Ignite Creation Date:
2024-05-06 @ 12:15 PM
Last Modification Date:
2024-10-26 @ 12:56 PM
Study NCT ID:
NCT03716674
Status:
COMPLETED
Last Update Posted:
2018-10-23
First Post:
2018-08-31
Brief Title:
Autocorrelated Rhythmic Auditory Stimulations for Parkinsons Disease Patients
Sponsor:
Cliniques universitaires Saint-Luc- Université Catholique de Louvain
Organization:
Cliniques universitaires Saint-Luc- Université Catholique de Louvain
Study Overview
Official Title:
Autocorrelated Rhythmic Auditory Stimulations as the Best Way to Use a Metronome for Parkinsons Disease Patients a Prospective Cohort Study
Status:
COMPLETED
Status Verified Date:
2018-10
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Parkinsons Disease PD patients suffer from gait impairments responsible for falls and bad quality of life reduced speed and stride length randomness in stride duration variability reduced Long-Range Autocorrelations LRA Authors showed beneficial effects of isochronic Rhythmic Auditory Stimulation RAS on stride length and speed but a deleterious effect on LRA The aim of this prospective cohort study was to compare between 3 different RAS isochronic random and autocorrelated on 9 PD patients gait parameters and stride duration variability Although the autocorrelated RAS AC does not improve the LRA present in the stride duration variability the AC does however maintain an acceptable level of LRA for PD patients gait stability The autocorrelated RAS would therefore possibly be the best way to apply auditory cueing to PD patients but this must be confirmed by future longitudinal studies
Detailed Description:
BACKGROUND
Basal Ganglia dysfunction in Parkinsons Disease PD induces gait impairment such as shorter stride length reduced gait speed reduced arm swing and an increased randomness in stride duration variability of gait cycles This increased randomness in gait variability is a typical symptom which can lead to falls autonomy loss and reduced quality of life Recently the Long-Range Autocorrelations LRA assessment allowed to emphasize the deterioration of the temporal organization of PD patients gait variability and demonstrated correlations with disease severity and balance status These LRA involve a long-memory process which means that every stride depends on the duration of the previous near and far strides Gait variability should be balanced and should stay in an optimal framework between randomness and over-regularity This means that LRA should be balanced to keep the healthy adaptive capabilities of the system to be in the Optimal Movement Variability which allows the person to move in a stable but still adaptive way LRA measurement would therefore be the first quantitative biomarker of gait instability and risk of falling which is of particular clinical interest
It is now well known that PD patients have a greater gait variability with a decrease of the LRA That means that PD patients are more likely to fall which lowers the quality of life It is also well known that gait disorders do not respond well to dopaminergic pharmacological treatments Therefore it seems important to develop non-pharmacological treatments to improve LRA Rhythmic Auditory Stimulation RAS by mean of a metronome has been studied for years to improve PD patients gait Authors showed that the use of a fixed-tempo isochronic RAS reduced the stride duration variability acting like an external rhythm generator and bypassing the basal ganglia that act like an impaired internal rhythm generator in PD patients It is then suggested that a broader use of a isochronic RAS by the mean of a metronome should be beneficial in gait rehabilitation for PD patients gait parameters such as gait speed stride length stride duration variability and quality of life
However it has been demonstrated that the use of a isochronic RAS decreases LRA in healthy persons and also PD patient Authors suggested that the cognitive load required by a isochronic RAS would be too elevated for PD patients creating a dual tasking and diminishing its applicability in a cueing device This RAS would compel patients to a stereotyped gait instead of an adaptive autocorrelated gait Then the question is Should clinicians continue to use an isochronic RAS by the mean of a metronome for PD patients gait rehabilitation Or should clinicians use autocorrelated RAS to avoid loss of adaptivity but still get the beneficial effects of the metronome The objective of this study was to analyze the effects of 3 different RAS isochronic metronome autocorrelated metronome and random metronome on PD patients gait parameters and stride duration variability magnitude and temporal organization
METHODS
Patients
This study was unicentric Nine PD patients participated in the study and were recruited from the department of Neurology of Cliniques universitaires Saint-Luc Brussels Belgium The study was approved by the local ethics committee All patients gave informed written consent to the study Eligibility criteria will be described in another section
Procedure
Patients were asked to walk around 4 times 1 time for each condition presented below on an oval indoor track of 42 m during 10 minutes each time to get 512 consecutive strides necessary to measure the LRA The indoor track was chosen in order to collect data in a standardized way and to avoid bias linked to environmental conditions that could potentially affect patients balance such as terrain andor weather conditions Two unidimensional accelerometers were taped on patients both lateral malleoli in the antero-posterior direction These accelerometers were connected to a recording device Vitaport 3 - Temec Instruments BV Kerkrade The Netherlands attached to the patients waist This system allowed to record at 512 Hz each positive acceleration peak that correspond to each heel strike The peak of acceleration detected by the software internally developed determined the stride duration
Four conditions were presented to patients in a randomized order One condition consisted on walking without any RAS Spontaneous Condition SC The three other conditions were respectively the Isochronic tempo RAS Condition IC the Random RAS Condition RC and the Autocorrelated RAS Condition AC Each of these three conditions consisted in walking with slight RAS which differ by their temporal organization Each of them were composed with the software Matlab 2014R Mathworks MA and adapted to each patient according to spontaneous gait speed determined by a 10m Walk Test achieved before the experiment Consequently the IC RC and AC respectively contained no RAS variation random variation of the RAS and autocorrelated RAS organized in time and characterized by a Hurst H exponent 080 To resume even if these three RAS had the same mean of the interbeat duration RAS differ from each other by the presence or the absence of rhythm variations different H and alpha exponents During the experiment patients were listening to the RAS through earphones Apple EarPods by the mean of a MP3 player
Before data collection patients listened to the RAS and were asked to mark the rhythm with a finger tapping to see if the temporal structure of the RAS was accurately detected After this patients were asked to walk accordingly to the proposed rhythm A minimum of 10 minutes is necessary to get 512 consecutive gait cycles number required for the application of the signal processing methods detailed below The heading direction taken by the patients clockwise or counterclockwise was randomized between them but each patient kept the same heading direction after randomization The experiment was always performed at the same time of the day for the same patient during ON phase of dopaminergic treatment to avoid drug effect Furthermore a maximum of two conditions were tested during one day with a minimum break of 5 minutes between each of the conditions to avoid a fatigue effect Patients returned a second day to perform the other 2 conditions
Functional assessment
Functional assessments covered the 3 domains of International Classification of Functioning Disability and Health ICF body functions and structures activity and participation Assessments will be described in another section
Gait assessment
Data were extracted from 512 consecutive gait cycles which is required to measure gait variability
Spatiotemporal gait variables
Mean gait speed gait cadence and stride length were measured as follow
Mean gait speed ms-1 Total walking distance m Acquisition duration s
Gait cadence stepsmin-1 Total number of steps Acquisition duration min
Step length m Gait speed ms60Gait cadence stepsmin
Stride duration variability
Stride duration variability can be assessed 2 ways in terms of magnitude or in terms of organization how stride duration evolves across consecutive gait cycles
Magnitude of the stride duration variability
To determine the effect of the RAS on the magnitude of the stride duration variability during 512 gait cycles the mean the standard deviation SD and the coefficient of variation CV SDmean 100 were assessed
Temporal organization of the stride duration variability LRA
Three methods Rescaled Range Analysis Hurst exponent H Power Spectral Density α exponent and d relationship d H- 1 α2 and the surrogate data tests were used to measure LRA The presence of LRA can be shown with a high level of proof when these 3 conditions are met
H is greater than 05
α is significantly different from 0 and less than 1
d 010 If an inconsistency appears between H and α the Randomly Shuffled Surrogate Data Test is applied in order to reject null hypothesis of an absence of temporal structure in studied series
Data were treated by the mean of CVI Labwindows C
Statistical analysis
Statistical analyses were conducted using SigmaPlot 130 A one-way repeated measures ANOVA was applied to determine the presence or absence of effect of the various RAS on spatiotemporal gait parameters gait speed gait cadence stride length and on stride duration variability linear measures mean SD CV and nonlinear measures H exponent and α Another one-way repeated measures ANOVA was applied to analyze the variability of the inter-beat duration of the RAS linear and nonlinear measures When a significant difference between groups was detected with the ANOVA a post hoc Tukey Test was performed to compare each mean with the other means to isolate the groups from each other Spearmans correlation coefficient was measured to analyze the link between the nonlinear measures H α of the stride duration and the inter-beat duration of the RAS The results were considered statistically different for p-values 005
Basal Ganglia dysfunction in Parkinsons Disease PD induces gait impairment such as shorter stride length reduced gait speed reduced arm swing and an increased randomness in stride duration variability of gait cycles This increased randomness in gait variability is a typical symptom which can lead to falls autonomy loss and reduced quality of life Recently the Long-Range Autocorrelations LRA assessment allowed to emphasize the deterioration of the temporal organization of PD patients gait variability and demonstrated correlations with disease severity and balance status These LRA involve a long-memory process which means that every stride depends on the duration of the previous near and far strides Gait variability should be balanced and should stay in an optimal framework between randomness and over-regularity This means that LRA should be balanced to keep the healthy adaptive capabilities of the system to be in the Optimal Movement Variability which allows the person to move in a stable but still adaptive way LRA measurement would therefore be the first quantitative biomarker of gait instability and risk of falling which is of particular clinical interest
It is now well known that PD patients have a greater gait variability with a decrease of the LRA That means that PD patients are more likely to fall which lowers the quality of life It is also well known that gait disorders do not respond well to dopaminergic pharmacological treatments Therefore it seems important to develop non-pharmacological treatments to improve LRA Rhythmic Auditory Stimulation RAS by mean of a metronome has been studied for years to improve PD patients gait Authors showed that the use of a fixed-tempo isochronic RAS reduced the stride duration variability acting like an external rhythm generator and bypassing the basal ganglia that act like an impaired internal rhythm generator in PD patients It is then suggested that a broader use of a isochronic RAS by the mean of a metronome should be beneficial in gait rehabilitation for PD patients gait parameters such as gait speed stride length stride duration variability and quality of life
However it has been demonstrated that the use of a isochronic RAS decreases LRA in healthy persons and also PD patient Authors suggested that the cognitive load required by a isochronic RAS would be too elevated for PD patients creating a dual tasking and diminishing its applicability in a cueing device This RAS would compel patients to a stereotyped gait instead of an adaptive autocorrelated gait Then the question is Should clinicians continue to use an isochronic RAS by the mean of a metronome for PD patients gait rehabilitation Or should clinicians use autocorrelated RAS to avoid loss of adaptivity but still get the beneficial effects of the metronome The objective of this study was to analyze the effects of 3 different RAS isochronic metronome autocorrelated metronome and random metronome on PD patients gait parameters and stride duration variability magnitude and temporal organization
METHODS
Patients
This study was unicentric Nine PD patients participated in the study and were recruited from the department of Neurology of Cliniques universitaires Saint-Luc Brussels Belgium The study was approved by the local ethics committee All patients gave informed written consent to the study Eligibility criteria will be described in another section
Procedure
Patients were asked to walk around 4 times 1 time for each condition presented below on an oval indoor track of 42 m during 10 minutes each time to get 512 consecutive strides necessary to measure the LRA The indoor track was chosen in order to collect data in a standardized way and to avoid bias linked to environmental conditions that could potentially affect patients balance such as terrain andor weather conditions Two unidimensional accelerometers were taped on patients both lateral malleoli in the antero-posterior direction These accelerometers were connected to a recording device Vitaport 3 - Temec Instruments BV Kerkrade The Netherlands attached to the patients waist This system allowed to record at 512 Hz each positive acceleration peak that correspond to each heel strike The peak of acceleration detected by the software internally developed determined the stride duration
Four conditions were presented to patients in a randomized order One condition consisted on walking without any RAS Spontaneous Condition SC The three other conditions were respectively the Isochronic tempo RAS Condition IC the Random RAS Condition RC and the Autocorrelated RAS Condition AC Each of these three conditions consisted in walking with slight RAS which differ by their temporal organization Each of them were composed with the software Matlab 2014R Mathworks MA and adapted to each patient according to spontaneous gait speed determined by a 10m Walk Test achieved before the experiment Consequently the IC RC and AC respectively contained no RAS variation random variation of the RAS and autocorrelated RAS organized in time and characterized by a Hurst H exponent 080 To resume even if these three RAS had the same mean of the interbeat duration RAS differ from each other by the presence or the absence of rhythm variations different H and alpha exponents During the experiment patients were listening to the RAS through earphones Apple EarPods by the mean of a MP3 player
Before data collection patients listened to the RAS and were asked to mark the rhythm with a finger tapping to see if the temporal structure of the RAS was accurately detected After this patients were asked to walk accordingly to the proposed rhythm A minimum of 10 minutes is necessary to get 512 consecutive gait cycles number required for the application of the signal processing methods detailed below The heading direction taken by the patients clockwise or counterclockwise was randomized between them but each patient kept the same heading direction after randomization The experiment was always performed at the same time of the day for the same patient during ON phase of dopaminergic treatment to avoid drug effect Furthermore a maximum of two conditions were tested during one day with a minimum break of 5 minutes between each of the conditions to avoid a fatigue effect Patients returned a second day to perform the other 2 conditions
Functional assessment
Functional assessments covered the 3 domains of International Classification of Functioning Disability and Health ICF body functions and structures activity and participation Assessments will be described in another section
Gait assessment
Data were extracted from 512 consecutive gait cycles which is required to measure gait variability
Spatiotemporal gait variables
Mean gait speed gait cadence and stride length were measured as follow
Mean gait speed ms-1 Total walking distance m Acquisition duration s
Gait cadence stepsmin-1 Total number of steps Acquisition duration min
Step length m Gait speed ms60Gait cadence stepsmin
Stride duration variability
Stride duration variability can be assessed 2 ways in terms of magnitude or in terms of organization how stride duration evolves across consecutive gait cycles
Magnitude of the stride duration variability
To determine the effect of the RAS on the magnitude of the stride duration variability during 512 gait cycles the mean the standard deviation SD and the coefficient of variation CV SDmean 100 were assessed
Temporal organization of the stride duration variability LRA
Three methods Rescaled Range Analysis Hurst exponent H Power Spectral Density α exponent and d relationship d H- 1 α2 and the surrogate data tests were used to measure LRA The presence of LRA can be shown with a high level of proof when these 3 conditions are met
H is greater than 05
α is significantly different from 0 and less than 1
d 010 If an inconsistency appears between H and α the Randomly Shuffled Surrogate Data Test is applied in order to reject null hypothesis of an absence of temporal structure in studied series
Data were treated by the mean of CVI Labwindows C
Statistical analysis
Statistical analyses were conducted using SigmaPlot 130 A one-way repeated measures ANOVA was applied to determine the presence or absence of effect of the various RAS on spatiotemporal gait parameters gait speed gait cadence stride length and on stride duration variability linear measures mean SD CV and nonlinear measures H exponent and α Another one-way repeated measures ANOVA was applied to analyze the variability of the inter-beat duration of the RAS linear and nonlinear measures When a significant difference between groups was detected with the ANOVA a post hoc Tukey Test was performed to compare each mean with the other means to isolate the groups from each other Spearmans correlation coefficient was measured to analyze the link between the nonlinear measures H α of the stride duration and the inter-beat duration of the RAS The results were considered statistically different for p-values 005
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None