Where does EEG come from and what does it mean?
MX Cohen - Trends in neurosciences, 2017 - cell.com
Electroencephalography (EEG) has been instrumental in making discoveries about
cognition, brain function, and dysfunction. However, where do EEG signals come from and …
cognition, brain function, and dysfunction. However, where do EEG signals come from and …
[HTML][HTML] The steady-state visual evoked potential in vision research: A review
Periodic visual stimulation and analysis of the resulting steady-state visual evoked potentials
were first introduced over 80 years ago as a means to study visual sensation and …
were first introduced over 80 years ago as a means to study visual sensation and …
Principles and open questions in functional brain network reconstruction
O Korhonen, M Zanin, D Papo - Human Brain Mapping, 2021 - Wiley Online Library
Graph theory is now becoming a standard tool in system‐level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network representation …
endowing observed brain anatomy and dynamics with a complex network representation …
Why more is better: Simultaneous modeling of EEG, fMRI, and behavioral data
The need to test a growing number of theories in cognitive science has led to increased
interest in inferential methods that integrate multiple data modalities. In this manuscript, we …
interest in inferential methods that integrate multiple data modalities. In this manuscript, we …
Neuronal synchrony and the relation between the blood-oxygen-level dependent response and the local field potential
The most widespread measures of human brain activity are the blood-oxygen-level
dependent (BOLD) signal and surface field potential. Prior studies report a variety of …
dependent (BOLD) signal and surface field potential. Prior studies report a variety of …
Representation of maximally regular textures in human visual cortex
Naturalistic textures with an intermediate degree of statistical regularity can capture key
structural features of natural images. V2 and later visual areas are sensitive to these …
structural features of natural images. V2 and later visual areas are sensitive to these …
EEGSourceSim: A framework for realistic simulation of EEG scalp data using MRI-based forward models and biologically plausible signals and noise
Background Electroencephalography (EEG) is widely used to investigate human brain
function. Simulation studies are essential for assessing the validity of EEG analysis methods …
function. Simulation studies are essential for assessing the validity of EEG analysis methods …
Degraded attentional modulation of cortical neural populations in strabismic amblyopia
Behavioral studies have reported reduced spatial attention in amblyopia, a developmental
disorder of spatial vision. However, the neural populations in the visual cortex linked with …
disorder of spatial vision. However, the neural populations in the visual cortex linked with …
A meta-analytic review of neuroimaging studies of specific phobia to small animals
Introduction Neuroimaging techniques have been used to identify the neurological bases of
phobias. Objective This meta-review examines functional magnetic resonance imaging …
phobias. Objective This meta-review examines functional magnetic resonance imaging …