Event-related EEG/MEG synchronization and desynchronization: basic principles

Pfurtscheller, Gert; Silva, F.H. Lopes da

doi:10.1016/s1388-2457(99)00141-8

Cited by 6,111 publications

(5,173 citation statements)

References 102 publications

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“…A transient change in the power of a given frequency band is called event‐related synchronization (ERS) or event‐related desynchronization (ERD) according to whether it reflects an increase or decrease, respectively, in the synchrony of the underlying neuronal populations. ERD/ERS may occur due to changes in parameters that control oscillations in neuronal networks and can be viewed as being generated by changes in the activity of local interactions that control the frequency of the ongoing EEG [Pfurtscheller and Lopes da Silva, 1999]. …”

Section: Methodsmentioning

confidence: 99%

Neural correlates of spatial and nonspatial attention determined using intracranial electroencephalographic signals in humans

Park

Kim

Park

et al. 2016

Human Brain Mapping

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Few studies have directly compared the neural correlates of spatial attention (i.e., attention to a particular location) and nonspatial attention (i.e., attention to a feature in the visual scene) using well‐controlled tasks. Here, we investigated the neural correlates of spatial and nonspatial attention in humans using intracranial electroencephalography. The topography and number of electrodes showing significant event‐related desynchronization (ERD) or event‐related synchronization (ERS) in different frequency bands were studied in 13 epileptic patients. Performance was not significantly different between the two conditions. In both conditions, ERD in the low‐frequency bands and ERS in the high‐frequency bands were present bilaterally in the parietal cortex (prominently on the right hemisphere) and frontal regions. In addition to these common changes, spatial attention involved right‐lateralized activity that was maximal in the right superior parietal lobule (SPL), whereas nonspatial attention involved wider brain networks including the bilateral parietal, frontal, and temporal regions, but still had maximal activity in the right parietal lobe. Within the parietal lobe, spatial attention involved ERD or ERS in the right SPL, whereas nonspatial attention involved ERD or ERS in the right inferior parietal lobule. These findings reveal that common as well as different brain networks are engaged in spatial and nonspatial attention. Hum Brain Mapp 37:3041–3054, 2016. © 2016 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.

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Section: Methodsmentioning

confidence: 99%

Neural correlates of spatial and nonspatial attention determined using intracranial electroencephalographic signals in humans

Park

Kim

Park

et al. 2016

Human Brain Mapping

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“…Although the alpha rhythm was historically considered to reflect a idling cortical state, recent studies suggest that alpha oscillations serve as an attentional mechanism for focusing on relevant stimuli either by increasing signal-to-noise ratios within the cortex or through inhibition of unnecessary and/or conflicting processes to the task in hand [50,51]. Thus, alpha would increase gradually over time during a decision task, such as mate choice, which requires time to collect and process input information with high signal-tonoise ratios, as occurs in the left mesencephalon of Babina females.…”

Section: Rea As a Mechanism For Processing Acoustic Stimulimentioning

confidence: 99%

Right ear advantage for vocal communication in frogs results from both structural asymmetry and attention modulation

Fang

Xue

Cui

et al. 2014

Behavioural Brain Research

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“…This phenomenon is known as eventrelated synchronisation (ERS) in frequency bands showing an evoked increase in power, or conversely, event-related desynchronisation (ERD) for decreases (Basar, 1980;Pfurtscheller and Lopes da Silva, 1999). In light of the above connectivity-dependent changes in power, ERD and ERS may reflect the dynamics induced by evoked changes in short-term plasticity.…”

Section: Induced Vs Evoked Dynamicsmentioning

confidence: 99%

Modelling event-related responses in the brain

2005

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The aim of this work was to investigate the mechanisms that shape evoked electroencephalographic (EEG) and magneto-encephalographic (MEG) responses. We used a neuronally plausible model to characterise the dependency of response components on the models parameters. This generative model was a neural mass model of hierarchically arranged areas using three kinds of inter-area connections (forward, backward and lateral). We investigated how responses, at each level of a cortical hierarchy, depended on the strength of connections or coupling. Our strategy was to systematically add connections and examine the responses of each successive architecture. We did this in the context of deterministic responses and then with stochastic spontaneous activity. Our aim was to show, in a simple way, how event-related dynamics depend on extrinsic connectivity. To emphasise the importance of nonlinear interactions, we tried to disambiguate the components of event-related potentials (ERPs) or event-related fields (ERFs) that can be explained by a linear superposition of trial-specific responses and those engendered nonlinearly (e.g., by phase-resetting). Our key conclusions were; (i) when forward connections, mediating bottom-up or extrinsic inputs, are sufficiently strong, nonlinear mechanisms cause a saturation of excitatory interneuron responses. This endows the system with an inherent stability that precludes nondissipative population dynamics. (ii) The duration of evoked transients increases with the hierarchical depth or level of processing. (iii) When backward connections are added, evoked transients become more protracted, exhibiting damped oscillations. These are formally identical to late or endogenous components seen empirically. This suggests that late components are mediated by reentrant dynamics within cortical hierarchies. (iv) Bilateral connections produce similar effects to backward connections but can also mediate zero-lag phase-locking among areas. (v) Finally, with spontaneous activity, ERPs/ERFs can arise from two distinct mechanisms: For low levels of (stimulus related and ongoing) activity, the systems response conforms to a quasi-linear superposition of separable responses to the fixed and stochastic inputs. This is consistent with classical assumptions that motivate trial averaging to suppress spontaneous activity and disclose the ERP/ ERF. However, when activity is sufficiently high, there are nonlinear interactions between the fixed and stochastic inputs. This interaction is expressed as a phase-resetting and represents a qualitatively different explanation for the ERP/ERF. D 2004 Elsevier Inc. All rights reserved.Keywords: Electroencephalography; Magnetoencephalography; Neural networks; Nonlinear dynamics; Causal modelling IntroductionClassical event-related potentials (ERPs) and event-related fields (ERFs) have been used for decades as putative electrophysiological correlates of perceptual and cognitive operations. However, the exact neurobiological mechanisms underlying their generation are largely unk...

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Event-related EEG/MEG synchronization and desynchronization: basic principles

Cited by 6,111 publications

References 102 publications

Neural correlates of spatial and nonspatial attention determined using intracranial electroencephalographic signals in humans

Neural correlates of spatial and nonspatial attention determined using intracranial electroencephalographic signals in humans

Right ear advantage for vocal communication in frogs results from both structural asymmetry and attention modulation

Modelling event-related responses in the brain

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