Electric Fields of the Brain: The Neurophysics of Eeg

By P. Nunez, E. Harth. 2005

1,071 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Physiology

View Paper: https://www.semanticscholar.org/paper/8ccac345a634f4e1815582151183680b65790e38

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

1. Julie Anne Onton
2. Scott Makeig
3. P. R. Montague
4. Srikantan S. Nagarajan
5. Laura E. Martin
6. Walter J. Freeman
7. Robert T. Knight
8. Ryan T. Canolty

In Physiology

1. P. R. Montague
2. Srikantan S. Nagarajan
3. Laura E. Martin
4. Geoffrey F. Potts
5. Philip C. Burton

Citations in the corpus

• Information-based modeling of event-related brain dynamics. (2006, background): “For electrical frequencies in the EEG range, the basic ICA assumptions that volume conduction is linear and practically instantaneous are confirmed by biophysics (Nunez and Srinivasan, 2005).”
• High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex (2006, background): “However, given the difficulty in localizing electrical sources from scalp recordings alone ( 19 ), subdural electrodes that record directly from the human cortex are needed to address this question.”
• Nonlinear brain dynamics as macroscopic manifestation of underlying many-body field dynamics (2005, background): “Mechanisms have been modeled by negative feedback among local populations [17], thalamocortical loops [18–21], subcortical loops [22], electrochemical reactions based in membrane permeabilities [23,24], and resonant modes of wave mechanics [ 25 ].”
• Endogenous Electric Fields May Guide Neocortical Network Activity (2010, neutral): “Structured neocortical neuronal activity generates fluctuations in extracellular potential that are routinely recorded as local field potentials (LFPs) and electroencephalograms (EEGs) (Freeman, 1975; Mitzdorf, 1985; Nunez and Srinivasan, 2006).”
• When Things Are Better or Worse than Expected: The Medial Frontal Cortex and the Allocation of Processing Resources (2006, methodology): “The ERP scalp topography was plotted and source dipoles were estimated using the BESA program (MEGIS Software, Germany).”