Frontal midline EEG dynamics during working memory

By Julie Anne Onton, Arnaud Delorme, Scott Makeig. NeuroImage, 2005

878 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/445e7ad05f4501f8eade8745266089f2f3550a06

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In Cognitive Neuroscience

Citations in the corpus

Frontal Midline Theta Oscillations during Working Memory Maintenance and Episodic Encoding and Retrieval (2013, neutral): “Source modeling based on scalp EEG and MEG data (Asada et al., 1999; Gevins et al., 1997; Ishii et al., 1999; Meltzer et al., 2007; Onton et al., 2005) suggests that FMT could be generated by sources in the anterior cingulate (ACC) and medial prefrontal cortex (mPFC).”
The ups and downs of β oscillations in sensorimotor cortex. (2013, neutral): “Short-term memory has been associated with increases of beta power in occipital, parietal, and (pre-)frontal areas (e.g., Deiber et al., 2007; Onton et al., 2005; Pesaran et al., 2002; Tallon-Baudry et al., 2004).”
Trial-by-trial coupling between EEG and BOLD identifies networks related to alpha and theta EEG power increases during working memory maintenance (2009, background): “WMrelated increases in oscillations observed in the EEG or MEG have been reported in the theta band (Gevins et al., 1997; Krause et al., 2000; Onton et al., 2005), alpha band (Klimesch et al., 1999); Jensen et al., 2002; Jokisch and Jensen, 2007; Schack and Klimesch, 2002; Tuladhar et al., 2007)…”
Reward expectation modulates feedback-related negativity and EEG spectra (2007, background): “Medial frontal regions including the anterior cingulate exhibit large theta oscillations that are present at rest, during sleep, and during cognitive tasks, and are modulated by task demands such as working memory, attention, and action selection (Basar-Eroglu et al., 1992; BasarEroglu and Demiralp,”
The Electrophysiological Dynamics of Interference during the Stroop Task (2008, background): “Studies investigating the neural sources of theta activity found that fronto-medial theta power is generated by prefrontal areas including the ACC (Onton, Delorme, & Makeig, 2005; Ishii et al., 1999; Gevins et al., 1997).”
Theta Lingua Franca: A Common Mid-Frontal Substrate for Action Monitoring Processes (2011, neutral): “…et al., 2007), and these oscillations have been linked to multiple processes, including memory, attention, learning, and action selection (Cohen, Ridderinkhof, Haupt, Elger, & Fell, 2008; Debener et al., 2005; Marco-Pallares et al., 2008; Onton, Delorme, & Makeig, 2005; Wang et al., 2005).”
Imaging human EEG dynamics using independent component analysis. (2006, background): “As an example, we have recently reported on a frontal midline component cluster that shows several distinctly different patterns of time/frequency activity (Onton et al., 2005).”
EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing (2011, methodology): “…ICA component scalp topographies are highly compatible with compact cortical domains of local ﬁeld synchrony that may be localized in the brain [1, 10, 11] using a four-shell spherical model or the standard boundary element method (BEM) head model included in the EEGLAB Dipﬁt plug-in…”
Semi-automatic identification of independent components representing EEG artifact. (2009, methodology): “Other types of information should of course be considered for the detailed examination of ICs, in particular those representing brain-related activity (e.g., Debener et al., 2005a,b; Makeig et al., 2002, 2004a; Onton et al., 2005) or more complex artifacts such as those caused by cochlear implants (”
Cognitive fitness of cost-efficient brain functional networks (2009, background): “More specifically, based on several studies linking N-back working memory performance to high-frequency ( -band, 15–30 Hz, and -band, 30–60 Hz) brain dynamics (14, 15), especially in parietal (14, 16) and frontal cortex (17), we expected that cost efficiency of high-frequency networks should be part”
The Phase of Ongoing EEG Oscillations Predicts Visual Perception (2009, background): “These areas have previously been discussed as generators of EEG theta rhythms (Debener et al., 2005; Onton et al., 2005; Tsujimoto et al., 2006), which are involved in a variety of cognitive tasks (for review, see Mitchell et al.”
Information-based modeling of event-related brain dynamics. (2006, methodology): “relative stability of the results of infomax ICA decomposition applied to waking EEG data, both within and between subjects (Makeig et al., 2002, 2004b; Onton et al., 2005) suggests that 103”
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks (2015, background): “Frontal theta and beta activity as well as parietal alpha are most prominent markers of cognitive/memory load in neuroscience literature (Bashivan et al., 2015; Jensen et al., 2002; Onton et al., 2005; Tallon-Baudry et al., 1999).”
Independent EEG Sources Are Dipolar (2012, methodology): “BSS and, in particular, ICA methods are now widely used for separating artifacts from scalp-recorded electroencephalographic (EEG) and related data [18,19,20,21,22] and, increasingly, to separate and study brain source activities [13,14,23,24,25,26].”