[HTML][HTML] Arithmetic in the developing brain: A review of brain imaging studies
L Peters, B De Smedt - Developmental Cognitive Neuroscience, 2018 - Elsevier
Brain imaging studies on academic achievement offer an exciting window on experience-
dependent cortical plasticity, as they allow us to understand how developing brains change …
dependent cortical plasticity, as they allow us to understand how developing brains change …
Mitigation of stress: new treatment alternatives
AR Subhani, N Kamel, MN Mohamad Saad… - Cognitive …, 2018 - Springer
Complaints of stress are common in modern life. Psychological stress is a major cause of
lifestyle-related issues, contributing to poor quality of life. Chronic stress impedes brain …
lifestyle-related issues, contributing to poor quality of life. Chronic stress impedes brain …
Automated detection of driver fatigue based on EEG signals using gradient boosting decision tree model
J Hu, J Min - Cognitive neurodynamics, 2018 - Springer
Driver fatigue is increasingly a contributing factor for traffic accidents, so an effective method
to automatically detect driver fatigue is urgently needed. In this study, in order to catch the …
to automatically detect driver fatigue is urgently needed. In this study, in order to catch the …
Measures of entropy and complexity in altered states of consciousness
DM Mateos, R Guevara Erra, R Wennberg… - Cognitive …, 2018 - Springer
Quantification of complexity in neurophysiological signals has been studied using different
methods, especially those from information or dynamical system theory. These studies have …
methods, especially those from information or dynamical system theory. These studies have …
A survey of brain network analysis by electroencephalographic signals
Brain network analysis is one efficient tool in exploring human brain diseases and can
differentiate the alterations from comparative networks. The alterations account for time …
differentiate the alterations from comparative networks. The alterations account for time …
EEG microstate sequences from different clustering algorithms are information-theoretically invariant
F Von Wegner, P Knaut, H Laufs - Frontiers in computational …, 2018 - frontiersin.org
We analyse statistical and information-theoretical properties of EEG microstate sequences,
as seen through the lens of five different clustering algorithms. Microstate sequences are …
as seen through the lens of five different clustering algorithms. Microstate sequences are …
A tensor decomposition-based approach for detecting dynamic network states from EEG
Functional connectivity (FC), defined as the statistical dependency between distinct brain
regions, has been an important tool in understanding cognitive brain processes. Most of the …
regions, has been an important tool in understanding cognitive brain processes. Most of the …
Reduction but no shift in brain activation after arithmetic learning in children: a simultaneous fNIRS-EEG study
Neurocognitive studies of arithmetic learning in adults have revealed decreasing brain
activation in the fronto-parietal network, along with increasing activation of specific cortical …
activation in the fronto-parietal network, along with increasing activation of specific cortical …
Analysis of functional brain connections for positive–negative emotions using phase locking value
In this study, we investigate the brain networks during positive and negative emotions for
different types of stimulus (audio only, video only and audio+ video) in α, β α, β, and γ γ …
different types of stimulus (audio only, video only and audio+ video) in α, β α, β, and γ γ …
Network dynamics in the healthy and epileptic developing brain
R Rosch, T Baldeweg, F Moeller, G Baier - Network Neuroscience, 2018 - direct.mit.edu
Electroencephalography (EEG) allows recording of cortical activity at high temporal
resolution. EEG recordings can be summarized along different dimensions using network …
resolution. EEG recordings can be summarized along different dimensions using network …