Electroencephalography (EEG)
Scalp electroencephalography (EEG) can be used to record ongoing oscillatory brain activity, stimulus-evoked brain potentials (event-related brain potentials, ERP). The recorded signals correspond to variations in scalp potentials, hypothesized to predominantly result from sudden and synchronized changes in postsynaptic activity, occurring in the apical dendrites of pyramidal neurons. Another approach is EEG "frequency tagging", in which a sensory stimulus is periodically repeated at a constant frequency, thereby eliciting a periodic change in the EEG signal which can be identified in the frequency domain.
Event-related potentials (ERPs)
To extract evoked potentials from the ongoing, non event-related, electrical brain activity, the event is usually repeated such as to allow the averaging of successive peristimulus EEG recordings. The principle underlying time-domain averaging techniques is that averaging successive EEG epochs should cancel out the contribution of signals which are not ‘time-locked’ or ‘stationary’ to the onset of the event while it should preserve evoked activity which is assumed to occur with a constant time-delay. The fraction of the signal which is cancelled-out by the averaging procedure is often referred to as ‘additive noise’.
Event-related potentials typically consist of a series of voltage polarity changes, observed as peaks and troughs in the average waveform. These potentials can be classified according to their relative timing to stimulus onset, their polarity, and their magnitude. In most cases, each individualized ERP deflection corresponds to neural activity arising from several temporally overlapping sources. As ERPs provide a high temporal resolution, they can be used to characterize the chronometry of the different neural processes involved in perception. Indeed, depending on their modality, sensory stimuli elicit a series of sensory or exogenous ERP peaks which reflect the initial processing occurring in modality-specific cortical areas. Following these peaks, later components may be recorded, which are thought to reflect more integrative and endogenous aspects of perception.
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Researchers involved
Publications
PLoS One
Transcutaneous auricular VNS applied to experimental pain: A paired behavioral and EEG study using thermonociceptive CO2 laser.
2021
Dumoulin M, Liberati G, Mouraux A, Santos SF, El Tahry R.
16(7):e0254480.
Frontiers in Human Neuroscience
Rating the Intensity of a Laser Stimulus, but Not Attending to Changes in Its Location or Intensity Modulates the Laser-Evoked Cortical Activity
2020
Torta DME, Ninghetto M, Ricci R, Legrain V.
14:120
Clinical Neurophysiology
Central sensitization of nociceptive pathways demonstrated by robot-controlled pinprick-evoked brain potentials
2020
van den Broeke EN, de Hemptinne P, Mercken M, Torta DM, Lambert J, Mouraux A.
131(10):2491-2498.
Journal of Neurophysiology
Early gamma-oscillations as correlate of localized nociceptive processing in primary sensorimotor cortex
2020
Heid C, Mouraux A, Treede RD, Schuh-Hofer S, Rupp A, Baumgärtner U.
123(5):1711-1726
Journal of Neurophysiology
Central sensitization increases the pupil dilation elicited by mechanical pinprick stimulation
2019
van den Broeke EN, Hartgerink DM, Butler J, Lambert J, Mouraux A.
121(5):1621-1632
Brain
The search for pain biomarkers in the human brain
2018
Mouraux A, Iannetti GD.
141(12):3290-3307
Journal of Neuroscience
Visuomotor correlates of conflict expectation in the context of motor decisions
2018
Derosiere G, Klein PA, Nozaradan S, Zénon A, Mouraux A, Duqué J.
38(44):9486-9504
PLoS One
High frequency electrical stimulation induces a long-lasting enhancement of event-related potentials but does not change the perception elicited by intra-epidermal electrical stimuli delivered to the area of increased mechanical pinprick sensitivity
2018
Manresa JB, Andersen OK, Mouraux A, van den Broeke EN.
13(9):e0203365
eNeuro
Characterising the short-term habituation of event-related evoked potentials
2018
Mancini F, Pepe A, Di Stefano G, Mouraux A, Iannetti GD.
5(5): ENEURO.0014-18.2018
ICONIP
Linear Periodic Discriminant Analysis
2018
Mulders D, de Boot C, Lejeune N, Mouraux A, Verleysen M.
accepted