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Music has been debated as a positive factor for the health of elderly people. In a randomized study, the researchers compared an intervention based on percussion and musical improvisation with a choir activity. The objective was to investigate whether improvisation would influence the executive functioning and motor skills of healthy elderly people. A set of instruments for psychological and motor assessment was used before and after the procedure. Differences were found in the performance of the participants of the improvisation group in the Clock Drawing Test suggesting possible gains in executive function. There were gains, regardless of the group, in part A of the Trail Making Test, which indicates a sustained attention. No evidence of motor effects was found in this study. The results suggest that musical activities can contribute to the prevention of cognitive decline caused by aging.
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https://doi.org/10.1590/1982-0275202138e190132
1 Universidade Federal de Ciências da Saúde de Porto Alegre, Programa de Pós-Graduação em Psicologia e Saúde. R. Sarmento Leite,
245, Centro Histórico, 90050-170, Porto Alegre, RS, Brasil. Correspondence to: A.A. OLIVEIRA. E-mails: <alcyr.oliveirajr@gmail.com>,
<marcelors@ufcspa.edu.br>.
2 Universidade Federal de Ciências da Saúde de Porto Alegre, Curso de Psicologia, Departamento de Psicologia. Porto Alegre, RS, Brasil.
3 Universidade Federal de Ciências da Saúde de Porto Alegre, Curso de Nutrição, Departamento de Nutrição. Porto Alegre, RS, Brasil.
4 Universidade Federal de Ciências da Saúde de Porto Alegre, Curso de Fonoaudiologia, Departamento de Fonoaudiologia. Porto Alegre,
RS, Brasil.
5 Universidade Federal de Ciências da Saúde de Porto Alegre, Programa de Pós-Graduação em Ciências da Reabilitação. Porto Alegre,
RS, Brasil.
Article based on the dissertation of M.R. SANTOS, entitled “Efeitos da improvisação musical como intervenção cognitiva e motora para
idosos”. Universidade Federal de Ciências da Saúde de Porto Alegre, 2019.
How to cite this article
Santos, M. R., Krug, M. S., Brandão, M. R., Leon, V. S., Martinotto, J. C., Fonseca, J. D., … Oliveira, A. A. (2021). Effects of musical
improvisation as a cognitive and motor intervention for the elderly. Estudos de Psicologia (Campinas), 38, e190132. https://doi.
org/10.1590/1982-0275202138e190132
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BY
PSICOLOGIA SOCIAL E ORGANIZACIONAL | SOCIAL AND ORGANIZATIONAL PSYCHOLOGY
Effects of musical improvisation as a cognitive
and motor intervention for the elderly
Efeitos da improvisação musical como intervenção
cognitiva e motora para idosos
Marcelo Rabello dos SANTOS1 0000-0001-6597-9422
Monique Siebra KRUG2 0000-0002-5421-0615
Michel Rasche BRANDÃO2 0000-0002-7952-9139
Victória Silva de LEON2 0000-0002-9802-2739
Júlia Cenci MARTINOTTO2 0000-0001-5952-806X
Júlia Delgado da FONSECA3 0000-0002-2226-1952
Alissa Costa BRASIL4 0000-0001-5927-3247
Andréa Guedes MACHADO5 0000-0003-2939-2223
Alcyr Alves de OLIVEIRA1 0000-0002-0747-7835
Abstract
Music has been debated as a positive factor for the health of elderly people. In a randomized study,
the researchers compared an intervention based on percussion and musical improvisation with a choir
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M.R. SANTOS et al.
activity. The objective was to investigate whether improvisation would influence the executive functioning
and motor skills of healthy elderly people. A set of instruments for psychological and motor assessment was
used before and after the procedure. Differences were found in the performance of the participants of the
improvisation group in the Clock Drawing Test suggesting possible gains in executive function. There were
gains, regardless of the group, in part A of the Trail Making Test, which indicates a sustained attention. No
evidence of motor effects was found in this study. The results suggest that musical activities can contribute
to the prevention of cognitive decline caused by aging.
Keywords: Cognition; Health of the elderly; Motor activity; Music.
Resumo
A música tem sido discutida como fator promotor da saúde do idoso. Em um estudo randomizado, uma intervenção
baseada em exercícios de percussão e improvisação foi comparada a uma atividade de canto coral. O objetivo foi investigar
os efeitos sobre o funcionamento executivo e motor de idosos saudáveis. Um conjunto de instrumentos de avaliação
psicológica e motora foi aplicado antes e depois da intervenção. Foram encontradas diferenças no desempenho do grupo
de improvisação no Teste de Desenho do Relógio sugerindo possíveis ganhos executivos. Houve ganhos independentes
de grupo na parte A do Teste de Trilhas, que avalia a atenção sustentada. Não foram verificadas evidências de efeitos
motores. Os resultados indicam que atividades musicais podem contribuir na prevenção do declínio cognitivo decorrente
do envelhecimento.
Palavras-chave: Cognição; Saúde do idoso; Atividade motora; Música.
The world population is growing older: by 2060, in Brazil, it is estimated that there will be 66 elderly
for every 100 active people and only 21.6 children for the same group (Oliveira, 2016). The 30 million elderly
milestone was exceeded in 2017 and the population group with the highest growth rate is that of people
over 80 (Minayo & Firmo, 2019). As Norton, Matthews, and Brayne (2013) point out, a consequence of the
global aging trend will be the dramatic increase in the prevalence of dementia. Wahl et al. (2019) express the
urgency in developing interventions that prevent cognitive decline and its subsequent impairment. Klimova,
Valis and, Kuca (2017) highlight several non-pharmacological interventions, such as physical exercises and
piano lessons, that have proven beneficial in cognitive domains such as executive functioning, attention,
and memory.
A new understanding of aging emphasizes the possibility of preservation and even gains in the cognitive
domain (Neri & Yassuda, 2004). Cespón, Miniussi, and Pellicciari (2018) indicate that there is a growing
body of evidence that older people have a potential for neuroplasticity. Music is being discussed as a way to
produce neuroplastic changes that would delay cognitive decline (Garrido, Dunne, Perz, Chang, & Stevens,
2018; Gleizer & Rábanos, 2017). Practicing musical instruments stimulate not only the auditory cortex, but
areas of the brain involving attention, memory, motor function, and emotional processing (Särkämö, 2018).
The assumption that music can promote cognitive benefits or, more precisely, that the effects of music
training can be transferred to non-musical domains still lacks support, either by the absence of a theoretical
model that explains this transfer or by the fragility of the evidence produced so far (Sala & Gobet, 2017).
One hypothesis currently under study is that the Executive Functions (EF) – especially the inhibitory
control –, are the processes that could explain the transference of musical training to non-musical skills
(Moreno & Farzan, 2015).
Although there is divergence among authors regarding the cognitive processes understood among
the EF, selective attention, inhibitory control, working memory, cognitive flexibility, and monitoring can be
included among them (Godoy, Dias, Trevisan, Menezes, & Seabra, 2010). There is also a correlation between
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EF and health indicators of the elderly, such as walking speed (Taylor et al., 2017). Recently, practicing musical
improvisation and percussion has been related to executive gains and discussed as promoters of cognitive
health for the elderly (Biasutti & Mangiacotti, 2017; Kim & Yoo, 2019).
Pressing (1987) explains the practice of improvisation through a three-step model: input (sensory
organs); processing and decision making (central nervous system); and motor output. The author stresses
that it is a practice that requires constant monitoring (auditory, visual, tactile, and proprioceptive) in order
to allow the improviser to form cognitive representations and thus manage the design of the subsequent
actions. Thus, musical improvisation differs from a fixed performance, which is based entirely on a previously
established framework (memory or sheet music). Beaty (2015), relying on the model by Pressing (1987),
argues that recent behavioral and neuroimaging evidences suggest that improvisation can recruit areas of
the brain related to cognitive processes of broader scope, such as the anterior cingulate cortex, associated
with EF as monitoring and decision making.
The aim of this study was to assess the effects of an intervention based on improvisation and percussion
activities on elderly individuals. Unlike other studies of similar scope, such as the one by Biasutti and Mangiacotti
(2017), in which the effects of musical activities were compared to the effects of physical activities, in this study
the effects of two different musical protocols were compared: one focused on improvisation and another on
fixed performance. The researchers sought to understand the difference in the effects of these modalities of
musical engagement, based on the hypothesis that relates improvisation and executive functioning.
Method
Participants
The study enrolled 28 healthy elderly people, recruited by snowball sampling (Vinuto, 2014). The
intervention was carried out at the headquarters of an elderly association located in the metropolitan area
of a Brazilian capital, with active participants in the local community. For developing countries, the age of
60 is recommended as the threshold between adulthood and old age (Fechine & Trompieri, 2012).
The inclusion criteria were: (1) 60 years or older; (2) not currently participating in musical activities
promoted by the local elderly association. Exclusion criteria: (1) score below the cut-off point in the Mini
Mental State Examination (MMSE) (Caramelli & Nitrini, 2000), as described in Measures; (2) presence of motor
difficulties that would interfere in the performance of the activities; and (3) presence of neurodegenerative
diseases already diagnosed.
Procedures
All participants were informed about the research through clarification meetings held by the researchers.
A total of 37 volunteers expressed their interest in participating in the study and signed the Consent Form
in accordance with decision nº 2.865.851 by the Research Ethics Committee of the Universidade Federal de
Ciências da Saúde de Porto Alegre (UFCSPA, Federal University of Health Sciences of Porto Alegre).
Figure 1 presents the flowchart of the participants through the study selection process. An initial
screening allowed to determine that 31 of the 37 volunteers met the initial criteria. These participants were
randomized into two groups: percussion and musical improvisation (experimental: n = 15) and choir (control:
n = 16). Of the remaining six people, five obtained scores below the cut-off point in the MMSE and one had
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already been diagnosed with a neurodegenerative disease. The study was inclusive: all those who volunteered
had the opportunity to participate in musical activities. Thus, the six volunteers that did not meet the criteria
were invited to participate in the control group (choir) but did not have their data collected.
Figure 1. Flowchart of the participants.
Total volunteers (= 37)n
Screening
Excluded
volunteers
(= 6)n
Volunteers meeting the criteria
(= 31)n
Pre-Intervention Collection
Randomization
Control Group
(Choir = 16)n
Experimental Group
(Improvisation = 15)n
Intervention
Completed the training
(= 13)n
Completed the training
(= 15)n
Post-Intervention Collection
Sent to choir
Table 1 shows the characterization of the participants from the data collected in the initial
screening. No significant sociodemographic differences were found between the experimental and
control groups. The musical engagement, obtained through the adapted version of the Music Use
Questionnaire (Chin & Rickard, 2012) allowed the comparison of three indices related to different past
aspects of musical life - listening, practicing, and formal training – without significant differences
being found between the groups. Finally, the mean scores of the MMSE of both groups indicate the
comparability of the groups in terms of global cognition.
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Table 1
Characterization of participants
Characterization variables Improvisation n = 15 Exp. Group Choir n = 13 Control Group p-value
Age [Mean (SD)] 68.40 (5.98) 67.31 (5.79) 0.629***
Years of formal education – [Median (Q1; Q3)] 9 (4;16) 7 (4.5; 9) 0.235***
Sex
[woman n (%)] 10 (66.7%) 12 (92.3%) 0.173***
[man n (%)] 5 (33.3%) 1 (7.7%)
Relationship status
[married n (%)] 7 (46.7%) 6 (46.2%)
0.443***
[widow(er) n (%)] 4 (26.7%) 6 (46.2%)
[Divorced/separated n (%)] 2 (13.3%) 1 (7.7%)
[Dating n (%)] 2 (13.3%) 0 (0.0%)
Musical engagement1 [Median (Q1; Q3)]:
Audition index 6 (2; 10) 10 (4; 12.5) 0.072***
Practice index 0.33 (0; 0.85) 1.06 (0; 2.75) 0.363***
Training index 0 (0; 0) 0 (0; 1.5) 0.786***
MMSE2 [Mean (SD)] 26.73 (1.79) 27.31 (1.97) 0.427***
Note: *Student’s t-test; **Mann-Whitney test; ***Chi-Squared test. 1MUSE: Music Use Questionnaire; 2MMSE: Mini-Mental State Examination.
SD: Standard Deviation.
In the pre-intervention data collection stage, psychological and motor tasks were carried out. It was
conducted in the two-week period before the start of the musical activities. It was performed by researchers
linked to the Psychology course of UFCSPA who received specific training regarding the activities employed.
The musical activities were conducted by a researcher with specific training in music and lasted eight
weeks, with one hour of activity per week. All the participants of the experimental group completed the
musical training. Of the 16 people assigned to the control group, one did not complete the training and two
communicated their exclusion due to personal problems, resulting in n = 13 for the control group.
The post-intervention collection was performed in the same place as the pre-intervention collection,
by the same researchers, in the same period (up to two weeks after the end of the musical intervention). One
participant of the control group had difficulties, due to vision problems, in performing some psychological
tasks, which were not completed. Thus, Tables 2 and 3 point towards this group (n = 12).
Finally, at the end of the study activities, the participants of each group were invited to continue their
musical engagement in the modality of their preference. Percussion and improvisation activities, as well as
choir singing, continued to be offered, allowing the participants of the choir to experience improvisation
and vice-versa.
Instruments
The following instruments were used in the initial screening.
Structured Interview: Collection of socio-demographic data and health-related information.
Mini Mental State Examination (MMSE) − (Brucki, Nitrin, Caramelli, Bertolucci, & Okamoto, 2003):
Cognitive decline screening instrument. The adopted cut-off points were: 18 (illiterate participants), 21
(participants between one and three years of schooling), 24 (participants between four and seven years of
schooling) and 26 (participants with more than seven years of schooling) (Caramelli & Nitrini, 2000).
Musical engagement interview − The original instrument, the Music Use Questionnaire (Chin & Rickard,
2012): It was translated into Portuguese and adapted to the interview format by one of the researchers. It
generates three indices. The musical listening index reflects the time dedicated over a week to listening to
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music (radio, concerts etc.). The musical practicing index refers to the time dedicated to more active forms
of musical engagement, such as singing or dancing. The musical training index relates to formal musical
practicing.
The following psychological and motor tasks were employed in data collection before and after the
musical intervention:
Trail Making Test (TMT) − (Vazzana et al., 2010): It assesses attention and cognitive flexibility. The
result of the test corresponds to the total time the task took to be completed. Shorter times indicate better
performances.
Verbal Fluence Test (VFL) – (Rodrigues, Yamashita, & Chiappetta, 2008): The participant is asked
to produce, in one minute, words beginning with the letter “f” (phonemic fluence) and names of animals
(semantic fluence). The score equals the number of words produced. It assesses semantic memory, information
retrieval, thought organization, and strategies for word selection.
Clock Drawing Test (CDT) − (Sunderland et al., 1989): The scores correspond to the accuracy in
details, such as the positioning of the hands, with a maximum score of ten. It assesses visuospatial ability,
mental representation, and planning.
Five Digits Test (FDT) − (Campos, Silva, Florêncio, & Paula, 2016): It assesses the executive functioning
through reading, counting, choosing, and alternating tasks involving the numbers 1 to 5. Based on the
Stroop effect.
Rivermead Behavioral Memory Test (RBMT-3) − (Steibel, 2016): It generates a general memory index
from tasks that assess visual, verbal, spatial, and prospective memory as well as guidance and learning.
Timed Up and Go (TUG) − (Wamser et al., 2015): It assesses functional mobility and risk of falling.
The score corresponds to the time taken for the participant to get up from a chair, walk a predetermined
path and sit down again.
Finger Tapping Test (FTT) − (Ashendorf, Vanderslice-Barr, & McCaffrey, 2009): Assesses motor
coordination and manual dexterity. It was performed through the CNS Tap application for Android
Smartphones. The participant is asked to tap his finger on the phone screen as fast as he can over 10 seconds.
The number of beats is his or her score. In this study, the index finger of both hands was used.
Musical Activities
The protocol of the experimental group consisted of eight weekly meetings of 60 minutes. The
activity was held in a room with chairs arranged in a circle. In the center of the room, there was a box
with 15 easy-to-handle percussion musical instruments. A blackboard was available, as well as basic sound
equipment, to allow recording and listening of results. The conductor of the session also had a musical
keyboard to support and propose activities.
The experimental protocol was based on the first three steps of the proposed Kratus model (1991). For
the author, improvisational practice begins with exploration: the participants discover the sound potentialities
of musical instruments, without having yet established the predictability relationships between their
manipulation and their corresponding sound. In the next step, the relations between sound and movement
start to be configured. In the third step, properly improvisatory, the participants are more confident with
their instruments and more aware of the collective dimension: a concern with the musical result itself arises.
The experimental protocol adopted consisted of four stages: A, B, C, and D. Stage A corresponded
to the exploration of the instruments: the initial step of the Kratus model (1991). According to Schafer’s
suggestion (1992), the participants were invited to discover a new instrument in the box, discover three
different sounds in this instrument and present the result to the other participants.
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Stages B and C corresponded to the second step of the Kratus model (1991). The exercises of stage B
emphasized the development of the sense of beat and other rhythmic abilities. Each participant was invited
to walk according to the pulse produced by a colleague with an instrument, and variations were proposed
on the imitation game and the question and answer game (Costa, 2016). In stage C, it was sought to make
the group aware of the group’s collective dimension. Musical textures, such as pointillism, were proposed
and executed by the group with the help of markings on the blackboard for a better understanding of the
desired sound results, according to Schafer’s proposals (1992). Also introduced in stage C was the regent’s
game, inspired by soundpainting (Coskuner & Stalheim, 2020), in which one of the participants guided
aspects of the other participants’ musical performance through gestures.
Stage D corresponds to the third step of the Kratus model (1991), i.e. where there is production of
musical pieces. Previously employed techniques – such as the use of soundpainting or the blackboard –,
remained on the agenda. The first activity proposed for this stage was the composition of a soundtrack for
a story (Silva, 2020), which allows a musical piece to be structured from a pre-existing narrative. The first
story intended to represent with sounds the journey of a man who leaves the forest environment towards a
large city and then returns. The story was told beforehand to the participants, who were encouraged to plan
beforehand the musical actions they thought most appropriate to each part of the narrative. The exercise
was repeated several times. Each result was recorded and presented to the participants, who were able to
listen, express their opinions and refine their performance. Then, new narratives or scripts were introduced
by the participants themselves. Finally, free improvisation was practiced, in which the structural details of
the piece were also the result of improvisation.
The four stages were distributed over the eight session as follows: sessions 1 and 2 were divided
between activities of stages A and B (30 minutes for each stage). Sessions 3 and 4 were divided in the same
way between stages B and C, and sessions 5 and 6 between stages C and D. The final sessions, 7 and 8,
were entirely dedicated to stage D.
The choir singing activity, which is non improvisatory, was performed as a control. In literature, choir
singing is being discussed as a promoter of quality of life (Skingley, Martin, & Clift, 2016), but it has not
been directly associated with cognitive domains. The choir activity was carried out in the same room as the
experimental activity, with similar spatial organization, by the same researcher and for the same period:
weekly rehearsals of 60 minutes for eight weeks.
The structure of each of the sessions followed the traditional practices for elderly groups (Almeida,
2013): the initial 15 minutes were dedicated to body and vocal warm-up and the remaining time was used
to work on the repertoire through a process of repetition and uniformization. The repertoire, worked over
the eight weeks, consisted of four known and accessible songs from the Brazilian pop music repertoire.
All the songs of the choir group were rehearsed with the support of the musical keyboard to improve
harmony, and the participants received the printed lyrics. The arrangements were made by the researcher
responsible for conducting the sessions and guiding the execution of the pieces. As in the experimental
group, the participants were concerned with the increasing complexity throughout the sessions. Gradually,
longer parts of the songs were worked until it was possible to interpret the whole piece. From the harmonic
point of view, the first piece brought only unison and octaves, while the fourth already brought segments
in three voices.
Blindings
The participants were not informed until the end of the study about the fact that the improvisation
group was the experimental one and the choir the control one. The team responsible for collecting the data
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before and after the intervention had no contact with the activities of the intervention. At the time of collection,
the responsible team was blinded to the group of participants. The first collection was performed before
randomization, that is, before the groups were assigned. Before the second collection, the participants were
advised not to comment on the activity in which they were engaged. The researcher who was responsible
for the intervention was blinded to the participants’ data throughout the data collection and compilation
process. The researcher who was responsible for the randomization, aware of the allocation of participants
among the groups, was an individual from outside the group responsible for conducting this research.
Data Analysis
The statistical analysis of the data was performed through the IBM®SPSS® Statistic 18 Software, with
the support of the Núcleo de Apoio ao Pesquisador (Research Support Nucleus) of UFCSPA. The Generalized
Estimating Equation Model was used to detect differences between groups in their pre- and post-intervention
scores.
Results
A significant difference was found between the experimental group and the control group in the
performance of the CDT, that assesses visuospatial and planning abilities (p = 0.013 for time vs group
interaction). The increase in the CDT score of the experimental group was 1.33 (pvalue = 0.043 – Bonferroni
Test), while there was a non-significant decrease for the control group of 0.69 (pvalue = 0.148 – Bonferroni
Test). It was also found a significant independent variation between groups in the TMT A score (the first part
of the TMT), focused on sustained attention. So, the sample as a whole presented significant performance
improvements in the TMT A (p = 0.03 for the time factor). No significant differences were found in the Verbal
Fluency Test (VFT) nor in the RBMT-3 (memory test). Table 2 summarizes the results of the CDT, TMT A, VFT,
and RBMT-3 psychological tasks.
Table 3 presents the scores of the tasks that make up the FDT, which assesses aspects of executive
functioning, such as flexibility and inhibition. The Z-scores of each participant were calculated with reference
to the normative data of the Brazilian population (Campos et al., 2016). The only significant difference was
the reduction of errors in the counting task, regardless of group (p = 0.029, time factor). The results of the
motor tasks are presented in Table 4. No significant differences were found in the TUG, which assesses the
risk of falling, nor in the FTT, assessing manual dexterity.
Table 2
Pre-intervention and post-intervention scores of psychological tasks
Measures
Improvisation n = 15
Experimental Group Measures
Choir n = 12
Control Group p-value*
Pre- Post Pre- Post Time
factor
Group
factor
Time vs Group
Interaction
CDT1 [mean (SD)] 5.47 (1.85) 6.8 (2.24) 6.77 (1.3) 6.08 (1.89) 0.402 0.554 0.013**
TMT2 A [mean (SD)] 66.44 (29.58) 60.31 (20.94) 54.46 (14.7) 50.36 (16.16) 0.030*** 0.122 0.820
VFL3,4 [mean (SD)]
- Phonemic 11.93 (3.47) 12.00 (4.0) 12.77 (4.3) 11.83 (3.38) 0.377 0.796 0.307
- Semantic 17.67 (5.29) 17.07 (4.85) 15.00 (4.94) 15.83 (4.86) 0.833 0.221 0.337
RBMT5 [mean (SD)] 88.20 (15.09) 88.86 (15.95) 88.83 (14.16) 89.83 (6.65) 0.783 0.861 0.945
Note: *Generalized Estimating Equation Model; **Significant difference between groups; ***Independent group effect. 1Clock Drawing Test. 2Trail Making
Test. 3Verbal Fluence Test. 4n = 14 for experimental group due to technical problems. 5Rivermead Behavioral Memory Test.
SD: Standard Deviation.
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Table 4
Scores of pre- and post-intervention motor tasks
Measures
Improvisation n =15 Experimental Group Choir n =13 Control Group p-value*
Pre- Post Pre- Post Time
Factor
Group
Factor
Time vs
Group
Interaction
TUG1 [mean (SD)] 10.41 (1.70) 9.90 (2.08) 11.01 (1.51) 10.40 ( 1.96) 0.084 0.369 0.910
FTT2 [mean (SD)]
Right index finger 41.21 (10.83) 47.13 (8.91) 45.85 (12.91) 45.83 (5.56) 0.169 0.557 0.167
Left index finger 37.00 (13.06) 35.73 (9.90) 43.15 (9.89) 38.66 (10.18) 0.226 0.146 0.706
Note: *Generalized Estimating Equation model. 1Test Up and Go. 2Finger Tapping Test.
SD: Standard Deviation.
Discussion
As Sala and Gobet (2017) point out, transference occurs when a skill acquired in a certain area
is generalized to other areas or results in gains in more general cognitive domains. When discussing the
possibility of transference effects caused by musical training, they argue that the motivation resulting from
the novelty of musical activity may, by itself, explain such effects. They advise that experiments involving
musical activities should be controlled from equally exciting activities. In this study, the comparison was
made between two musical activities, one improvisatory and the other presumably as motivating as the first,
but non improvisatory. The aim was to allow any observed differences between groups to be attributed to
differences between the musical activities.
The significant difference between groups in the performance of the CDT (Table 2) suggests the
possibility of an improvisational training transfer effect. The findings of Biasutti and Mangiacotti (2017) also
suggest the association between performance improvement in the CDT and practicing musical improvisation,
discussed by the authors in terms of possible executive gains. More specifically, planning skills (which are part
of the EF) seem to be involved: the act of drawing the clock implies, on the part of the individual taking the
test, a prior planning of the steps involved (Paula, Miranda, Moraes, & Malloy-Diniz, 2013). Likewise, the
activities carried out by the participants of the experimental group involved the prior planning of actions,
especially in the final stage (D) of the protocol.
An important remark: the experimental group presented, in the pre-intervention collection, smaller
mean scores in the CDT than the control group. This fact could be interpreted as evidence that the experimental
Table 3
FDT1: Z-score means2
Measures
Improvisation n = 15
Experimental Group
Choir n = 12
Control Group p-value*
Pre- Post Pre- Post Factor Time Factor Group Time vs Group Interaction
Reading 0.66 0.29 0.22 -0.09 0.115 0.216 0.927
Errors 1.98 -0.07 2.50 0.83 0.124 0.534 0.869
Counting 0.47 0.47 0.33 0.07 0.264 0.271 0.244
Errors 1.24 -0.08 0.50 0.22 0.029** 0.697 0.153
Choosing 0.10 0.11 0.01 -0.17 0.552 0.476 0.532
Errors 2.00 0.72 1.31 0.63 0.150 0.695 0.664
Alternating 0.36 -0.11 -0.31 -0.37 0.094 0.072 0.191
Errors 1.77 1.58 1.15 0.56 0.265 0.344 0.575
Flexibility 0.17 -0.24 -0.32 -0.53 0.095 0.120 0.577
Inhibition -0.29 0.00 -0.13 -0.35 0.864 0.744 0.214
Note: *Generalized Estimating Equation Model; **Group independent effect. 1Five Digits Test. 2Calculated using normative data from the Brazilian population.
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M.R. SANTOS et al.
group presented a greater initial impairment in some cognitive domains than the control group, even if both
groups were comparable in global cognition (as indicated by the results of the MMSE performed in the initial
screening). Thus, it might be possible to question what effect choir singing would have had on the control
group if this group had presented a greater initial impairment.
For Medina and Barraza (2019), there is evidence that practicing music produces gains for the
attentional system, through a potential transference effect between training and inhibitory control, which
is one of the EF. The research findings of Seinfeld, Figueroa, Ortiz-Gil, and Sanchez-Vives (2013) associate
musical training and the reduction of attentional interference in the elderly, that is, a better inhibition and
selection of stimuli, which are processes of inhibitory control. In this research, the FDT was used to assess
the attentional interference. No effects were found beyond a significant reduction of errors regardless of
the group. Two issues may be involved in this outcome. One is the protocol of musical activities applied by
Seinfeld et al. (2013), which was aimed at learning to read musical scores for piano, an activity that possibly
involves cognitive dimensions different from those mobilized by the protocols of this study. Another is the
fact that different tests were employed, although with the same objective. Seinfeld et al. (2013) employed
the Stroop Test while, in this study, the researchers opted for the FDT, appropriate for people of any language
and reliable for the Brazilian population (Campos et al., 2016). Perhaps the FDT proved to be less sensitive
than the Stroop Test.
Interestingly, the results of the TMT-A, which assesses sustained attention (Alves, Zaninotto, Miotto,
Lucia, & Scaff 2010), suggested that, for this attentional dimension, there have been gains regardless of the
group. This finding seems to highlight that both protocols, experimental and control, are collective activities
in which the performance necessarily depends on the attention to the actions of other people involved.
The Trail Making Test B was also proposed as a task for the participants, but many of them were unable to
finish the test properly. Difficulties have been reported with the alphabet sequence, knowledge of which is
required in this test. Considering that issues related to the participants’ educational level could interfere with
the reliability of the results, the results of this task were not analyzed.
Transfer effects between musical training and motor skills of the elderly have also been discussed
in literature. Regarding the risk of falling, the time of intervention seems to be determinant. The findings
of Trombetti et al. (2011), which indicate that the risk of falling decreased in elderly who perform musical
activities (in an effect possibly mediated by the EF), were based on an intervention of six months. The difference
in the intervention time may explain, therefore, that no differences were found in the TUG results in this
study. Additionally, this sample was composed of “younger” elderly individuals, younger than those in the
study of Trombetti et al. (2011), with mean TUG times below 12.4 seconds, i.e., outside the risk assessment
(Wamser et al., 2015).
A study by Seinfeld et al. (2013) found gains in manual dexterity in the elderly resulting from playing
piano. The FTT, also used in the present study, was employed in this assessment. The protocol employed by
these researchers was explicitly bimanual, with exercises for the independence of each finger. The experimental
protocol was predominantly one-handed (monomanual), with musical instruments that were easy to handle
and aimed for immediate engagement. The difference in the FTT results can be explained, therefore, by the
clear differences in the emphasis of motricity between the studies.
Considering the correlation between executive functioning and memory decline (Clarys, Bugaiska,
Tapia, & Baudouin, 2009), it was decided to investigate the effect of the proposed musical activities in the
field of memory through an ecological and all-encompassing test, the RBMT3 (Steibel, 2016). The absence
of effects detected with this test can be related to what was pointed out by Clark and Warren (2015): the
connections between music and memory seem to somehow elude the more general formulations about
human memory, pointing to a separate system, as suggested by the paradox of preserved musical memory
in certain cases of Alzheimer’s disease.
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Estud. psicol. I Campinas I 38 I e190132 2021
Another area in which transference effects have been proposed and observed is the one between
language and music, although there is no consensual theoretical basis (Slevc, 2012). Thus, it was also decided
to observe if musical interventions could translate into specific gains in verbal fluency, a hypothesis that
was not confirmed by the evidence produced. Biasutti and Mangiacotti (2017) attribute, in their study with
elderly people, the gains in verbal fluency related to scat singing, which is a modality of vocal improvisation.
In fact, this modality of improvisation did not integrate the protocol of this study, which was focused on
instrumental improvisation.
The data produced by this study give partial support to the hypothesis that musical activities performed
by the elderly, especially those of an improvisatory character, may have effects on executive functioning
through transfers between training and planning and inhibition functions. The results also seem to support
the conception that different modalities of musical training have different effects. Future research is suggested
to explore these issues through larger samples and by comparing other forms of musical training and music-
related activities, such as dancing. Finally, the results reinforce the idea that music can contribute to the
prevention of cognitive decline, being an ally in the challenges posed by an aging population.
Contributors
M. R. SANTOS was responsible for the design and writing of the article. M.S. KRUG, M. R. BRANDÃO, V. S. LEON,
J. C. MARTINOTTO, J. D. FONSECA, and A. C. BRASIL contributed to the analysis, discussion of results and revision of
the manuscript. A. G. MACHADO contributed to the analysis of the results. A. A. OLIVEIRA was responsible for the study
design and final review of the article.
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Received: November 4, 2019
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