A review of neurophysiological effects and efficiency of waveform parameters in deep brain stimulation
Neurostimulation has diverse clinical applications and potential as a treatment for medically refractory movement disorders, epilepsy, and other neurological disorders. However, the parameters used to program electrodes—polarity, pulse width, amplitude, and frequency—and how they are adjusted have r...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Gilbert, Zachary [verfasserIn] Mason, Xenos [verfasserIn] Sebastian, Rinu [verfasserIn] Tang, Austin M. [verfasserIn] Martin Del Campo-Vera, Roberto [verfasserIn] Chen, Kuang-Hsuan [verfasserIn] Leonor, Andrea [verfasserIn] Shao, Arthur [verfasserIn] Tabarsi, Emiliano [verfasserIn] Chung, Ryan [verfasserIn] Sundaram, Shivani [verfasserIn] Kammen, Alexandra [verfasserIn] Cavaleri, Jonathan [verfasserIn] Gogia, Angad S. [verfasserIn] Heck, Christi [verfasserIn] Nune, George [verfasserIn] Liu, Charles Y. [verfasserIn] Kellis, Spencer S. [verfasserIn] Lee, Brian [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Clinical neurophysiology - Amsterdam [u.a.] : Elsevier Science, 1999, 152, Seite 93-111 |
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| Übergeordnetes Werk: |
volume:152 ; pages:93-111 |
| DOI / URN: |
10.1016/j.clinph.2023.04.007 |
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| Katalog-ID: |
ELV060623314 |
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| 245 | 1 | 0 | |a A review of neurophysiological effects and efficiency of waveform parameters in deep brain stimulation |
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| 520 | |a Neurostimulation has diverse clinical applications and potential as a treatment for medically refractory movement disorders, epilepsy, and other neurological disorders. However, the parameters used to program electrodes—polarity, pulse width, amplitude, and frequency—and how they are adjusted have remained largely untouched since the 1970 s. This review summarizes the state-of-the-art in Deep Brain Stimulation (DBS) and highlights the need for further research to uncover the physiological mechanisms of neurostimulation. We focus on studies that reveal the potential for clinicians to use waveform parameters to selectively stimulate neural tissue for therapeutic benefit, while avoiding activating tissue associated with adverse effects. DBS uses cathodic monophasic rectangular pulses with passive recharging in clinical practice to treat neurological conditions such as Parkinson’s Disease. However, research has shown that stimulation efficiency can be improved, and side effects reduced, through modulating parameters and adding novel waveform properties. These developments can prolong implantable pulse generator lifespan, reducing costs and surgery-associated risks. Waveform parameters can stimulate neurons based on axon orientation and intrinsic structural properties, providing clinicians with more precise targeting of neural pathways. These findings could expand the spectrum of diseases treatable with neuromodulation and improve patient outcomes. | ||
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| 700 | 1 | |a Mason, Xenos |e verfasserin |0 (orcid)0000-0002-5821-7275 |4 aut | |
| 700 | 1 | |a Sebastian, Rinu |e verfasserin |4 aut | |
| 700 | 1 | |a Tang, Austin M. |e verfasserin |0 (orcid)0000-0002-0472-9005 |4 aut | |
| 700 | 1 | |a Martin Del Campo-Vera, Roberto |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Kuang-Hsuan |e verfasserin |4 aut | |
| 700 | 1 | |a Leonor, Andrea |e verfasserin |0 (orcid)0000-0002-3216-6932 |4 aut | |
| 700 | 1 | |a Shao, Arthur |e verfasserin |4 aut | |
| 700 | 1 | |a Tabarsi, Emiliano |e verfasserin |0 (orcid)0000-0003-4221-9177 |4 aut | |
| 700 | 1 | |a Chung, Ryan |e verfasserin |0 (orcid)0000-0002-4732-9028 |4 aut | |
| 700 | 1 | |a Sundaram, Shivani |e verfasserin |0 (orcid)0000-0003-2863-9204 |4 aut | |
| 700 | 1 | |a Kammen, Alexandra |e verfasserin |0 (orcid)0000-0001-5490-2171 |4 aut | |
| 700 | 1 | |a Cavaleri, Jonathan |e verfasserin |4 aut | |
| 700 | 1 | |a Gogia, Angad S. |e verfasserin |4 aut | |
| 700 | 1 | |a Heck, Christi |e verfasserin |4 aut | |
| 700 | 1 | |a Nune, George |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Charles Y. |e verfasserin |0 (orcid)0000-0001-6423-8577 |4 aut | |
| 700 | 1 | |a Kellis, Spencer S. |e verfasserin |4 aut | |
| 700 | 1 | |a Lee, Brian |e verfasserin |4 aut | |
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10.1016/j.clinph.2023.04.007 doi (DE-627)ELV060623314 (ELSEVIER)S1388-2457(23)00612-0 DE-627 ger DE-627 rda eng 610 VZ 44.37 bkl 44.90 bkl Gilbert, Zachary verfasserin (orcid)0000-0003-4967-4383 aut A review of neurophysiological effects and efficiency of waveform parameters in deep brain stimulation 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Neurostimulation has diverse clinical applications and potential as a treatment for medically refractory movement disorders, epilepsy, and other neurological disorders. However, the parameters used to program electrodes—polarity, pulse width, amplitude, and frequency—and how they are adjusted have remained largely untouched since the 1970 s. This review summarizes the state-of-the-art in Deep Brain Stimulation (DBS) and highlights the need for further research to uncover the physiological mechanisms of neurostimulation. We focus on studies that reveal the potential for clinicians to use waveform parameters to selectively stimulate neural tissue for therapeutic benefit, while avoiding activating tissue associated with adverse effects. DBS uses cathodic monophasic rectangular pulses with passive recharging in clinical practice to treat neurological conditions such as Parkinson’s Disease. However, research has shown that stimulation efficiency can be improved, and side effects reduced, through modulating parameters and adding novel waveform properties. These developments can prolong implantable pulse generator lifespan, reducing costs and surgery-associated risks. Waveform parameters can stimulate neurons based on axon orientation and intrinsic structural properties, providing clinicians with more precise targeting of neural pathways. These findings could expand the spectrum of diseases treatable with neuromodulation and improve patient outcomes. Waveform Parameter Deep Brain Stimulation Polarity Frequency Phase Pulse Width Mason, Xenos verfasserin (orcid)0000-0002-5821-7275 aut Sebastian, Rinu verfasserin aut Tang, Austin M. verfasserin (orcid)0000-0002-0472-9005 aut Martin Del Campo-Vera, Roberto verfasserin aut Chen, Kuang-Hsuan verfasserin aut Leonor, Andrea verfasserin (orcid)0000-0002-3216-6932 aut Shao, Arthur verfasserin aut Tabarsi, Emiliano verfasserin (orcid)0000-0003-4221-9177 aut Chung, Ryan verfasserin (orcid)0000-0002-4732-9028 aut Sundaram, Shivani verfasserin (orcid)0000-0003-2863-9204 aut Kammen, Alexandra verfasserin (orcid)0000-0001-5490-2171 aut Cavaleri, Jonathan verfasserin aut Gogia, Angad S. verfasserin aut Heck, Christi verfasserin aut Nune, George verfasserin aut Liu, Charles Y. verfasserin (orcid)0000-0001-6423-8577 aut Kellis, Spencer S. verfasserin aut Lee, Brian verfasserin aut Enthalten in Clinical neurophysiology Amsterdam [u.a.] : Elsevier Science, 1999 152, Seite 93-111 Online-Ressource (DE-627)306654555 (DE-600)1499934-1 (DE-576)081984782 1872-8952 nnns volume:152 pages:93-111 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.37 Physiologie Medizin VZ 44.90 Neurologie VZ AR 152 93-111 |
| spelling |
10.1016/j.clinph.2023.04.007 doi (DE-627)ELV060623314 (ELSEVIER)S1388-2457(23)00612-0 DE-627 ger DE-627 rda eng 610 VZ 44.37 bkl 44.90 bkl Gilbert, Zachary verfasserin (orcid)0000-0003-4967-4383 aut A review of neurophysiological effects and efficiency of waveform parameters in deep brain stimulation 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Neurostimulation has diverse clinical applications and potential as a treatment for medically refractory movement disorders, epilepsy, and other neurological disorders. However, the parameters used to program electrodes—polarity, pulse width, amplitude, and frequency—and how they are adjusted have remained largely untouched since the 1970 s. This review summarizes the state-of-the-art in Deep Brain Stimulation (DBS) and highlights the need for further research to uncover the physiological mechanisms of neurostimulation. We focus on studies that reveal the potential for clinicians to use waveform parameters to selectively stimulate neural tissue for therapeutic benefit, while avoiding activating tissue associated with adverse effects. DBS uses cathodic monophasic rectangular pulses with passive recharging in clinical practice to treat neurological conditions such as Parkinson’s Disease. However, research has shown that stimulation efficiency can be improved, and side effects reduced, through modulating parameters and adding novel waveform properties. These developments can prolong implantable pulse generator lifespan, reducing costs and surgery-associated risks. Waveform parameters can stimulate neurons based on axon orientation and intrinsic structural properties, providing clinicians with more precise targeting of neural pathways. These findings could expand the spectrum of diseases treatable with neuromodulation and improve patient outcomes. Waveform Parameter Deep Brain Stimulation Polarity Frequency Phase Pulse Width Mason, Xenos verfasserin (orcid)0000-0002-5821-7275 aut Sebastian, Rinu verfasserin aut Tang, Austin M. verfasserin (orcid)0000-0002-0472-9005 aut Martin Del Campo-Vera, Roberto verfasserin aut Chen, Kuang-Hsuan verfasserin aut Leonor, Andrea verfasserin (orcid)0000-0002-3216-6932 aut Shao, Arthur verfasserin aut Tabarsi, Emiliano verfasserin (orcid)0000-0003-4221-9177 aut Chung, Ryan verfasserin (orcid)0000-0002-4732-9028 aut Sundaram, Shivani verfasserin (orcid)0000-0003-2863-9204 aut Kammen, Alexandra verfasserin (orcid)0000-0001-5490-2171 aut Cavaleri, Jonathan verfasserin aut Gogia, Angad S. verfasserin aut Heck, Christi verfasserin aut Nune, George verfasserin aut Liu, Charles Y. verfasserin (orcid)0000-0001-6423-8577 aut Kellis, Spencer S. verfasserin aut Lee, Brian verfasserin aut Enthalten in Clinical neurophysiology Amsterdam [u.a.] : Elsevier Science, 1999 152, Seite 93-111 Online-Ressource (DE-627)306654555 (DE-600)1499934-1 (DE-576)081984782 1872-8952 nnns volume:152 pages:93-111 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.37 Physiologie Medizin VZ 44.90 Neurologie VZ AR 152 93-111 |
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10.1016/j.clinph.2023.04.007 doi (DE-627)ELV060623314 (ELSEVIER)S1388-2457(23)00612-0 DE-627 ger DE-627 rda eng 610 VZ 44.37 bkl 44.90 bkl Gilbert, Zachary verfasserin (orcid)0000-0003-4967-4383 aut A review of neurophysiological effects and efficiency of waveform parameters in deep brain stimulation 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Neurostimulation has diverse clinical applications and potential as a treatment for medically refractory movement disorders, epilepsy, and other neurological disorders. However, the parameters used to program electrodes—polarity, pulse width, amplitude, and frequency—and how they are adjusted have remained largely untouched since the 1970 s. This review summarizes the state-of-the-art in Deep Brain Stimulation (DBS) and highlights the need for further research to uncover the physiological mechanisms of neurostimulation. We focus on studies that reveal the potential for clinicians to use waveform parameters to selectively stimulate neural tissue for therapeutic benefit, while avoiding activating tissue associated with adverse effects. DBS uses cathodic monophasic rectangular pulses with passive recharging in clinical practice to treat neurological conditions such as Parkinson’s Disease. However, research has shown that stimulation efficiency can be improved, and side effects reduced, through modulating parameters and adding novel waveform properties. These developments can prolong implantable pulse generator lifespan, reducing costs and surgery-associated risks. Waveform parameters can stimulate neurons based on axon orientation and intrinsic structural properties, providing clinicians with more precise targeting of neural pathways. These findings could expand the spectrum of diseases treatable with neuromodulation and improve patient outcomes. Waveform Parameter Deep Brain Stimulation Polarity Frequency Phase Pulse Width Mason, Xenos verfasserin (orcid)0000-0002-5821-7275 aut Sebastian, Rinu verfasserin aut Tang, Austin M. verfasserin (orcid)0000-0002-0472-9005 aut Martin Del Campo-Vera, Roberto verfasserin aut Chen, Kuang-Hsuan verfasserin aut Leonor, Andrea verfasserin (orcid)0000-0002-3216-6932 aut Shao, Arthur verfasserin aut Tabarsi, Emiliano verfasserin (orcid)0000-0003-4221-9177 aut Chung, Ryan verfasserin (orcid)0000-0002-4732-9028 aut Sundaram, Shivani verfasserin (orcid)0000-0003-2863-9204 aut Kammen, Alexandra verfasserin (orcid)0000-0001-5490-2171 aut Cavaleri, Jonathan verfasserin aut Gogia, Angad S. verfasserin aut Heck, Christi verfasserin aut Nune, George verfasserin aut Liu, Charles Y. verfasserin (orcid)0000-0001-6423-8577 aut Kellis, Spencer S. verfasserin aut Lee, Brian verfasserin aut Enthalten in Clinical neurophysiology Amsterdam [u.a.] : Elsevier Science, 1999 152, Seite 93-111 Online-Ressource (DE-627)306654555 (DE-600)1499934-1 (DE-576)081984782 1872-8952 nnns volume:152 pages:93-111 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.37 Physiologie Medizin VZ 44.90 Neurologie VZ AR 152 93-111 |
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10.1016/j.clinph.2023.04.007 doi (DE-627)ELV060623314 (ELSEVIER)S1388-2457(23)00612-0 DE-627 ger DE-627 rda eng 610 VZ 44.37 bkl 44.90 bkl Gilbert, Zachary verfasserin (orcid)0000-0003-4967-4383 aut A review of neurophysiological effects and efficiency of waveform parameters in deep brain stimulation 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Neurostimulation has diverse clinical applications and potential as a treatment for medically refractory movement disorders, epilepsy, and other neurological disorders. However, the parameters used to program electrodes—polarity, pulse width, amplitude, and frequency—and how they are adjusted have remained largely untouched since the 1970 s. This review summarizes the state-of-the-art in Deep Brain Stimulation (DBS) and highlights the need for further research to uncover the physiological mechanisms of neurostimulation. We focus on studies that reveal the potential for clinicians to use waveform parameters to selectively stimulate neural tissue for therapeutic benefit, while avoiding activating tissue associated with adverse effects. DBS uses cathodic monophasic rectangular pulses with passive recharging in clinical practice to treat neurological conditions such as Parkinson’s Disease. However, research has shown that stimulation efficiency can be improved, and side effects reduced, through modulating parameters and adding novel waveform properties. These developments can prolong implantable pulse generator lifespan, reducing costs and surgery-associated risks. Waveform parameters can stimulate neurons based on axon orientation and intrinsic structural properties, providing clinicians with more precise targeting of neural pathways. These findings could expand the spectrum of diseases treatable with neuromodulation and improve patient outcomes. Waveform Parameter Deep Brain Stimulation Polarity Frequency Phase Pulse Width Mason, Xenos verfasserin (orcid)0000-0002-5821-7275 aut Sebastian, Rinu verfasserin aut Tang, Austin M. verfasserin (orcid)0000-0002-0472-9005 aut Martin Del Campo-Vera, Roberto verfasserin aut Chen, Kuang-Hsuan verfasserin aut Leonor, Andrea verfasserin (orcid)0000-0002-3216-6932 aut Shao, Arthur verfasserin aut Tabarsi, Emiliano verfasserin (orcid)0000-0003-4221-9177 aut Chung, Ryan verfasserin (orcid)0000-0002-4732-9028 aut Sundaram, Shivani verfasserin (orcid)0000-0003-2863-9204 aut Kammen, Alexandra verfasserin (orcid)0000-0001-5490-2171 aut Cavaleri, Jonathan verfasserin aut Gogia, Angad S. verfasserin aut Heck, Christi verfasserin aut Nune, George verfasserin aut Liu, Charles Y. verfasserin (orcid)0000-0001-6423-8577 aut Kellis, Spencer S. verfasserin aut Lee, Brian verfasserin aut Enthalten in Clinical neurophysiology Amsterdam [u.a.] : Elsevier Science, 1999 152, Seite 93-111 Online-Ressource (DE-627)306654555 (DE-600)1499934-1 (DE-576)081984782 1872-8952 nnns volume:152 pages:93-111 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.37 Physiologie Medizin VZ 44.90 Neurologie VZ AR 152 93-111 |
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10.1016/j.clinph.2023.04.007 doi (DE-627)ELV060623314 (ELSEVIER)S1388-2457(23)00612-0 DE-627 ger DE-627 rda eng 610 VZ 44.37 bkl 44.90 bkl Gilbert, Zachary verfasserin (orcid)0000-0003-4967-4383 aut A review of neurophysiological effects and efficiency of waveform parameters in deep brain stimulation 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Neurostimulation has diverse clinical applications and potential as a treatment for medically refractory movement disorders, epilepsy, and other neurological disorders. However, the parameters used to program electrodes—polarity, pulse width, amplitude, and frequency—and how they are adjusted have remained largely untouched since the 1970 s. This review summarizes the state-of-the-art in Deep Brain Stimulation (DBS) and highlights the need for further research to uncover the physiological mechanisms of neurostimulation. We focus on studies that reveal the potential for clinicians to use waveform parameters to selectively stimulate neural tissue for therapeutic benefit, while avoiding activating tissue associated with adverse effects. DBS uses cathodic monophasic rectangular pulses with passive recharging in clinical practice to treat neurological conditions such as Parkinson’s Disease. However, research has shown that stimulation efficiency can be improved, and side effects reduced, through modulating parameters and adding novel waveform properties. These developments can prolong implantable pulse generator lifespan, reducing costs and surgery-associated risks. Waveform parameters can stimulate neurons based on axon orientation and intrinsic structural properties, providing clinicians with more precise targeting of neural pathways. These findings could expand the spectrum of diseases treatable with neuromodulation and improve patient outcomes. Waveform Parameter Deep Brain Stimulation Polarity Frequency Phase Pulse Width Mason, Xenos verfasserin (orcid)0000-0002-5821-7275 aut Sebastian, Rinu verfasserin aut Tang, Austin M. verfasserin (orcid)0000-0002-0472-9005 aut Martin Del Campo-Vera, Roberto verfasserin aut Chen, Kuang-Hsuan verfasserin aut Leonor, Andrea verfasserin (orcid)0000-0002-3216-6932 aut Shao, Arthur verfasserin aut Tabarsi, Emiliano verfasserin (orcid)0000-0003-4221-9177 aut Chung, Ryan verfasserin (orcid)0000-0002-4732-9028 aut Sundaram, Shivani verfasserin (orcid)0000-0003-2863-9204 aut Kammen, Alexandra verfasserin (orcid)0000-0001-5490-2171 aut Cavaleri, Jonathan verfasserin aut Gogia, Angad S. verfasserin aut Heck, Christi verfasserin aut Nune, George verfasserin aut Liu, Charles Y. verfasserin (orcid)0000-0001-6423-8577 aut Kellis, Spencer S. verfasserin aut Lee, Brian verfasserin aut Enthalten in Clinical neurophysiology Amsterdam [u.a.] : Elsevier Science, 1999 152, Seite 93-111 Online-Ressource (DE-627)306654555 (DE-600)1499934-1 (DE-576)081984782 1872-8952 nnns volume:152 pages:93-111 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.37 Physiologie Medizin VZ 44.90 Neurologie VZ AR 152 93-111 |
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Gilbert, Zachary @@aut@@ Mason, Xenos @@aut@@ Sebastian, Rinu @@aut@@ Tang, Austin M. @@aut@@ Martin Del Campo-Vera, Roberto @@aut@@ Chen, Kuang-Hsuan @@aut@@ Leonor, Andrea @@aut@@ Shao, Arthur @@aut@@ Tabarsi, Emiliano @@aut@@ Chung, Ryan @@aut@@ Sundaram, Shivani @@aut@@ Kammen, Alexandra @@aut@@ Cavaleri, Jonathan @@aut@@ Gogia, Angad S. @@aut@@ Heck, Christi @@aut@@ Nune, George @@aut@@ Liu, Charles Y. @@aut@@ Kellis, Spencer S. @@aut@@ Lee, Brian @@aut@@ |
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Gilbert, Zachary |
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Gilbert, Zachary Mason, Xenos Sebastian, Rinu Tang, Austin M. Martin Del Campo-Vera, Roberto Chen, Kuang-Hsuan Leonor, Andrea Shao, Arthur Tabarsi, Emiliano Chung, Ryan Sundaram, Shivani Kammen, Alexandra Cavaleri, Jonathan Gogia, Angad S. Heck, Christi Nune, George Liu, Charles Y. Kellis, Spencer S. Lee, Brian |
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a review of neurophysiological effects and efficiency of waveform parameters in deep brain stimulation |
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A review of neurophysiological effects and efficiency of waveform parameters in deep brain stimulation |
| abstract |
Neurostimulation has diverse clinical applications and potential as a treatment for medically refractory movement disorders, epilepsy, and other neurological disorders. However, the parameters used to program electrodes—polarity, pulse width, amplitude, and frequency—and how they are adjusted have remained largely untouched since the 1970 s. This review summarizes the state-of-the-art in Deep Brain Stimulation (DBS) and highlights the need for further research to uncover the physiological mechanisms of neurostimulation. We focus on studies that reveal the potential for clinicians to use waveform parameters to selectively stimulate neural tissue for therapeutic benefit, while avoiding activating tissue associated with adverse effects. DBS uses cathodic monophasic rectangular pulses with passive recharging in clinical practice to treat neurological conditions such as Parkinson’s Disease. However, research has shown that stimulation efficiency can be improved, and side effects reduced, through modulating parameters and adding novel waveform properties. These developments can prolong implantable pulse generator lifespan, reducing costs and surgery-associated risks. Waveform parameters can stimulate neurons based on axon orientation and intrinsic structural properties, providing clinicians with more precise targeting of neural pathways. These findings could expand the spectrum of diseases treatable with neuromodulation and improve patient outcomes. |
| abstractGer |
Neurostimulation has diverse clinical applications and potential as a treatment for medically refractory movement disorders, epilepsy, and other neurological disorders. However, the parameters used to program electrodes—polarity, pulse width, amplitude, and frequency—and how they are adjusted have remained largely untouched since the 1970 s. This review summarizes the state-of-the-art in Deep Brain Stimulation (DBS) and highlights the need for further research to uncover the physiological mechanisms of neurostimulation. We focus on studies that reveal the potential for clinicians to use waveform parameters to selectively stimulate neural tissue for therapeutic benefit, while avoiding activating tissue associated with adverse effects. DBS uses cathodic monophasic rectangular pulses with passive recharging in clinical practice to treat neurological conditions such as Parkinson’s Disease. However, research has shown that stimulation efficiency can be improved, and side effects reduced, through modulating parameters and adding novel waveform properties. These developments can prolong implantable pulse generator lifespan, reducing costs and surgery-associated risks. Waveform parameters can stimulate neurons based on axon orientation and intrinsic structural properties, providing clinicians with more precise targeting of neural pathways. These findings could expand the spectrum of diseases treatable with neuromodulation and improve patient outcomes. |
| abstract_unstemmed |
Neurostimulation has diverse clinical applications and potential as a treatment for medically refractory movement disorders, epilepsy, and other neurological disorders. However, the parameters used to program electrodes—polarity, pulse width, amplitude, and frequency—and how they are adjusted have remained largely untouched since the 1970 s. This review summarizes the state-of-the-art in Deep Brain Stimulation (DBS) and highlights the need for further research to uncover the physiological mechanisms of neurostimulation. We focus on studies that reveal the potential for clinicians to use waveform parameters to selectively stimulate neural tissue for therapeutic benefit, while avoiding activating tissue associated with adverse effects. DBS uses cathodic monophasic rectangular pulses with passive recharging in clinical practice to treat neurological conditions such as Parkinson’s Disease. However, research has shown that stimulation efficiency can be improved, and side effects reduced, through modulating parameters and adding novel waveform properties. These developments can prolong implantable pulse generator lifespan, reducing costs and surgery-associated risks. Waveform parameters can stimulate neurons based on axon orientation and intrinsic structural properties, providing clinicians with more precise targeting of neural pathways. These findings could expand the spectrum of diseases treatable with neuromodulation and improve patient outcomes. |
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A review of neurophysiological effects and efficiency of waveform parameters in deep brain stimulation |
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Mason, Xenos Sebastian, Rinu Tang, Austin M. Martin Del Campo-Vera, Roberto Chen, Kuang-Hsuan Leonor, Andrea Shao, Arthur Tabarsi, Emiliano Chung, Ryan Sundaram, Shivani Kammen, Alexandra Cavaleri, Jonathan Gogia, Angad S. Heck, Christi Nune, George Liu, Charles Y. Kellis, Spencer S. Lee, Brian |
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Mason, Xenos Sebastian, Rinu Tang, Austin M. Martin Del Campo-Vera, Roberto Chen, Kuang-Hsuan Leonor, Andrea Shao, Arthur Tabarsi, Emiliano Chung, Ryan Sundaram, Shivani Kammen, Alexandra Cavaleri, Jonathan Gogia, Angad S. Heck, Christi Nune, George Liu, Charles Y. Kellis, Spencer S. Lee, Brian |
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10.1016/j.clinph.2023.04.007 |
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2024-07-06T16:38:13.424Z |
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