Hohee Son1, Eunjung Kim2. 1. Department of Physical Therapy, College of Health Sciences, Catholic University of Pusan, Republic of Korea. 2. Department of Physical Therapy, Masan University, Republic of Korea.
Abstract
[Purpose] To investigate the role of external cues on arm swing amplitude and trunk rotation in Parkinson's disease. [Subjects and Methods] The subjects were 13 elderly patients with Parkinson's disease. Subjects walked under four different conditions in a random order: no cue, visual cue, auditory cue, and combined cue. The auditory cue velocity consisted of a metronome beat 20% greater than the subject's general gait speed. For the visual cue condition, bright yellow colored strips of tape placed on the floor at intervals equal to 40% of each subject's height. A motion analysis system was used to measure arm swing amplitude and trunk rotation during walking. [Results] There was a significant difference in the kinematic variables (arm swing amplitude) between different cues, but there was not a significant difference in the kinematic variables with respect to the trunk rotation. [Conclusion] The findings of this study indicate that patients with Parkinson's disease are likely to focus attention on auditory cues. The measurement of arm and trunk kinematics during gait by auditory cues can increase the available methods for the analysis of complex motor programs in movement disorders.
[Purpose] To investigate the role of external cues on arm swing amplitude and trunk rotation in Parkinson's disease. [Subjects and Methods] The subjects were 13 elderly patients with Parkinson's disease. Subjects walked under four different conditions in a random order: no cue, visual cue, auditory cue, and combined cue. The auditory cue velocity consisted of a metronome beat 20% greater than the subject's general gait speed. For the visual cue condition, bright yellow colored strips of tape placed on the floor at intervals equal to 40% of each subject's height. A motion analysis system was used to measure arm swing amplitude and trunk rotation during walking. [Results] There was a significant difference in the kinematic variables (arm swing amplitude) between different cues, but there was not a significant difference in the kinematic variables with respect to the trunk rotation. [Conclusion] The findings of this study indicate that patients with Parkinson's disease are likely to focus attention on auditory cues. The measurement of arm and trunk kinematics during gait by auditory cues can increase the available methods for the analysis of complex motor programs in movement disorders.
Entities:
Keywords:
Arm swing; External cue; Parkinson’s disease
Parkinson’s disease (PD) is caused by dopaminedeficiency in the basal ganglia, and
patients with this condition have difficulty with sensorimotor integration1). PD is characterized by motor disorder
symptoms such as bradykinesia (slowed movement), akinesia (delay in the start of movement),
tremor, ankylosis, and balance disorders2).The improvement of gait in patients with PD using signals has been reported since 19423). Gait analysis in PD based on external
signals was first conducted in 1967 by Martin4). Studies have been conducted on the effects of external signals, one
of the many possible approaches for the improvement of gait in PD5,6,7,8). The application of external
signals induces temporal and spatial stimuli, thereby enabling patients with PD to move
their limbs (support their ability to walk) in the absence of the body’s normal gait
functions, which are no longer functional due to damage to the basal ganglia9). Investigations have indicated that the
effects of external signals on patients with PD movement performance differ based on the
modality of the stimuli or signals used10, 11).During walking, the arms cause the body to turn in the opposite direction to that of the
pelvis so as to compensate for the turning effect caused by the pelvis, thus transmitting
the pelvic turns to the upper body in order to maintain balance12). Arm swinging helps to stabilize the body during walking
by regulating the angular movements of the body and reducing the lateral tilting of the
center of gravity13). The side-to-side
differences in rhythmical arm movements during walking are a clinical sign frequently
observed in patients with PD14). A recent
gait analysis study found significant decreases in the arm swing speed and the range of
joint motions of patients with PD15, 16).Decreased arm swinging is the most common motor disorder associated with PD17), and even though this symptom is related
to the increased risk of falls18), few
studies have explained the changes in the movement of the upper extremities during walking
in patients with PD19). Most evaluations
of gait in PD focus on the lower extremities, investigating decreased gait velocity, stride
length, and the ratio of swing phase time to stance phase time20,21,22).In addition to symptoms such as bradykinesia and akinesia, PD is also associated with axial
rigidity of the trunk23). Therefore, the
measurement of axial trunk rotations can help in the early detection of PD, and can also be
used to evaluate the progression of the condition24). Trunk movements are essential for movements such as walking and
turning, and despite the fact that axial rigidity is one of typical features in PD, few
researchers have yet studied it.A review of the current literature demonstrates that, although many studies have examined
the use of external signals to improve motor control or gait ability in PD, comparative
studies examining the variables (the arms and the trunk when the signals are applied) are
insufficient. Therefore, the present study examined whether or not differences in arm swings
and trunk rotations could be found in PDpatients when external signals are applied during
walking compared to when no signal is applied in order to identify the appropriate external
signals for use as an intervention against decreased arm swings and trunk rotations during
gait training for PD.
SUBJECTS AND METHODS
Thirteen PDpatients participated in this study (Table
1). The disability and impairment status of the subjects was assessed using the
Hoehn and Yahr Disability scale of PD. They were categorized as having stage 2–3 disease.
Approval for the study was obtained from the institutional review board of the National
Evidence-based Healthcare Collaborating Agency and written informed consent was obtained
from each patient before starting the study.
Table 1.
Subject characteristics
Variables
Subjects (n=13)
Age (yrs)
64.8 ± 6.8
Height (cm)
159.2 ± 9.1
Body weight (kg)
57.2 ± 8.3
Gender (F/M)
8/5
Months since diagnosis
64.2 ± 37.8
Values are means ± standard deviation
Values are means ± standard deviationFor the visual cue condition, bright yellow colored strips of tape placed on the floor at
intervals equal to 40% of each subject’s height were used. For the auditory cue condition,
subjects were instructed to walk along the walkway while keeping pace with a metronome. The
metronome rate (in beats/min) was set at a walking speed 20% faster than the un-cued walking
speed for each subject. For the combined cue condition, bright yellow strips were placed on
the floor and the metronome beat was the same as that used for the auditory cue condition
for each subject. Subjects walked under four different conditions performed in a random
order: no cue, visual cue, auditory cue, combined cue.In this study, the following kinematic gait variables were tested by external cues using a
motion analysis system: arm swing amplitude and trunk rotation. A Hawk Digital System
(60 Hz, Motion Analysis, USA) was used to measure the arm swing amplitude and trunk rotation
variables during walking. The amplified motion analysis signals were sampled on-line with
EVaRT 5.0 software and then analyzed using Cortex 64 and OrthoTrak 6.6.4 software.One-way ANOVA was performed to identify the differences in kinematic parameters between
different external cues. Tukey’s HSD was used as the post-hoc test. Significance was
accepted for p-values < 0.05.
RESULTS
Comparison between gait variables by external cues in PDpatients revealed significant
differences in arm swing amplitude (p < 0.05), but trunk rotation was not significantly
different between the groups (p > 0.05). According post-hoc analysis, there was a
significant difference between no cue and auditory cue gait with respect to arm swing
amplitude (p < 0.05) (Table 2).
Table 2.
Comparison of arm swing amplitude and trunk rotation depending on different
external cues (mean ± standard error)
No cue
Auditory cue
Visual cue
Combined cue
Arm swing amplitude (°) *
25.2 ± 2.8b
36.4 ± 3.0a
28.1 ± 2.8
26.5 ± 3.0
Trunk rotation (°)
6.6 ± 0.9
7.0 ± 1.3
7.2 ± 1.2
8.3 ± 1.6
*p < 0.05
aSignificant difference from no cue, visual & combined cue
bSignificant difference from visual & combined cue
*p < 0.05aSignificant difference from no cue, visual & combined cuebSignificant difference from visual & combined cue
DISCUSSION
In the present study, to examine changes in arm swing and trunk rotation based on the type
of external signals that are used when walking, auditory signals, visual signals, and
combined auditory/visual signals were applied, and the kinematic variables for arm swing and
trunk rotation during walking were measured.Decreases in the number of arm swings during walking are a common phenomenon in PD.
Recently, many studies have examined the speed and range of arm swings in relation to gait
in PD. Several researchers have reported that increases in gait velocity increase the
amplitude of the arm swings25,26,27). Through
systematic studies of the effects of external signals on the gait of PDpatients, Lim et
al.8) reported that the application of
auditory signals was effective for gait velocity. Given the results of the present study, it
can be seen that auditory signals, applied at a faster rate than normal gait velocity,
induce increases in arm swings during gait in PDpatients. Therefore, auditory signals
should be considered as a method for improving arm swings in relation to increases in gait
velocity during gait training for these patients.Researchers have advised that visual signals reinforce vision, thereby helping to ensure
proper gait and stride length and increased gait velocity28,29,30). Lewis et al.31)
reported that the kinematic gait elements of the lower extremities in PDpatients were
improved when visual signals were applied. Therefore, visual signals are considered to
induce increases in gait velocity through improvement of movement in the pelvis and the
lower extremities more than improvement in arm swings. However, further studies on this
matter are required.PDpatients maintain abnormal postures with the trunk bent forward at normal times, and
their ranges of motions for lateral bending, torsion, and rotation of the trunk during
walking are smaller than those of a normal person. A study conducted by Ferrain et al.32) reported that stimulation of the L-dopa or
subthalamic nucleus of PD could reduce forward trunk tilting, increase trunk movements, and
increase gait velocity and stride length. The present study also found that trunk rotations
increased when auditory/visual or combined stimuli were applied, although the differences
were not statistically significant.Rochester et al.33) stated that during
gait training applied with signals, dual-task training and single-task training improved the
patients’ condition equally. According to the results of the present study, combined
auditory/visual signals did not greatly affect arm swings or trunk rotations during walking.
Previous studies also found that auditory signals combined with visual signals did not
improve stride length to a greater degree than visual signals alone because when visual
signals and auditory signals are combined, one type of signal interferes with the other34).L-dopa therapy and treatment with deep brain stimulation techniques on the
pedunculo-pontine nucleus site, hypothalamus, etc. are frequently used to treat the various
abnormal movement patterns that arise in PD. However, the application of L-dopa has only a
temporary effect, and deep brain stimulation techniques are invasive methods using surgery
and are used only in cases of terminal PD with highly progressed symptoms. In addition, it
has been reported that although these techniques control symptoms, such as bradykinesia and
ankyloses, there are difficulties in treating the patients’ damaged gait ability or
balance35, 36). Therefore, studies to improve abnormal movement patterns in PD
using non-invasive methods are necessary and if the movement of the arms and trunks of these
patients is to be improved using diverse sensory inputs, as found in the present study.Since the present study was conducted with PDpatients who were receiving ambulatory care,
their gait conditions were fairly good. Therefore, the results of the present study cannot
be easily generalized to all PDpatients or to the training effects of external signals on
arm swings and trunk rotations. These can be regarded as limitations of the present study.
Therefore, additioThere is no conflict of interest in this study.
Authors: I Lim; E van Wegen; C de Goede; M Deutekom; A Nieuwboer; A Willems; D Jones; L Rochester; G Kwakkel Journal: Clin Rehabil Date: 2005-10 Impact factor: 3.477
Authors: M Ferrarin; M Rizzone; B Bergamasco; M Lanotte; M Recalcati; A Pedotti; L Lopiano Journal: Exp Brain Res Date: 2004-10-22 Impact factor: 1.972
Authors: Xuemei Huang; Joseph M Mahoney; Mechelle M Lewis; Stephen J Piazza; Joseph P Cusumano Journal: Gait Posture Date: 2011-11-17 Impact factor: 2.840