EEG source imaging.

By C. Michel, Micah M. Murray, G. Lantz, Sara Gonzalez, L. Spinelli, Rolando Grave de Peralta. Clinical Neurophysiology, 2004

1,739 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/260690b07b9e738d95acd611da957bb8a3583168

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

Citations in the corpus

Imaging the processing of a second language: Effects of maturation and proficiency on the neural processes involved (2005, background): “Determining the exact location of the source of activity is a very complex matter, we will not discuss this issue here (for a review of source localization procedures see Michel et al. 2004).”
NIRS-Based Hyperscanning Reveals Increased Interpersonal Coherence in Superior Frontal Cortex during Cooperation (2011, positive): “…cite this article as: Cui, X., et al., NIRS-based hyperscanning reveals increased interpersonal coherence in superior frontal cortex during cooperation, NeuroImage (2011), doi:10.1016/j.neuroimage.2011.09.003 to precisely localize the origin of the neuroelectrical signal (Michel et al., 2004).”
Topographic ERP Analyses: A Step-by-Step Tutorial Review (2008, background): “[8, 9, 48], see also [40] for a more recent discussion that includes the role of the reference in source estimations), it will always remain a choice and therefore a source of bias introduced by the experimenter.”
The brain uses single-trial multisensory memories to discriminate without awareness (2005, positive): “However, despite recent advances in source estimation procedures (e.g., Andino et al., in press; Michel et al., 2004), the intracranial spatial resolution of scalp recordings remains limited, particularly in comparison with methods such as fMRI.”
Electrophysiological Imaging of Brain Activity and Connectivity – Challenges and Opportunities (2011, background): “In the clinical realm, imaging distributed current or potential sources have been used to localize and image the epileptogenic zone [35]–[37].”
Spatiotemporal Analysis of Multichannel EEG: CARTOOL (2011, methodology): “Only the zero line is shifted, but not the landscape of the potential map [3].”
Persistent EEG overactivation in the cortical pain matrix of neurogenic pain patients (2006, methodology): “We found LORETA to be well suited for localization of EEG generators in our study for several reasons: it is a practical technique that has been extensively validated with other methods such as PET, fMRI, and intracortical recordings (Lantz et al., 1997; Frei et al., 2001; Pascual-Marqui et al., 200”
Automated cortical projection of EEG sensors: Anatomical correlation via the international 10-10 system (2009, positive): “At the opposite of electroencephalography or magnetoencephelography which now uses source imaging techniques for localization purpose (Michel et al., 2004), TMS and NIRS, which only concern the superficial cortical surface, strongly rely on cranio-cerebral correlations.”
Looming Signals Reveal Synergistic Principles of Multisensory Integration (2012, methodology): “Prior basic and clinical research from members of our group and others has documented and discussed in detail the spatial accuracy of the inverse solution model used here (Grave de Peralta Menendez et al., 2004; Michel et al., 2004; Gonzalez Andino et al., 2005; Martuzzi et al., 2009).”
EEG and MEG: relevance to neuroscience. (2013, methodology): “Several alternative procedures were developed to circumvent the limitations of the equivalent dipole approach, namely ‘‘imaging methods’’ in which distributed current sources with specific constraints are estimated (Michel et al., 2004; Michel and He, 2011; Baillet, 2010).”
A systems approach to appraisal mechanisms in emotion (2005, positive): “…can be studied by investigating the modiﬁcations of the topographical conﬁguration of the electrical ﬁelds through time measured at the scalp by EEG. Michel et al. (2004), and Pascual-Marqui, Michel, and Lehmann (1995) deﬁned a procedure of analysis that takes into account all electrodes rather…”
EEG Source Imaging: A Practical Review of the Analysis Steps (2019, background): “Simulation studies as well as subsampling studies in epileptic patients with known epileptic focus clearly showed that electrode arrays with <32 sensors lead to severe mislocalizations and blurring (3, 28).”
Contextual factors multiplex to control multisensory processes (2016, background): “…in the configuration of these generators (viz. the topography of the electric field at the scalp), as well as latency shifts in brain processes across experimental conditions [Altieri et al., 2015; Michel and Murray, 2012; Michel et al., 2004, 2009; Murray et al., 2008; Stevenson et al., 2014].”
Spontaneous brain activity and EEG microstates. A novel EEG/fMRI analysis approach to explore resting-state networks (2010, methodology): “…time epochs (“microstates”) that are defined by quasi-stable landscapes of the brain electric field (Brandeis and Lehmann, 1989; Fingelkurts, 2004; Lehmann and Skrandies, 1980; Lehmann et al., 1987, 1998; Michel et al., 2004; Pascual-Marqui et al., 1995; Wackermann et al., 1993; Zhou et al., 1999).”
Electroencephalographic Resting-State Networks: Source Localization of Microstates (2017, positive): “…EEG [LAURA from Car-tool’s toolbox; (Grave de Peralta Menendez et al., 2004)], and the time course of the current density of 5000 solution points equally distributed in the gray matter of a template brain is estimated: Q p , t for each solution point p and time point t (Michel et al., 2004).”