Literature DB >> 29127530

EEG Frequency-Tagging and Input-Output Comparison in Rhythm Perception.

Sylvie Nozaradan1,2,3,4, Peter E Keller5, Bruno Rossion6,7, André Mouraux6.   

Abstract

The combination of frequency-tagging with electroencephalography (EEG) has recently proved fruitful for understanding the perception of beat and meter in musical rhythm, a common behavior shared by humans of all cultures. EEG frequency-tagging allows the objective measurement of input-output transforms to investigate beat perception, its modulation by exogenous and endogenous factors, development, and neural basis. Recent doubt has been raised about the validity of comparing frequency-domain representations of auditory rhythmic stimuli and corresponding EEG responses, assuming that it implies a one-to-one mapping between the envelope of the rhythmic input and the neural output, and that it neglects the sensitivity of frequency-domain representations to acoustic features making up the rhythms. Here we argue that these elements actually reinforce the strengths of the approach. The obvious fact that acoustic features influence the frequency spectrum of the sound envelope precisely justifies taking into consideration the sounds used to generate a beat percept for interpreting neural responses to auditory rhythms. Most importantly, the many-to-one relationship between rhythmic input and perceived beat actually validates an approach that objectively measures the input-output transforms underlying the perceptual categorization of rhythmic inputs. Hence, provided that a number of potential pitfalls and fallacies are avoided, EEG frequency-tagging to study input-output relationships appears valuable for understanding rhythm perception.

Entities:  

Keywords:  Auditory system; EEG; Frequency-tagging; Neural transform; Perceptual categorization; Rhythm and beat perception

Mesh:

Year:  2017        PMID: 29127530     DOI: 10.1007/s10548-017-0605-8

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  12 in total

1.  Reply to Novembre and Iannetti: Conceptual and methodological issues.

Authors:  Tomas Lenc; Peter E Keller; Manuel Varlet; Sylvie Nozaradan
Journal:  Proc Natl Acad Sci U S A       Date:  2018-11-13       Impact factor: 11.205

2.  Frequency tagging cannot measure neural tracking of beat or meter.

Authors:  Vani G Rajendran; Jan W H Schnupp
Journal:  Proc Natl Acad Sci U S A       Date:  2019-01-29       Impact factor: 11.205

3.  Free-Field Cortical Steady-State Evoked Potentials in Cochlear Implant Users.

Authors:  Razieh Alemi; Sylvie Nozaradan; Alexandre Lehmann
Journal:  Brain Topogr       Date:  2021-06-29       Impact factor: 3.020

4.  Differential motor system entrainment to auditory and visual rhythms.

Authors:  Daniel C Comstock; Ramesh Balasubramaniam
Journal:  J Neurophysiol       Date:  2022-06-29       Impact factor: 2.974

5.  The power of rhythms: how steady-state evoked responses reveal early neurocognitive development.

Authors:  Claire Kabdebon; Ana Fló; Adélaïde de Heering; Richard Aslin
Journal:  Neuroimage       Date:  2022-03-26       Impact factor: 7.400

Review 6.  The Involvement of Endogenous Neural Oscillations in the Processing of Rhythmic Input: More Than a Regular Repetition of Evoked Neural Responses.

Authors:  Benedikt Zoefel; Sanne Ten Oever; Alexander T Sack
Journal:  Front Neurosci       Date:  2018-03-07       Impact factor: 4.677

7.  Prefrontal High Gamma in ECoG Tags Periodicity of Musical Rhythms in Perception and Imagination.

Authors:  S A Herff; C Herff; A J Milne; G D Johnson; J J Shih; D J Krusienski
Journal:  eNeuro       Date:  2020-07-31

8.  Neural tracking of speech mental imagery during rhythmic inner counting.

Authors:  Lingxi Lu; Qian Wang; Jingwei Sheng; Zhaowei Liu; Lang Qin; Liang Li; Jia-Hong Gao
Journal:  Elife       Date:  2019-10-22       Impact factor: 8.140

9.  Musical rhythm effects on visual attention are non-rhythmical: evidence against metrical entrainment.

Authors:  Annett Schirmer; Maria Wijaya; Man Hey Chiu; Burkhard Maess; Thomas C Gunter
Journal:  Soc Cogn Affect Neurosci       Date:  2021-01-18       Impact factor: 3.436

10.  Neural tracking of the musical beat is enhanced by low-frequency sounds.

Authors:  Tomas Lenc; Peter E Keller; Manuel Varlet; Sylvie Nozaradan
Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-23       Impact factor: 11.205

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