A Novel Model Incorporating Two Variability Sources for Describing Motor Evoked Potentials
Motor evoked potentials (MEPs) play a pivotal role in transcranial magnetic stimulation (TMS), e.g., for determining the motor threshold and probing cortical excitability. Sampled across the range of stimulation strengths, MEPs outline an input–output (IO) curve, which is often used to characterize...
Ausführliche Beschreibung
Autor*in: |
Goetz, Stefan M. [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2014 |
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Umfang: |
12 |
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Übergeordnetes Werk: |
Enthalten in: Fluorescent carbon quantum dots as a novel solution and paper strip-based dual sensor for the selective detection of Cr(VI) ions - John, Bony K. ELSEVIER, 2022, basic, translational, and clinical research in neuromodulation, New York, NY [u.a.] |
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Übergeordnetes Werk: |
volume:7 ; year:2014 ; number:4 ; pages:541-552 ; extent:12 |
Links: |
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DOI / URN: |
10.1016/j.brs.2014.03.002 |
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ELV028122356 |
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520 | |a Motor evoked potentials (MEPs) play a pivotal role in transcranial magnetic stimulation (TMS), e.g., for determining the motor threshold and probing cortical excitability. Sampled across the range of stimulation strengths, MEPs outline an input–output (IO) curve, which is often used to characterize the corticospinal tract. More detailed understanding of the signal generation and variability of MEPs would provide insight into the underlying physiology and aid correct statistical treatment of MEP data. | ||
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10.1016/j.brs.2014.03.002 doi GBVA2014011000014.pica (DE-627)ELV028122356 (ELSEVIER)S1935-861X(14)00115-6 DE-627 ger DE-627 rakwb eng 610 610 DE-600 550 670 VZ 51.79 bkl Goetz, Stefan M. verfasserin aut A Novel Model Incorporating Two Variability Sources for Describing Motor Evoked Potentials 2014 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Motor evoked potentials (MEPs) play a pivotal role in transcranial magnetic stimulation (TMS), e.g., for determining the motor threshold and probing cortical excitability. Sampled across the range of stimulation strengths, MEPs outline an input–output (IO) curve, which is often used to characterize the corticospinal tract. More detailed understanding of the signal generation and variability of MEPs would provide insight into the underlying physiology and aid correct statistical treatment of MEP data. Transcranial magnetic stimulation (TMS) Elsevier Dual-variability source model Elsevier Response distribution Elsevier Input–output curve (IO) Elsevier Brain stimulation Elsevier Trial-to-trial variability Elsevier Neural recruitment Elsevier Motor evoked potentials (MEP) Elsevier Luber, Bruce oth Lisanby, Sarah H. oth Peterchev, Angel V. oth Enthalten in Elsevier John, Bony K. ELSEVIER Fluorescent carbon quantum dots as a novel solution and paper strip-based dual sensor for the selective detection of Cr(VI) ions 2022 basic, translational, and clinical research in neuromodulation New York, NY [u.a.] (DE-627)ELV008051100 volume:7 year:2014 number:4 pages:541-552 extent:12 https://doi.org/10.1016/j.brs.2014.03.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.79 Sonstige Werkstoffe VZ AR 7 2014 4 541-552 12 045F 610 |
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10.1016/j.brs.2014.03.002 doi GBVA2014011000014.pica (DE-627)ELV028122356 (ELSEVIER)S1935-861X(14)00115-6 DE-627 ger DE-627 rakwb eng 610 610 DE-600 550 670 VZ 51.79 bkl Goetz, Stefan M. verfasserin aut A Novel Model Incorporating Two Variability Sources for Describing Motor Evoked Potentials 2014 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Motor evoked potentials (MEPs) play a pivotal role in transcranial magnetic stimulation (TMS), e.g., for determining the motor threshold and probing cortical excitability. Sampled across the range of stimulation strengths, MEPs outline an input–output (IO) curve, which is often used to characterize the corticospinal tract. More detailed understanding of the signal generation and variability of MEPs would provide insight into the underlying physiology and aid correct statistical treatment of MEP data. Transcranial magnetic stimulation (TMS) Elsevier Dual-variability source model Elsevier Response distribution Elsevier Input–output curve (IO) Elsevier Brain stimulation Elsevier Trial-to-trial variability Elsevier Neural recruitment Elsevier Motor evoked potentials (MEP) Elsevier Luber, Bruce oth Lisanby, Sarah H. oth Peterchev, Angel V. oth Enthalten in Elsevier John, Bony K. ELSEVIER Fluorescent carbon quantum dots as a novel solution and paper strip-based dual sensor for the selective detection of Cr(VI) ions 2022 basic, translational, and clinical research in neuromodulation New York, NY [u.a.] (DE-627)ELV008051100 volume:7 year:2014 number:4 pages:541-552 extent:12 https://doi.org/10.1016/j.brs.2014.03.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.79 Sonstige Werkstoffe VZ AR 7 2014 4 541-552 12 045F 610 |
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10.1016/j.brs.2014.03.002 doi GBVA2014011000014.pica (DE-627)ELV028122356 (ELSEVIER)S1935-861X(14)00115-6 DE-627 ger DE-627 rakwb eng 610 610 DE-600 550 670 VZ 51.79 bkl Goetz, Stefan M. verfasserin aut A Novel Model Incorporating Two Variability Sources for Describing Motor Evoked Potentials 2014 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Motor evoked potentials (MEPs) play a pivotal role in transcranial magnetic stimulation (TMS), e.g., for determining the motor threshold and probing cortical excitability. Sampled across the range of stimulation strengths, MEPs outline an input–output (IO) curve, which is often used to characterize the corticospinal tract. More detailed understanding of the signal generation and variability of MEPs would provide insight into the underlying physiology and aid correct statistical treatment of MEP data. Transcranial magnetic stimulation (TMS) Elsevier Dual-variability source model Elsevier Response distribution Elsevier Input–output curve (IO) Elsevier Brain stimulation Elsevier Trial-to-trial variability Elsevier Neural recruitment Elsevier Motor evoked potentials (MEP) Elsevier Luber, Bruce oth Lisanby, Sarah H. oth Peterchev, Angel V. oth Enthalten in Elsevier John, Bony K. ELSEVIER Fluorescent carbon quantum dots as a novel solution and paper strip-based dual sensor for the selective detection of Cr(VI) ions 2022 basic, translational, and clinical research in neuromodulation New York, NY [u.a.] (DE-627)ELV008051100 volume:7 year:2014 number:4 pages:541-552 extent:12 https://doi.org/10.1016/j.brs.2014.03.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.79 Sonstige Werkstoffe VZ AR 7 2014 4 541-552 12 045F 610 |
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10.1016/j.brs.2014.03.002 doi GBVA2014011000014.pica (DE-627)ELV028122356 (ELSEVIER)S1935-861X(14)00115-6 DE-627 ger DE-627 rakwb eng 610 610 DE-600 550 670 VZ 51.79 bkl Goetz, Stefan M. verfasserin aut A Novel Model Incorporating Two Variability Sources for Describing Motor Evoked Potentials 2014 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Motor evoked potentials (MEPs) play a pivotal role in transcranial magnetic stimulation (TMS), e.g., for determining the motor threshold and probing cortical excitability. Sampled across the range of stimulation strengths, MEPs outline an input–output (IO) curve, which is often used to characterize the corticospinal tract. More detailed understanding of the signal generation and variability of MEPs would provide insight into the underlying physiology and aid correct statistical treatment of MEP data. Transcranial magnetic stimulation (TMS) Elsevier Dual-variability source model Elsevier Response distribution Elsevier Input–output curve (IO) Elsevier Brain stimulation Elsevier Trial-to-trial variability Elsevier Neural recruitment Elsevier Motor evoked potentials (MEP) Elsevier Luber, Bruce oth Lisanby, Sarah H. oth Peterchev, Angel V. oth Enthalten in Elsevier John, Bony K. ELSEVIER Fluorescent carbon quantum dots as a novel solution and paper strip-based dual sensor for the selective detection of Cr(VI) ions 2022 basic, translational, and clinical research in neuromodulation New York, NY [u.a.] (DE-627)ELV008051100 volume:7 year:2014 number:4 pages:541-552 extent:12 https://doi.org/10.1016/j.brs.2014.03.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.79 Sonstige Werkstoffe VZ AR 7 2014 4 541-552 12 045F 610 |
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10.1016/j.brs.2014.03.002 doi GBVA2014011000014.pica (DE-627)ELV028122356 (ELSEVIER)S1935-861X(14)00115-6 DE-627 ger DE-627 rakwb eng 610 610 DE-600 550 670 VZ 51.79 bkl Goetz, Stefan M. verfasserin aut A Novel Model Incorporating Two Variability Sources for Describing Motor Evoked Potentials 2014 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Motor evoked potentials (MEPs) play a pivotal role in transcranial magnetic stimulation (TMS), e.g., for determining the motor threshold and probing cortical excitability. Sampled across the range of stimulation strengths, MEPs outline an input–output (IO) curve, which is often used to characterize the corticospinal tract. More detailed understanding of the signal generation and variability of MEPs would provide insight into the underlying physiology and aid correct statistical treatment of MEP data. Transcranial magnetic stimulation (TMS) Elsevier Dual-variability source model Elsevier Response distribution Elsevier Input–output curve (IO) Elsevier Brain stimulation Elsevier Trial-to-trial variability Elsevier Neural recruitment Elsevier Motor evoked potentials (MEP) Elsevier Luber, Bruce oth Lisanby, Sarah H. oth Peterchev, Angel V. oth Enthalten in Elsevier John, Bony K. ELSEVIER Fluorescent carbon quantum dots as a novel solution and paper strip-based dual sensor for the selective detection of Cr(VI) ions 2022 basic, translational, and clinical research in neuromodulation New York, NY [u.a.] (DE-627)ELV008051100 volume:7 year:2014 number:4 pages:541-552 extent:12 https://doi.org/10.1016/j.brs.2014.03.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.79 Sonstige Werkstoffe VZ AR 7 2014 4 541-552 12 045F 610 |
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A Novel Model Incorporating Two Variability Sources for Describing Motor Evoked Potentials |
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Motor evoked potentials (MEPs) play a pivotal role in transcranial magnetic stimulation (TMS), e.g., for determining the motor threshold and probing cortical excitability. Sampled across the range of stimulation strengths, MEPs outline an input–output (IO) curve, which is often used to characterize the corticospinal tract. More detailed understanding of the signal generation and variability of MEPs would provide insight into the underlying physiology and aid correct statistical treatment of MEP data. |
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Motor evoked potentials (MEPs) play a pivotal role in transcranial magnetic stimulation (TMS), e.g., for determining the motor threshold and probing cortical excitability. Sampled across the range of stimulation strengths, MEPs outline an input–output (IO) curve, which is often used to characterize the corticospinal tract. More detailed understanding of the signal generation and variability of MEPs would provide insight into the underlying physiology and aid correct statistical treatment of MEP data. |
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Motor evoked potentials (MEPs) play a pivotal role in transcranial magnetic stimulation (TMS), e.g., for determining the motor threshold and probing cortical excitability. Sampled across the range of stimulation strengths, MEPs outline an input–output (IO) curve, which is often used to characterize the corticospinal tract. More detailed understanding of the signal generation and variability of MEPs would provide insight into the underlying physiology and aid correct statistical treatment of MEP data. |
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A Novel Model Incorporating Two Variability Sources for Describing Motor Evoked Potentials |
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https://doi.org/10.1016/j.brs.2014.03.002 |
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Luber, Bruce Lisanby, Sarah H. Peterchev, Angel V. |
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Luber, Bruce Lisanby, Sarah H. Peterchev, Angel V. |
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doi_str |
10.1016/j.brs.2014.03.002 |
up_date |
2024-07-06T17:59:50.172Z |
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