On the use of information theory for the analysis of synchronous nociceptive withdrawal reflexes and somatosensory evoked potentials elicited by graded electrical stimulation

•MI was used to quantify spinal and supraspinal activity in relation to sensory input.•MI is a model-free approach that is not constrained by parametric assumptions.•NWR features were in general more informative than SEP features.•The joint information carried by pairs of features showed an overall...

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Bibliographic Details
Published in:Journal of neuroscience methods 2015-01, Vol.240, p.1-12
Main Authors: Arguissain, Federico G., Biurrun Manresa, José A., Mørch, Carsten D., Andersen, Ole K.
Format: Article
Language:English
Subjects:
Brain - physiopathology
Computer Simulation
Electric Stimulation - methods
Electrical stimulation
Electroencephalography - methods
Electromyography - methods
Evoked Potentials, Somatosensory - physiology
Humans
Information Theory
Linear Models
Male
Models, Neurological
Monte Carlo Method
Muscle, Skeletal - physiopathology
Mutual information
Nociception - physiology
Nociceptive Pain - physiopathology
Nociceptive withdrawal reflex
Nonlinear Dynamics
Reflex - physiology
Signal Processing, Computer-Assisted
Somatosensory evoked potentials
Spinal Cord - physiopathology
Young Adult
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Summary:•MI was used to quantify spinal and supraspinal activity in relation to sensory input.•MI is a model-free approach that is not constrained by parametric assumptions.•NWR features were in general more informative than SEP features.•The joint information carried by pairs of features showed an overall redundancy. To date, few studies have combined the simultaneous acquisition of nociceptive withdrawal reflexes (NWR) and somatosensory evoked potentials (SEPs). In fact, it is unknown whether the combination of these two signals acquired simultaneously could provide additional information on somatosensory processing at spinal and supraspinal level compared to individual NWR and SEP signals. By using the concept of mutual information (MI), it is possible to quantify the relation between electrical stimuli and simultaneous elicited electrophysiological responses in humans based on the estimated stimulus-response signal probability distributions. All selected features from NWR and SEPs were informative in regard to the stimulus when considered individually. Specifically, the information carried by NWR features was significantly higher than the information contained in the SEP features (p
ISSN:0165-0270
1872-678X
DOI:10.1016/j.jneumeth.2014.10.011