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Kstest2, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Cortical oscillations associated with dyskinesia are tuned to 80 Hz. A, Example of power trend analyses of resonant oscillations during dyskinesia. Top, Signal-to-(pink)noise ratio (SNR) in the γ80 band following levodopa injection at 0 min (SNR >3 dB shown in bold). Bottom, Peak oscillation frequency as a function of time (red, exponential function fitted to the 30 min following oscillation onset, defined as SNR >3 dB; fitting period indicated in bold; goodness-of-fit, 0.02 Hz2). B, Exponential functions fitted to 20 different recordings, aligned to oscillation onset (goodness-of-fit, 0.03 ± 0.01 Hz2); note the very similar time-frequency relation in all experiments. C, Coupling strength between LFP signals recorded from different electrodes in the motor cortex of the lesioned hemisphere as estimated from measures of coherence in two different frequency bands, plotted as a function of electrode separation (OFF and ON levodopa in black and red, respectively). Note the significantly increased LFP coupling strength in the 80 Hz band (γ80, left) in the dyskinetic state (rOFF = −0.21, rON = −0.11, p ≪ 0.001, two-sample <t>Kolmogorov–Smirnov</t> goodness-of-fit hypothesis test). Right, The θ band (4–12 Hz) included as a reference; in contrast to the γ80, θ coupling was stronger in the non-dyskinetic state (rOFF = −0.14, rON = −0.18, p < 0.001). Calculations were performed for a 5 min period during baseline and dyskinesia, respectively. The median (solid line) and the 25th and 75th percentile (shaded area) are shown for all recordings (n = 18).
Kstest2 Function In, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Cortical oscillations associated with dyskinesia are tuned to 80 Hz. A, Example of power trend analyses of resonant oscillations during dyskinesia. Top, Signal-to-(pink)noise ratio (SNR) in the γ80 band following levodopa injection at 0 min (SNR >3 dB shown in bold). Bottom, Peak oscillation frequency as a function of time (red, exponential function fitted to the 30 min following oscillation onset, defined as SNR >3 dB; fitting period indicated in bold; goodness-of-fit, 0.02 Hz2). B, Exponential functions fitted to 20 different recordings, aligned to oscillation onset (goodness-of-fit, 0.03 ± 0.01 Hz2); note the very similar time-frequency relation in all experiments. C, Coupling strength between LFP signals recorded from different electrodes in the motor cortex of the lesioned hemisphere as estimated from measures of coherence in two different frequency bands, plotted as a function of electrode separation (OFF and ON levodopa in black and red, respectively). Note the significantly increased LFP coupling strength in the 80 Hz band (γ80, left) in the dyskinetic state (rOFF = −0.21, rON = −0.11, p ≪ 0.001, two-sample <t>Kolmogorov–Smirnov</t> goodness-of-fit hypothesis test). Right, The θ band (4–12 Hz) included as a reference; in contrast to the γ80, θ coupling was stronger in the non-dyskinetic state (rOFF = −0.14, rON = −0.18, p < 0.001). Calculations were performed for a 5 min period during baseline and dyskinesia, respectively. The median (solid line) and the 25th and 75th percentile (shaded area) are shown for all recordings (n = 18).
Function Kstest2.M, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Cortical oscillations associated with dyskinesia are tuned to 80 Hz. A, Example of power trend analyses of resonant oscillations during dyskinesia. Top, Signal-to-(pink)noise ratio (SNR) in the γ80 band following levodopa injection at 0 min (SNR >3 dB shown in bold). Bottom, Peak oscillation frequency as a function of time (red, exponential function fitted to the 30 min following oscillation onset, defined as SNR >3 dB; fitting period indicated in bold; goodness-of-fit, 0.02 Hz2). B, Exponential functions fitted to 20 different recordings, aligned to oscillation onset (goodness-of-fit, 0.03 ± 0.01 Hz2); note the very similar time-frequency relation in all experiments. C, Coupling strength between LFP signals recorded from different electrodes in the motor cortex of the lesioned hemisphere as estimated from measures of coherence in two different frequency bands, plotted as a function of electrode separation (OFF and ON levodopa in black and red, respectively). Note the significantly increased LFP coupling strength in the 80 Hz band (γ80, left) in the dyskinetic state (rOFF = −0.21, rON = −0.11, p ≪ 0.001, two-sample <t>Kolmogorov–Smirnov</t> goodness-of-fit hypothesis test). Right, The θ band (4–12 Hz) included as a reference; in contrast to the γ80, θ coupling was stronger in the non-dyskinetic state (rOFF = −0.14, rON = −0.18, p < 0.001). Calculations were performed for a 5 min period during baseline and dyskinesia, respectively. The median (solid line) and the 25th and 75th percentile (shaded area) are shown for all recordings (n = 18).
Function Kstest 2, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc kstest2.m function
Cortical oscillations associated with dyskinesia are tuned to 80 Hz. A, Example of power trend analyses of resonant oscillations during dyskinesia. Top, Signal-to-(pink)noise ratio (SNR) in the γ80 band following levodopa injection at 0 min (SNR >3 dB shown in bold). Bottom, Peak oscillation frequency as a function of time (red, exponential function fitted to the 30 min following oscillation onset, defined as SNR >3 dB; fitting period indicated in bold; goodness-of-fit, 0.02 Hz2). B, Exponential functions fitted to 20 different recordings, aligned to oscillation onset (goodness-of-fit, 0.03 ± 0.01 Hz2); note the very similar time-frequency relation in all experiments. C, Coupling strength between LFP signals recorded from different electrodes in the motor cortex of the lesioned hemisphere as estimated from measures of coherence in two different frequency bands, plotted as a function of electrode separation (OFF and ON levodopa in black and red, respectively). Note the significantly increased LFP coupling strength in the 80 Hz band (γ80, left) in the dyskinetic state (rOFF = −0.21, rON = −0.11, p ≪ 0.001, two-sample <t>Kolmogorov–Smirnov</t> goodness-of-fit hypothesis test). Right, The θ band (4–12 Hz) included as a reference; in contrast to the γ80, θ coupling was stronger in the non-dyskinetic state (rOFF = −0.14, rON = −0.18, p < 0.001). Calculations were performed for a 5 min period during baseline and dyskinesia, respectively. The median (solid line) and the 25th and 75th percentile (shaded area) are shown for all recordings (n = 18).
Kstest2.M Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Cortical oscillations associated with dyskinesia are tuned to 80 Hz. A, Example of power trend analyses of resonant oscillations during dyskinesia. Top, Signal-to-(pink)noise ratio (SNR) in the γ80 band following levodopa injection at 0 min (SNR >3 dB shown in bold). Bottom, Peak oscillation frequency as a function of time (red, exponential function fitted to the 30 min following oscillation onset, defined as SNR >3 dB; fitting period indicated in bold; goodness-of-fit, 0.02 Hz2). B, Exponential functions fitted to 20 different recordings, aligned to oscillation onset (goodness-of-fit, 0.03 ± 0.01 Hz2); note the very similar time-frequency relation in all experiments. C, Coupling strength between LFP signals recorded from different electrodes in the motor cortex of the lesioned hemisphere as estimated from measures of coherence in two different frequency bands, plotted as a function of electrode separation (OFF and ON levodopa in black and red, respectively). Note the significantly increased LFP coupling strength in the 80 Hz band (γ80, left) in the dyskinetic state (rOFF = −0.21, rON = −0.11, p ≪ 0.001, two-sample <t>Kolmogorov–Smirnov</t> goodness-of-fit hypothesis test). Right, The θ band (4–12 Hz) included as a reference; in contrast to the γ80, θ coupling was stronger in the non-dyskinetic state (rOFF = −0.14, rON = −0.18, p < 0.001). Calculations were performed for a 5 min period during baseline and dyskinesia, respectively. The median (solid line) and the 25th and 75th percentile (shaded area) are shown for all recordings (n = 18).
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Cortical oscillations associated with dyskinesia are tuned to 80 Hz. A, Example of power trend analyses of resonant oscillations during dyskinesia. Top, Signal-to-(pink)noise ratio (SNR) in the γ80 band following levodopa injection at 0 min (SNR >3 dB shown in bold). Bottom, Peak oscillation frequency as a function of time (red, exponential function fitted to the 30 min following oscillation onset, defined as SNR >3 dB; fitting period indicated in bold; goodness-of-fit, 0.02 Hz2). B, Exponential functions fitted to 20 different recordings, aligned to oscillation onset (goodness-of-fit, 0.03 ± 0.01 Hz2); note the very similar time-frequency relation in all experiments. C, Coupling strength between LFP signals recorded from different electrodes in the motor cortex of the lesioned hemisphere as estimated from measures of coherence in two different frequency bands, plotted as a function of electrode separation (OFF and ON levodopa in black and red, respectively). Note the significantly increased LFP coupling strength in the 80 Hz band (γ80, left) in the dyskinetic state (rOFF = −0.21, rON = −0.11, p ≪ 0.001, two-sample Kolmogorov–Smirnov goodness-of-fit hypothesis test). Right, The θ band (4–12 Hz) included as a reference; in contrast to the γ80, θ coupling was stronger in the non-dyskinetic state (rOFF = −0.14, rON = −0.18, p < 0.001). Calculations were performed for a 5 min period during baseline and dyskinesia, respectively. The median (solid line) and the 25th and 75th percentile (shaded area) are shown for all recordings (n = 18).

Journal: The Journal of Neuroscience

Article Title: Levodopa-Induced Dyskinesia Is Strongly Associated with Resonant Cortical Oscillations

doi: 10.1523/JNEUROSCI.3047-12.2012

Figure Lengend Snippet: Cortical oscillations associated with dyskinesia are tuned to 80 Hz. A, Example of power trend analyses of resonant oscillations during dyskinesia. Top, Signal-to-(pink)noise ratio (SNR) in the γ80 band following levodopa injection at 0 min (SNR >3 dB shown in bold). Bottom, Peak oscillation frequency as a function of time (red, exponential function fitted to the 30 min following oscillation onset, defined as SNR >3 dB; fitting period indicated in bold; goodness-of-fit, 0.02 Hz2). B, Exponential functions fitted to 20 different recordings, aligned to oscillation onset (goodness-of-fit, 0.03 ± 0.01 Hz2); note the very similar time-frequency relation in all experiments. C, Coupling strength between LFP signals recorded from different electrodes in the motor cortex of the lesioned hemisphere as estimated from measures of coherence in two different frequency bands, plotted as a function of electrode separation (OFF and ON levodopa in black and red, respectively). Note the significantly increased LFP coupling strength in the 80 Hz band (γ80, left) in the dyskinetic state (rOFF = −0.21, rON = −0.11, p ≪ 0.001, two-sample Kolmogorov–Smirnov goodness-of-fit hypothesis test). Right, The θ band (4–12 Hz) included as a reference; in contrast to the γ80, θ coupling was stronger in the non-dyskinetic state (rOFF = −0.14, rON = −0.18, p < 0.001). Calculations were performed for a 5 min period during baseline and dyskinesia, respectively. The median (solid line) and the 25th and 75th percentile (shaded area) are shown for all recordings (n = 18).

Article Snippet: Parameters in different groups, e.g., referring to baseline and dyskinesia, were compared using the two-sample Kolmogorov–Smirnov test (kstest2 function in Matlab, MathWorks) or the two-sided Mann–Whitney U test (ranksum function in Matlab).

Techniques: Injection