Abstract
Objective: We aimed the present study at estimating the appropriateness of generalised partial directed coherence (GPDC) in detecting myoclonus-related EEG-EMG connectivity pattern and the information flow between sensorimotor cortex and muscles in patients with typical cortical myoclonus due to Unverricht-Lundborg disease. Methods: In 13 patients with cortical myoclonus, we analysed the EEG and EMG signals recorded during simple voluntary motor activities using GPDC, a frequency domain linear index of connectivity estimated from a multivariate autoregressive model. The results were compared with those obtained in 12 healthy controls. Results: The GPDC revealed a peculiar pattern characterising patients with cortical myoclonus with respect to healthy subjects. Patients consistently had significant more robust outflow toward activated muscle originating from cortical areas exceeding the motor one. Moreover, they also had a more robust EMG outflow directed toward a wider cortical area contralateral to activated hand and sometimes also toward the ipsilateral central region. Conclusions: Our results clearly indicate the recruitment of extensive cortical network in afferent and efferent EEG-EMG relationships. Significance: Given that robust cortical outflow can be considered as the pathogenic mechanism sustaining myoclonus, the perturbation from the EMG outflow could lead to the involvement of large cortical area implied in sensorimotor integration and became capable of generating and maintaining the jerk recurrence.
| Original language | English |
|---|---|
| Pages (from-to) | 1803-1808 |
| Number of pages | 6 |
| Journal | Clinical Neurophysiology |
| Volume | 125 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 2014 |
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Keywords
- Cortical myoclonus
- EEG
- EPM1
- GPDC
- MVAR
ASJC Scopus subject areas
- Neurology
- Physiology (medical)
- Sensory Systems
- Clinical Neurology
- Medicine(all)
Cite this
EEG-EMG information flow in movement-activated myoclonus in patients with Unverricht-Lundborg disease. / Panzica, Ferruccio; Canafoglia, Laura; Franceschetti, Silvana.
In: Clinical Neurophysiology, Vol. 125, No. 9, 2014, p. 1803-1808.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - EEG-EMG information flow in movement-activated myoclonus in patients with Unverricht-Lundborg disease
AU - Panzica, Ferruccio
AU - Canafoglia, Laura
AU - Franceschetti, Silvana
PY - 2014
Y1 - 2014
N2 - Objective: We aimed the present study at estimating the appropriateness of generalised partial directed coherence (GPDC) in detecting myoclonus-related EEG-EMG connectivity pattern and the information flow between sensorimotor cortex and muscles in patients with typical cortical myoclonus due to Unverricht-Lundborg disease. Methods: In 13 patients with cortical myoclonus, we analysed the EEG and EMG signals recorded during simple voluntary motor activities using GPDC, a frequency domain linear index of connectivity estimated from a multivariate autoregressive model. The results were compared with those obtained in 12 healthy controls. Results: The GPDC revealed a peculiar pattern characterising patients with cortical myoclonus with respect to healthy subjects. Patients consistently had significant more robust outflow toward activated muscle originating from cortical areas exceeding the motor one. Moreover, they also had a more robust EMG outflow directed toward a wider cortical area contralateral to activated hand and sometimes also toward the ipsilateral central region. Conclusions: Our results clearly indicate the recruitment of extensive cortical network in afferent and efferent EEG-EMG relationships. Significance: Given that robust cortical outflow can be considered as the pathogenic mechanism sustaining myoclonus, the perturbation from the EMG outflow could lead to the involvement of large cortical area implied in sensorimotor integration and became capable of generating and maintaining the jerk recurrence.
AB - Objective: We aimed the present study at estimating the appropriateness of generalised partial directed coherence (GPDC) in detecting myoclonus-related EEG-EMG connectivity pattern and the information flow between sensorimotor cortex and muscles in patients with typical cortical myoclonus due to Unverricht-Lundborg disease. Methods: In 13 patients with cortical myoclonus, we analysed the EEG and EMG signals recorded during simple voluntary motor activities using GPDC, a frequency domain linear index of connectivity estimated from a multivariate autoregressive model. The results were compared with those obtained in 12 healthy controls. Results: The GPDC revealed a peculiar pattern characterising patients with cortical myoclonus with respect to healthy subjects. Patients consistently had significant more robust outflow toward activated muscle originating from cortical areas exceeding the motor one. Moreover, they also had a more robust EMG outflow directed toward a wider cortical area contralateral to activated hand and sometimes also toward the ipsilateral central region. Conclusions: Our results clearly indicate the recruitment of extensive cortical network in afferent and efferent EEG-EMG relationships. Significance: Given that robust cortical outflow can be considered as the pathogenic mechanism sustaining myoclonus, the perturbation from the EMG outflow could lead to the involvement of large cortical area implied in sensorimotor integration and became capable of generating and maintaining the jerk recurrence.
KW - Cortical myoclonus
KW - EEG
KW - EPM1
KW - GPDC
KW - MVAR
UR - http://www.scopus.com/inward/record.url?scp=84906084389&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906084389&partnerID=8YFLogxK
U2 - 10.1016/j.clinph.2014.01.005
DO - 10.1016/j.clinph.2014.01.005
M3 - Article
C2 - 24508192
AN - SCOPUS:84906084389
VL - 125
SP - 1803
EP - 1808
JO - Clinical Neurophysiology
JF - Clinical Neurophysiology
SN - 1388-2457
IS - 9
ER -