The Spline‐Laplacian in Clinical Neurophysiology: A Method to Improve EEG Spatial Resolution

@article{Nunez1991TheSI,
  title={The Spline‐Laplacian in Clinical Neurophysiology: A Method to Improve EEG Spatial Resolution},
  author={Paul L. Nunez and K. L. Pilgreen},
  journal={Journal of Clinical Neurophysiology},
  year={1991},
  volume={8},
  pages={397–413}
}
  • P. Nunez, K. Pilgreen
  • Published 1 October 1991
  • Computer Science
  • Journal of Clinical Neurophysiology
An important goal of EEG research is to obtain practical methods to improve the spatial resolution of scalp-recorded potentials, i.e., to make surface data more accurately represent local underlying brain sources. This goal may be somewhat different from that of “localizing brain activity with EEG,” since the latter approach often involves prior assumptions about the nature of sources. In this paper, we demonstrate the spline-Laplacian, a relatively new approach that can yield dramatic… 
High-resolution EEG: applications in medicine and cognitive science
  • P. Nunez
  • Biology
    Photonics West - Lasers and Applications in Science and Engineering
  • 1993
TLDR
This work uses computer simulations involving widely distributed sources to demonstrate the apparent accuracy of various approaches used to obtain high resolution EEG: surface Laplacian and cortical imaging.
High-resolution EEG using spline generated surface Laplacians on spherical and ellipsoidal surfaces
TLDR
The spline-Laplacian accurately estimates isolated dipoles or distributed sources, is insensitive to subcortical sources and to sources which originate outside the boundaries of the electrode array, and acts as a bandpass spatial filter whose characteristics appear to provide a good match to the volume conduction of intracranial sources through human heads.
The surface laplacian, high resolution EEG and controversies
SummaryThe surface Laplacian estimate (i.e., current source density) as obtained with spline functions is evaluated in the context of some recent controversies concerning high resolution EEG and
Spatial Filter Approach for Evaluation of the Surface Laplacian of the Electroencephalogram and Magnetoencephalogram
TLDR
Substantial improvements in spatial resolution may be obtained using the surface Laplacian techniques as long as correlated noise levels are small and raw signals have relatively high signal-to-noise ratios.
EEG Source Analysis
A Visual study of surface potentials and Laplacians due to distributed neocortical sources: Computer simulations and evoked potentials
TLDR
A "picture book" of surface potentials, Laplacians, and magnetic fields due to distributed, neocortical sources is presented and substantial improvement in spatial resolution over conventional methods is obtained.
Electroencephalographic imaging of higher brain function.
TLDR
Along with its unique ability to monitor brain function as people perform everyday activities in the real world, these advances make modern EEG an invaluable complement to other functional neuroimaging modalities.
EEG and ERP Imaging of Brain Function
TLDR
The purpose of functional brain mapping is to localize patterns of neuronal activity associated with sensory, motor, and cognitive functions, or with disease processes to be complete, and the differences between EEG and MEG are slight relative to their similarities.
Modeling the electroencephalogram by means of spatial spline smoothing and temporal autoregression
TLDR
A spatial-temporal model for the description of electroencephalographic (EEG) data is introduced that combines smooth reconstruction in the spatial domain and autoregressive representation in the time domain, and shows the flexibility of the model to describe both normal and abnormal EEG data.
...
...