Literature DB >> 28034012

Physical fitness modulates incidental but not intentional statistical learning of simultaneous auditory sequences during concurrent physical exercise.

Tatsuya Daikoku1, Yuji Takahashi2, Hiroko Futagami3, Nagayoshi Tarumoto4, Hideki Yasuda2.   

Abstract

In real-world auditory environments, humans are exposed to overlapping auditory information such as those made by human voices and musical instruments even during routine physical activities such as walking and cycling. The present study investigated how concurrent physical exercise affects performance of incidental and intentional learning of overlapping auditory streams, and whether physical fitness modulates the performances of learning. Participants were grouped with 11 participants with lower and higher fitness each, based on their Vo2max value. They were presented simultaneous auditory sequences with a distinct statistical regularity each other (i.e. statistical learning), while they were pedaling on the bike and seating on a bike at rest. In experiment 1, they were instructed to attend to one of the two sequences and ignore to the other sequence. In experiment 2, they were instructed to attend to both of the two sequences. After exposure to the sequences, learning effects were evaluated by familiarity test. In the experiment 1, performance of statistical learning of ignored sequences during concurrent pedaling could be higher in the participants with high than low physical fitness, whereas in attended sequence, there was no significant difference in performance of statistical learning between high than low physical fitness. Furthermore, there was no significant effect of physical fitness on learning while resting. In the experiment 2, the both participants with high and low physical fitness could perform intentional statistical learning of two simultaneous sequences in the both exercise and rest sessions. The improvement in physical fitness might facilitate incidental but not intentional statistical learning of simultaneous auditory sequences during concurrent physical exercise.

Entities:  

Keywords:  Incidental and intentional statistical learning; Markov process; exercise; physical fitness; simultaneous sequence

Mesh:

Year:  2016        PMID: 28034012     DOI: 10.1080/01616412.2016.1273571

Source DB:  PubMed          Journal:  Neurol Res        ISSN: 0161-6412            Impact factor:   2.448


  9 in total

1.  It takes biking to learn: Physical activity improves learning a second language.

Authors:  Fengqin Liu; Simone Sulpizio; Suchada Kornpetpanee; Remo Job
Journal:  PLoS One       Date:  2017-05-18       Impact factor: 3.240

Review 2.  Neurophysiological Markers of Statistical Learning in Music and Language: Hierarchy, Entropy, and Uncertainty.

Authors:  Tatsuya Daikoku
Journal:  Brain Sci       Date:  2018-06-19

3.  Tonality Tunes the Statistical Characteristics in Music: Computational Approaches on Statistical Learning.

Authors:  Tatsuya Daikoku
Journal:  Front Comput Neurosci       Date:  2019-10-02       Impact factor: 2.380

4.  Statistical learning and the uncertainty of melody and bass line in music.

Authors:  Tatsuya Daikoku
Journal:  PLoS One       Date:  2019-12-19       Impact factor: 3.240

5.  Serial-multiple mediation of enjoyment and intention on the relationship between creativity and physical activity.

Authors:  Myungjin Jung; Han Soo Kim; Paul D Loprinzi; Minsoo Kang
Journal:  AIMS Neurosci       Date:  2021-01-11

6.  Single, but not dual, attention facilitates statistical learning of two concurrent auditory sequences.

Authors:  Tatsuya Daikoku; Masato Yumoto
Journal:  Sci Rep       Date:  2017-08-31       Impact factor: 4.379

7.  Motor Reproduction of Time Interval Depends on Internal Temporal Cues in the Brain: Sensorimotor Imagery in Rhythm.

Authors:  Tatsuya Daikoku; Yuji Takahashi; Nagayoshi Tarumoto; Hideki Yasuda
Journal:  Front Psychol       Date:  2018-10-02

8.  Musical Creativity and Depth of Implicit Knowledge: Spectral and Temporal Individualities in Improvisation.

Authors:  Tatsuya Daikoku
Journal:  Front Comput Neurosci       Date:  2018-11-13       Impact factor: 2.380

9.  Concurrent Statistical Learning of Ignored and Attended Sound Sequences: An MEG Study.

Authors:  Tatsuya Daikoku; Masato Yumoto
Journal:  Front Hum Neurosci       Date:  2019-04-17       Impact factor: 3.169

  9 in total

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