Use of surface electromyograpy to assess and select patients with idiopathic dystonia for bilateral pallidal stimulation
Use of surface electromyograpy to assess and select patients with idiopathic dystonia for bilateral pallidal stimulation
OBJECT: The object of this study was to identify a preoperative physiological index by using surface electromyography (EMG) signals that would correlate with clinical outcome in dystonic patients following bilateral pallidal stimulation. METHODS: In 14 patients with spasmodic torticollis, generalized dystonia, and myoclonic dystonia, surface EMG signals were recorded from the most affected muscle groups. Although the dystonia affected different body segments, the EMG signals in all patients could be decomposed into bursting and sustained components. Subsequently, a ratio of the EMG amplitude was calculated between the two components and then correlated with clinical outcome. Patients who experienced rapid improvement following bilateral pallidal stimulation had a significantly higher EMG ratio compared with those who did not. Furthermore, a significant correlation was found between the EMG ratio and clinical improvement during the 12-month period following pallidal stimulation. CONCLUSIONS: The authors concluded that surface EMG studies could be used to predict the clinical outcome of and to select patients for pallidal stimulation for dystonia.
21-25
Wang, Shouyan
fa12f1bf-cac9-4118-abdd-9d52f235b05c
Liu, Xuguang
82f0b077-5b67-495b-92be-5cf1ed8d7bb1
Yianni, John
940fddfe-1c78-4845-9d1a-3d667d27be72
Green, Alex L.
8c13d50d-ad24-4a85-9baf-82a16f8f0cc6
Joint, Carole
f6043141-867a-4815-9890-bb84b2948645
Stein, John F.
341274f8-3eee-4614-958c-635e0b498d78
Bain, Peter G.
a9691e26-7129-4eae-80b8-29e76b0ba31b
Gregory, Ralph
2a0c3f26-d503-497f-a130-96302a61580b
Aziz, Tipu Z.
84768d79-fc87-4c3e-8955-d2e72ca5e6a0
July 2006
Wang, Shouyan
fa12f1bf-cac9-4118-abdd-9d52f235b05c
Liu, Xuguang
82f0b077-5b67-495b-92be-5cf1ed8d7bb1
Yianni, John
940fddfe-1c78-4845-9d1a-3d667d27be72
Green, Alex L.
8c13d50d-ad24-4a85-9baf-82a16f8f0cc6
Joint, Carole
f6043141-867a-4815-9890-bb84b2948645
Stein, John F.
341274f8-3eee-4614-958c-635e0b498d78
Bain, Peter G.
a9691e26-7129-4eae-80b8-29e76b0ba31b
Gregory, Ralph
2a0c3f26-d503-497f-a130-96302a61580b
Aziz, Tipu Z.
84768d79-fc87-4c3e-8955-d2e72ca5e6a0
Wang, Shouyan, Liu, Xuguang, Yianni, John, Green, Alex L., Joint, Carole, Stein, John F., Bain, Peter G., Gregory, Ralph and Aziz, Tipu Z.
(2006)
Use of surface electromyograpy to assess and select patients with idiopathic dystonia for bilateral pallidal stimulation.
Journal of Neurosurgery, 105 (1), .
Abstract
OBJECT: The object of this study was to identify a preoperative physiological index by using surface electromyography (EMG) signals that would correlate with clinical outcome in dystonic patients following bilateral pallidal stimulation. METHODS: In 14 patients with spasmodic torticollis, generalized dystonia, and myoclonic dystonia, surface EMG signals were recorded from the most affected muscle groups. Although the dystonia affected different body segments, the EMG signals in all patients could be decomposed into bursting and sustained components. Subsequently, a ratio of the EMG amplitude was calculated between the two components and then correlated with clinical outcome. Patients who experienced rapid improvement following bilateral pallidal stimulation had a significantly higher EMG ratio compared with those who did not. Furthermore, a significant correlation was found between the EMG ratio and clinical improvement during the 12-month period following pallidal stimulation. CONCLUSIONS: The authors concluded that surface EMG studies could be used to predict the clinical outcome of and to select patients for pallidal stimulation for dystonia.
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Published date: July 2006
Organisations:
Human Sciences Group
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Local EPrints ID: 46597
URI: http://eprints.soton.ac.uk/id/eprint/46597
ISSN: 0022-3085
PURE UUID: c64b3505-d505-4351-a909-0001a531d5f4
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Date deposited: 12 Jul 2007
Last modified: 08 Jan 2022 13:00
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Contributors
Author:
Shouyan Wang
Author:
Xuguang Liu
Author:
John Yianni
Author:
Alex L. Green
Author:
Carole Joint
Author:
John F. Stein
Author:
Peter G. Bain
Author:
Ralph Gregory
Author:
Tipu Z. Aziz
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