2019
DOI: 10.1016/b978-0-444-64032-1.00022-9
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Electrophysiologic mapping for deep brain stimulation for movement disorders

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Cited by 10 publications
(10 citation statements)
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“…The clinical outcome of the surgery largely depends on correct positioning of the stimulating electrode in the sensorimotor region of the STN [2,3]. Microelectrode recordings (MER) of single-cell and multi-unit neuronal activity are commonly used to verify the borders of the STN [4]. To obtain reliable MER, DBS surgery is traditionally performed under local anesthesia alone, as the sedative and anesthetic agents may interfere with neural activity.…”
Section: Introductionmentioning
confidence: 99%
“…The clinical outcome of the surgery largely depends on correct positioning of the stimulating electrode in the sensorimotor region of the STN [2,3]. Microelectrode recordings (MER) of single-cell and multi-unit neuronal activity are commonly used to verify the borders of the STN [4]. To obtain reliable MER, DBS surgery is traditionally performed under local anesthesia alone, as the sedative and anesthetic agents may interfere with neural activity.…”
Section: Introductionmentioning
confidence: 99%
“…Intraoperative electrophysiological recordings for the accurate localization of STN have been a vital step for DBS electrode implantation (Zonenshayn et al, 2000;Sterio et al, 2002;Amirnovin et al, 2006;Gross et al, 2006;Abosch et al, 2013;Campbell et al, 2019). SUA has been the most commonly used electrophysiological signal for targeting (Gross et al, 2006;Abosch et al, 2013;Campbell et al, 2019), which strongly relies on subjective interpretation of single unit firings (Benazzouz et al, 2002;Benabid et al, 2009;Marceglia et al, 2010;Abosch et al, 2013).…”
Section: Discussionmentioning
confidence: 99%
“…Intraoperative electrophysiological recordings for the accurate localization of STN have been a vital step for DBS electrode implantation (Zonenshayn et al, 2000;Sterio et al, 2002;Amirnovin et al, 2006;Gross et al, 2006;Abosch et al, 2013;Campbell et al, 2019). SUA has been the most commonly used electrophysiological signal for targeting (Gross et al, 2006;Abosch et al, 2013;Campbell et al, 2019), which strongly relies on subjective interpretation of single unit firings (Benazzouz et al, 2002;Benabid et al, 2009;Marceglia et al, 2010;Abosch et al, 2013). Recently, there have been reports to ameliorate this disadvantage by identifying and clustering firing types (Kaku et al, 2019(Kaku et al, , 2020 or by detecting entry and exit of the STN automatically (Wong et al, 2009;Zaidel et al, 2009;Pinzon-Morales et al, 2011;Valsky et al, 2017;Thompson et al, 2018).…”
Section: Discussionmentioning
confidence: 99%
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