EEG-EMG coherence estimated using time-varying autoregressive models in movement-activated myoclonus in patients with progressive myoclonic epilepsies

Ferruccio Panzica; Giulia Varotto; Laura Canafoglia; Davide Rossi Sebastiano; Elisa Visani; Silvana Franceschetti

doi:10.1109/IEMBS.2010.5626652

EEG-EMG coherence estimated using time-varying autoregressive models in movement-activated myoclonus in patients with progressive myoclonic epilepsies

Ferruccio Panzica, Giulia Varotto, Laura Canafoglia, Davide Rossi Sebastiano, Elisa Visani, Silvana Franceschetti

Fondazione IRCCS Istituto Neurologico "C. Besta"

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We aimed this study at verifying the appropriateness of bivariate time-varying autoregressive models in detecting EEG-EMG relationships and identifying the characteristics of myoclonus-related EEG changes in patients with two forms of progressive myoclonus epilepsy (PME). Our results indicate that TVAR analysis was able to detect the presence of prominent peaks of EEG-EMG coherence between the EMG and contralateral frontocentral EEG derivation in all patients, revealing differences in timefrequency spectral profiles associated to the two different forms of PMEs, possibly correlated with the severity of myoclonus.

Original language	English
Title of host publication	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Pages	1642-1645
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2010.5626652
Publication status	Published - 2010
Event	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina Duration: Aug 31 2010 → Sept 4 2010

Other

Other	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Country/Territory	Argentina
City	Buenos Aires
Period	8/31/10 → 9/4/10

ASJC Scopus subject areas

Biomedical Engineering

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10.1109/IEMBS.2010.5626652

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Panzica, F., Varotto, G., Canafoglia, L., Sebastiano, D. R., Visani, E., & Franceschetti, S. (2010). EEG-EMG coherence estimated using time-varying autoregressive models in movement-activated myoclonus in patients with progressive myoclonic epilepsies. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 (pp. 1642-1645). [5626652] https://doi.org/10.1109/IEMBS.2010.5626652

EEG-EMG coherence estimated using time-varying autoregressive models in movement-activated myoclonus in patients with progressive myoclonic epilepsies. / Panzica, Ferruccio ; Varotto, Giulia ; Canafoglia, Laura et al.

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. p. 1642-1645 5626652.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Panzica, F , Varotto, G , Canafoglia, L , Sebastiano, DR , Visani, E & Franceschetti, S 2010, EEG-EMG coherence estimated using time-varying autoregressive models in movement-activated myoclonus in patients with progressive myoclonic epilepsies. in 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10., 5626652, pp. 1642-1645, 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, Buenos Aires, Argentina, 8/31/10. https://doi.org/10.1109/IEMBS.2010.5626652

Panzica F , Varotto G , Canafoglia L , Sebastiano DR , Visani E, Franceschetti S. EEG-EMG coherence estimated using time-varying autoregressive models in movement-activated myoclonus in patients with progressive myoclonic epilepsies. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. p. 1642-1645. 5626652 doi: 10.1109/IEMBS.2010.5626652

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abstract = "We aimed this study at verifying the appropriateness of bivariate time-varying autoregressive models in detecting EEG-EMG relationships and identifying the characteristics of myoclonus-related EEG changes in patients with two forms of progressive myoclonus epilepsy (PME). Our results indicate that TVAR analysis was able to detect the presence of prominent peaks of EEG-EMG coherence between the EMG and contralateral frontocentral EEG derivation in all patients, revealing differences in timefrequency spectral profiles associated to the two different forms of PMEs, possibly correlated with the severity of myoclonus.",

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EEG-EMG coherence estimated using time-varying autoregressive models in movement-activated myoclonus in patients with progressive myoclonic epilepsies

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