| Literature DB >> 33309194 |
Cinthya Heloisa Braz1, Laura Faustino Gonçalves1, Karina Mary Paiva1, Patricia Haas1, Fernanda Soares Aurélio Patatt2.
Abstract
INTRODUCTION: Recent studies have shown that musical practice and training are effective and have the potential to assist in the acquisition and improvement of auditory skills.Entities:
Keywords: Auditory pathways; Auditory perception; Evoked potentials, auditory; Hearing; Music
Mesh:
Year: 2020 PMID: 33309194 PMCID: PMC9422430 DOI: 10.1016/j.bjorl.2020.10.007
Source DB: PubMed Journal: Braz J Otorhinolaryngol ISSN: 1808-8686
Description of PICOS components.
| Acronym | Definition |
|---|---|
| P | Patients |
| I | Music |
| C | Musical Practice |
| O | CAP |
| S | Descriptive study |
| Cross-sectional study | |
| Observational study | |
| Case reports | |
| Case-control studies | |
| Controlled clinical trials | |
| Cohort studies |
Source: Developed by the authors.
CAP, Central Auditory Processing.
Summary of inclusion/exclusion criteria.
| Inclusion criteria | |
|---|---|
| Design | Case reports |
| Case-control studies | |
| Controlled clinical trials | |
| Cohort studies | |
| Screening studies | |
| Observational studies | |
| Location | Without restriction |
| Language | Without restriction |
| Period | January 2015 to June 2020 |
Source: Developed by the authors.
Classification of references obtained in Pubmed, SciELO, LILACS, Web of Science and Scopus databases.
| Descriptors | N. | Excluded references | Reason | Selected | Database |
|---|---|---|---|---|---|
| (music) and (auditory processing) and (central nervous system) | 293 | 290 | Excluded by the title (282); excluded by the abstract (8) | 3 | Pubmed |
| (music) and (auditory processing) and (central nervous system) | – | – | – | 0 | LILACS |
| (music) and (auditory processing) and (central nervous system) | 1 | 1 | Excluded by the title (1) | 0 | SciELO |
| (music) and (auditory processing) and (central nervous system) | 443 | 442 | Excluded by the title (440); excluded by the abstract (2); | 1 | Web of Science |
| (music) and (auditory processing) and (central nervous system) | 10 | 10 | Did not meet the inclusion criteria (4); | 1 | BIREME |
| (music) and (auditory processing) and (central nervous system) | 615 | 615 | Excluded by the abstract (5); excluded by the title (610) | 0 | Scopus |
| Total | 1362 | 1357 | 5 |
Source: Developed by the authors.
Figure 1Flowchart of the article search and analysis process.
Results of the selected studies.
| Author/ Year/ Place of study/ Type of study | Objective | Analyzed potential(s) | Used stimulus | Results | Conclusion |
|---|---|---|---|---|---|
| Fabhauer et al., | To verify the association between musical ability and short-term cognitive processing, measured by the event-related potentials. | P1, N1, P2, N2, P3 | Not specified | The most important finding was that there is a significant linear correlation between musical ability as measured by these tests and the P3 latencies of the potentials related to auditory and visual events. Moreover, musicians showed shorter latencies of event-related potentials than non-musicians. | Musical ability, measured by neuropsychological tests, is associated with improved short-term cognitive processing, both in the auditory domain and, surprisingly, also in the visual domain.. |
| Brown et al., | To determine whether the acoustic change complex (ACC) is sensitive enough to reflect the differences in spectral processing exhibited by musicians and non-musicians. | ACC | Speech in noise; sequence of four notes from six musical instruments; series of three simulated clarinet notes, digitally generated; ripple noise. | Musicians were capable of detecting minor changes in pitch than non-musicians. They were also capable of detecting a change in the position of the peaks and valleys in a ripple noise stimulus at higher ripple densities than non-musicians. The ACC responses recorded by musicians were greater than those recorded by non-musicians when the amplitude of the ACC response was normalized to the amplitude of the initial response in each pair of stimuli. The visual detection thresholds derived from the evoked potential data were better for musicians than for non-musicians, regardless of whether the task was the discrimination of musical tuning or detection of a change in the frequency spectrum of ripple noise stimuli. Behavioral discrimination measures were generally more sensitive than electrophysiological measures. However, the two metrics were correlated. | Musicians are more capable of discriminating spectrally complex acoustic signals than non-musicians. These differences are evident not only in the perceptual / behavioral tests, but also in the electrophysiological measurements of the neural response at the level of the auditory cortex. Although these results are based on observations made by listeners with normal hearing, they suggest that ACC may provide a non-behavioral method of assessing hearing discrimination and, as a result, may be useful in future studies that explore the effectiveness of participating in a musical environment, auditory training program, perhaps aimed at pediatric or hearing impaired listeners. |
| Meha-Bettison et al., | To investigate whether professional musicians outperformed non-musicians in auditory processing and speech in-noise perception | P1, N1 e P2 | / da / syllable | Musicians significantly outperformed non-musicians in the task of frequency discrimination and speech perception in noise (target voice and competitive voice equal to 0°). The N1 amplitude of the musicians showed no difference between the conditions of 5 dB and 0 dB, while the non-musicians showed a significantly lower N1 amplitude at 0 dB when compared to 5 dB. The time-frequency analysis indicated that the musicians had significantly higher alpha power desynchronization at 0 dB, indicating attention involvement. | Using behavioral and electrophysiological data, the results provide converging evidence that shows better speech recognition in noise by musicians. |
| Suppanen et al., | To verify whether music and rhythm can facilitate the learning of hearing information in newborns. | Not specified | Finnish version of a well-known lullaby song in three different conditions (lullaby song, music, speech) | Statistically significant brain responses were found in newborns when changes in syllables and words were presented in the lullaby song, but changes included in music and speech did not cause different cortical responses. The rhythmic structure of children’s rhymes can facilitate the learning of newborns regarding auditory information. | Children’s rhymes can facilitate newborns' learning through hearing information and, therefore, can be beneficial for language development. |
| Habibi et al., | To investigate the effects of a musical training program on children’s hearing development, during 2 years, from 6 to 7 years old. | P1, N1, P2, N2, P3 | Pure tone, piano and violin, combined in fundamental frequency with musical tones. | Before participating, the children who started musical training did not differ from those in the control groups regarding cognitive, motor, musical or brain measures. After 2 years, it was observed that the children in the musical group showed an improved ability to detect changes in the tonal environment and an accelerated maturity of the auditory processing, measured by the cortical auditory evoked potentials. | Musical training can result in specific brain changes in stimuli in schoolchildren. |
Source: Fabhauer et al., 2015; Brown et al., 2017; Habibi et al., 2016; Meha-Bettison et al., 2018; Suppanen et al., 2019.
ACC, Acoustic Change Complex.