A dominant bursting electromyograph pattern in dystonic conditions predicts an early response to pallidal stimulation
A dominant bursting electromyograph pattern in dystonic conditions predicts an early response to pallidal stimulation
Although chronic pallidal deep brain stimulation (DBS) is effective in the treatment of medically intractable dystonia, there is no way of predicting the variations in clinical outcome, partly due to our limited understanding of the pathophysiological mechanisms underlying this condition. We recorded electromyographic (EMG) activity from the most severely affected muscle groups in seven dystonia patients before and after pallidal DBS. Patient EMG recordings could be classified into two groups: one consisting of patients who at rest demonstrated a dominant low frequency component of activity on power spectral analysis (ranging from 2 to 5 Hz), and one group in which this dominant pattern was absent. Early postoperative improvements (within 2–3 days) were observed in the former group, whereas the latter group benefited more gradually (over several months). Analysis of EMG activity may provide a sensitive means of identifying dystonic patients who are likely to be most responsive to functional neurosurgical intervention.
dystonia, EMG, pallidum, stimulation
738-746
Yianni, John
940fddfe-1c78-4845-9d1a-3d667d27be72
Wang, Shou Yan
cea544a8-8562-43cb-9330-19f13c22c1d2
Liu, Xuguang
82f0b077-5b67-495b-92be-5cf1ed8d7bb1
Bain, Peter G.
a9691e26-7129-4eae-80b8-29e76b0ba31b
Nandi, Dipankar
bb04275c-5921-4175-9c17-0b819a1213b0
Gregory, Ralph
2a0c3f26-d503-497f-a130-96302a61580b
Joint, Carole
f6043141-867a-4815-9890-bb84b2948645
Stein, John F.
341274f8-3eee-4614-958c-635e0b498d78
Aziz, Tipu Z.
84768d79-fc87-4c3e-8955-d2e72ca5e6a0
August 2006
Yianni, John
940fddfe-1c78-4845-9d1a-3d667d27be72
Wang, Shou Yan
cea544a8-8562-43cb-9330-19f13c22c1d2
Liu, Xuguang
82f0b077-5b67-495b-92be-5cf1ed8d7bb1
Bain, Peter G.
a9691e26-7129-4eae-80b8-29e76b0ba31b
Nandi, Dipankar
bb04275c-5921-4175-9c17-0b819a1213b0
Gregory, Ralph
2a0c3f26-d503-497f-a130-96302a61580b
Joint, Carole
f6043141-867a-4815-9890-bb84b2948645
Stein, John F.
341274f8-3eee-4614-958c-635e0b498d78
Aziz, Tipu Z.
84768d79-fc87-4c3e-8955-d2e72ca5e6a0
Yianni, John, Wang, Shou Yan, Liu, Xuguang, Bain, Peter G., Nandi, Dipankar, Gregory, Ralph, Joint, Carole, Stein, John F. and Aziz, Tipu Z.
(2006)
A dominant bursting electromyograph pattern in dystonic conditions predicts an early response to pallidal stimulation.
Journal of Clinical Neuroscience, 13 (7), .
(doi:10.1016/j.jocn.2005.07.022).
Abstract
Although chronic pallidal deep brain stimulation (DBS) is effective in the treatment of medically intractable dystonia, there is no way of predicting the variations in clinical outcome, partly due to our limited understanding of the pathophysiological mechanisms underlying this condition. We recorded electromyographic (EMG) activity from the most severely affected muscle groups in seven dystonia patients before and after pallidal DBS. Patient EMG recordings could be classified into two groups: one consisting of patients who at rest demonstrated a dominant low frequency component of activity on power spectral analysis (ranging from 2 to 5 Hz), and one group in which this dominant pattern was absent. Early postoperative improvements (within 2–3 days) were observed in the former group, whereas the latter group benefited more gradually (over several months). Analysis of EMG activity may provide a sensitive means of identifying dystonic patients who are likely to be most responsive to functional neurosurgical intervention.
This record has no associated files available for download.
More information
Published date: August 2006
Keywords:
dystonia, EMG, pallidum, stimulation
Organisations:
Human Sciences Group
Identifiers
Local EPrints ID: 49596
URI: http://eprints.soton.ac.uk/id/eprint/49596
ISSN: 0967-5868
PURE UUID: 77353f06-b621-432f-b888-01685a8c2957
Catalogue record
Date deposited: 21 Nov 2007
Last modified: 15 Mar 2024 09:57
Export record
Altmetrics
Contributors
Author:
John Yianni
Author:
Shou Yan Wang
Author:
Xuguang Liu
Author:
Peter G. Bain
Author:
Dipankar Nandi
Author:
Ralph Gregory
Author:
Carole Joint
Author:
John F. Stein
Author:
Tipu Z. Aziz
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics