| Title |
Effects of Canon chord progression on brain activity and motivation are dependent on subjective feelings, not the chord progression per se
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, June 2017
|
| DOI | 10.2147/ndt.s136815 |
| Pubmed ID | |
| Authors |
Yoshinori Kayashima, Kazuhiko Yamamuro, Manabu Makinodan, Yoko Nakanishi, Akio Wanaka, Toshifumi Kishimoto |
| Abstract |
A number of studies have indicated that relaxing and pleasant melodies are useful for the treatment of patients with psychiatric disorders, including schizophrenia, depression, and dementia. However, few studies have investigated what constitutive elements of the music had an effect on brain activity. As Canon chord progression is one of critical elements for pleasant melodies, we sought to examine the effects of Canon chord progression and pitch-shifted Canon chord progression on brain activity using performance on the auditory oddball task during event-related potentials (ERPs) in 30 healthy subjects. Unexpectedly, we found no differences in ERP components between subjects listening to Canon chord progression (n=15) or pitch-shifted Canon chord progression (n=15). Next, we divided participants into two groups: those who found the melody pleasant (n=17) and those who did not (n=13), for both Canon chord progression and pitch-shifted Canon chord progression. The average of P300 amplitude was higher at Fz in subjects found the music pleasant versus those finding it unpleasant. Moreover, subjects who found it pleasant exhibited higher motivation scores than those who felt it was unpleasant, whereas listening to Canon chord progression did not matter. These findings suggest that the effects of Canon chord progression on brain activity and motivation depend on subjective feelings, not the chord progression per se. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 26% |
| Student > Master | 5 | 15% |
| Student > Bachelor | 4 | 12% |
| Researcher | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 5 | 15% |
| Social Sciences | 4 | 12% |
| Neuroscience | 3 | 9% |
| Economics, Econometrics and Finance | 3 | 9% |
| Nursing and Health Professions | 2 | 6% |
| Other | 7 | 21% |
| Unknown | 10 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 June 2017.
All research outputs
#17,438,425
of 25,584,565 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,869
of 3,120 outputs
Outputs of similar age
#211,512
of 331,010 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#47
of 85 outputs
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