Next Article in Journal
Neuromodulation for Pelvic and Urogenital Pain
Next Article in Special Issue
Corticospinal Excitability to the Biceps Brachii is Not Different When Arm Cycling at a Self-Selected or Fixed Cadence
Previous Article in Journal
Role of Mitochondrial Dysfunction in Degenerative Brain Diseases, an Overview
Previous Article in Special Issue
Chiropractic Manipulation Increases Maximal Bite Force in Healthy Individuals
 
 
Article
Peer-Review Record

Does Location of Tonic Pain Differentially Impact Motor Learning and Sensorimotor Integration?

Brain Sci. 2018, 8(10), 179; https://doi.org/10.3390/brainsci8100179
by Erin Dancey, Paul Yielder and Bernadette Murphy *
Reviewer 1: Anonymous
Reviewer 2:
Brain Sci. 2018, 8(10), 179; https://doi.org/10.3390/brainsci8100179
Submission received: 24 July 2018 / Revised: 29 August 2018 / Accepted: 21 September 2018 / Published: 24 September 2018

Round 1

Reviewer 1 Report

The authors have done a nice job adding to their growing body of work in this area. I have only minor comments that should be considered prior to acceptance of the manuscript for publication.


Please use exact p-values in the abstract and elsewhere.

L31. Missing the period following "process."

suggest defining remote, local and contralateral in the introduction. I wasn't exactly sure of the difference until the methods, at which point they had already been discussed. On that note, i think the rationale for using the contralateral limb could be strengthened. Is there a segmental cross-over effect of pain or would potential contralateral effects only be mediated at the cortical level? I don't know the answer but believe it may be beneficial to know.

L97. ensure the dominant APB is stated.

Figure 2. The y-axis label looks odd. Suggestion: "SEP peak amplitude (normalized average)" with the "normalized average" portion under the "SEP peak amplitude".  won't look as long then, same for B.

Figure 3. can you use arrows to point to the portion of the trace represented by the label? Would help ensure that the reader is viewing exactly what you want them to. Also, I assume these are not actually raw traces as stated in the legend, but are rather the average of several raw traces (1000!). please state this, assuming I am correct.

Figure 4. Y-axis typos. Average spelled wrong and percent should be capitalized.



Author Response

Reviewer 1

The authors have done a nice job adding to their growing body of work in this area. I have only minor comments that should be considered prior to acceptance of the manuscript for publication.

Thank you for the kind and helpful feedback.

Please use exact p-values in the abstract and elsewhere.

L31. Missing the period following "process."

This has been added in.

suggest defining remote, local and contralateral in the introduction. I wasn't exactly sure of the difference until the methods, at which point they had already been discussed.

We have added in definitions of remote local and contralateral to the introduction.

On that note, i think the rationale for using the contralateral limb could be strengthened. Is there a segmental cross-over effect of pain or would potential contralateral effects only be mediated at the cortical level? I don't know the answer but believe it may be beneficial to know.

The rationale for using the contralateral limb was to determine if the improved accuracy that we observed in our previous work was due to attentional mechanisms (would see improved motor learning accuracy for the same limb compared to the contralateral limb) or an overall increase in arousal during the painful stimulation (no difference in accuracy between the groups). Section 48-53 of the manuscript has been revised.

L97. ensure the dominant APB is stated.

This has been added in.

Figure 2. The y-axis label looks odd. Suggestion: "SEP peak amplitude (normalized average)" with the "normalized average" portion under the "SEP peak amplitude".  won't look as long then, same for B.

This has been altered.

Figure 3. can you use arrows to point to the portion of the trace represented by the label? Would help ensure that the reader is viewing exactly what you want them to. Also, I assume these are not actually raw traces as stated in the legend, but are rather the average of several raw traces (1000!). please state this, assuming I am correct.

Arrows have been added and the legend has been corrected.

Figure 4. Y-axis typos. Average spelled wrong and percent should be capitalized

This has been corrected.


Author Response File: Author Response.docx

Reviewer 2 Report

The authors should clarify the clinical relevance of the study. The first sentence of the paper refers to rehabilitation but this is not clear if it refers to acute, e.g. musculoskeletal injury, or chronic conditions. Given the acute nature of the pain in the study, it appears to be more related to acute rehabilitation, but then reference to chronic pain is made later in the Discussion. Related to this, the authors should justify what a cutaneous pain model is used when joint or muscle pain appears more relevant for musculoskeletal pain.

 

The hypotheses for the study and the rationale for these need to be explained more carefully. Currently, the explanation provided on p2 lines 45-48 and hypotheses presented on lines 73-77 are difficult to follow and the reasoning is not clear.

 

The lack of a control group without pain seems to be a major limitation of the current study. The authors several times refer to improved learning during acute pain, but there is no comparison group who learnt the task without pain. Thus, it cannot be determined there was improved learning in any of the groups. A control group would also have clarified if the SEP/behavioural changes were related to pain, motor training, or their interaction.

 

Some justification of the sample size is required given the small number, the large variability in the outcome measures, and the general lack of significant findings.

 

It would be useful to have a picture of the motor tracing task set-up as I found it hard to visualise what was actually done. Also, some sample behavioral data illustrating how the motor error was determined would be beneficial.

 

I am not sure why only some of the SEP peaks were reported on in the Results. Were these the ones with clear hypotheses, or only the ones with significant findings? In general, the results could be presented clearer. For each outcome measure, the main and interaction effects should be reported clearly. Actual P values should be presented instead of P<0.05. Were latency data analysed or reported?

 

I found the Discussion difficult to follow in places. The rationale for several of the points made needs further explaining as they do not appear to be supported by the data. See comments below for examples.

 

Specific comments

Page 1, line 32. There is a full stop missing at the end of the sentence.

Page 1, line 34. It would be useful to explain what capsaicin does for those who are not familiar with acute pain research.

Page 4, lines 159-163. Why were two separate ANOVAs completed for the pain data, and not one ANOVA with multiple time periods? The post-hoc test/s undertaken should be named in the Methods.

Page 9, lines 282-293. It would be beneficial to describe what area 3b represents for those who are not familiar with brain anatomy. In this paragraph, it is not clear where the reference to the cerebellum comes from. Why are they cerebellar-induced SEP changes? The following sentences suggest that activation of the cerebellum in response to nociceptive stimuli supports the role of the cerebellum in comparing error signals. I do not see the link between these two functions. Further down, a top-down model of attention is proposed. Yet, I do not see why it cannot be described as a bottom-up model, where the peripheral stimulus captures the attention. This needs to be explained better.

Page 9, line 297. I do not follow how a lack of change in N20 and N24 corroborates previous research showing these peaks significantly changed amplitude following motor learning.

Page 9, line 301. Given the lack of a no-capsaicin control group, how do the authors know that sensorimotor integration areas referred to in this sentence are not implicated in motor skill acquisition without the presence of pain?

Page 9, lines 305-306. How does the data support a role of the cerebellum in motor learning when there was a change in the N18 peak in only one group, yet they all learnt to the same extent?

Page 9, lines 307-308. What are the cortical projections to the pons that pertain to acute pain?

Page 10, lines 314-315. I am not sure what this final sentence means. It requires further explanation.

Page 10, lines 341-344. I do not following the rationale for suggesting that a motor learning coping strategy could be a useful treatment for chronic pain. The motor learning task did not appear to reduce pain.

Page 10, line 352. It is not possible to see “improved” motor learning during pain in the current study as all groups had pain.

Page 11, lines 372-373. I am not sure how the study demonstrates that sensorimotor integration areas are vital for motor learning during pain. This requires further explanation.

Figure 1. Abbreviations need to be defined in the figure legend.

Figure 4. There is a spelling mistake in the Y axis caption


Author Response

Reviewer 2

The authors should clarify the clinical relevance of the study. The first sentence of the paper refers to rehabilitation but this is not clear if it refers to acute, e.g. musculoskeletal injury, or chronic conditions. Given the acute nature of the pain in the study, it appears to be more related to acute rehabilitation, but then reference to chronic pain is made later in the Discussion. Related to this, the authors should justify what a cutaneous pain model is used when joint or muscle pain appears more relevant for musculoskeletal pain.

Thank your for this helpful feedback which has enabled us to better clarify why we selected an acute tonic pain model. A tonic cutaneous pain model (capsaicin cream) that does not cause increased pain in response to specific movements was purposely chosen to ensure that movement would not lead to increased pain sensation.  When movement increases pain, it alters movement patterns and makes it impossible to determine if motor skill acquisition has improved or deteriorated, since participants often change their entire movement strategy to avoid the pain (Boudreau et al, 2007).  Using healthy participants is an important first step in order to be able to cleanly measure the impact of a tonic pain stimulus on motor skill acquisition.

We have added chronic pain to the introduction in order to clarify. We have also added two statements (line 33-36 and 56-60) that clarify why we used an acute tonic pain model.

The hypotheses for the study and the rationale for these need to be explained more carefully. Currently, the explanation provided on p2 lines 45-48 and hypotheses presented on lines 73-77 are difficult to follow and the reasoning is not clear.

These sections have been altered in order to clarify.

The lack of a control group without pain seems to be a major limitation of the current study. The authors several times refer to improved learning during acute pain, but there is no comparison group who learnt the task without pain. Thus, it cannot be determined there was improved learning in any of the groups. A control group would also have clarified if the SEP/behavioural changes were related to pain, motor training, or their interaction.

There was still improved motor learning compared to baseline measures for all three groups (after acquisition and at retention). The phrase “following motor learning acquisition and at retention” has been added to the relevant sections in order to clarify.

This was an extension of our previous work which utilized the same task and included a control group. We have added this to the introduction to make this clear.

 

Some justification of the sample size is required given the small number, the large variability in the outcome measures, and the general lack of significant findings.

 

We based our sample size on our previous research (Dancey et al. 2014; Dancey et al. 2016) where we saw statistically significant effects with ten to fourteen participants.  GPOWER statistical software (Faul and Erdfelder 1992), indicates that for a medium effect size of 0.5 with an alpha level of 0.05 and a power level of 0.95 (set high so as to minimize the probability of type II error), 12 participants are needed for Repeated Measures designs with pre-planned contrasts to baseline for the individual experiments planned within each aim hence we used 12 participants per group.

It would be useful to have a picture of the motor tracing task set-up as I found it hard to visualise what was actually done. Also, some sample behavioral data illustrating how the motor error was determined would be beneficial.

 We have added a photograph of the motor tracing task (figure 2).

Please see below for a sample of the behavioural data for one participant (Note: these are the error results for one trace version, pre motor learning acquisition, 4 different traces of varying amplitude and frequency are presented at all assessment time point and 12 traces (3 presentations of each version) are presented during the acquisition phase

Sample #

Delta

Error%

1

0.129904

15.1051

2

0.92776

107.879

3

1.87324

217.819

4

2.63208

306.056

5

3.26175

379.273

6

3.77961

439.49

7

4.16404

484.191

8

4.39858

511.463

9

4.03964

469.725

10

2.86649

333.313

11

2.52694

293.83

12

1.34112

155.945

13

0.493274

57.3574

14

0.212339

24.6906

15

0.966579

112.393

16

1.69662

197.282

17

1.50418

174.904

18

1.9144

222.604

19

2.33054

270.993

20

2.76334

321.319

21

2.79307

324.776

22

2.61002

303.491

23

2.45262

285.189

24

1.78566

207.635

25

1.59591

185.571

26

1.40468

163.335

27

0.956847

111.261

28

0.567008

65.9312

29

0.686113

79.7806

30

0.601741

69.9699

31

0.299153

34.7852

32

0.102744

11.9469

33

0.785678

91.3579

34

1.32406

153.96

35

1.94214

225.831

36

2.38964

277.865

37

2.7658

321.604

38

2.74123

318.747

39

2.64152

307.154

40

2.4089

280.105

41

1.99255

231.691

42

1.47886

171.96

43

0.788391

91.6734

44

0.238556

27.739

45

0.106435

12.3761

46

0.0466577

5.42531

47

0.503238

58.516

48

1.138

132.326

49

1.65392

192.316

50

1.83984

213.935

51

2.09169

243.219

52

2.41797

281.159

53

2.39791

278.827

54

2.39515

278.506

55

2.04329

237.592

56

1.97877

230.089

57

1.67636

194.926

58

1.35475

157.529

59

0.893908

103.943

60

1.17712

136.875

61

1.01595

118.134

62

0.786622

91.4676

63

0.393685

45.7773

64

0.29829

34.6849

65

0.903298

105.035

66

1.55473

180.782

67

2.04089

237.313

68

2.49945

290.633

69

2.81257

327.043

70

2.78147

323.426

71

2.17073

252.41

72

1.74837

203.298

73

1.16456

135.414

74

0.467356

54.3437

75

0.0706267

8.21241

76

0.826719

96.1301

77

1.02151

118.781

78

0.719891

83.7083

79

0.00257283

0.299167

80

1.00341

116.676

81

1.65003

191.864

82

1.93903

225.469

83

2.13388

248.126

84

2.0686

240.535

85

2.10178

244.393

86

2.0787

241.709

87

1.85193

215.341

88

1.93162

224.607

89

1.49405

173.726

90

0.936499

108.895

91

0.27486

31.9604

92

0.640453

74.4713

93

0.393337

45.7368

94

0.549866

63.9379

95

0.72328

84.1023

96

1.26033

146.551

97

1.81399

210.929

98

2.38444

277.261

99

2.62804

305.586

100

2.8548

331.954

101

2.86083

332.654

102

2.23261

259.606

103

1.64712

191.526

104

1.01047

117.496

105

0.714061

83.0304

106

0.162264

18.8679

107

0.0628533

7.30853

108

1.92765

224.145

109

2.87662

334.491

110

2.21712

257.805

111

1.11815

130.017

112

0.0284462

3.3077

113

0.960303

111.663

114

1.7196

199.953

115

2.13517

248.275

116

2.43045

282.611

117

2.229

259.186

118

2.07126

240.844

119

1.94332

225.967

120

1.06096

123.368

121

1.1175

129.942

122

1.43392

166.735

123

1.33998

155.811

124

0.692857

80.5648

125

0.00603151

0.701339

126

0.591529

68.7825

127

1.31366

152.751

128

1.98269

230.545

129

2.07475

241.25

130

2.49687

290.334

131

2.94761

342.745

132

3.21761

374.141

133

3.32111

386.176

134

2.97749

346.22

135

2.65134

308.295

136

2.25397

262.09

137

1.70648

198.428

138

0.982775

114.276

139

1.14815

133.506

140

1.28395

149.296

141

1.12754

131.109

142

0.940914

109.409

143

0.00667924

0.776655

144

0.842651

97.9827

145

1.56113

181.527

146

2.11571

246.012

147

2.42123

281.538

148

2.52873

294.038

149

1.8475

214.826

150

1.57105

182.681

151

1.47366

171.355

152

3.41815

397.46

153

3.73495

434.297

154

3.48403

405.12

155

3.04153

353.667

156

2.40166

279.263

157

1.56498

181.975

158

0.839833

97.655

159

0.14748

17.1488

160

0.503476

58.5438

161

1.27909

148.732

162

1.65598

192.556

163

2.19866

255.658

164

2.04968

238.335

165

2.13544

248.307

166

2.22268

258.452

167

2.04516

237.809

168

1.65025

191.889

169

1.00919

117.348

170

1.14236

132.833

171

1.08726

126.426

172

0.75512

87.8047

173

0.0666664

7.7519

174

0.677125

78.7354

175

1.3691

159.198

176

2.04562

237.862

177

2.7417

318.802

178

3.28005

381.401

179

3.18635

370.505

180

2.86007

332.566

181

2.1036

244.605

182

1.46563

170.423

183

1.0726

124.721

184

1.58156

183.902

185

3.09732

360.154

186

4.26252

495.642

187

4.59477

534.275

188

4.4419

516.5

189

3.94105

458.261

190

3.05978

355.788

191

1.94058

225.649

192

1.115

129.651

193

0.462232

53.7479

194

0.186768

21.7172

195

0.834729

97.0615

196

0.626836

72.8879

197

0.666676

77.5204

198

0.726287

84.452

199

1.15186

133.937

200

0.828718

96.3625

201

0.471775

54.8576

202

0.286418

33.3045

203

0.292506

34.0123

204

0.523827

60.9101

205

1.39315

161.994

206

2.194

255.117

207

2.9551

343.616

208

3.14356

365.53

209

3.26931

380.153

210

3.02538

351.789

211

3.06499

356.394

212

2.92481

340.095

213

3.06138

355.974

214

2.86005

332.564

215

2.19422

255.142

216

1.59847

185.869

217

3.78357

439.95

218

3.71946

432.495

219

3.52955

410.413

220

2.57283

299.167

221

1.77214

206.062

222

1.4034

163.186

223

1.13665

132.169

224

0.81305

94.5407

225

0.31256

36.3441

226

0.158222

18.3979

227

0.131346

15.2728

228

0.398027

46.2823

229

0.494875

57.5437

230

0.589983

68.6027

231

1.08007

125.589

232

1.6377

190.431

233

1.16726

135.728

234

0.531758

61.8323

235

0.00358725

0.417122

236

0.166905

19.4075

237

0.461364

53.6469

238

0.738588

85.8823

239

1.54344

179.47

240

2.3412

272.232

241

2.90542

337.84

242

3.58001

416.28

243

2.94273

342.178

244

2.87302

334.072

245

2.75066

319.844

246

2.35757

274.136

247

1.70472

198.224

248

1.72458

200.532

249

1.93197

224.648

250

1.28869

149.848

251

0.583455

67.8436

252

0.43583

50.6779

253

0.0572146

6.65286

254

0.229168

26.6475

255

0.18898

21.9744

256

0.718275

83.5204

257

1.07453

124.946

258

1.17357

136.461

259

1.2014

139.697

260

1.09584

127.423

261

0.936865

108.938

262

1.46648

170.521

263

1.79344

208.539

264

1.6009

186.151

265

1.83789

213.708

266

1.38363

160.887

267

0.336411

39.1175

268

0.768059

89.3092

269

1.91163

222.282

270

3.03333

352.713

271

4.03169

468.801

272

3.77116

438.507

273

1.55643

180.981

274

0.555085

64.5448

275

0.740848

86.1451

276

0.843148

98.0405

277

1.7685

205.639

278

1.96733

228.759

279

2.36985

275.564

280

2.40151

279.245

281

2.96943

345.283

282

2.95342

343.421

283

2.71126

315.263

284

1.56518

181.998

285

0.0942962

10.9647

286

0.776893

90.3364

287

0.343853

39.983

288

0.549052

63.8433

289

0.484616

56.3507

290

0.074595

8.67383

291

0.379342

44.1095

292

0.5219

60.6861

293

1.23915

144.087

294

1.85067

215.194

295

1.8169

211.267

296

1.90748

221.8

297

1.68824

196.307

298

1.12175

130.436

299

0.127535

14.8297

300

1.3099

152.314

301

2.28124

265.26

302

2.76932

322.013

303

2.98219

346.766

304

2.7875

324.128

305

2.79687

325.217

306

3.32806

386.983

307

3.49676

406.6

308

2.25655

262.39

309

3.16225

367.704

310

3.50105

407.099

311

3.25527

378.52

312

2.63312

306.176

313

2.06719

240.371

314

1.82315

211.994

315

1.73772

202.06

316

1.60649

186.801

317

1.35476

157.53

318

1.12198

130.463

319

0.999898

116.267

320

0.68411

79.5477

321

0.685026

79.6542

322

0.33457

38.9035

323

0.309483

35.9863

324

0.76712

89.2

325

0.39599

46.0453

326

0.512884

59.6377

327

1.70826

198.635

328

1.29026

150.031

329

0.861166

100.136

330

0.686147

79.7846

331

0.0813841

9.46327

332

0.553212

64.327

333

1.59794

185.807

334

1.96361

228.327

335

1.56198

181.626

336

1.61033

187.248

337

1.08252

125.875

338

1.38653

161.224

339

1.68872

196.362

340

1.59895

185.924

341

1.30047

151.217

342

1.37619

160.022

343

1.81188

210.684

344

1.95188

226.962

345

1.57977

183.695

346

1.00361

116.699

347

0.447416

52.0252

348

0.210528

24.48

349

0.183842

21.377

350

0.508351

59.1106

351

0.795976

92.5553

352

1.09863

127.748

353

1.30319

151.533

354

1.13246

131.681

355

1.1419

132.779

356

1.24753

145.061

357

0.812388

94.4637

358

1.20076

139.623

359

2.18331

253.874

360

3.45124

401.307

361

2.62309

305.01

362

2.12766

247.402

363

1.45127

168.752

364

0.253671

29.4966

365

0.0977492

11.3662

366

0.531611

61.8153

367

0.470475

54.7064

368

1.03006

119.774

369

0.498655

57.9832

370

0.767645

89.2611

371

1.22655

142.622

372

1.40446

163.309

373

1.7059

198.361

374

1.72155

200.18

375

0.789973

91.8574

376

1.63387

189.985

377

1.87126

217.588

378

2.02455

235.413

379

1.75166

203.681

380

0.623177

72.4624

381

0.632357

73.5298

382

0.780391

90.7432

383

0.625636

72.7483

384

0.195762

22.763

385

0.0298181

3.46722

386

0.0348244

4.04935

387

0.473182

55.0211

388

0.860164

100.019

389

0.260024

30.2354

390

0.0898209

10.4443

391

0.968658

112.635

392

0.485629

56.4685

393

0.971458

112.96

394

1.17199

136.278

395

0.656403

76.3259

396

0.248722

28.9211

397

0.466916

54.2926

398

0.26566

30.8907

399

0.193769

22.5313

400

0.410921

47.7815

401

0.326324

37.9447

402

0.322256

37.4716

403

1.09295

127.087

404

1.91253

222.387

405

1.45718

169.44

406

0.922208

107.233

407

1.8557

215.779

408

1.30756

152.041

409

0.271781

31.6025

410

0.393698

45.7788

411

0.850813

98.9318

412

0.992179

115.37

413

0.423488

49.2428

414

0.604663

70.3097

415

0.289006

33.6053

416

0.178924

20.8051

417

0.162547

18.9008

418

0.550076

63.9623

419

0.274117

31.8741

420

1.05695

122.901

421

1.35977

158.113

422

0.949667

110.426

423

0.205736

23.9228

424

0.204478

23.7765

425

0.0766488

8.91266

426

0.686555

79.8319

427

0.30623

35.6081

428

0.298488

34.7079

429

0.241539

28.086

430

0.0566187

6.58357

431

0.527889

61.3825

432

0.0288067

3.34961

433

0.281459

32.7278

434

0.158111

18.385

435

0.0546374

6.35319

436

0.937665

109.031

437

0.966373

112.369

438

0.341372

39.6944

439

0.610873

71.0317

440

0.988518

114.944

441

0.647148

75.2497

442

0.405734

47.1783

443

0.519685

60.4284

444

0.418914

48.7109

445

0.396286

46.0797

446

0.00308323

0.358515

447

0.262848

30.5638

448

0.213696

24.8484

449

0.405188

47.1149

450

0.49145

57.1453

451

0.437365

50.8564

452

1.3409

155.919

453

1.14557

133.206

454

0.78845

91.6802

455

1.47084

171.028

456

1.40959

163.905

457

1.24811

145.13

458

1.67342

194.583

459

0.816628

94.9567

460

0.530001

61.628

461

0.280394

32.6039

462

0.167463

19.4725

463

0.362051

42.099

464

0.464777

54.0438

465

0.427793

49.7434

466

0.773463

89.9376

467

1.42507

165.706

468

0.883674

102.753

469

1.46689

170.568

470

1.77339

206.209

471

1.09873

127.759

472

1.29575

150.669

473

1.05758

122.974

474

0.592804

68.9306

475

0.194791

22.6501

476

0.197945

23.0168

477

0.108949

12.6685

478

0.180398

20.9765

479

0.351336

40.853

480

0.438135

50.9459

481

0.135477

15.7531

482

0.0542819

6.31185

483

0.0539057

6.26811

484

0.131562

15.2979

485

0.590287

68.638

486

0.527005

61.2797

487

0.0275746

3.20635

488

0.171779

19.9743

489

0.183611

21.3501

490

0.844284

98.1726

491

0.480012

55.8153

492

0.491756

57.181

493

0.985629

114.608

494

0.773772

89.9735

495

0.666076

77.4507

496

0.612661

71.2396

497

0.48358

56.2303

498

0.891445

103.656

499

0.50648

58.893

500

0.0469542

5.45979


1.35797263

157.903787

 

I am not sure why only some of the SEP peaks were reported on in the Results. Were these the ones with clear hypotheses, or only the ones with significant findings?

These were the only ones with significant findings. We have added this statement to the results (SEP peaks section) in order to clarify.

In general, the results could be presented clearer. For each outcome measure, the main and interaction effects should be reported clearly. Actual P values should be presented instead of P<0.05. Were latency data analysed or reported?

We have added the actual p values for the SEPs data except for the P25 SEP peak (post application as the SPSS significance was 0.000 thus we have left the p<0.001). In terms of the accuracy and NPRS data SPSS reported the significance as 0.000 and thus we have left the p<0.001. There was no significant difference for any of the latency data. This statement has been added to the results section.

I found the Discussion difficult to follow in places. The rationale for several of the points made needs further explaining as they do not appear to be supported by the data. See comments below for examples.

 We have reviewed and altered the manuscript based on this feedback.

Specific comments

Page 1, line 32. There is a full stop missing at the end of the sentence.

This has been corrected.

Page 1, line 34. It would be useful to explain what capsaicin does for those who are not familiar with acute pain research.

This has been added in.

Page 4, lines 159-163. Why were two separate ANOVAs completed for the pain data, and not one ANOVA with multiple time periods?

Our main research question was the interactive effect of pain and motor learning on SEP amplitudes. To explore the interactive effect of pain and motor learning acquisition on SEP peak amplitudes a repeated measures ANOVA with factors TIME (baseline versus post-motor learning acquisition) and GROUP (local, remote, contralateral) was performed. In order to ensure that these effects were due to the interaction of pain and motor learning acquisition, and not just due to capsaicin application on its own, a separate repeated measures ANOVA with factors TIME (baseline versus post-application) and GROUP (local, remote, contralateral) was performed on each SEP peak. This approach was recommended by an external reviewer for our previous publication (Dancey et al. 2016)

The post-hoc test/s undertaken should be named in the Methods.

We performed separate one way repeated measures ANOVAs.  We have updated the manuscript with this information.

Page 9, lines 282-293. It would be beneficial to describe what area 3b represents for those who are not familiar with brain anatomy.

Some background information regarding area 3 b has been added in to this section.

In this paragraph, it is not clear where the reference to the cerebellum comes from. Why are they cerebellar-induced SEP changes?

Cerebellar-induced SEP changes originate within the 3b area of the primary somatosensory area (SI) [36] as the P25 SEP peak was decreased following capsaicin application and P25 reflects activity in area 3b it follows that the alteration in P25 may be due to cerebellar induced changes.

The following sentences suggest that activation of the cerebellum in response to nociceptive stimuli supports the role of the cerebellum in comparing error signals. I do not see the link between these two functions. Further down, a top-down model of attention is proposed. Yet, I do not see why it cannot be described as a bottom-up model, where the peripheral stimulus captures the attention. This needs to be explained better.

We have removed the statement top down as this could be described as a bottom up model, where the peripheral stimulus captures the attention.

Page 9, line 297. I do not follow how a lack of change in N20 and N24 corroborates previous research showing these peaks significantly changed amplitude following motor learning.

Our previous work found the amplitude of the N20 SEP peak increased significantly and the N24 SEP peak decreased significantly following the acquisition of a pain-free motor tracing task. We have added the term pain-free in order to clarify. We did not observe alterations in the current study (capsaicin pain groups). Therefore, the results are in line with our previous work.  We have changed the language used to clarify this point.

Page 9, line 301. Given the lack of a no-capsaicin control group, how do the authors know that sensorimotor integration areas referred to in this sentence are not implicated in motor skill acquisition without the presence of pain?

Our previous work (Dancey, 2016) utilizing the same tracing task and a control group found that following motor learning acquisition, there were differences in the  amplitude of the N20 SEP peak  (p<0.05) and the N24 SEP peak  (p<0.001) for the control group while the N18 SEP peak was altered (p<0.01) for the capsaicin group. The N30 SEP peak was significantly increased (p<0.001) following motor learning acquisition for both groups.

In the current study there were alterations of peaks (N18 and N30) for motor skill acquisition while in pain.  We do not mean to imply that these peaks would not necessarily be altered following pain-free motor learning. We have updated the manuscript to make this clear.

Page 9, lines 305-306. How does the data support a role of the cerebellum in motor learning when there was a change in the N18 peak in only one group, yet they all learnt to the same extent?

This is because the lack of change in the N18 peak in the local and contralateral groups may be due to a limitation in our study design. A technical limitation of this study concerns our setup of the N18 SEP peak. It is best recorded ipsilateral to the stimulated nerve with scalp electrodes and a non-cephalic reference electrode [56]. Recording N18 from the contralateral scalp recording electrode with a cephalic reference electrode as done in the current study is likely to cancel some of this signal, and therefore alterations or lack of changes (local and contralateral N18 SEP peak following motor learning) may have been due to the setup adopted. We have moved this section up to lines 305-306 so that this is clear.

Page 9, lines 307-308. What are the cortical projections to the pons that pertain to acute pain?

Projections to the pons that pertain to pain arise from the somatosensory cortical areas as well as regions of the prefrontal cortex. This has been added to the manuscript in order to clarify.

Page 10, lines 314-315. I am not sure what this final sentence means. It requires further explanation.

We have revised this section of the manuscript.

Page 10, lines 341-344. I do not following the rationale for suggesting that a motor learning coping strategy could be a useful treatment for chronic pain. The motor learning task did not appear to reduce pain.

The participants had improved motor learning acquisition and retention despite acute pain. As motor impairments are associated with chronic pain a motor learning coping strategy may be a useful treatment for chronic pain.  This section has been revised in order to clarify.

Page 10, line 352. It is not possible to see “improved” motor learning during pain in the current study as all groups had pain.

All three groups had improved motor learning compared to baseline measures.  The phrase “as compared to baseline measures” has been added to this section of the manuscript in order to clarify.

Page 11, lines 372-373. I am not sure how the study demonstrates that sensorimotor integration areas are vital for motor learning during pain. This requires further explanation.

We have changed the wording of this section from “vital” to “activated when” to clarify.

Figure 1. Abbreviations need to be defined in the figure legend.

Abbreviations are defined.

Figure 4. There is a spelling mistake in the Y axis caption

This has been corrected.


Author Response File: Author Response.docx

Round 2

Reviewer 2 Report

The authors need to demonstrate their knowledge of motor performance versus motor learning. Motor learning relates to the acquisition of a motor skill – it is a change in motor performance over time that is retained. The study showed improved motor performance compared to baseline. To determine if there was improved motor learning with pain would require a retention test and comparison to a group who trained without pain. This study did not do that.

 

I still do not understand the relevance of capsaicin cream. I can see why an acute pain model is used, but in most acute pain settings, movement enhances pain. I am not sure why the authors think it is impossible to determine if motor learning has been impacted. Even if the motor strategy has changed, the final output (dependent variable) is the movement error, not the strategy used to achieve it. This needs to be explained and justified better.

 

The justification of sample size should be in the manuscript. However, it is still not clear where an effect size of 0.5 was obtained from.

 

Providing 12 pages of numbers is not helpful in showing how motor error was determined. I was after a figure including the data clearly showing how error was measured/determined. Figure 2 is also not very useful and requires some labels and explanations.

 

I still do not follow why two ANOVAs were used instead of one. Stipulating that another reviewer requested it in another paper is not a statistical justification. I also do not understand the use of a one-way RM ANOVA for the post-hoc tests. For the ANOVAs that are described, there are only two time periods. The interaction effect also requires comparison between groups.

 

Findings from the current study cannot support findings from a previous study if different methods were used and different results were found.

 

I still do not follow how a “motor learning coping strategy” could be beneficial for people with chronic pain. This needs to be explained better.


Author Response

The authors need to demonstrate their knowledge of motor performance versus motor learning. Motor learning relates to the acquisition of a motor skill – it is a change in motor performance over time that is retained. The study showed improved motor performance compared to baseline. To determine if there was improved motor learning with pain would require a retention test and comparison to a group who trained without pain. This study did not do that.

We want to thank the reviewer for their helpful comments which have helped to clarify the intent of the manuscript. We did perform a retention test which was mentioned in the abstract, methods (section 2.5) and results. Participants performed a motor tracing acquisition task followed by a pain-free retention task 24-48 hours later while accuracy data was recorded.

The goal of this study was to extend our previous work which utilized the same task and included a pain-free control group. The original work showed that motor learning (as measured at retention) was better for the capsaicin group. This study sought to determine if location (local, remote, contralateral) led to differential effects on motor learning to further elucidate the potential mechanisms by which capsaicin may have led to enhanced learning. Similar to our previous work we found improved motor learning compared to baseline measures for all three groups (after acquisition and at retention). Because we were replicating the methodology of our previous study we did not perform the retention test in the presence of capsaicin. Nonetheless we see the reviewer’s point and we have included this as a limitation in the discussion section.

I still do not understand the relevance of capsaicin cream. I can see why an acute pain model is used, but in most acute pain settings, movement enhances pain. I am not sure why the authors think it is impossible to determine if motor learning has been impacted. Even if the motor strategy has changed, the final output (dependent variable) is the movement error, not the strategy used to achieve it. This needs to be explained and justified better.

 

The goal is to eventually study a chronic pain population. However, individuals with chronic pain are more likely to have delays in information processing [73], other sensorimotor deficits [73, 74], are often medicated [75], and often suffer from depression and anxiety [76] all of which may impact motor learning and may confound the results. Studying a healthy population and using an acute pain stimulus is an important first step prior to undergoing a study with a chronic pain population. We have also added in that the use of an acute pain model is an important first step prior to the study of a chronic pain population.

 

We have also expanded on our critique of the study by Boudreau  [2], described in the introduction section, which demonstrated that motor cortex (MI) neuroplasticity occurred with efficacious performance in novel tongue-task learning, but that capsaicin (used to induce acute cutaneous tonic pain) had a negative impact on motor performance. While motor learning acquisition occurred for both groups, the participants in the capsaicin group did not learn the task as well as the control group [2]. We have added in that “a limitation of their conclusion was that the capsaicin applied locally over the area performing the task caused the movement to be altered so that it was no longer the same motor task, making it impossible to accurately compare motor performance between the pain and pain-free conditions”.

 

We understand your point about motor error, but if participants are no longer performing comparable tasks the error percentage is no longer comparing “apples with apples”. Therefore prior to focusing on possible motor strategy differences, we first needed to determine if attention or arousal mechanisms explained the improvements in motor performance in the presence of capsaicin that we observed in our previous work. We have added a suggestion in the limitations section that future work should use kinematic measures to determine possible differences in motor strategy with pain in different locations.

 

The justification of sample size should be in the manuscript. However, it is still not clear where an effect size of 0.5 was obtained from.

 We have included our  justification of sample size to the manuscript. Previous related work has used 10-14 participants. However, we wanted to minimize the possibility of a type 2 error due to low subject numbers, so we performed a power calculation at the onset to ensure we had enough participants and thus set the power high (0.95). Because our conditions were so similar except for pain location, we intentionally selected a medium, rather than a large, effect size to ensure that we had adequate statistical power to detect moderate differences between groups. 


Providing 12 pages of numbers is not helpful in showing how motor error was determined. I was after a figure including the data clearly showing how error was measured/determined. Figure 2 is also not very useful and requires some labels and explanations.

 We apologize for misunderstanding what you were asking. We have included an additional photograph of a participant performing the task to clarify. We have also added additional information to the methods section to clarify how error was determined, and added information to the legend of figure 2 in order to clarify how motor error was determined.

I still do not follow why two ANOVAs were used instead of one. Stipulating that another reviewer requested it in another paper is not a statistical justification. I also do not understand the use of a one-way RM ANOVA for the post-hoc tests. For the ANOVAs that are described, there are only two time periods. The interaction effect also requires comparison between groups.

Our main research question was the interactive effect of pain and motor learning on SEP amplitudes. To explore the interactive effect of pain and motor learning acquisition on SEP peak amplitudes a repeated measures ANOVA with factors TIME (baseline versus post-motor learning acquisition) and GROUP (local, remote, contralateral) was performed.  This was our main research question and the original ANOVA we performed. In order to ensure that these effects were due to the interaction of pain and motor learning acquisition, and not just due to capsaicin application on its own, a separate repeated measures ANOVA with factors TIME (baseline versus post-application) and GROUP (local, remote, contralateral) was performed on each SEP peak. We have reorganized this section in order to clarify. For the SEP peaks we performed post hoc t tests and post hoc Tukey’s if there was an interaction effect. We have corrected this section. 

Findings from the current study cannot support findings from a previous study if different methods were used and different results were found.

 We have removed this statement.

I still do not follow how a “motor learning coping strategy” could be beneficial for people with chronic pain. This needs to be explained better.

 We have re-worded this section.


Author Response File: Author Response.docx

Back to TopTop