Clarissa C Santos-Couto-Paz1, Luci F Teixeira-Salmela2, Carlos J Tierra-Criollo3. 1. Universidade de Brasília, Faculdade de Ceilândia, BrasíliaDF, Brazil. 2. UFMG, Physical Therapy Department, Belo HorizonteMG, Brazil. 3. Universidade Federal de Minas Gerais, Institute of Biological Sciences, Belo HorizonteMG, Brazil.
Abstract
BACKGROUND: Mental practice (MP) is a cognitive strategy which may improve the acquisition of motor skills and functional performance of athletes and individuals with neurological injuries. OBJECTIVE: To determine whether an individualized, specific functional task-oriented MP, when added to conventional physical therapy (PT), promoted better learning of motor skills in daily functions in individuals with chronic stroke (13 ± 6.5 months post-stroke). METHOD: Nine individuals with stable mild and moderate upper limb impairments participated, by employing an A1-B-A2 single-case design. Phases A1 and A2 included one month of conventional PT, and phase B the addition of MP training to PT. The motor activity log (MAL-Brazil) was used to assess the amount of use (AOU) and quality of movement (QOM) of the paretic upper limb; the revised motor imagery questionnaire (MIQ-RS) to assess the abilities in kinesthetic and visual motor imagery; the Minnesota manual dexterity test to assess manual dexterity; and gait speed to assess mobility. RESULTS: After phase A1, no significant changes were observed for any of the outcome measures. However, after phase B, significant improvements were observed for the MAL, AOU and QOM scores (p<0.0001), and MIQ-RS kinesthetic and visual scores (p=0.003; p=0.007, respectively). The significant gains in manual dexterity (p=0.002) and gait speed (p=0.019) were maintained after phase A2. CONCLUSIONS: Specific functional task-oriented MP, when added to conventional PT, led to improvements in motor imagery abilities combined with increases in the AOU and QOM in daily functions, manual dexterity, and gait speed.
BACKGROUND: Mental practice (MP) is a cognitive strategy which may improve the acquisition of motor skills and functional performance of athletes and individuals with neurological injuries. OBJECTIVE: To determine whether an individualized, specific functional task-oriented MP, when added to conventional physical therapy (PT), promoted better learning of motor skills in daily functions in individuals with chronic stroke (13 ± 6.5 months post-stroke). METHOD: Nine individuals with stable mild and moderate upper limb impairments participated, by employing an A1-B-A2 single-case design. Phases A1 and A2 included one month of conventional PT, and phase B the addition of MP training to PT. The motor activity log (MAL-Brazil) was used to assess the amount of use (AOU) and quality of movement (QOM) of the paretic upper limb; the revised motor imagery questionnaire (MIQ-RS) to assess the abilities in kinesthetic and visual motor imagery; the Minnesota manual dexterity test to assess manual dexterity; and gait speed to assess mobility. RESULTS: After phase A1, no significant changes were observed for any of the outcome measures. However, after phase B, significant improvements were observed for the MAL, AOU and QOM scores (p<0.0001), and MIQ-RS kinesthetic and visual scores (p=0.003; p=0.007, respectively). The significant gains in manual dexterity (p=0.002) and gait speed (p=0.019) were maintained after phase A2. CONCLUSIONS: Specific functional task-oriented MP, when added to conventional PT, led to improvements in motor imagery abilities combined with increases in the AOU and QOM in daily functions, manual dexterity, and gait speed.
Residual impairments and functional limitations are the major causes of social
restrictions and permanent disabilities in individuals with stroke[1]. Recovery of the paretic upper limb
(UL) is crucial to perform activities of daily living, but it is often variable and
incomplete, and about 65% of individuals with chronic stroke had functional
limitations related to their UL[2].
Therefore, improved rehabilitation strategies are needed, particularly in the
chronic stages, when patients are discharged from rehabilitation and recovery is
often limited[3].Mental Practice (MP) is a method by which the internal reproduction of a given motor
act is extensively repeated with the intention of improving performance[4]. Braun et al.[5] suggested that during MP, within a
given context, an internal representation of the movement is activated and its
execution is mentally repeated without physical activity. MP is used for
goal-oriented improvement or stabilization of a given movement and is considered a
mental rehearsal of kinesthetic and/or visual properties of movements[6] and directly related to the
activation of the motor and somatosensory cortical areas[4]. This intervention can be used to promote the
relearning of daily tasks for people in various stages of stroke[6,7]. Thus, MP is a cognitive strategy which may benefit the
acquisition of motor skills and the functional performance of athletes and
individuals with neurological injuries.However, controversies still persist regarding the effectiveness of this
intervention[8], given that
many variables[9], such as the
nature of the motor tasks, the practice intensity, duration, and the learning
stages, were not taken into account when interpreting the results of MP
training[10]. Variables
related to the individuals also need to be considered, such as their dominant UL,
which could directly impact the performance and motor training[11]. There is also evidence that
individuals with better imagery, i.e. people who produce the autonomic nervous
system responses in most imagery session conditions, had greater increases in motor
performance than other subjects[12]
through active compensatory neural networks[13]. In addition, studies that examined the motor learning of
specific tasks have been scarcely described, which make it difficult to apply this
approach within clinical contexts.Most studies analyzed the influence of specific and isolated movement-based
MP[12]. A recent study
suggested that task-oriented MP may promote neuroplasticity[14], increase functional capacity, and
generate greater cortical changes, and promote better motor learning to improve
motor skills in daily functions. According to Jackson et al.[12], the motor, cognitive, and
psychological factors contribute to the outcome of various forms of practice,
including MP. They proposed that up to three distinct levels of learning processes
could contribute and interact with each other during the practice of a given
activity: (1) The declarative knowledge refers to the knowledge
required prior to performing a given motor task, such as the kinematic component
(KC) involved in the movement production; (2) The non-conscious processes
are related to aspects of the skills which are not directly accessible to
verbal descriptions, such as the activation or inhibition of different muscles
throughout the task; and (3) The physical execution refers to the
activity necessary to carry out the intended action. According to this model, the
use of declarative knowledge can be more important at the beginning of the training
than when the task is well learned. Therefore, MP with motor imagery requires that
the subjects have all the necessary declarative knowledge regarding the various KC
of the tasks before performing them. However, the rehearsing of the 'activities of
daily living (ADL) and the home environment with motor imagery could also give
access to the non-conscious processes involved in learning the skilled behavior.Therefore, the objective of this study was to verify whether an individualized,
specific functional task-oriented MP, when added to conventional physical therapy
(PT), promoted better learning of motor skills in ADL in individuals with chronic
stroke. It was hypothesized that the addition of functional MP to conventional PT
would result in greater functional gains.
Method
Subjects
Sixteen volunteers were recruited from the PT out-patient clinics of Santa Casa
Hospital, of the city of Bom Despacho, MG, Brazil, according on the following
criteria: had ages between 20 and 60 years; time since the onset of a unilateral
stroke of at least six months; had impairments of their dominant UL; had no
cognitive deficits, as determined by the cut-off scores >18 in the modified
Mini-Mental State Examination[15]; demonstrated the ability to actively flex the paretic
wrists and the metacarpophalangeal and interphalangeal joints of the index and
thumb of at least 10°; and had received prior strengthening and stretching-based
conventional PT. Individuals were excluded if they had scores ≥3 on the
modified Ashworth Scale[16];
excessive pain on their paretic UL (scores ≥4 on the 10-point visual
analog scale); had difficulty in performing imagery, as assessed by the revised
motor imagery questionnaire (MIQ-RS)[17]; and other neurological disorders. All participants
provided consent based upon ethical approval (# 0222.0.203.000-11) from the
Research Ethical Committee of the Universidade Federal de Minas Gerais (UFMG),
Belo Horizonte, MG, Brazil. A sample size of at least eight subjects was
calculated to reach 80% of power and an effect size of 1.5, based upon the
primary outcome measure (Motor Activity Log) with a significance level of
5%.
Testing and design
After screening and obtaining consent, demographic, anthropometric, and clinical
information were collected for all participants. Their stages of motor
impairments were assessed by the Orpington Prognostic Scale[18] and the tone of the elbow and
wrist flexor muscles was quantified by the modified Ashworth Scale, at rapid
speeds[16].The A1-B-A2 single case design was applied as follows:
Phase A1 - Conventional PT; phase B - MP+PT; and phase A2
- conventional PT. Each of the training phases lasted four weeks. The outcome
measures were obtained at baseline (1st assessment), after one-month
of conventional PT (2nd assessment), after one month of MP+PT
(3rd assessment), and after one month of PT alone (4th
assessment) (Figure 1).
Figure 1
Flow diagram of the study.
Flow diagram of the study.
Primary outcome measures
Based upon previous functional training studies, the primary outcome measure was
determined by both the amount of use (AOU) and quality of movement (QOM) scales
of the Brazilian version of the motor activity log (MAL-Brazil)[19,20]. This scale contains 30 items related to routine
activities undertaken with the most-affected UL. The MAL has shown to be valid
and demonstrated adequate test-retest reliability[19]. The participants were questioned regarding
how much and how well they performed their daily activities with their paretic
UL[19]. The MAL total
scores were obtained by the sum of the responses divided by the number of the
assessed items, which ranged from zero to five, with higher scores demonstrating
better performances[19,20].The MIQ-RS is a questionnaire constructed to assess movement imagery ability and
has shown adequate validity and test-retest reliability[17]. The MIQ-RS requires movements
of both the upper and lower limbs to assess the ability of imagining gross motor
movements and includes movements related to their ADL. It is composed of visual
and kinesthetic sub-scales, with each having seven items. Each item is rated on
a 7-point scale, ranging from 1=very hard to see/feel to 7=very easy to
see/feel.
Secondary outcome measures
Secondary outcome measures included the Minnesota Manual Dexterity Test
(MMDT) and gait speed. The MMDT is a short version of the Minnesota
Dexterity Tests[21]
and consists of two timed sub-tests ("placing" and "turning tests") to assess
the required manual dexterity to turn and/or place 60 short, round blocks with
one or both hands. In this study, the placing sub-test[21] was used to assess the ability to handle
objects, measured by the time required to complete the task[22]. The MMDT has been used to
measure the degrees of disability and/or patient progress during specific
training, as well as for the qualification of tasks which require manual
dexterity and daily activities[22]. The Brazilian version of the MMDT demonstrated adequate
psychometric properties[22].
Gait speed
To analyze the influence of specific functional task-oriented MP on mobility, the
10-meter gait speed test was employed[23]. It measures the time, in seconds, required to walk 10
meters at the subject's preferred speed, and the time was converted to gait
speed (m/s).
Interventions
Mental practice
One-on-one 30-minute MP training sessions were provided three days per week
for four weeks, totaling 12 sessions. The training was performed in a quiet
room with objects which simulated ADL and was conducted from a first-person
perspective. The individuals were instructed to imagine, as if they were
performing the tasks themselves, without actually executing them. The
trained tasks, which were identified during the initial assessments, were
selected according to the individuals objectives with gradual increases in
the task constraints related to the number of the KC. The training started
with the simplest task and progressed to the most difficult ones, focusing
on the grasp and grip of certain objects. This type of training takes into
account not only the principles of intensity and specificity, but also the
motor learning principles. During the early stages of learning, the
individuals used cognitive strategies, such as attention, and after
training, they no longer needed to focus their attention on the single
movement, but on the task as a whole, which made the movement's execution
automatic[24].To facilitate training, the tasks were divided into specific KC, which were
identified by the individuals during their execution or their attempts.
Prior to training, the subjects were instructed to perform or attempt to
perform a given task, and pay attention to how they performed it. Then, they
were instructed to divide the task into parts, the KC and to describe how
well they performed them and the difficulties they had during their
execution. For example, to perform the grasp, the first participant divided
the task into four KCs: "Elevate my shoulder, stretch my elbow, place my
hand over the object, and grasp the object". Such training is believed to
promote intrinsic feedback for the individuals, as they are able to identify
their errors while performing the task and adapt their movement patterns. It
also allowed the individuals to develop strategies for specific movements,
once they had performed the movement and could understand the
characteristics of the environment and its restrictions, therefore
generating specific movement patterns. In other studies[7,9,10], the
physical therapist demonstrated the movement to be imagined by the patient,
but in the present study, there was no guidance, since each person had
different perceptions and various physical characteristics. Once the
individuals were able to identify, understand, and describe the KC and the
task constraints, they were instructed to imagine the task 10 times. After
this, they were instructed to describe and imagine the whole task 10 times.
The use-dependent plasticity of the central nervous system is attributed to
both dose-dependent and context-dependent effects of interventions referred
to as enriched environments and rehabilitation[25].Soon after the MP training, the subjects were asked to describe each of the
KC tasks, perform each task, and then try to execute them as a whole, using
what they previously learned. Later, they were asked to describe their
degrees of difficulty in performing motor imagery, according to the MIQ-RS
scale and rate their efforts according to the Borg scale (0-10)[26]. Subjects were instructed
to maintain a relaxed position throughout the training and, if they lost
their concentration, training was temporarily interrupted.
Conventional physical therapy intervention
Each 30-minute session of the conventional PT intervention consisted of five
minutes of mild stretching, 20 minutes of strengthening exercises, and five
minutes of muscular relaxation. During each session, emphasis was put on
stretching the flexor muscles and on strengthening the paretic
flexor/extensor muscle groups of the shoulder, elbow, and wrist joints, in
addition to the scapular muscles.
Data analyses
Descriptive statistics and tests for normality were carried out for all outcome
variables, using the SPSS for Windows software (version 13.0). Repeated measure
analyses of variance (ANOVAs), followed by pre-planned contrasts, were used to
determine differences between the training phases with a significance level of
5%.
Results
Participants characteristics
Seventeen subjects were recruited, but eight were excluded for the following
reasons: Two were enrolled in other motor rehabilitation interventions, one had
insufficient UL motor function; two had scores ≥3 on the modified
Ashworth Scale; one had an unstable cardiac condition; and two had difficulty in
performing imagery. Thus, nine subjects (three men) with a mean age of
42.2±12.2 years (ranging from 23 to 54), a mean time since the onset of
the stroke of 13±6.5 months (ranging from 7 to 24), and mild to moderate
impairments, completed all tests and training. The subjects had their dominant
UL affected ULs (four left and five right).
Outcome measures
MIQ Scores
Significant differences between the phases were found for the MIQ-RS visual
and kinesthetic scores (F=10.10, p=0.007;
power=0.87 and F=16.08,
p=0.003; power=0.95). As shown in
Table 1 and Figure 2, no significant differences were found between
the scores obtained at the 1st and 2nd assessments in
the visual and kinesthetic scores (1.26visual score
(F=12.03; p=0.008) and kinesthetic scores
(F=17.56; p=0.003). However, these
gains were not maintained at the 4th assessment
(11.36
Table 1
Mean (standard deviation) values of the outcome measures obtained for
all of the evaluated phases and comparisons between the phases.
Variables
Baseline
After A1 phase
After B phase
After A2 phase
MIQ (score)
Kinestthesic
23.50 (08.35)a
24.50 (09.17)a
40.50 (7.22)b
37.10 (8.69)c
Visual
28.89 (10.12)a
30.00 (10.50)a
41.11 (8.39)b
38.22 (9.04)c
MAL (score)
QOM
1.00 (0.58)a
1.00 (0.56)a
2.94 (1.30)b
2.97 (1.29)b
AOU
0.97 (0.71)a
0.98 (0.68)a
2.70 (1.42)b
2.75 (1.41)b
MMDT (pieces/min)
10.53 (9.31)a
11.13 (10.10)a
16.43 (12.84)b
15.97 (12.48)b
Gait speed (m/s)
0.75 (0.41)a
0.75 (0.42)a
0.97 (0.52)b
0.91 (0.71)b
MIQ=motor imagery questionnaire; MAL=motor activity log;
QOM=quality of movement; AOU=amount of use; MMDT=Minnesota
manual dexterity test. For each column, different letters
represent statistical significance between each phase.
Figure 2
Visual and kinesthetic MIQ scores obtained at baseline (1); after
phase A1 (2); after phase B (3); and after phase
A2 (4).
Mean (standard deviation) values of the outcome measures obtained for
all of the evaluated phases and comparisons between the phases.MIQ=motor imagery questionnaire; MAL=motor activity log;
QOM=quality of movement; AOU=amount of use; MMDT=Minnesota
manual dexterity test. For each column, different letters
represent statistical significance between each phase.Visual and kinesthetic MIQ scores obtained at baseline (1); after
phase A1 (2); after phase B (3); and after phase
A2 (4).
MAL scores
ANOVA revealed significant differences between the phases for both the AOU
and QOM scales (F=33.71; p<0.0001;
power=0.999 and F=35.72; p<0.0001;
power=1.0). The contrasts revealed no significant differences between the
scores obtained at the 1st and 2nd assessments
(0.14
Figure 3
MAL scores of the quality of movement and amount of use scales
obtained at baseline (1); after phase A1 (2); after phase
B (3); and after phase A2 (4).
MAL scores of the quality of movement and amount of use scales
obtained at baseline (1); after phase A1 (2); after phase
B (3); and after phase A2 (4).
MMDT and gait speed
As shown in Table 1 and Figure 4, significant differences were
found between the scores obtained for all phases for the MMDT
(F=18.87; p=0.002;
power=0.97) and gait speed (F=6.88;
p=0.02; power=0.73). The contrasts
showed no significant differences between the MMDT and gait speed obtained
at the 1st and 2nd assessments
(F=2.33; p=0.17 and
F=0.008; p=0.93). However, significant
differences were observed between the 2nd and 3rd
assessments for both the MMDT and gait speed (F=22.18;
p=0.002 and F=9.47;
p=0.015, respectively). These gains were maintained at
the 4th assessment (F=4.98;
p=0.06 and F=2.71; p=0.14), suggesting
that the addition of MP training resulted in manual dexterity and mobility
gains.
Figure 4
Minnesota manual dexterity test (MMDT) (pieces/min) obtained at
baseline (1); after phase A1 (2); after phase B (3); and
after phase A2 (4).
Minnesota manual dexterity test (MMDT) (pieces/min) obtained at
baseline (1); after phase A1 (2); after phase B (3); and
after phase A2 (4).
Discussion
MP has emerged as a non-invasive strategy to increase the use and function of the
paretic UL, even years after stroke[14]. Previous MP studies have hypothesized that the repetitive use
of the paretic UL and the repeated activation of the neural networks involved in
this use may increase motor skills[14,25]. However, no
studies have examined the influence of a specific functional task-oriented PM on
(re)learning motor ADL and on motor imagery ability in individuals with chronic
stroke. This study verified whether an individualized, specific functional
task-oriented MP, when added to conventional PT, promoted better AOU and QOM of the
paretic UL and increased kinesthetic and visual motor imagery abilities in
individuals with chronic stroke. The findings demonstrated that the addition of
functional MP, based upon KC added to conventional PT, resulted in greater
functional gains.Importantly, this study showed that four weeks of PT were not enough to demonstrate
significant changes in the functional capacity of individuals with stable motor
impairments. However, the findings supported the hypothesis that four weeks of
specific functional task-oriented MP training, when added to PT, resulted in
functional and clinical improvements. These functional gains were similar to a
previous study, that which used the same outcome measures, but employed other
interventions[27]. Given the
employed outcomes, the chronicity of the sample, the stable motor deficits, and the
amount of changes in a relatively short time frame, it is likely that these changes
were attributable to the addition of the MP intervention.MP also resulted in increases in motor imagery abilities for all subjects. The
identification of the KC involved in the movement production may have increased
motor imagery ability. The use of this cognitive strategy could improve motor
learning. Stinear et al.[28]
suggested that kinesthetic, but not visual motor imageries, modulates corticomotor
excitability. However, significant motor imagery gains were found for both the
visual and kinesthetic motor imagery abilities. It is possible that the individuals
used both strategies to imagine the movement during the MP training. However, these
gains were not maintained after the withdrawal of MP, suggesting that these
individuals improved the use of their UL, but did not need to use this cognitive
strategy to perform their ADL.Significant changes were observed for the secondary outcome variables and the results
suggested that MP could improve manual dexterity and these were related to the
ability to use the UL in ADL. The capacity to perform ADL is important for
functional independence and is a predictor of functional recovery after
stroke[29]. UL impairments
occur in 85% of strokepatients, and six months after stroke, 26% of the survivors
were dependent in their ADL[2].
Consistent with our hypothesis, the addition of specific functional task-oriented MP
training resulted in considerable improvements in manual dexterity and in the
MAL-AOU and QOM, during the performance of ADL, and these improvements were
maintained after the withdrawal of the MP intervention. Moreover, the results showed
increases in gait speed. These gains suggested that specific MP could increase
mobility. In addition, changes were also observed for some reported and observed
variables. All subjects reported improvements related to their primary complaints,
e.g., they started using their paretic UL during daily functions and decreased their
UL flexion patterns during stance and gait. These postural changes and the increases
in gait speed may be due to the increased use of the UL to perform manual tasks,
thus reducing its need for postural adjustments. The present functional changes have
potential clinical significance and suggest that such changes could be observed
without intensive physical practice and/or expensive equipment, which may be
impractical in clinical contexts.It is important to note that the participants showed complete adherence to the MP
intervention. This could be demonstrated by the attendance at all sessions and they
even demonstrated the desire to continue. In addition, none of the subjects gave up
the program. When they were asked about their preferences between conventional PT or
PT+MP, 100% preferred the latter. These results could be related to the
characteristics of the MP training, since all KCs were based upon functional and
specific daily tasks, which could increase their motivation and participation.One could argue that the observed gains were attributable to the potential for
practice or learning effects, which could be observed when individuals repeat a task
over time[30]. However, this effect
was minimized by the time between the assessments, which were carried out at
four-week intervals. Another disadvantage could be related to the sequences of the
interventions and/or the carryover effects[30], which could occur when subjects are exposed to multiple
treatment conditions. However, the objective of this study was not to determine if
the MP intervention was better than the conventional PT, but to investigate the
effects of the addition of MP to PT.The major advantage of this design was the ability to control for the potential
influences of individual differences[30], since subject characteristics, such as age, gender, and
motivation, remained constant throughout the course of the study. Therefore, the
observed differences between the treatment conditions were more likely to reflect
the treatment effects, and not the between-subject variability. The use of subjects
as their own controls provides the most possible equivalent group comparison. The
A1-B-A2 design is indicated when individuals acted as
their own controls and did not limit the validity of the results. Moreover, this
design could be inserted into daily clinical practice, when physical therapists need
to develop and combine various strategies to improve functional capacity for
individuals with stable motor deficits.Another limitation included the relatively small sample size. However, this was not
believed to be the case, since the statistical power was high for the primary
outcome measures. In addition, for obvious ethical reasons, this study was limited
to subjects who were willing to participate and, therefore, were a self-selected
group of highly motivated individuals. This may also affect the generalizability of
the present findings to the overall stroke population. Randomized controlled trials
with larger samples of subjects with various levels of impairments are necessary to
better control for these confounding factors.
Conclusions
The findings of the present study suggested that the addition of functional MP to
conventional PT resulted in greater functional gains, regarding the AOU and QOM of
the paretic UL, the kinesthetic and visual motor imagery abilities, manual
dexterity, and gait speed. These gains, except for the motor imagery abilities, were
maintained one month after the cessation of MP+PT, suggesting motor relearning.
Authors: Cathy M Stinear; Winston D Byblow; Maarten Steyvers; Oron Levin; Stephan P Swinnen Journal: Exp Brain Res Date: 2005-08-03 Impact factor: 1.972
Authors: Lucas R Nascimento; Lívia C G Caetano; Daniele C M A Freitas; Tatiane M Morais; Janaine C Polese; Luci F Teixeira-Salmela Journal: Rev Bras Fisioter Date: 2012-03-01
Authors: Magdalena Ietswaart; Marie Johnston; H Chris Dijkerman; Sara Joice; Clare L Scott; Ronald S MacWalter; Steven J C Hamilton Journal: Brain Date: 2011-04-22 Impact factor: 13.501
Authors: Rodrigo Gontijo Cunha; Paulo José Guimarães Da-Silva; Clarissa Cardoso Dos Santos Couto Paz; Ana Carolina da Silva Ferreira; Carlos Julio Tierra-Criollo Journal: J Neuroeng Rehabil Date: 2017-04-11 Impact factor: 4.262