Effects of continuous theta-burst stimulation of the primary motor and secondary somatosensory areas on the central processing and the perception of trigeminal nociceptive input in healthy volunteers

Abstract Noninvasive modulation of the activity of pain-related brain regions by means of transcranial magnetic stimulation promises an innovative approach at analgesic treatments. However, heterogeneous successes in pain modulation by setting reversible “virtual lesions” at different brain areas point at unresolved problems including the optimum stimulation site. The secondary somatosensory cortex (S2) has been previously identified to be involved in the perception of pain-intensity differences. Therefore, impeding its activity should impede the coding of the sensory component of pain intensity, resulting in a flattening of the relationship between pain intensity and physical stimulus strength. This was assessed using inactivating spaced continuous theta-burst stimulation (cTBS) in 18 healthy volunteers. In addition, cTBS was applied on the primary motor cortex (M1) shown previously to yield moderate and variable analgesic effects, whereas sham stimulation at both sites served as placebo condition. Continuous theta-burst stimulation flattened the relationship between brain activation and stimulus strength, mainly at S2, the insular cortex, and the postcentral gyrus (16 subjects analyzed). However, these effects were observed after inactivation of M1 while this effect was not observed after inactivation of S2. Nevertheless, both the M1 and the S2-spaced cTBS treatment were not reflected in the ratings of the nociceptive stimuli of different strengths (17 subjects analyzed), contrasting with the clear coding of stimulus strength by these data. Hence, while modulating the central processing of nociceptive input, cTBS failed to produce subjectively relevant changes in pain perception, indicating that the method in the present implementation is still unsuitable for clinical application.

[1]  Martyn Goulding,et al.  Corticospinal Circuits from the Sensory and Motor Cortices Differentially Regulate Skilled Movements through Distinct Spinal Interneurons. , 2018, Cell reports.

[2]  B. Wand,et al.  Non‐invasive brain stimulation techniques for chronic pain , 2018, The Cochrane database of systematic reviews.

[3]  Alfred Ultsch,et al.  Machine learning in pain research , 2017, Pain.

[4]  V. Marchand-Pauvert,et al.  Corticospinal control from M1 and PMv areas on inhibitory cervical propriospinal neurons in humans , 2017, Physiological reports.

[5]  U. Ziemann,et al.  A Data-Driven Approach to Responder Subgroup Identification after Paired Continuous Theta Burst Stimulation , 2017, Front. Hum. Neurosci..

[6]  Hadley Wickham,et al.  ggplot2 - Elegant Graphics for Data Analysis (2nd Edition) , 2017 .

[7]  V. Tronnier,et al.  EAN guidelines on central neurostimulation therapy in chronic pain conditions , 2016, European journal of neurology.

[8]  J. Lefaucheur,et al.  Analgesic effects of navigated motor cortex rTMS in patients with chronic neuropathic pain , 2016, European journal of pain.

[9]  T. Lelekov-Boissard,et al.  Not an Aspirin: No Evidence for Acute Anti-Nociception to Laser-Evoked Pain After Motor Cortex rTMS in Healthy Humans , 2016, Brain Stimulation.

[10]  A. Curt,et al.  Association of pain and CNS structural changes after spinal cord injury , 2016, Scientific Reports.

[11]  Jörn Lötsch,et al.  Identification of Molecular Fingerprints in Human Heat Pain Thresholds by Use of an Interactive Mixture Model R Toolbox (AdaptGauss) , 2015, International journal of molecular sciences.

[12]  Chenyue W. Hu,et al.  Progeny Clustering: A Method to Identify Biological Phenotypes , 2015, Scientific Reports.

[13]  Ulf Ziemann,et al.  Resistant Against De-depression: LTD-Like Plasticity in the Human Motor Cortex Induced by Spaced cTBS. , 2015, Cerebral cortex.

[14]  U. Pesonen,et al.  Right secondary somatosensory cortex—a promising novel target for the treatment of drug-resistant neuropathic orofacial pain with repetitive transcranial magnetic stimulation , 2015, Pain.

[15]  Dennis J. L. G. Schutter,et al.  Efficacy and Time Course of Theta Burst Stimulation in Healthy Humans , 2015, Brain Stimulation.

[16]  S. Manita,et al.  A Top-Down Cortical Circuit for Accurate Sensory Perception , 2015, Neuron.

[17]  A. Ultsch,et al.  Multimodal Distribution of Human Cold Pain Thresholds , 2015, PloS one.

[18]  D. Bouhassira,et al.  Prolonged Continuous Theta-burst Stimulation is More Analgesic Than ‘Classical’ High Frequency Repetitive Transcranial Magnetic Stimulation , 2015, Brain Stimulation.

[19]  A. Ultsch,et al.  Human models of pain for the prediction of clinical analgesia , 2014, PAIN®.

[20]  Paul Sacco,et al.  Repetitive transcranial magnetic stimulation over primary motor vs non-motor cortical targets; effects on experimental hyperalgesia in healthy subjects , 2014, BMC Neurology.

[21]  F. Mauguière,et al.  Cortical representation of pain in primary sensory‐motor areas (S1/M1)—a study using intracortical recordings in humans , 2013, Human brain mapping.

[22]  P. Haggard,et al.  Transcranial magnetic stimulation over human secondary somatosensory cortex disrupts perception of pain intensity , 2013, Cortex.

[23]  Y. Saitoh,et al.  Daily repetitive transcranial magnetic stimulation of primary motor cortex for neuropathic pain: A randomized, multicenter, double-blind, crossover, sham-controlled trial , 2013, PAIN®.

[24]  D. Aldington,et al.  Amitriptyline for neuropathic pain and fibromyalgia in adults. , 2013, The Cochrane database of systematic reviews.

[25]  Jörn Lötsch,et al.  Clinical pharmacology of analgesics assessed with human experimental pain models: bridging basic and clinical research , 2013, British journal of pharmacology.

[26]  Joachim M. Buhmann,et al.  Decoding the perception of pain from fMRI using multivariate pattern analysis , 2012, NeuroImage.

[27]  J. Borckardt,et al.  Noninvasive cortical modulation of experimental pain , 2012, PAIN.

[28]  U. Ziemann,et al.  A practical guide to diagnostic transcranial magnetic stimulation: Report of an IFCN committee , 2012, Clinical Neurophysiology.

[29]  Jörn Lötsch,et al.  Separating brain processing of pain fromthat of stimulus intensity , 2012, Human brain mapping.

[30]  R. Moore,et al.  MILNACIPRAN FOR NEUROPATHIC PAIN AND FIBROMYALGIA IN ADULTS , 2012, The Cochrane database of systematic reviews.

[31]  J. Lötsch,et al.  Pharmacogenetics of new analgesics , 2011, British journal of pharmacology.

[32]  Joachim M. Buhmann,et al.  The Balanced Accuracy and Its Posterior Distribution , 2010, 2010 20th International Conference on Pattern Recognition.

[33]  Ulf Ziemann,et al.  TMS in cognitive neuroscience: Virtual lesion and beyond , 2010, Cortex.

[34]  S. Spencer,et al.  Non-invasive brain stimulation techniques for chronic pain. , 2010, The Cochrane database of systematic reviews.

[35]  M. Nitsche,et al.  Electrophysiological correlates of reduced pain perception after theta-burst stimulation , 2009, Neuroreport.

[36]  P. Wiffen,et al.  Pregabalin for acute and chronic pain in adults. , 2009, The Cochrane database of systematic reviews.

[37]  Patrick Maison,et al.  Motor cortex stimulation for the treatment of refractory peripheral neuropathic pain. , 2009, Brain : a journal of neurology.

[38]  Karl Pearson F.R.S. X. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling , 2009 .

[39]  R. Parkkola,et al.  Modulation of facial sensitivity by navigated rTMS in healthy subjects , 2009, Pain.

[40]  Jan Gläscher,et al.  Visualization of Group Inference Data in Functional Neuroimaging , 2009, Neuroinformatics.

[41]  Walter Paulus,et al.  The use of repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) to relieve pain , 2008, Brain Stimulation.

[42]  Neil G. Muggleton,et al.  New light through old windows: Moving beyond the “virtual lesion” approach to transcranial magnetic stimulation , 2008, NeuroImage.

[43]  A. Antal,et al.  Attenuation of N2 amplitude of laser-evoked potentials by theta burst stimulation of primary somatosensory cortex , 2007, Experimental Brain Research.

[44]  Thomas Hummel,et al.  Cerebral activation to intranasal chemosensory trigeminal stimulation. , 2007, Chemical senses.

[45]  Scott M. Williams,et al.  A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction , 2007, Genetic epidemiology.

[46]  Alvaro Pascual-Leone,et al.  Recent advances in the treatment of chronic pain with non-invasive brain stimulation techniques , 2007, The Lancet Neurology.

[47]  J. Lefaucheur,et al.  Somatotopic organization of the analgesic effects of motor cortex rTMS in neuropathic pain , 2006, Neurology.

[48]  B. Collett,et al.  Survey of chronic pain in Europe: Prevalence, impact on daily life, and treatment , 2006, European journal of pain.

[49]  Haruhiko Kishima,et al.  Reduction of intractable deafferentation pain by navigation-guided repetitive transcranial magnetic stimulation of the primary motor cortex , 2006, PAIN.

[50]  François Mauguière,et al.  Human SII and posterior insula differently encode thermal laser stimuli. , 2006, Cerebral cortex.

[51]  R. Treede,et al.  Human brain mechanisms of pain perception and regulation in health and disease , 2005, European journal of pain.

[52]  Simon B. Eickhoff,et al.  A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data , 2005, NeuroImage.

[53]  J. Rothwell,et al.  Theta Burst Stimulation of the Human Motor Cortex , 2005, Neuron.

[54]  Kurt Hornik,et al.  kernlab - An S4 Package for Kernel Methods in R , 2004 .

[55]  J. Mesirov,et al.  Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data , 2003, Machine Learning.

[56]  Christina Gloeckner,et al.  Modern Applied Statistics With S , 2003 .

[57]  Robin M Heidemann,et al.  Generalized autocalibrating partially parallel acquisitions (GRAPPA) , 2002, Magnetic resonance in medicine.

[58]  C Büchel,et al.  Painful stimuli evoke different stimulus-response functions in the amygdala, prefrontal, insula and somatosensory cortex: a single-trial fMRI study. , 2002, Brain : a journal of neurology.

[59]  Robert Turner,et al.  Image Distortion Correction in fMRI: A Quantitative Evaluation , 2002, NeuroImage.

[60]  A. Basbaum,et al.  Molecular mechanisms of nociception , 2001, Nature.

[61]  J. Lefaucheur,et al.  Interventional neurophysiology for pain control: duration of pain relief following repetitive transcranial magnetic stimulation of the motor cortex , 2001, Neurophysiologie Clinique/Clinical Neurophysiology.

[62]  Á. Pascual-Leone,et al.  Fast Backprojections from the Motion to the Primary Visual Area Necessary for Visual Awareness , 2001, Science.

[63]  Y. Chaubey Resampling Methods: A Practical Guide to Data Analysis , 2000, Technometrics.

[64]  Blair H. Smith,et al.  The epidemiology of chronic pain in the community , 1999, The Lancet.

[65]  Ronald Melzack,et al.  From the gate to the neuromatrix , 1999, Pain.

[66]  Karl J. Friston,et al.  Analysis of fMRI Time-Series Revisited—Again , 1995, NeuroImage.

[67]  Karl J. Friston,et al.  Analysis of fMRI Time-Series Revisited , 1995, NeuroImage.

[68]  J. Kaas,et al.  Thalamic connections of the primary motor cortex (M1) of owl monkeys , 1994, The Journal of comparative neurology.

[69]  T. Hummel,et al.  Chemo-somatosensory event-related potentials in response to repetitive painful chemical stimulation of the nasal mucosa. , 1994, Electroencephalography and clinical neurophysiology.

[70]  J. Bland,et al.  Statistics Notes: Diagnostic tests 2: predictive values , 1994 .

[71]  H Asanuma,et al.  Information processing within the motor cortex. II. Intracortical connections between neurons receiving somatosensory cortical input and motor output neurons of the cortex , 1994, The Journal of comparative neurology.

[72]  D. Altman,et al.  Statistics Notes: Diagnostic tests 1: sensitivity and specificity , 1994 .

[73]  J. Mugler,et al.  Rapid three‐dimensional T1‐weighted MR imaging with the MP‐RAGE sequence , 1991, Journal of magnetic resonance imaging : JMRI.

[74]  P. Rousseeuw Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .

[75]  G Kobal,et al.  Cortical responses to painful CO2 stimulation of nasal mucosa; a magnetoencephalographic study in man. , 1986, Electroencephalography and clinical neurophysiology.

[76]  Gerd Kobal,et al.  Pain-related electrical potentials of the human nasal mucosa elicited by chemical stimulation , 1985, Pain.

[77]  J. Swets The Relative Operating Characteristic in Psychology , 1973, Science.

[78]  S. C. Johnson Hierarchical clustering schemes , 1967, Psychometrika.

[79]  J. H. Ward Hierarchical Grouping to Optimize an Objective Function , 1963 .

[80]  Chenyue W. Hu,et al.  progenyClust: an R package for Progeny Clustering , 2016, R J..

[81]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[82]  Kevin P. Murphy Machine learning - a probabilistic perspective , 2012, Adaptive computation and machine learning series.

[83]  A. Antal,et al.  Effects of transcranial theta-burst stimulation on acute pain perception. , 2010, Restorative neurology and neuroscience.

[84]  Nadia Bolognini,et al.  The Oxford Handbook of Transcranial Stimulation , 2010 .

[85]  Guy N. Brock,et al.  clValid , an R package for cluster validation , 2008 .

[86]  Andy Liaw,et al.  Classification and Regression by randomForest , 2007 .

[87]  Alfred Ultsch,et al.  Pareto Density Estimation: A Density Estimation for Knowledge Discovery , 2005 .

[88]  Vladimir Vapnik,et al.  Support-vector networks , 2004, Machine Learning.

[89]  H. Möller,et al.  Repetitive Transcranial Magnetic Stimulation , 2003, CNS drugs.

[90]  T. Bayes An essay towards solving a problem in the doctrine of chances , 2003 .

[91]  L. Breiman Random Forests , 2001, Machine Learning.

[92]  S. F.R.,et al.  An Essay towards solving a Problem in the Doctrine of Chances . By the late Rev . Mr . Bayes , communicated by Mr . Price , in a letter to , 1999 .

[93]  Peter E. Hart,et al.  Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.

[94]  T. Bayes LII. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, F. R. S. communicated by Mr. Price, in a letter to John Canton, A. M. F. R. S , 1763, Philosophical Transactions of the Royal Society of London.

[95]  Karl J. Friston,et al.  Modelling Geometric Deformations in Epi Time Series , 2022 .