The role of alpha oscillations among the main neuropsychiatric disorders in the adult and developing human brain: evidence from the last 10 years of research
Alpha oscillations (7–13 Hz) are the dominant rhythm in both the resting and active brain.
Accordingly, translational research has provided evidence for the involvement of aberrant …
Accordingly, translational research has provided evidence for the involvement of aberrant …
[HTML][HTML] IFCN-endorsed practical guidelines for clinical magnetoencephalography (MEG)
Magnetoencephalography (MEG) records weak magnetic fields outside the human head
and thereby provides millisecond-accurate information about neuronal currents supporting …
and thereby provides millisecond-accurate information about neuronal currents supporting …
[HTML][HTML] Use of machine learning approach to predict depression in the elderly in China: a longitudinal study
Background Early detection of potential depression among elderly people is conducive for
timely preventive intervention and clinical care to improve quality of life. Therefore …
timely preventive intervention and clinical care to improve quality of life. Therefore …
No relationship between frontal alpha asymmetry and depressive disorders in a multiverse analysis of five studies
For decades, the frontal alpha asymmetry (FAA)–a disproportion in EEG alpha oscillations
power between right and left frontal channels–has been one of the most popular measures …
power between right and left frontal channels–has been one of the most popular measures …
Interictal SEEG resting‐state connectivity localizes the seizure onset zone and predicts seizure outcome
Localization of epileptogenic zone currently requires prolonged intracranial recordings to
capture seizure, which may take days to weeks. The authors developed a novel method to …
capture seizure, which may take days to weeks. The authors developed a novel method to …
An insight into diagnosis of depression using machine learning techniques: a systematic review
Background In this modern era, depression is one of the most prevalent mental disorders
from which millions of individuals are affected today. The symptoms of depression are …
from which millions of individuals are affected today. The symptoms of depression are …
Evaluating depression with multimodal wristband-type wearable device: screening and assessing patient severity utilizing machine-learning
Y Tazawa, K Liang, M Yoshimura, M Kitazawa, Y Kaise… - Heliyon, 2020 - cell.com
Objective We aimed to develop a machine learning algorithm to screen for depression and
assess severity based on data from wearable devices. Methods We used a wearable device …
assess severity based on data from wearable devices. Methods We used a wearable device …
Prediction of depression severity scores based on functional connectivity and complexity of the EEG signal
Y Mohammadi, MH Moradi - Clinical EEG and Neuroscience, 2021 - journals.sagepub.com
Background Depression is one of the most common mental disorders and the leading cause
of functional disabilities. This study aims to specify whether functional connectivity and …
of functional disabilities. This study aims to specify whether functional connectivity and …
Analysis of EEG features and study of automatic classification in first-episode and drug-naïve patients with major depressive disorder
Y Huang, Y Yi, Q Chen, H Li, S Feng, S Zhou, Z Zhang… - BMC psychiatry, 2023 - Springer
Background Major depressive disorder (MDD) has a high incidence and an unknown
mechanism. There are no objective and sensitive indicators for clinical diagnosis. Objective …
mechanism. There are no objective and sensitive indicators for clinical diagnosis. Objective …
Increased functional connectivity within alpha and theta frequency bands in dysphoria: a resting-state EEG study
Background: The understanding of neurophysiological correlates underlying the risk of
developing depression may have a significant impact on its early and objective …
developing depression may have a significant impact on its early and objective …