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Multiple linear regression to estimate time-frequency electrophysiological responses in single trials.

Hu L, Zhang ZG, Mouraux A, Iannetti GD - Neuroimage (2015)

Bottom Line: Transient sensory, motor or cognitive event elicit not only phase-locked event-related potentials (ERPs) in the ongoing electroencephalogram (EEG), but also induce non-phase-locked modulations of ongoing EEG oscillations.ERD and ERS reflect changes in the parameters that control oscillations in neuronal networks and, depending on the frequency at which they occur, represent neuronal mechanisms involved in cortical activation, inhibition and binding.This permits within-subject statistical comparisons, correlation with pre-stimulus features, and integration of simultaneously-recorded EEG and fMRI.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory of Cognition and Personality (Ministry of Education) and Faculty of Psychology, Southwest University, Chongqing, China; Department of Neuroscience, Physiology and Pharmacology, University College London, UK. Electronic address: huli@swu.edu.cn.

No MeSH data available.


Related in: MedlinePlus

Comparison of single-trial magnitudes estimated using TF-MLR and TF-MLRd of LEP trials and resting EEG trials.Single-trial magnitudes of ERP (left), ERD (middle), and ERS (right) estimated using TF-MLR (blue) and TF-MLRd (red) from LEP trials (palisaded) and resting EEG trials (filled). For both TF-MLR and TF-MLRd, the magnitudes of ERP, ERD and ERS estimated from resting EEG trials are not significantly different from zero (p > 0.05 for all comparisons; one sample t test). Whereas the single-trial magnitudes of ERD estimated from LEP trials using TF-MLR and TF-MLRd are not significantly different, the single-trial magnitudes of ERP and ERS estimated from LEP trials using TF-MLR were significantly smaller than those estimated using TF-MLRd (p < 0.01 for both comparisons, paired sample t test).
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f0030: Comparison of single-trial magnitudes estimated using TF-MLR and TF-MLRd of LEP trials and resting EEG trials.Single-trial magnitudes of ERP (left), ERD (middle), and ERS (right) estimated using TF-MLR (blue) and TF-MLRd (red) from LEP trials (palisaded) and resting EEG trials (filled). For both TF-MLR and TF-MLRd, the magnitudes of ERP, ERD and ERS estimated from resting EEG trials are not significantly different from zero (p > 0.05 for all comparisons; one sample t test). Whereas the single-trial magnitudes of ERD estimated from LEP trials using TF-MLR and TF-MLRd are not significantly different, the single-trial magnitudes of ERP and ERS estimated from LEP trials using TF-MLR were significantly smaller than those estimated using TF-MLRd (p < 0.01 for both comparisons, paired sample t test).

Mentions: Detection bias. To test whether the methods (TF-MLR and TF-MLRd) used to estimate single-trial magnitude of ERP, ERS and ERD introduced any detection bias, they were applied to an equal number of resting EEG epochs obtained from all subjects. When estimated using TF-MLR approach, the mean (± SEM) of single-trial estimate of response magnitude in resting EEG epochs were 0.15 ± 0.12 μV, − 0.09 ± 0.21 μV, and − 0.06 ± 0.14 μV for ERP, ERD, and ERS. These magnitude values were not significantly different from zero (ERP: p = 0.24; ERD: p = 0.69; ERS: p = 0.68, one sample t test). When estimated using the TF-MLRd approach, the mean (± SEM) single-trial estimate of response magnitude in resting EEG epochs were 0.19 ± 0.14 μV, − 0.04 ± 0.20 μV, and 0.001 ± 0.14 μV for ERP, ERD, and ERS. These magnitude values were not significantly different from zero (ERP: p = 0.22; ERD: p = 0.83; ERS: p = 0.99, one sample t test). These results clearly show that both TF-MLR and TF-MLRd approaches provide an unbiased estimate of single-trial magnitude of ERP, ERS and ERD. A comparison of the single-trial magnitude values obtained from LEP trials vs. the resting EEG trials using the two approaches is shown in Fig. 6.


Multiple linear regression to estimate time-frequency electrophysiological responses in single trials.

Hu L, Zhang ZG, Mouraux A, Iannetti GD - Neuroimage (2015)

Comparison of single-trial magnitudes estimated using TF-MLR and TF-MLRd of LEP trials and resting EEG trials.Single-trial magnitudes of ERP (left), ERD (middle), and ERS (right) estimated using TF-MLR (blue) and TF-MLRd (red) from LEP trials (palisaded) and resting EEG trials (filled). For both TF-MLR and TF-MLRd, the magnitudes of ERP, ERD and ERS estimated from resting EEG trials are not significantly different from zero (p > 0.05 for all comparisons; one sample t test). Whereas the single-trial magnitudes of ERD estimated from LEP trials using TF-MLR and TF-MLRd are not significantly different, the single-trial magnitudes of ERP and ERS estimated from LEP trials using TF-MLR were significantly smaller than those estimated using TF-MLRd (p < 0.01 for both comparisons, paired sample t test).
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f0030: Comparison of single-trial magnitudes estimated using TF-MLR and TF-MLRd of LEP trials and resting EEG trials.Single-trial magnitudes of ERP (left), ERD (middle), and ERS (right) estimated using TF-MLR (blue) and TF-MLRd (red) from LEP trials (palisaded) and resting EEG trials (filled). For both TF-MLR and TF-MLRd, the magnitudes of ERP, ERD and ERS estimated from resting EEG trials are not significantly different from zero (p > 0.05 for all comparisons; one sample t test). Whereas the single-trial magnitudes of ERD estimated from LEP trials using TF-MLR and TF-MLRd are not significantly different, the single-trial magnitudes of ERP and ERS estimated from LEP trials using TF-MLR were significantly smaller than those estimated using TF-MLRd (p < 0.01 for both comparisons, paired sample t test).
Mentions: Detection bias. To test whether the methods (TF-MLR and TF-MLRd) used to estimate single-trial magnitude of ERP, ERS and ERD introduced any detection bias, they were applied to an equal number of resting EEG epochs obtained from all subjects. When estimated using TF-MLR approach, the mean (± SEM) of single-trial estimate of response magnitude in resting EEG epochs were 0.15 ± 0.12 μV, − 0.09 ± 0.21 μV, and − 0.06 ± 0.14 μV for ERP, ERD, and ERS. These magnitude values were not significantly different from zero (ERP: p = 0.24; ERD: p = 0.69; ERS: p = 0.68, one sample t test). When estimated using the TF-MLRd approach, the mean (± SEM) single-trial estimate of response magnitude in resting EEG epochs were 0.19 ± 0.14 μV, − 0.04 ± 0.20 μV, and 0.001 ± 0.14 μV for ERP, ERD, and ERS. These magnitude values were not significantly different from zero (ERP: p = 0.22; ERD: p = 0.83; ERS: p = 0.99, one sample t test). These results clearly show that both TF-MLR and TF-MLRd approaches provide an unbiased estimate of single-trial magnitude of ERP, ERS and ERD. A comparison of the single-trial magnitude values obtained from LEP trials vs. the resting EEG trials using the two approaches is shown in Fig. 6.

Bottom Line: Transient sensory, motor or cognitive event elicit not only phase-locked event-related potentials (ERPs) in the ongoing electroencephalogram (EEG), but also induce non-phase-locked modulations of ongoing EEG oscillations.ERD and ERS reflect changes in the parameters that control oscillations in neuronal networks and, depending on the frequency at which they occur, represent neuronal mechanisms involved in cortical activation, inhibition and binding.This permits within-subject statistical comparisons, correlation with pre-stimulus features, and integration of simultaneously-recorded EEG and fMRI.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory of Cognition and Personality (Ministry of Education) and Faculty of Psychology, Southwest University, Chongqing, China; Department of Neuroscience, Physiology and Pharmacology, University College London, UK. Electronic address: huli@swu.edu.cn.

No MeSH data available.


Related in: MedlinePlus