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 …

Review of EEG, ERP, and brain connectivity estimators as predictive biomarkers of social anxiety disorder

A Al-Ezzi, N Kamel, I Faye, E Gunaseli - Frontiers in psychology, 2020 - frontiersin.org
Social anxiety disorder (SAD) is characterized by a fear of negative evaluation, negative self-
belief and extreme avoidance of social situations. These recurrent symptoms are thought to …

Effective emotion recognition by learning discriminative graph topologies in EEG brain networks

C Li, P Li, Y Zhang, N Li, Y Si, F Li… - … on Neural Networks …, 2023 - ieeexplore.ieee.org
Multichannel electroencephalogram (EEG) is an array signal that represents brain neural
networks and can be applied to characterize information propagation patterns for different …

EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions

LS Imperatori, M Betta, L Cecchetti… - Scientific reports, 2019 - nature.com
Abstract The weighted Phase Lag Index (wPLI) and the weighted Symbolic Mutual
Information (wSMI) represent two robust and widely used methods for MEG/EEG functional …

Identification of major psychiatric disorders from resting-state electroencephalography using a machine learning approach

SM Park, B Jeong, DY Oh, CH Choi, HY Jung… - Frontiers in …, 2021 - frontiersin.org
We aimed to develop a machine learning (ML) classifier to detect and compare major
psychiatric disorders using electroencephalography (EEG). We retrospectively collected …

Default mode network alterations in individuals with high-trait-anxiety: An EEG functional connectivity study

C Imperatori, B Farina, M Adenzato, EM Valenti… - Journal of Affective …, 2019 - Elsevier
Background Although several researches investigated Default Mode Network (DMN)
alterations in individuals with anxiety disorders, up to now no studies have investigated …

FoMO and the brain: Loneliness and problematic social networking site use mediate the association between the topology of the resting-state EEG brain network and …

Y Yin, X Cai, M Ouyang, S Li, X Li, P Wang - Computers in Human Behavior, 2023 - Elsevier
Fear of missing out (FoMO) is a pervasive apprehension that others might have rewarding
experiences from which one is absent. Recently, FoMO has been considered a negative …

Aberrated multidimensional EEG characteristics in patients with generalized anxiety disorder: a machine-learning based analysis framework

Z Shen, G Li, J Fang, H Zhong, J Wang, Y Sun, X Shen - Sensors, 2022 - mdpi.com
Although increasing evidences support the notion that psychiatric disorders are associated
with abnormal communication between brain regions, scattered studies have investigated …

Sex differences in amygdalohippocampal oscillations and neuronal activation in a rodent anxiety model and in response to infralimbic deep brain stimulation

H Vila-Merkle, A González-Martínez… - Frontiers in behavioral …, 2023 - frontiersin.org
Introduction Depression and anxiety are highly comorbid mental disorders with marked sex
differences. Both disorders show altered activity in the amygdala, hippocampus, and …

An electroencephalography connectomic profile of posttraumatic stress disorder

RT Toll, W Wu, S Naparstek, Y Zhang… - American Journal of …, 2020 - Am Psychiatric Assoc
Objective: The authors sought to identify brain regions whose frequency-specific,
orthogonalized resting-state EEG power envelope connectivity differs between combat …