Single-trial laser-evoked potentials feature extraction for prediction of pain perception

Pain is a highly subjective experience, and the availability of an objective assessment of pain perception would be of great importance for both basic and clinical applications. The objective of the present study is to develop a novel approach to extract pain-related features from single-trial laser-evoked potentials (LEPs) for classification of pain perception. The single-trial LEP feature extraction approach combines a spatial filtering using common spatial pattern (CSP) and a multiple linear regression (MLR). The CSP method is effective in separating laser-evoked EEG response from ongoing EEG activity, while MLR is capable of automatically estimating the amplitudes and latencies of N2 and P2 from single-trial LEP waveforms. The extracted single-trial LEP features are used in a Naïve Bayes classifier to classify different levels of pain perceived by the subjects. The experimental results show that the proposed single-trial LEP feature extraction approach can effectively extract pain-related LEP features for achieving high classification accuracy.

[1]  K.-R. Muller,et al.  Optimizing Spatial filters for Robust EEG Single-Trial Analysis , 2008, IEEE Signal Processing Magazine.

[2]  A. Ramelet,et al.  Pain indicators in brain-injured critical care adults: an integrative review. , 2012, Australian critical care : official journal of the Confederation of Australian Critical Care Nurses.

[3]  T. Sejnowski,et al.  Analysis and visualization of single‐trial event‐related potentials , 2001, Human brain mapping.

[4]  S Makeig,et al.  Blind separation of auditory event-related brain responses into independent components. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[5]  U. Baumgärtner,et al.  Clinical usefulness of laser-evoked potentials , 2003, Neurophysiologie Clinique/Clinical Neurophysiology.

[6]  M. Frot,et al.  Brain generators of laser-evoked potentials: from dipoles to functional significance , 2003, Neurophysiologie Clinique/Clinical Neurophysiology.

[7]  H Shibasaki,et al.  Pain-related somatosensory evoked potentials following CO2 laser stimulation in man. , 1988, Electroencephalography and clinical neurophysiology.

[8]  R. Meyer,et al.  Evidence for two different heat transduction mechanisms in nociceptive primary afferents innervating monkey skin. , 1995, The Journal of physiology.

[9]  V. Legrain,et al.  Attentional modulation of the nociceptive processing into the human brain: selective spatial attention, probability of stimulus occurrence, and target detection effects on laser evoked potentials , 2002, PAIN.

[10]  R. Treede,et al.  The Kyoto protocol of IASP Basic Pain Terminology , 2008, PAIN®.

[11]  Stephen D. Mayhew,et al.  Automated single-trial measurement of amplitude and latency of laser-evoked potentials (LEPs) using multiple linear regression , 2006, Clinical Neurophysiology.

[12]  Blair H. Smith,et al.  NeuPSIG guidelines on neuropathic pain assessment , 2011, PAIN®.

[13]  Aapo Hyvärinen,et al.  Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis , 2010, NeuroImage.

[14]  F. Mauguière,et al.  Association and dissociation between laser‐evoked potentials and pain perception , 1997, Neuroreport.

[15]  A. Mouraux,et al.  Gamma-Band Oscillations in the Primary Somatosensory Cortex—A Direct and Obligatory Correlate of Subjective Pain Intensity , 2012, The Journal of Neuroscience.

[16]  L. Zambreanu,et al.  Operculoinsular cortex encodes pain intensity at the earliest stages of cortical processing as indicated by amplitude of laser-evoked potentials in humans , 2005, Neuroscience.

[17]  T. Nurmikko,et al.  EFNS guidelines on the pharmacological treatment of neuropathic pain: 2010 revision , 2010, European journal of neurology.

[18]  A. Mouraux,et al.  Characterizing the Cortical Activity through Which Pain Emerges from Nociception , 2009, The Journal of Neuroscience.

[19]  R. Treede,et al.  Nerve fibre discharges, cerebral potentials and sensations induced by CO2 laser stimulation. , 1984, Human neurobiology.

[20]  M. Boly,et al.  Baseline brain activity fluctuations predict somatosensory perception in humans , 2007, Proceedings of the National Academy of Sciences.

[21]  R. Treede,et al.  Laser-evoked cerebral potentials in the assessment of cutaneous pain sensitivity in normal subjects and patients. , 1991, Revue neurologique.

[22]  Martijn P. F. Berger,et al.  The psychometric quality and clinical usefulness of three pain assessment tools for elderly people with dementia , 2006, Pain.

[23]  Arnaud Delorme,et al.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.

[24]  M. Honda,et al.  Pain-related somatosensory evoked potentials following CO2 laser stimulation of foot in man. , 1989, Electroencephalography and clinical neurophysiology.

[25]  G D Iannetti,et al.  Evidence of a specific spinal pathway for the sense of warmth in humans. , 2003, Journal of neurophysiology.