[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 …

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 …

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 …

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 …

A survey of brain network analysis by electroencephalographic signals

C Luo, F Li, P Li, C Yi, C Li, Q Tao, X Zhang, Y Si… - Cognitive …, 2022 - Springer
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 …

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 …

A tensor decomposition-based approach for detecting dynamic network states from EEG

AG Mahyari, DM Zoltowski, EM Bernat… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
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 …

Reduction but no shift in brain activation after arithmetic learning in children: a simultaneous fNIRS-EEG study

M Soltanlou, C Artemenko, AC Ehlis, S Huber… - Scientific reports, 2018 - nature.com
Neurocognitive studies of arithmetic learning in adults have revealed decreasing brain
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

Y Dasdemir, E Yildirim, S Yildirim - Cognitive neurodynamics, 2017 - Springer
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 …

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 …