Computer aided detection of major depressive disorder (MDD) using electroencephalogram signals
AO Khadidos, KH Alyoubi, S Mahato… - IEEE …, 2023 - ieeexplore.ieee.org
MDD or depression is psychiatric disorder which affects many of people globally. Due to the
nonexistence of any available laboratory tests, poor identification of depression is a key …
nonexistence of any available laboratory tests, poor identification of depression is a key …
An EEG-based marker of functional connectivity: detection of major depressive disorder
L Li, X Wang, J Li, Y Zhao - Cognitive Neurodynamics, 2024 - Springer
Major depressive disorder (MDD) is a prevalent psychiatric disorder globally. There are
many assays for MDD, but rapid and reliable detection remains a pressing challenge. In this …
many assays for MDD, but rapid and reliable detection remains a pressing challenge. In this …
Resting-state EEG-based convolutional neural network for the diagnosis of depression and its severity
M Li, Y Liu, Y Liu, C Pu, R Yin, Z Zeng, L Deng… - Frontiers in …, 2022 - frontiersin.org
Purpose: The study aimed to assess the value of the resting-state electroencephalogram
(EEG)-based convolutional neural network (CNN) method for the diagnosis of depression …
(EEG)-based convolutional neural network (CNN) method for the diagnosis of depression …
A neurophysiological model based on resting state EEG functional connectivity features for assessing semantic long-term memory performance
Existing methods for assessing long-term memory (LTM) rely predominantly on
psychometric tests or clinical expert observations. In this study, we propose an objective …
psychometric tests or clinical expert observations. In this study, we propose an objective …
Resting-state EEG dynamics help explain differences in response control in ADHD: Insight into electrophysiological mechanisms and sex differences
Reductions in response control (greater reaction time variability and commission error rate)
are consistently observed in those diagnosed with attention-deficit/hyperactivity disorder …
are consistently observed in those diagnosed with attention-deficit/hyperactivity disorder …
A Comparative Investigation of Wavelet Families for Classification of EOG Signals Related to Healthy and ADHD Children
S Ayoubipour, N Sho'ouri - Clinical EEG and Neuroscience, 2024 - journals.sagepub.com
Based on previous research, there are differences between eye movements of people with
attention-deficit hyperactivity disorder (ADHD) and of healthy people, as a result, the …
attention-deficit hyperactivity disorder (ADHD) and of healthy people, as a result, the …
Classification of children with ADHD through task-related EEG recordings via Swarm-Decomposition-based Phase Locking Value*
E Ganiti-Roumeliotou, I Ziogas… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
Attention Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder
mainly affecting children. ADHD children brain activity is reported to present alterations from …
mainly affecting children. ADHD children brain activity is reported to present alterations from …
A within-subject voxel-wise constant-block partial least squares correlation method to explore MRI-based brain structure–function relationship
X Zhao, K Chen, H Wang, Y Gao, X Ji, Y Li - Cognitive Neurodynamics, 2024 - Springer
The brain structure–function relationship is crucial to how the human brain works under
normal or diseased conditions. Exploring such a relationship is challenging when using the …
normal or diseased conditions. Exploring such a relationship is challenging when using the …
[PDF][PDF] EEG-Based Effective Connectivity Analysis for Attention Deficit Hyperactivity Disorder Detection Using Color-Coded Granger-Causality Images and Custom …
SA Hosseini, Y Modaresnia… - International Clinical …, 2023 - researchgate.net
Background: Attention deficit hyperactivity disorder (ADHD) is prevalent worldwide, affecting
approximately 8-12% of children. Early detection and effective treatment of ADHD are crucial …
approximately 8-12% of children. Early detection and effective treatment of ADHD are crucial …
Exploring brain structure-function relationship using constant-block PLSC via MRI data
X Zhao, Y Li, Y Yang, Y Fu… - … Conference on Artificial …, 2023 - spiedigitallibrary.org
Brain structure-function relationships are becoming an important topic in neuroscience. The
structure-function correlation can be performed at the scales of voxels, connections …
structure-function correlation can be performed at the scales of voxels, connections …