[HTML][HTML] A review on mental stress assessment methods using EEG signals
Mental stress is one of the serious factors that lead to many health problems. Scientists and
physicians have developed various tools to assess the level of mental stress in its early …
physicians have developed various tools to assess the level of mental stress in its early …
[HTML][HTML] Inferring causation from time series in Earth system sciences
The heart of the scientific enterprise is a rational effort to understand the causes behind the
phenomena we observe. In large-scale complex dynamical systems such as the Earth …
phenomena we observe. In large-scale complex dynamical systems such as the Earth …
[HTML][HTML] Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke
Brain-computer interfaces (BCI) are used in stroke rehabilitation to translate brain signals
into intended movements of the paralyzed limb. However, the efficacy and mechanisms of …
into intended movements of the paralyzed limb. However, the efficacy and mechanisms of …
Investigating large-scale brain dynamics using field potential recordings: analysis and interpretation
New technologies to record electrical activity from the brain on a massive scale offer
tremendous opportunities for discovery. Electrical measurements of large-scale brain …
tremendous opportunities for discovery. Electrical measurements of large-scale brain …
A study of problems encountered in Granger causality analysis from a neuroscience perspective
PA Stokes, PL Purdon - … of the national academy of sciences, 2017 - National Acad Sciences
Granger causality methods were developed to analyze the flow of information between time
series. These methods have become more widely applied in neuroscience. Frequency …
series. These methods have become more widely applied in neuroscience. Frequency …
Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach
Deep learning techniques have recently made considerable advances in the field of artificial
intelligence. These methodologies can assist psychologists in early diagnosis of mental …
intelligence. These methodologies can assist psychologists in early diagnosis of mental …
FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data
This paper describes FieldTrip, an open source software package that we developed for the
analysis of MEG, EEG, and other electrophysiological data. The software is implemented as …
analysis of MEG, EEG, and other electrophysiological data. The software is implemented as …
[HTML][HTML] Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …
crucial issue in neuroscience. The concepts of structural, functional and effective …
[HTML][HTML] Attentional stimulus selection through selective synchronization between monkey visual areas
A central motif in neuronal networks is convergence, linking several input neurons to one
target neuron. In visual cortex, convergence renders target neurons responsive to complex …
target neuron. In visual cortex, convergence renders target neurons responsive to complex …
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 …