On the Statistical Significance of Event-Related EEG Desynchronization and Synchronization in the Time-Frequency Plane

Durka, P.J.; Żygierewicz, Jarosław; Klekowicz, H.; Ginter, J.; Blinowska, Katarzyna J.

doi:10.1109/tbme.2004.827341

Cited by 91 publications

(87 citation statements)

References 13 publications

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“…To assess the group-level significance of the SEP waveforms obtained in the different conditions, a bootstrapping method was used to compare the signal amplitude within the poststimulus interval to the signal amplitude within the prestimulus interval (Delorme and Makeig 2004;Durka et al 2004;Hu et al 2012). To address the problem of multiple comparisons, the significance level was corrected by a false discovery rate (FDR) procedure (Durka et al 2004).…”

Section: Methodsmentioning

confidence: 99%

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Unmasking the obligatory components of nociceptive event-related brain potentials

Mouraux

Paepe

Marot

et al. 2013

Journal of Neurophysiology

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-It has been hypothesized that the human cortical responses to nociceptive and nonnociceptive somatosensory inputs differ. Supporting this view, somatosensory-evoked potentials (SEPs) elicited by thermal nociceptive stimuli have been suggested to originate from areas 1 and 2 of the contralateral primary somatosensory (S1), operculo-insular, and cingulate cortices, whereas the early components of nonnociceptive SEPs mainly originate from area 3b of S1. However, to avoid producing a burn lesion, and sensitize or fatigue nociceptors, thermonociceptive SEPs are typically obtained by delivering a small number of stimuli with a large and variable interstimulus interval (ISI). In contrast, the early components of nonnociceptive SEPs are usually obtained by applying many stimuli at a rapid rate. Hence, previously reported differences between nociceptive and nonnociceptive SEPs could be due to differences in signal-to-noise ratio and/or differences in the contribution of cognitive processes related, for example, to arousal and attention. Here, using intraepidermal electrical stimulation to selectively activate A␦-nociceptors at a fast and constant 1-s ISI, we found that the nociceptive SEPs obtained with a long ISI are no longer identified, indicating that these responses are not obligatory for nociception. Furthermore, using a blind source separation, we found that, unlike the obligatory components of nonnociceptive SEPs, the obligatory components of nociceptive SEPs do not receive a significant contribution from a contralateral source possibly originating from S1. Instead, they were best explained by sources compatible with bilateral operculo-insular and/or cingulate locations. Taken together, our results indicate that the obligatory components of nociceptive and nonnociceptive SEPs are fundamentally different.pain; nociception; event-related potentials; primary somatosensory cortex; laser-evoked potentials; intraepidermal stimulation FOR THE PAST 30 YEARS, a large number of studies have aimed at understanding the neural mechanisms underlying the processing of nociceptive input and the perception of pain in the human cortex. Most of these studies have relied on noninvasive techniques to sample brain activity, such as electroencephalography (EEG), magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), and positron emission tomography (PET) (Bushnell and Apkarian 2005;Garcia-Larrea et al. 2003;Kakigi et al. 2005;Peyron et al. 2002;Treede et al. 1999). With these techniques, it has been shown repeatedly that nociceptive stimuli elicit responses in a wide array of brain areas, including postcentral, operculo-insular, and cingulate areas. A number of investigators have considered that the combined activation of these brain regions is responsible for the transformation of nociceptive input into a conscious perception of pain, in particular, the coding of pain intensity and pain unpleasantness (Boly et al.

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Section: Methodsmentioning

confidence: 99%

“…To address the problem of multiple comparisons, the significance level was corrected by a false discovery rate (FDR) procedure (Durka et al 2004). In addition, short-lasting epochs (Ͻ10 consecutive time bins) were discarded.…”

Section: Methodsmentioning

confidence: 99%

Unmasking the obligatory components of nociceptive event-related brain potentials

Mouraux

Paepe

Marot

et al. 2013

Journal of Neurophysiology

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“…event-related causality (ERC), new statistical methodology was developed for comparing prestimulus (baseline) with poststimulus SdDTF values. The main difference between this methodology and other statistical methods [Durka et al, 2004;Ginter et al, 2005;Tanji et al, 2005;Zygierewicz et al, 2005] is that both the baseline and poststimulus epochs are treated as nonstationary. To construct a joint 95% confidence interval, bivariate smoothing was applied using a penalized thinplate spline model [Ruppert et al, 2003], while the FamilyWise Error Rate (FWER) was controlled using the Bonferroni correction.…”

Section: Introductionmentioning

confidence: 99%

Dynamics of event‐related causality in brain electrical activity

Korzeniewska

Crainiceanu

Kuś

et al. 2007

Human Brain Mapping

118

152

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A new method (Event-Related Causality, ERC) is proposed for the investigation of functional interactions between brain regions during cognitive processing. ERC estimates the direction, intensity, spectral content, and temporal course of brain activity propagation within a cortical network. ERC is based upon the short-time directed transfer function (SDTF), which is measured in short EEG epochs during multiple trials of a cognitive task, as well as the direct directed transfer function (dDTF), which distinguishes direct interactions between brain regions from indirect interactions via brain regions. ERC uses new statistical methods for comparing estimates of causal interactions during prestimulus "baseline" epochs and during poststimulus "activated" epochs in order to estimate event-related increases and decreases in the functional interactions between cortical network components during cognitive tasks. The utility of the ERC approach is demonstrated through its application to human electrocorticographic recordings (ECoG) of a simple language task. ERC analyses of these ECoG recordings reveal frequency-dependent interactions, particularly in high gamma (>60 Hz) frequencies, between brain regions known to participate in the recorded language task, and the temporal evolution of these interactions is consistent with the putative processing stages of this task. The method may be a useful tool for investigating the dynamics of causal interactions between various brain regions during cognitive task performance.

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“…We used stimulus-nonrelated subepochs within the resting condition series, distant enough (-1.4 s) from the stimulus onset, not including event-related properties, and exceeding the period of the lowest frequency studied in the signal (1.5 Hz, 0.67 s). We preselected trials by applying a bootstrap estimation within the reference period and a false discovery rate correction for multiple comparisons (0.05) to the available data across the indexes corresponding to time and number of the trial, eliminating the need for a strict assumption of ergodicity (Durka et al, 2004).…”

Section: Eeg Recordingmentioning

confidence: 99%

Brain Event - Related Oscillations in Parkinsonian Patients During Discrimination Task Conditions

Dushanova¹

2011

Diagnostics and Rehabilitation of Parkinson's Disease

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On the Statistical Significance of Event-Related EEG Desynchronization and Synchronization in the Time-Frequency Plane

Cited by 91 publications

References 13 publications

Unmasking the obligatory components of nociceptive event-related brain potentials

Unmasking the obligatory components of nociceptive event-related brain potentials

Dynamics of event‐related causality in brain electrical activity

Brain Event - Related Oscillations in Parkinsonian Patients During Discrimination Task Conditions

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