A new method for quantifying EEG event-related desynchronization: amplitude evvelope analysis

Clochon, Patrice; Fontbonne, J.M.; Lebrun, N.; Etevenon, P.

doi:10.1016/0013-4694(95)00192-1

Cited by 103 publications

(60 citation statements)

References 3 publications

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“…Summarizing, one can state that the claim made by Clochon et al (1996) that the HB-ERD has a millisecond time resolution can be definitely rejected on the basis of the present results. In terms of accuracy, HB-ERD is not superior to classical ERD with optimum block length (0.5 peri- ods), with one exception: if very high sampling frequencies are used, the HB-ERD might be somewhat better in resolving short-lasting oscillatory bursts than the block ERD methods.…”

Section: Discussionmentioning

confidence: 50%

“…Too short blocks result in an oscillating and unstable ERD, too long ones reduce the temporal resolution unnecessarily. Clochon et al (1996) have proposed an alternative way to obtain a measure that can be averaged over trials regardless of phase: the amplitude envelope analysis, based on the Hilbert transform. Fig.…”

Section: Erd Computation With Hilbert Transform (Hb-erd)mentioning

confidence: 99%

“…It has been proposed previously by Clochon et al (1996) that using a signal envelope, obtained by computing the Hilbert transform, leads to a significant improvement of the temporal resolution of the ERD. Indeed, they demonstrated both analytically and experimentally that the ERD computed in time intervals (blocks) of 250 ms is essentially a time integration of the ERD computed with the Hilbert transform (HB-ERD).…”

Section: Introductionmentioning

confidence: 99%

“…This method, which has subsequently been used repeatedly in psychophysiological research (e.g. Etévenon, 1997;Yordanova and Kolev, 1998;Kolev et al, 1999;Clochon et al, 1996), claimed that the HB-ERD has a millisecond time resolution, or at least a time resolution, which is "only restricted by the sampling rate" (Clochon et al, 1996;p. 126).…”

Section: Introductionmentioning

confidence: 99%

“…A number of questions are relevant for this purpose, which will be answered by computing the ERD on simulated data, using realistic signal-to-noise ratios (SNR). First, and perhaps most importantly, the claim of Clochon et al (1996) that HB-ERD has a better time resolution than 'classical' ERD, i.e. ERD computed with blocks of predefined length, has to be thoroughly evaluated.…”

Section: Introductionmentioning

confidence: 99%

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On the time resolution of event-related desynchronization: a simulation study

Knösche

Bastiaansen

2002

Clinical Neurophysiology

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Objectives: To investigate the time resolution of different methods for the computation of event-related desynchronization/synchronization (ERD/ERS), including one based on Hilbert transform.Methods: In order to better understand the time resolution of ERD/ERS, which is a function of factors such as the exact computation method, the frequency under study, the number of trials, and the sampling frequency, we simulated sudden changes in oscillation amplitude as well as very short and closely spaced events.Results: Hilbert-based ERD yields very similar results to ERD integrated over predefined time intervals (block ERD), if the block length is half the period length of the studied frequency. ERD predicts the onset of a change in oscillation amplitude with an error margin of only 10-30 ms. On the other hand, the time the ERD response needs to climb to its full height after a sudden change in oscillation amplitude is quite long, i.e. between 200 and 500 ms. With respect to sensitivity to short oscillatory events, the ratio between sampling frequency and electroencephalographic frequency band plays a major role.Conclusions: (1) The optimal time interval for the computation of block ERD is half a period of the frequency under investigation. (2) Due to the slow impulse response, amplitude effects in the ERD may in reality be caused by duration differences. (3) Although ERD based on the Hilbert transform does not yield any significant advantages over classical ERD in terms of time resolution, it has some important practical advantages. q

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Section: Discussionmentioning

confidence: 50%

Section: Erd Computation With Hilbert Transform (Hb-erd)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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On the time resolution of event-related desynchronization: a simulation study

Knösche

Bastiaansen

2002

Clinical Neurophysiology

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Intact memory storage but impaired retrieval in visual memory in autism: New insights from an electrophysiological study

et al. 2022

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In a recent study on visual episodic memory (Desaunay, Clochon, et al., 2020), we have shown event‐related potentials (ERPs) differences associated with priming (150–300 msec), familiarity (350–470 msec), and recollection (600–700 msec), in young people with autism spectrum disorders (ASD) compared with typical development (TD). To go further into the study of the processes of storage and retrieval of the memory trace, we re‐analyzed Desaunay, Clochon, et al's data using time‐frequency analysis, that is, event‐related synchronization and desynchronization (ERS/ERD). This allows a decomposition of the spectral power within frequency bands associated with these ERPs. We focused both on the same time windows and the same regions of interest as previously published. We mainly identified, in ASD compared with TD, reduced ERS in low‐frequencies (delta, theta) in early time‐windows, and non‐significant differences in ERD in higher frequencies (alpha, beta1) in all time‐windows. Reduced ERS during recognition confirmed previously reported diminution of priming effects and difficulties in manipulation and retrieval of both semantic and episodic information. Conversely, preserved ERD corroborates a preservation of memory storage processes. These observations are consistent with a cognitive model of memory in ASD, that suggests difficulties in cognitive operations or executive demand at retrieval, subsequent to successful long‐term storage of information. Lay Summary We assessed the EEG synchronization and desynchronization, during visual episodic recognition. We observed, in youth with Autism, reduced synchronization in low‐frequencies (delta, theta), suggesting reduced access to and manipulation of long‐term stored information. By contrast, non‐significant differences in desynchronization at higher frequencies (alpha, beta frequency bands), that support long‐term stored semantic and episodic information, suggested preserved memory traces.

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Nonlinear phase desynchronization in human electroencephalographic data

Breakspear¹

2002

Human Brain Mapping

108

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Ensembles of coupled nonlinear systems represent natural candidates for the modeling of brain dynamics. The objective of this study is to examine the complex signal produced by coupled chaotic attractors, to discuss their potential relevance to distributed processes in the brain, and to illustrate a method of detecting their contribution to human EEG morphology. Two measures of quantifying the behavior of coupled nonlinear systems are presented: a measure of phase synchrony and a novel measure of intermittent phase desynchronization. These are used to quantify the behavior of numerical examples of coupled chaotic attractors. Experimental evidence of their contribution to the morphology of the human alpha rhythm is then illustrated in a study of EEG recordings from 40 healthy human subjects. Amplitude-adjusted phase-randomized surrogate data is used to test the null hypothesis that the observed patterns of phase coherence can be described by purely linear methods. Statistical analysis reveals that this null hypothesis can be robustly rejected in a small number (approximately 4%) of EEG epochs. These findings are discussed with reference to the adaptive function and complex dynamics of the brain.

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A new method for quantifying EEG event-related desynchronization: amplitude evvelope analysis

Cited by 103 publications

References 3 publications

On the time resolution of event-related desynchronization: a simulation study

On the time resolution of event-related desynchronization: a simulation study

Intact memory storage but impaired retrieval in visual memory in autism: New insights from an electrophysiological study

Nonlinear phase desynchronization in human electroencephalographic data

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