EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review
Mental disorders represent critical public health challenges as they are leading contributors
to the global burden of disease and intensely influence social and financial welfare of …
to the global burden of disease and intensely influence social and financial welfare of …
Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: A …
S Yasin, A Othmani, I Raza, SA Hussain - Computers in Biology and …, 2023 - Elsevier
Mental disorders are rapidly increasing each year and have become a major challenge
affecting the social and financial well-being of individuals. There is a need for phenotypic …
affecting the social and financial well-being of individuals. There is a need for phenotypic …
Emotionmeter: A multimodal framework for recognizing human emotions
In this paper, we present a multimodal emotion recognition framework called EmotionMeter
that combines brain waves and eye movements. To increase the feasibility and wearability …
that combines brain waves and eye movements. To increase the feasibility and wearability …
[HTML][HTML] The development of theta and alpha neural oscillations from ages 3 to 24 years
Intrinsic, unconstrained neural activity exhibits rich spatial, temporal, and spectral
organization that undergoes continuous refinement from childhood through adolescence …
organization that undergoes continuous refinement from childhood through adolescence …
An open resource for transdiagnostic research in pediatric mental health and learning disorders
LM Alexander, J Escalera, L Ai, C Andreotti, K Febre… - Scientific data, 2017 - nature.com
Technological and methodological innovations are equipping researchers with
unprecedented capabilities for detecting and characterizing pathologic processes in the …
unprecedented capabilities for detecting and characterizing pathologic processes in the …
Automagic: Standardized preprocessing of big EEG data
Electroencephalography (EEG) recordings have been rarely included in large-scale studies.
This is arguably not due to a lack of information that lies in EEG recordings but mainly on …
This is arguably not due to a lack of information that lies in EEG recordings but mainly on …
Electrophysiological frequency band ratio measures conflate periodic and aperiodic neural activity
T Donoghue, J Dominguez, B Voytek - Eneuro, 2020 - eneuro.org
Band ratio measures, computed as the ratio of power between two frequency bands, are a
common analysis measure in neuroelectrophysiological recordings. Band ratio measures …
common analysis measure in neuroelectrophysiological recordings. Band ratio measures …
Microstate EEGlab toolbox: An introductory guide
EEG microstate analysis offers a sparse characterisation of the spatio-temporal features of
large-scale brain network activity. However, despite the concept of microstates is straight …
large-scale brain network activity. However, despite the concept of microstates is straight …
GABAB receptor modulation of visual sensory processing in adults with and without autism spectrum disorder
Sensory atypicalities in autism spectrum disorder (ASD) are thought to arise at least partly
from differences in γ-aminobutyric acid (GABA) receptor function. However, the evidence to …
from differences in γ-aminobutyric acid (GABA) receptor function. However, the evidence to …
Exploratory evidence for differences in GABAergic regulation of auditory processing in autism spectrum disorder
Altered reactivity and responses to auditory input are core to the diagnosis of autism
spectrum disorder (ASD). Preclinical models implicate ϒ-aminobutyric acid (GABA) in this …
spectrum disorder (ASD). Preclinical models implicate ϒ-aminobutyric acid (GABA) in this …