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      Cortical activity evoked by an acute painful tissue-damaging stimulus in healthy adult volunteers

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          Abstract

          Everyday painful experiences are usually single events accompanied by tissue damage, and yet most experimental studies of cutaneous nociceptive processing in the brain use repeated laser, thermal, or electrical stimulations that do not damage the skin. In this study the nociceptive activity in the brain evoked by tissue-damaging skin lance was analyzed with electroencephalography (EEG) in 20 healthy adult volunteers (13 men and 7 women) aged 21–40 yr. Time-frequency analysis of the evoked activity revealed a distinct late event-related vertex potential (lance event-related potential, LERP) at 100–300 ms consisting of a phase-locked energy increase between 1 and 20 Hz (delta-beta bands). A pairwise comparison between lance and sham control stimulation also revealed a period of ultralate stronger desynchronization after lance in the delta band (1–5 Hz). Skin application of mustard oil before lancing, which sensitizes a subpopulation of nociceptors expressing the cation channel TRPA1, did not affect the ultralate desynchronization but reduced the phase-locked energy increase in delta and beta bands, suggesting a central interaction between different modalities of nociceptive inputs. Verbal descriptor screening of individual pain experience revealed that lance pain is predominantly due to Aδ fiber activation, but when individuals describe lances as C fiber mediated, an ultralate delta band event-related desynchronization occurs in the brain-evoked activity. We conclude that pain evoked by acute tissue damage is associated with distinct Aδ and C fiber-mediated patterns of synchronization and desynchronization of EEG oscillations in the brain.

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          Most cited references59

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

            We have developed a toolbox and graphic user interface, EEGLAB, running under the crossplatform MATLAB environment (The Mathworks, Inc.) for processing collections of single-trial and/or averaged EEG data of any number of channels. Available functions include EEG data, channel and event information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), independent component analysis (ICA) and time/frequency decompositions including channel and component cross-coherence supported by bootstrap statistical methods based on data resampling. EEGLAB functions are organized into three layers. Top-layer functions allow users to interact with the data through the graphic interface without needing to use MATLAB syntax. Menu options allow users to tune the behavior of EEGLAB to available memory. Middle-layer functions allow users to customize data processing using command history and interactive 'pop' functions. Experienced MATLAB users can use EEGLAB data structures and stand-alone signal processing functions to write custom and/or batch analysis scripts. Extensive function help and tutorial information are included. A 'plug-in' facility allows easy incorporation of new EEG modules into the main menu. EEGLAB is freely available (http://www.sccn.ucsd.edu/eeglab/) under the GNU public license for noncommercial use and open source development, together with sample data, user tutorial and extensive documentation.
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              Event-related EEG/MEG synchronization and desynchronization: basic principles.

              An internally or externally paced event results not only in the generation of an event-related potential (ERP) but also in a change in the ongoing EEG/MEG in form of an event-related desynchronization (ERD) or event-related synchronization (ERS). The ERP on the one side and the ERD/ERS on the other side are different responses of neuronal structures in the brain. While the former is phase-locked, the latter is not phase-locked to the event. The most important difference between both phenomena is that the ERD/ERS is highly frequency band-specific, whereby either the same or different locations on the scalp can display ERD and ERS simultaneously. Quantification of ERD/ERS in time and space is demonstrated on data from a number of movement experiments.
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                Author and article information

                Journal
                J Neurophysiol
                J. Neurophysiol
                jn
                jn
                JN
                Journal of Neurophysiology
                American Physiological Society (Bethesda, MD )
                0022-3077
                1522-1598
                1 May 2013
                20 February 2013
                20 February 2013
                : 109
                : 9
                : 2393-2403
                Affiliations
                [1] 1Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom;
                [2] 2Department of Statistical Science, University College London, London, United Kingdom; and
                [3] 3Elizabeth Garrett Anderson Obstetric Wing, University College Hospital, London, United Kingdom
                Author notes
                [*]

                L. Fabrizi and G. Williams contributed equally to this work; S. Olhede and M. Fitzgerald contributed equally to this work.

                Address for reprint requests and other correspondence: L. Fabrizi, Dept. of Neuroscience, Physiology and Pharmacology, University College London, Gower St., London WC1 E6BT, UK (e-mail: l.fabrizi@ 123456ucl.ac.uk ).
                Article
                JN-00990-2012
                10.1152/jn.00990.2012
                3652217
                23427303
                424176cb-d467-4ac6-b306-13724118af77
                Copyright © 2013 the American Physiological Society

                Licensed under Creative Commons Attribution CC-BY 3.0: the American Physiological Society.

                History
                : 13 November 2012
                : 18 February 2013
                Categories
                Articles

                Neurology
                pain,nociception,cortex,brain,event-related potential
                Neurology
                pain, nociception, cortex, brain, event-related potential

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