; Bob McMurray
Journal:  Brain Lang       Date:  2015-03-25       Impact factor: 2.381

4.  Entrained neural oscillations in multiple frequency bands comodulate behavior.

Authors:  Molly J Henry; Björn Herrmann; Jonas Obleser
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-29       Impact factor: 11.205

5.  Spatiotemporal dynamics of auditory attention synchronize with speech.

Authors:  Malte Wöstmann; Björn Herrmann; Burkhard Maess; Jonas Obleser
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-21       Impact factor: 11.205

6.  The role of cortical beta oscillations in time estimation.

Authors:  Shrikanth Kulashekhar; Johanna Pekkola; Jaakko Matias Palva; Satu Palva
Journal:  Hum Brain Mapp       Date:  2016-05-11       Impact factor: 5.038

7.  Ageing affects dual encoding of periodicity and envelope shape in rat inferior colliculus neurons.

Authors:  Björn Herrmann; Aravindakshan Parthasarathy; Edward L Bartlett
Journal:  Eur J Neurosci       Date:  2016-11-21       Impact factor: 3.386

8.  Delta Vs Gamma Auditory Steady State Synchrony in Schizophrenia.

Authors:  Krishna C Puvvada; Ann Summerfelt; Xiaoming Du; Nithin Krishna; Peter Kochunov; Laura M Rowland; Jonathan Z Simon; L Elliot Hong
Journal:  Schizophr Bull       Date:  2018-02-15       Impact factor: 9.306

9.  Theta band oscillations reflect more than entrainment: behavioral and neural evidence demonstrates an active chunking process.

Authors:  Xiangbin Teng; Xing Tian; Keith Doelling; David Poeppel
Journal:  Eur J Neurosci       Date:  2017-11-06       Impact factor: 3.386

10.  An oscillating computational model can track pseudo-rhythmic speech by using linguistic predictions.

Authors:  Sanne Ten Oever; Andrea E Martin
Journal:  Elife       Date:  2021-08-02       Impact factor: 8.140

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.