[HTML][HTML] International Federation of Clinical Neurophysiology (IFCN)–EEG research workgroup: Recommendations on frequency and topographic analysis of resting …
Abstract In 1999, the International Federation of Clinical Neurophysiology (IFCN) published
“IFCN Guidelines for topographic and frequency analysis of EEGs and EPs”(Nuwer et al …
“IFCN Guidelines for topographic and frequency analysis of EEGs and EPs”(Nuwer et al …
Early diagnosis of Alzheimer's disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts
PM Rossini, R Di Iorio, F Vecchio, M Anfossi… - Clinical …, 2020 - Elsevier
Alzheimer's disease (AD) is the most common neurodegenerative disease among the
elderly with a progressive decline in cognitive function significantly affecting quality of life …
elderly with a progressive decline in cognitive function significantly affecting quality of life …
Electrophysiological brain connectivity: theory and implementation
We review the theory and algorithms of electrophysiological brain connectivity analysis. This
tutorial is aimed at providing an introduction to brain functional connectivity from …
tutorial is aimed at providing an introduction to brain functional connectivity from …
Assessing interactions in the brain with exact low-resolution electromagnetic tomography
RD Pascual-Marqui, D Lehmann… - … of the Royal …, 2011 - royalsocietypublishing.org
Scalp electric potentials (electroencephalogram; EEG) are contingent to the impressed
current density unleashed by cortical pyramidal neurons undergoing post-synaptic …
current density unleashed by cortical pyramidal neurons undergoing post-synaptic …
[HTML][HTML] Effective connectivity: influence, causality and biophysical modeling
This is the final paper in a Comments and Controversies series dedicated to “The
identification of interacting networks in the brain using fMRI: Model selection, causality and …
identification of interacting networks in the brain using fMRI: Model selection, causality and …
Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations
Magnetoencephalography (MEG) and electroencephalography (EEG) allow functional brain
imaging with high temporal resolution. While solving the inverse problem independently at …
imaging with high temporal resolution. While solving the inverse problem independently at …
Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods
A Gramfort, M Kowalski… - Physics in Medicine & …, 2012 - iopscience.iop.org
Magneto-and electroencephalography (M/EEG) measure the electromagnetic fields
produced by the neural electrical currents. Given a conductor model for the head, and the …
produced by the neural electrical currents. Given a conductor model for the head, and the …
Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG
P Krishnaswamy, G Obregon-Henao… - Proceedings of the …, 2017 - National Acad Sciences
Subcortical structures play a critical role in brain function. However, options for assessing
electrophysiological activity in these structures are limited. Electromagnetic fields generated …
electrophysiological activity in these structures are limited. Electromagnetic fields generated …
Penalized least squares regression methods and applications to neuroimaging
The goals of this paper are to review the most popular methods of predictor selection in
regression models, to explain why some fail when the number P of explanatory variables …
regression models, to explain why some fail when the number P of explanatory variables …
Tensor analysis and fusion of multimodal brain images
E Karahan, PA Rojas-Lopez… - Proceedings of the …, 2015 - ieeexplore.ieee.org
Current high-throughput data acquisition technologies probe dynamical systems with
different imaging modalities, generating massive data sets at different spatial and temporal …
different imaging modalities, generating massive data sets at different spatial and temporal …