Different neuronal contribution to N20 somatosensory evoked potential and to CO2 laser evoked potentials: an intracerebral recording study

2004 ◽  
Vol 115 (1) ◽  
pp. 211-216 ◽  
Author(s):  
Massimiliano Valeriani ◽  
Carmen Barba ◽  
Domenica Le Pera ◽  
Domenico Restuccia ◽  
Gabriella Colicchio ◽  
...  
1999 ◽  
Vol 110 (1) ◽  
pp. 133-145 ◽  
Author(s):  
Maud Frot ◽  
Loı̈c Rambaud ◽  
Marc Guénot ◽  
François Mauguière

2010 ◽  
Vol 25 (2) ◽  
pp. 213-220 ◽  
Author(s):  
Michele Tinazzi ◽  
Serena Recchia ◽  
Sara Simonetto ◽  
Stefano Tamburin ◽  
Giovanni Defazio ◽  
...  

Cephalalgia ◽  
2019 ◽  
Vol 39 (9) ◽  
pp. 1143-1155 ◽  
Author(s):  
Bingzhao Zhu ◽  
Gianluca Coppola ◽  
Mahsa Shoaran

Objective The automatic detection of migraine states using electrophysiological recordings may play a key role in migraine diagnosis and early treatment. Migraineurs are characterized by a deficit of habituation in cortical information processing, causing abnormal changes of somatosensory evoked potentials. Here, we propose a machine learning approach to utilize somatosensory evoked potential-based biomarkers for migraine classification in a noninvasive setting. Methods Forty-two migraine patients, including 29 interictal and 13 ictal, were recruited and compared with 15 healthy volunteers of similar age and gender distribution. The right median nerve somatosensory evoked potentials were collected from all subjects. State-of-the-art machine learning algorithms including random forest, extreme gradient-boosting trees, support vector machines, K-nearest neighbors, multilayer perceptron, linear discriminant analysis, and logistic regression were used for classification and were built upon somatosensory evoked potential features in time and frequency domains. A feature selection method was employed to assess the contribution of features and compare it with previous clinical findings, and to build an optimal feature set by removing redundant features. Results Using a set of relevant features and different machine learning models, accuracies ranging from 51.2% to 72.4% were achieved for the healthy volunteers-ictal-interictal classification task. Following model and feature selection, we successfully separated the three groups of subjects with an accuracy of 89.7% for the healthy volunteers-ictal, 88.7% for healthy volunteers-interictal, 80.2% for ictal-interictal, and 73.3% for healthy volunteers-ictal-interictal classification tasks, respectively. Conclusion Our proposed model suggests the potential use of somatosensory evoked potentials as a prominent and reliable signal in migraine classification. This non-invasive somatosensory evoked potential-based classification system offers the potential to reliably separate migraine patients in ictal and interictal states from healthy controls.


1997 ◽  
Vol 85 (1) ◽  
pp. 259-266 ◽  
Author(s):  
Y. Nishihira ◽  
K. Funase ◽  
H. Araki ◽  
K. Imanaka

We examined changes in somatosensory evoked potentials (SEPs) during voluntary movement of fingers innervated by the stimulated nerve and those not innervated by the stimulated nerve and the relationship to the kind of movement modality. Analysis showed that the amplitude of most components at F3, C3', and P3, except for P45 at C3, N35 and P45 at P3, decreased during voluntary finger movement tasks. Further, we found that the components of P40 at F3, P45 at C3', and N35 at P3 were increased during the voluntary pulling movement of the second and the third digits compared to those during the voluntary pushing movement of the fourth and the fifth digits, whereas all other components were decreased at F3, C3', and P3. We also found that not all components of SEPs were decreased while some SEPs in middle latency were increased. In conclusion, we confirmed the selectivity in attenuation of the SEPs. Moreover, we noted an interesting finding that the selectivity of attenuation of the SEPs was most frequently observed in the N20, P30 (P25 at F3), N35 (N30 at F3), and P45 (P40 at F3) components at F3, C3', and P3.


Pain ◽  
2008 ◽  
Vol 136 (1) ◽  
pp. 117-124 ◽  
Author(s):  
Michele Tinazzi ◽  
Claudia Del Vesco ◽  
Giovanni Defazio ◽  
Emiliana Fincati ◽  
Nicola Smania ◽  
...  

Author(s):  
Andrew Eisen

Three decades have elapsed since Dawson (1947) recorded the first somatosensory evoked potential (SEP). Simple superimposition of individual responses was possible because the patient had progressive myoclonic epilepsy. In this disease the SEP amplitude is much enhanced (Shibasaki et al, 1978; Kelly et al, 1981). Subsequently Dawson (1951, 1954) presented his averager to the Physiological Society, thereby initiating the present-day explosive growth of evoked potentials.SEPs are made up of components with varying latencies. The components are best identified by latency and polarity as recorded at the scalp (P = positive and N = negative). Nevertheless, the nomenclature of somatosensory evoked potentials can be extremely confusing, mainly because the same component can have a different polarity depending on the electrode montage used. Generally speaking (but this is not a firm rule), far-field (subcortical) potentials are positive in polarity when a non-cephalic reference is used, whereas these same components have a negative polarity when the reference is on the scalp. It is therefore useful to always indicate the recording montage being employed. In addition, use of absolute latencies in the terminology can cause confusion because they are dependent upon length and body height. For example, the brachial plexus component usually occurs at about 9 msec, but may extend to as long as 11 or more msec in a very tall individual. Subsequent components then become difficult to identify in relation to normal means.


Cephalalgia ◽  
2021 ◽  
pp. 033310242199634
Author(s):  
Marina de Tommaso ◽  
Marianna Delussi ◽  
Eleonora Gentile ◽  
Katia Ricci ◽  
Silvia Giovanna Quitadamo ◽  
...  

Background Erenumab is a monoclonal antibody against calcitonin gene-related peptide receptors, which showed efficacy in migraine attack prevention. The aims of the present pilot study were to i) evaluate the effect of single dose of Erenumab 70 mg on laser evoked potentials from trigeminal and brachial stimulation in a cohort of migraine patients; ii) correlate the neurophysiological changes with clinical outcome after 3 months’ treatment. Methods Laser evoked potentials were recorded by 61 electroencephalogram channels before (T0), 1 h (T1) and 7 days after (T2) Erenumab 70 mg injection, stimulating the left and right forehead and the right hand. Laser evoked potential control 1 h after the injection served as placebo session. Results Seventeen migraine patients were evaluated. The N1 and N2 component obtained from the right and left trigeminal stimulation diminished in amplitude at T2, compared to T0 and T1 conditions. N2 habituation reduction slightly recovered at T2. Laser evoked potential changes did not correlate with clinical improvement after 3 months of Erenumab treatment. Conclusions A single dose of Erenumab has a mild inhibitory effect on cortical responses evoked from trigeminal cutaneous a-delta fibers. Though this phenomenon was not predictive of the clinical outcome, it confirms a wide representation of calcitonin gene-related peptide receptors on trigeminal afferents.


2002 ◽  
Vol 329 (3) ◽  
pp. 329-333 ◽  
Author(s):  
Massimiliano Valeriani ◽  
Domenico Restuccia ◽  
Domenica Le Pera ◽  
Liala De Armas ◽  
Toni Maiese ◽  
...  

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