Mining event-related brain dynamics.

By Scott Makeig, Stefan Debener, Julie Anne Onton, Arnaud Delorme. Trends in Cognitive Sciences, 2004

1,507 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Signal Processing

View Paper: https://www.semanticscholar.org/paper/5719bad644faf1bbd4c188ed09510f5cb07bb631

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

In Signal Processing

Citations in the corpus

Decomposing Spatiotemporal Brain Patterns into Topographic Latent Sources (2014, neutral): “Dimensionality reduction methods have a long history in EEG analysis (Lotte et al., 2007; Makeig et al., 2004).”
CLASSIFICATION OF SCHIZOPHRENIA AND BIPOLAR PATIENTS USING STATIC AND DYNAMIC RESTING-STATE FMRI BRAIN CONNECTIVITY (2016, background): “Static FNC analysis overlooks the fact that individual subjects are likely to engage in slightly different mental activities at different instances in time (Arieli et al., 1996; Makeig et al., 2004; Onton and Makeig, 2006).”
Updating P300: an integrative theory of P3a and P3b. (2007, neutral): “time (Kayser and Tenke, 2003, 2005; Makeig et al., 2004).”
Blind Source Separation and Independent Component Analysis : A Review (2004, methodology): “Every EEG electrode montage acts as a some kind of spatial filters of cortical brain activity and the BSS procedure can be considered also as spatial filter which attempt to cancel the effect of superposition of various brain activities, and estimated components represent physiologically different p”
New vistas for α-frequency band oscillations (2007, critical): “Although changes in the amplitude of a oscillations indeed seem to be involved in the continuation of sensory stimulus processing [ 14 ], we argue here that it is unfeasible to deduce in a one-track fashion that large a amplitudes correspond to inhibited or disengaged cortical states.”
Beyond ERPs: Oscillatory neuronal dynamics (2012, positive): “Makeig and his colleagues have proposed that the full brain response can be mapped onto a “event-related brain dynamic state” with the dimensions of frequency, power, and phase synchronization (Makeig et al., 2004).”
The correlative triad among aging, dopamine, and cognition: current status and future prospects. (2006, methodology): “With respect to EEG/MEG indicators of oscillatory activity, we recommend to complement traditional ERP analyses by methods that provide more direct indications of the amount of task-relevant phase resetting of ongoing oscillatory activity (Makeig et al., 2004; Gruber et al., 2005).”
Seperability of four-class motor imagery data using independent components analysis (2006, background): “First, ICA (in theory) is able to separate EEG data into physiologically and functionally discrete sources (Makeig et al 2004) and second, ICA separates the contamination of biological artifacts, e.g., eye movement and muscle activity, as well as technical artifacts such as line noise.”
Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis (2007, background): “Analysis of the dynamics of such cognitive ICA components may thus include epochs in which artifacts occur in the raw data (Makeig et al., 2004).”
Across-trial averaging of event-related EEG responses and beyond. (2008, methodology): “Independent component analysis has been used successfully by a growing number of investigators to perform blind source separation of scalp EEG [24,26].”
Blind Source Separation and Independent Component Analysis: A Review (2005, methodology): “Every EEG electrode montage acts as a some kind of spatial filters of cortical brain activity and the BSS procedure can be considered also as spatial filter which attempt to cancel the effect of superposition of various brain activities, and estimated components represent physiologically different p”
Information-based modeling of event-related brain dynamics. (2006, background): “Instead, each present a limited view of more complex event-related brain dynamics that involve changes in both spectral power and phase at one or more frequencies (Makeig et al., 2004a).”
Independent EEG Sources Are Dipolar (2012, neutral): “. In practice, we have observed that linear decomposition of high-density scalp EEG data by Independent Component Analysis (ICA) may return up to dozens of maximally independent component processes whose scalp maps are generally compatible with their generation in such a cortical patch”
Frontal Theta Links Prediction Errors to Behavioral Adaptation in Reinforcement Learning (2009, neutral): “…suggests that ERP components such as the FRN may be reflective of stimulus-driven phase realignment and power increases of ongoing oscillatory activity, rather than a singular " burst " event (Fell et al., 2004; Le Van Quyen and Bragin, 2007; Makeig et al., 2004, 2002; Sauseng et al., 2007).”
Multisensory integration: flexible use of general operations (2014, positive): “…formultisensory interactions, but rather represents a more general mechanism through which different sensory, motor, and attentional cues can modulate ongoing processing (Lakatos et al., 2013; Makeig et al., 2004; Rajkai et al., 2008; Shah et al., 2004) or memory formation (Rizzuto et al., 2003).”
Semi-automatic identification of independent components representing EEG artifact. (2009, methodology): “Over the past few years, ICA has gained considerable popularity for the processing of EEG signals (e.g., Debener et al., 2006; Makeig et al., 2004a).”
Using EEG to Predict Consumers’ Future Choices (2015, background): “Therefore, for each frequency, average event-locked deviations from the baseline activity (mean power) can be tracked (Makeig et al. 2004).”
Event-related EEG time-frequency analysis: an overview of measures and an analysis of early gamma band phase locking in schizophrenia. (2008, background): “imental events, leading to transient time- and phase locking of frequency-specific oscillations with respect to an event’s onset on trial after trial.(7,8) These phase-”