EEG frequency bands in psychiatric disorders: a review of resting state studies
JJ Newson, TC Thiagarajan - Frontiers in human neuroscience, 2019 - frontiersin.org
A significant proportion of the electroencephalography (EEG) literature focuses on
differences in historically pre-defined frequency bands in the power spectrum that are …
differences in historically pre-defined frequency bands in the power spectrum that are …
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] Graph-based analysis of brain connectivity in schizophrenia
E Olejarczyk, W Jernajczyk - PloS one, 2017 - journals.plos.org
The present study evaluated brain connectivity using electroencephalography (EEG) data
from 14 patients with schizophrenia and 14 healthy controls. Phase-Locking Value (PLV) …
from 14 patients with schizophrenia and 14 healthy controls. Phase-Locking Value (PLV) …
Which reference should we use for EEG and ERP practice?
Which reference is appropriate for the scalp ERP and EEG studies? This unsettled problem
still inspires unceasing debate. The ideal reference should be the one with zero or constant …
still inspires unceasing debate. The ideal reference should be the one with zero or constant …
BEAPP: the batch electroencephalography automated processing platform
AR Levin, AS Méndez Leal… - Frontiers in …, 2018 - frontiersin.org
Electroencephalography (EEG) offers information about brain function relevant to a variety of
neurologic and neuropsychiatric disorders. EEG contains complex, high-temporal-resolution …
neurologic and neuropsychiatric disorders. EEG contains complex, high-temporal-resolution …
Supervised network-based fuzzy learning of EEG signals for Alzheimer's disease identification
H Yu, X Lei, Z Song, C Liu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Accurate identification of Alzheimer's disease (AD) with electroencephalograph (EEG) is
crucial in the clinical diagnosis of neurological disorders. However, the effectiveness and …
crucial in the clinical diagnosis of neurological disorders. However, the effectiveness and …
[HTML][HTML] Identifying good practices for detecting inter-regional linear functional connectivity from EEG
Aggregating voxel-level statistical dependencies between multivariate time series is an
important intermediate step when characterising functional connectivity (FC) between larger …
important intermediate step when characterising functional connectivity (FC) between larger …
Brain variability in dynamic resting-state networks identified by fuzzy entropy: a scalp EEG study
Objective. Exploring the temporal variability in spatial topology during the resting state
attracts growing interest and becomes increasingly useful to tackle the cognitive process of …
attracts growing interest and becomes increasingly useful to tackle the cognitive process of …
Cortical network topology in prodromal and mild dementia due to Alzheimer's disease: graph theory applied to resting state EEG
R Franciotti, NW Falasca, D Arnaldi, F Famà… - Brain Topography, 2019 - Springer
Graph theory analysis on resting state electroencephalographic rhythms disclosed
topological properties of cerebral network. In Alzheimer's disease (AD) patients, this …
topological properties of cerebral network. In Alzheimer's disease (AD) patients, this …
Functional connectivity discriminates epileptogenic states and predicts surgical outcome in children with drug resistant epilepsy
Normal brain functioning emerges from a complex interplay among regions forming
networks. In epilepsy, these networks are disrupted causing seizures. Highly connected …
networks. In epilepsy, these networks are disrupted causing seizures. Highly connected …