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Reliability of Two Methods for Identifying the Postural Phase of Gait Initiation in Healthy and Post-stroke Subjects

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Reliability of two methods for identifying the postural

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phase of gait initiation in healthy and post-stroke

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subjects

3

Andreia S. P. Sousa (PhD) 4

Escola Superior da Tecnologia de Saúde do Instituto Politécnico do Porto, Área 5

Científica de Fisioterapia, Centro de Estudos de Movimento e Atividade Humana, Rua 6

Valente Perfeito, 322 - 4400-330 Vila Nova de Gaia, PORTUGAL 7

E-mail: [email protected], [email protected] 8

9

Augusta Silva (PhD) 10

Escola Superior da Tecnologia de Saúde do Instituto Politécnico do Porto, Área 11

Científica de Fisioterapia, Centro de Estudos de Movimento e Atividade Humana, Rua 12

Valente Perfeito, 322 - 4400-330 Vila Nova de Gaia, PORTUGAL 13 E-mail: [email protected] 14 15 Rubim Santos (PhD) 16

Escola Superior da Tecnologia de Saúde do Porto, Área Científica de Física, Centro de 17

Estudos de Movimento e Atividade Humana, Rua Valente Perfeito, 322 - 4400-330 Vila 18

Nova de Gaia, PORTUGAL 19

E-mail: [email protected] 20

21

Conflict of interest disclosure: The authors declare that there are no conflicts of

22 interest. 23 24 Corresponding author: 25 Andreia S. P. Sousa (PhD) 26

Escola Superior da Tecnologia de Saúde do Instituto Politécnico do Porto, Área 27

Científica de Fisioterapia, Centro de Estudos de Movimento e Atividade Humana, Rua 28

Valente Perfeito, 322 - 4400-330 Vila Nova de Gaia, PORTUGAL 29

E-mail: [email protected], [email protected] 30

Abstract

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This study aims to compare two methods of assessing the postural phase of gait 32

initiation as to intrasession reliability, in healthy and post-stroke subjects. As a 33

secondary aim, this study aims to analyse anticipatory postural adjustments during gait 34

initiation based on the centre of pressure (CoP) displacements in post-stroke 35

participants. The CoP signal was acquired during gait initiation in fifteen post-stroke 36

subjects and twenty-three healthy controls. Postural phase was identified through a 37

baseline-based method and a maximal displacement based method. In both healthy and 38

post-stroke participants higher intra-class correlation coefficient and lower coefficient 39

of variation values were obtained with the baseline-based method when compared to the 40

maximal displacement based method. Post-stroke participants presented decreased CoP 41

displacement backward and toward the first swing limb compared to controls when the 42

baseline-based method was used. With the maximal displacement based method, there 43

were differences between groups only regarding backward CoP displacement. Postural 44

phase duration in medial-lateral direction was also increased in post-stroke participants 45

when using the maximal displacement based method. The findings obtained indicate 46

that the baseline-based method is more reliable detecting the onset of gait initiation in 47

both groups, while the maximal displacement based method presents greater sensitivity 48

for post-stroke participants. 49

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Keywords: gait initiation; postural control phase; stroke; reliability; centre of pressure

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Word count: 3969

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Abstract word count: 199

54 Number of tables: 2 55 Number of figures: 2 56 Introduction 57

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Gait initiation is an important part of locomotion and has been described as the 58

transient state between two steady states - standing and walking.1,2 This transition from 59

a quasi-static state (quiet standing) to a dynamic state (walking) is considered to be 60

governed by a motor program, as stereotyped patterns of activity, soleus inhibition and 61

tibialis anterior activation, and invariant relative timing have been demonstrated.3,4 62

These first phase mechanisms, namely anticipatory postural adjustments, are 63

responsible for moving the centre of pressure (CoP) under the feet backward and toward 64

the first swing limb.5-7 In turn, CoP displacement increases anterior-posterior and 65

medial-lateral components of the ground reaction force, thereby generating momentum 66

in those directions for taking a step before the centre of mass moves out of the base of 67

support.4,7 Thus, the central nervous system uses stable, efficient mechanisms for 68

dealing with the inherent instability of upright bipedalism during gait initiation.8,9 For 69

this reason, CoP displacement backward and toward the first swing limb has been 70

identified as the postural phase of gait initiation.10-14

71

Disturbance of gait initiation is common in patients with central nervous system 72

impairment, like stroke. In this condition, postural adjustments’ dysfunction during the 73

postural phase is related to disturbance in the first step.15-18 However, despite the 74

importance of the postural phase in gait initiation performance, there has been a poor 75

standardisation of methods to identify the onset of the postural phase of gait initiation, 76

as different variables have been used: centre of mass migration and acceleration, ground 77

reaction force and CoP related variables.10-15,18-22 Whereas studies assessing the centre 78

of mass and ground reaction force stated how the event was computed, the same is not 79

observed in studies involving CoP related variables.10-15,18,20-22 Since gait initiation is the 80

transition between standing and walking, two methods used in centre of mass 81

displacement evaluation may be transferred to CoP variables: 1) one based CoP 82

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displacement during upright standing (baseline-based method), and 2) another based on 83

maximal CoP displacement backward and toward the first swing limb (maximal 84

displacement based method).20-22 While the methods used to identify the beginning of 85

the postural phase of gait initiation are poorly standardised, the end of the postural 86

phase has been identified most often as the instant where the CoP reaches its maximum 87

backward and toward the first swing limb positions.10,12,13 The methods used in studies 88

assessing the centre of mass can be transferred to CoP variables to identify the onset of 89

the postural phase of gait initiation. However, it is important to know their reliability, as 90

this analysis has not been done yet. 91

Given the postural phase impacts on forward displacement performance, it is 92

important to select a reliable method to assess this particular phase of gait initiation as 93

measurement errors can seriously affect statistical analysis and interpretation.23 This 94

should be analysed in healthy subjects, but also in subjects with lower performance in 95

gait initiation as post-stroke subjects.24,25 Such knowledge has the potential to provide a

96

foundation for answering research questions about the most reliable method to assess 97

the postural control phase of gait initiation in pathologic and non-pathological 98

conditions, and to assess motor control, as the onset of CoP displacement is a key event 99

for electromyography analysis when postural adjustments are investigated.26,27 From a 100

clinical point of view, this study contributes to establish how outcomes of interventions 101

can be quantified to assess postural control measures. 102

The aim of the present study was to compare the reliability of CoP displacements 103

during the postural phase of gait initiation calculated by two methods of detection the 104

beginning of the postural phase (baseline-based vs. maximal displacement based 105

methods) in health and post-stroke participants. For this, the intra-session reliability was 106

calculated to assess the variability of each method.28 As secondary aim, this study 107

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analysed anticipatory postural adjustments based on the CoP displacements in post-108

stroke participants. Based on the findings obtained by Breniere (1996) that the natural 109

body frequency (ratio between the amplitude of the centre of mass and of the CoP) is an 110

absolute invariant parameter, specific to human standing and gait, it can be 111

hypothesised that CoP displacement values calculated with the baseline-based method 112

than with the maximal displacement based method are more reliable.29 As to the 113

secondary purpose, based on the results obtained by Brunt (1995), demonstrating weight 114

bearing asymmetry in subjects with stroke, and by Hesse et al. (1997), demonstrating 115

changes in temporal muscle sequence during gait initiation, it can be hypothesised that 116

post-stroke subjects present decreased CoP shift backward and toward the swing limb 117

regardless of the method used.16,30 118 119 Methods 120 Participants 121

Fifteen patients who had suffered a stroke at least 6 months earlier (8 females, 7 122

males) and 23 healthy participants (12 females, 11 males) participated in this study 123

(demographic descriptors can be found in Table 1). The mean time between their stroke 124

and the time of inclusion in this study was 24.9±11.5 months (6-40 months). All post-125

stroke participants suffered an ischemic stroke at the subcortical level (internal capsule): 126

8 of them had suffered an infarction in their left hemisphere, whereas 5 had suffered an 127

infarction in their right hemisphere. To be included, patients were required to: (1) have 128

suffered a first-ever ischemic stroke involving the middle cerebral artery territory, as 129

revealed by computed tomography, resulting in hemiparesis; (2) have a Fugl-Meyer 130

(Assessment of Sensorimotor Recovery After Stroke scale) score in the motor 131

subsection below 34;31 (3) have the ability to walk, with close supervision if necessary, 132

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but without physical assistance as judged by the treating physiotherapist; (4) have the 133

ability to stand with feet apart for 30 seconds or more; and(5) have provided written or 134

verbal informed consent. Patients were excluded for one or more of the following 135

reasons: (1) cognitive deficit that could hinder communication and cooperation (score 136

below 24 in the Mini-Mental State Examination); (2) history of orthopaedic or 137

neurological (other than stroke) disorders, known to affect walking performance and 138

quiet standing position; (3) history of stroke involving the brainstem or cerebellar areas; 139

and (4) taking medication such has antispasticity medication that could affect motor 140

performance and balance. Gait data of post-stroke participants were compared with data 141

obtained from the 23 healthy control participants. All participants in the control group 142

were sedentary and were selected according to the same exclusion criteria which were 143

applied to the post-stroke group; they were excluded if they had suffered any 144

neurological disorder. Participants were considered sedentary if their practice of 145

physical activities was less than three times per week during 20 minutes of continuous 146

vigorous physical activities or less than 5 times per week during 30 minutes of 147

continuous or intermittent moderate physical activities for at least the last 2 years. The 148

study was approved by the local ethics committee and implemented according to the 149

Declaration of Helsinki. 150

Instrumentation

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The values of the vertical (Fz), anterior-posterior (Fx) and medial-lateral (Fy)

152

components of the ground reaction force, as well as the values of the moments of force 153

in the frontal (My) and sagital (Mx) planes, were acquired using a force platea at a 154

sampling rate of 1000Hz (FP4060-08 model from Bertec Corporation (USA), connected 155

to a Bertec AM 6300 amplifier a and to an analogue board b, from Qualysis, Inc.

156

(Sweden)). 157

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The force plate signals were analysed with the Acqknowledge software (Biopac 158

Systems, Inc., USA). 159

Procedures

160

Data acquisition 161

All participants used their own regular footwear (1.5cm heel) while standing on a 162

force plate, with feet at pelvis width and with their arms by their sides. They were asked 163

to stand as still as possible and to focus on a target 2 meters away and at eye level for 30 164

seconds. After this, participants were asked to walk at self-selected speed over a 5 m 165

walkway, without explicit instructions. If a subject asked which leg to start with, the 166

researcher replied ‘‘whatever feels natural for you,’’ as lower limb preference plays an 167

influential role in the control of frontal plane body motion during gait initiation.32

168

However, participants were asked to keep the starting leg consistent over all trials. A 169

trial was considered valid when the subject performed at least three steps. Each subject 170

performed three trials with rest periods of 60 seconds between each trial, when the 171

subjects remained seated. Before data acquisition, sufficient time was given so that the 172

participants became familiar with the experimental settings. 173

Data processing 174

Ground reaction force signals were low-pass filtered using a fourth-ordered 175

Butterworth filter by using a zero-phase lag with a cut-off frequency of 20 Hz. The 176

acquired force and moment of force-time series of each trial were used to calculate the 177

CoP fluctuation in the anterior-posterior (AP) and medial-lateral (ML) directions using 178

the following approximations: 179

CoPAP= My

Fz, (1)

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CoPML = Mx

Fz (2)

181

CoP displacement in AP and ML directions, during the postural phase of gait 182

initiation, was calculated using the difference between maximum CoP backward (first 183

inflection of CoPAP ) and toward the swing limb (first inflection of CoPML) positions

184

and the CoP position associated to the beginning of its displacement for each direction, 185

respectively (Figure 1). Two methods were used to identify the beginning of CoP 186

displacement: (1) a baseline-based method and (2) a maximal displacement based 187

method. In both methods, identification was achieved using a computer program and 188

visual inspection. 189

Baseline-based method 190

The mean of peak-to-peak amplitude and the dispersion time series estimated by 191

standard deviation (SD) of CoP displacement were calculated for the ML and AP 192

directions from 5 to 25 seconds of upright quiet standing. The mean plus 3 times the SD 193

was defined as the threshold for gait initiation onset. The CoP position at the beginning 194

of its displacement backward and towards the swing limb was assessed at the beginning 195

of an interval lasting for at least 50 ms when its absolute value was higher than the 196

threshold (Figure 1).15 Only changes of CoP displacement with a minimum duration of 197

50 ms were considered, to exclude variations that are not related to gait initiation, as this 198

interval corresponds to the electromechanical delay.33 199

Maximal displacement based method 200

The CoP position in AP and ML directions was assessed at the beginning of the 201

interval lasting at least 50 ms, when its value was higher than 5% of the magnitude of 202

the first inflection of CoPAP displacement and of the magnitude of the first inflection of

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CoPML displacement, respectively (Figure 1).15

204

The threshold’s selection was adapted from methods used on previous studies that 205

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have used the same criterion for other biomechanical variables, and on the fact that it 206

provided a good agreement with visual inspection.21,22,34 207

Statistical analysis

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The acquired data were analysed using the Statistic Package Social Science (SPSS)c

209

software version 22, from IBM Company (USA). Reliability measures of CoP 210

displacement assessed from each method were calculated for healthy (n=23) and post-211

stroke participants (n=15). The Intra-Class Correlation Coefficient (ICC2,1) with a 95%

212

Confidence Interval (CI) was used because it considers random effects over time and 213

expresses relative reliability of the measures of CoP displacement obtained with each 214

method. 23 Specifically, a two-way ANOVA model with a random subject effect was 215

used to estimate the intra-session reliability. The following range of reliability 216

coefficients were used to report the degree of reliability: 0.00 to 0.25 – little, if any 217

correlation; 0.26 to 0.49 – low correlation; 0.50 to 0.69, moderate correlation; 0.70 to 218

0.89, high correlation and 0.90 to 1.00, very high correlation. 35 The Coefficient of

219

Variation (CV) was used to express absolute reliability and was calculated per subject, 220

by dividing SD by the mean of three trials. 221

Shapiro–Wilk test results and histogram analysis have shown that data were 222

normally distributed. The statistical difference between ICCs was evaluated through the 223

application of Fisher’s Z transformation, with significance determined with the t 224

statistic. The paired samples T-test was used to compare the CV, CoP displacement and 225

postural phase duration values obtained with each method. The independent samples T-226

test was used to compare mean values of CoP displacement and CV values between 227

healthy and post-stroke groups. Because of the reduced sample, the Wilcoxon test was 228

used to compare CoP displacement between post-stroke participants that initiated gait 229

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with the ipsilesional limb, n=6 and those who initiated gait with the contralesional limb, 230

n=9. Cohen's d was calculated to assess effect size and power analysis (1-β) was 231

performed to give an indication of the power of hypothesis tests and the magnitude of 232

the differences that researchers are able to detect in those settings. A 0.05 significance 233

level was used for inferential analysis 234

Results

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Higher reliability was obtained in CoP displacement values during the postural 236

phase of gait initiation when using the baseline based method, in both healthy and post-237

stroke participants. 238

In healthy participants, when the baseline-based method was used, CoP 239

displacement measures presented high to very high correlation, while values obtained 240

with the maximal displacement based method presented high correlation (Table 2). 241

Despite a tendency to lower values of ICC in the maximal displacement based method, 242

no significant differences were observed (CoPAP, p=.104; CoPML, p=.164). When

243

analyzing CV values, statistically significant differences between methods occurred in 244

both CoPAP (p=.001, (1-β)=.99, Cohen´s d=1.11) and CoPML (p=.005, (1-β)=.45,

245

Cohen´s d=.37), with higher values in the maximal displacement based method (Table 246

2). 247

In post-stroke participants, CoP displacement calculated using the baseline-based 248

method presented high to very high intra-session correlation values, while moderate to 249

high intra-session correlation values were obtained using the maximal displacement 250

based method. However, there were no significant differences (CoPAP, p=.278; CoPML,

251

p=.194). The differences in reliability between the methods were more pronounced in 252

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CV values, as higher values were observed in CoPAP displacement (p=.007, (1-β)=.99,

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Cohen´s d=1.24) in the maximal displacement based method (Table 2). 254

Generally, CoP displacement was lower in post-stroke participants when compared 255

to healthy participants (Table 2). Specifically, the post-stroke group presented lower 256

CoP displacement backwards (p=.031) and towards the first swing limb (p=.001) when 257

the baseline-based method was used. Despite decreased CoP displacement, post-stroke 258

participants presented generally higher values of absolute variability (Table 2). When 259

the maximal displacement based method was used, statistical differences were only 260

observed in CoPAP displacement (p=0.007) and higher absolute variability was observed

261

in CoPAP displacement (p=.004) in post-stroke subjects when compared to health

262

participants (Table 2). No significant differences were observed in ICC values between 263

healthy and post-stroke participants in both methods (Table 2). 264

Nine post-stroke participants initiated gait with their contralesional limb, while six 265

initiated gait with their ipsilesional limb. Globally, a trend to decreased CoP 266

displacement and increased absolute variability was observed in both limbs of post-267

stroke participants, when compared to healthy participants, in both methods (Figure 2). 268

No differences were observed between post-stroke participants that initiated gait with 269

ipsilesional and contralesional limbs in the baseline-based method (AP, p=.877, (1-270

β)=.13, Cohen´s d=.14; ML, p=.643, (1-β)=.09, Cohen´s d=.10) and in the maximal 271

displacement based method (AP, p=.09, β)=.34, Cohen´s d=.3; ML, p=.643, (1-272

β)=.18, Cohen´s d=.24). 273

When both methods were compared as to CoP displacement, significant differences 274

were only observed in CoP displacement towards the first swing limb in subjects with 275

stroke (p=0.039). Higher values were obtained using the maximal displacement based 276

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method (Table 2). In general, a trend to higher durations of postural phase were 277

obtained with this method for CoP displacement towards the first swing limb (baseline-278

based method, 431±209ms (healthy), 563±281ms (post-stroke); maximal displacement 279

based method, 504±196ms (healthy), 631±371ms (post-stroke)), while a trend to higher 280

duration of postural phase was obtained for CoP backwards displacement using the 281

baseline-based method (baseline-based method, 548±259ms (healthy), 618±252ms 282

(post-stroke); maximal displacement based method, 366±187ms (healthy), 509±346ms 283

(post-stroke)). Despite this tendency, statistically significant differences between 284

methods were obtained for the duration of the postural phase in ML direction in subjects 285

with stroke (p=0.028). 286

Discussion

287

Generally, both methods were reliable for identifying the postural control phase of 288

gait initiation in healthy subjects. This low within-subject variability, associated with 289

the non-significant differences observed between CoP displacement obtained with the 290

two methods, demonstrates that both methods can be used to identify the postural phase 291

of gait initiation in healthy participants. These high values of intra-session reliability are 292

consistent with the evidence that the initiation of gait is accomplished by stereotyped 293

patterns of activity and consequently stereotyped trajectory of CoP displacement.3,4 294

However, the results obtained as to absolute reliability favour the use of the baseline-295

based method over the maximal displacement based method. 296

Higher differences between methods were obtained in post-stroke participants. 297

Lower values of absolute variability were obtained with the baseline-based method 298

associated with a trend to higher values of ICC, when compared to the maximal 299

displacement based method. These findings seem to corroborate the high values of 300

reliability for CoP displacement parameters obtained in upright standing in post-stroke 301

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subjects.36,37 In fact, this has been demonstrated to occur despite the standing balance 302

of post-stroke participants is characterised by increased CoP displacement and an 303

asymmetrical weight bearing distribution in favour of the ipsilesional limb.36,37 304

It has been shown that increased CoP movements during quiet standing in post-305

stroke subjects seem partly related to increased body sway and partly to exaggerated 306

corrective ankle mechanisms.38,39 Based on this, it seems reasonable that the baseline-307

based method is associated with lower values of CoPdisplacement torwards the first 308

swing limb during the postural phase of gait initiation when compared to the maximal 309

displacement based method. As there is higher CoP displacement during standing in 310

post-stroke participants, the baseline standard deviation is higher. As a consequence, it 311

takes longer to mark the onset of CoP displacement. In the present study, increased 312

duration of the postural phase in ML direction was obtained in the post-stroke group 313

when the maximal displacement based method was used. The greater the displacement 314

of CoP in baseline, the lower will be the window of gait initiation extracted by the 315

baseline method. As a consequence, CoP displacement values would be lower when 316

compared to the maximal displacement method. In this case, the maximal displacement 317

based method would possibly be more accurate to identify the CoP displacement 318

towards the first swing limb onset as the baseline method is more influenced by the 319

amount of sway during standing (baseline). In fact, when compared to healthy 320

participants, different results have been obtained in post-stroke participants with each 321

method. While lower CoP backwards displacement and lower CoP displacement 322

towards the first swing limb was observed when the baseline-based method was used, 323

no differences occurred in CoPML displacement with the maximal displacement based

324

method. The differences between control and post-stroke groups as to CoPML

325

displacement assessed with the baseline-based method may be caused by differences in 326

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baseline due to differences in body sway. However, the results obtained in the present 327

study do not allow us to confirm this hypothesis. 328

Globally, the findings of the present study support the use of the baseline-based 329

method to assess in a reliable way the onset of gait initiation. However, because the 330

baseline method is more influenced by the amount of sway during standing, the 331

maximal displacement based method seems to present greater sensitivity in identifying 332

the beginning of CoPML displacement in post-stroke subjects. A higher variability of

333

CoPML displacement during standing can explain the higher sensitivity of maximal

334

displacement for detecting the beginning of CoP displacement towards the first swing 335

limb. However, future studies are required to confirm this hypothesis. 336

The lower CoP displacement backwards and towards the first swing limb, observed 337

in post-stroke participants, impairsposture stability and motor performance.40 The 338

decrease of CoP backward displacement during the postural phase leads to lower 339

generation of forward momentum of the centre of mass and a consequent impairment of 340

gait velocity and step length.7,18 The dynamic stability is also compromised,as the 341

reduction of CoP shift towards the swing-leg side increase the extent to which the centre 342

of mass falls toward the swing-leg side during step execution, reducing the ML stability 343

during gait initiation.8,41 344

The decreased backward CoP shift has been associated with a decreased inhibition 345

of the soleus and the gastrocnemius and lower tibialis anterior activity associated with a 346

delayed onset.11,17 The dysfunction of the postural phase of the contralesional limb can 347

result from tibialis anterior activation deficit as a consequence of affection of the lateral 348

cortico-spinal system and from impairments in anticipatory postural adjustments as a 349

result of a deregulation of supplementary motor area and premotor cortex. A 350

deregulation of supplementary motor area and premotor cortex is typically found in 351

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post-stroke subjects showing damage in the territory of the middle cerebral area.42-44 It 352

should be noted that a lesion in the premotor cortex affects the anticipatory postural 353

adjustments of bilateral lower extremities in step initiation.43 Postural control 354

dysfunction of the ipsilesional limb has been demonstrated in other functional tasks and 355

particularly in participants with sub-cortical injuries located at the internal capsule 356

level.45-47 In fact, injuries located at this region are typically associated with dysfunction 357

of the ventral–medial systems and may justify changes in the activity of the ipsilesional 358

soleus muscle.48 The neuronal connection of the soleus and the tibialis anterior need 359

further discussion, but it can constitute a possible explanation to the dysfunction of the 360

postural phase of gait initiation in the ipsilesional limb. Under this perspective, future 361

research should attempt to investigate the activation patterns of ankle muscles during 362

gait initiation of post-stroke participants. 363

The results obtained in this study indicate that both methods are reliable tools to 364

assess the postural phase of gait initiation in healthy and post-stroke participants. Higher 365

values of CoP displacements reliability were obtained with the baseline-based method. 366

However, because the baseline method is more influenced by the amount of sway 367

during standing, the maximal displacement based method seems to present greater 368

sensitivity in identifying the beginning of CoPML displacement in post-stroke subjects.

369

Both methods demonstrated that post-stroke participants present decreased CoP 370

displacement during the postural phase of gait initiation. From a clinical point of view, 371

these results indicate that attention should be given to the postural phase of gait 372

initiation in the rehabilitation of post-stroke participants. 373

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Figure Captions

517

Figure 1: Representation of CoP displacement during the beginning of gait initiation 518

with the right limb as first swing limb. The gray box in part a) represents an 519

approximation of postural control phase of gait initiation. The onset of CoP 520

displacement for AP and ML determinated by the baseline-based method (grey line) and 521

the maximal displacement based method (dark line) are more precisely represented in 522

part b). Dashed lines represent the threshold obtained with each method. The gray box 523

in part b) represents postural control phase of gait initiation obtained by both methods. 524

Figure 2: Mean (bars) ± SD (error bars) of CoP displacement and CV obtained in 525

ipsilesional and contralesional limbs of post-stroke subject and healthy controls during 526

the postural phase of gait initiation with the baseline-based method and the maximal 527

displacement based method. 528

References

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