The applied principles of EEG analysis methods in neuroscience and clinical neurology
H Zhang, QQ Zhou, H Chen, XQ Hu, WG Li, Y Bai… - Military Medical …, 2023 - Springer
Electroencephalography (EEG) is a non-invasive measurement method for brain activity.
Due to its safety, high resolution, and hypersensitivity to dynamic changes in brain neural …
Due to its safety, high resolution, and hypersensitivity to dynamic changes in brain neural …
Resting state EEG power research in Attention-Deficit/Hyperactivity Disorder: A review update
This article reviews the eyes-open and eyes-closed resting electroencephalogram (EEG)
literature for Attention-Deficit/Hyperactivity Disorder (AD/HD) from 2002 to 2019. This time …
literature for Attention-Deficit/Hyperactivity Disorder (AD/HD) from 2002 to 2019. This time …
Diagnose ADHD disorder in children using convolutional neural network based on continuous mental task EEG
Abstract Background and objective Attention-Deficit/Hyperactivity Disorder (ADHD) is a
chronic behavioral disorder in children. Children with ADHD face many difficulties in …
chronic behavioral disorder in children. Children with ADHD face many difficulties in …
[HTML][HTML] Linking alpha oscillations, attention and inhibitory control in adult ADHD with EEG neurofeedback
MP Deiber, R Hasler, J Colin, A Dayer, JM Aubry… - NeuroImage: Clinical, 2020 - Elsevier
Abnormal patterns of electrical oscillatory activity have been repeatedly described in adult
ADHD. In particular, the alpha rhythm (8–12 Hz), known to be modulated during attention …
ADHD. In particular, the alpha rhythm (8–12 Hz), known to be modulated during attention …
[PDF][PDF] Efficient Feature Selection and Machine Learning Based ADHD Detection Using EEG Signal.
Attention deficit hyperactivity disorder (ADHD) is one of the most common psychiatric and
neurobehavioral disorders in children, affecting 11% of children worldwide. This study …
neurobehavioral disorders in children, affecting 11% of children worldwide. This study …
Effect of aging on ERP components of cognitive control
J Kropotov, V Ponomarev, EP Tereshchenko… - Frontiers in aging …, 2016 - frontiersin.org
As people age, their performance on tasks requiring cognitive control often declines. Such a
decline is frequently explained as either a general or specific decline in cognitive functioning …
decline is frequently explained as either a general or specific decline in cognitive functioning …
Diagnosis of attention deficit hyperactivity disorder with combined time and frequency features
The aim of this study was to build a machine learning model to discriminate Attention Deficit
Hyperactivity Disorder (ADHD) patients and healthy controls using information from both …
Hyperactivity Disorder (ADHD) patients and healthy controls using information from both …
Moving beyond ERP components: a selective review of approaches to integrate EEG and behavior
Relationships between neuroimaging measures and behavior provide important clues about
brain function and cognition in healthy and clinical populations. While …
brain function and cognition in healthy and clinical populations. While …
EEG spectral power, but not theta/beta ratio, is a neuromarker for adult ADHD
Adults with attention‐deficit/hyperactivity disorder (ADHD) have been described as having
altered resting‐state electroencephalographic (EEG) spectral power and theta/beta ratio …
altered resting‐state electroencephalographic (EEG) spectral power and theta/beta ratio …
EEG for diagnosis of adult ADHD: a systematic review with narrative analysis
M Adamou, T Fullen, SL Jones - Frontiers in Psychiatry, 2020 - frontiersin.org
Background Attention deficit hyperactivity disorder is a common neurodevelopmental
disorder characterized by symptoms of inattention, hyperactivity and or impulsivity. Since the …
disorder characterized by symptoms of inattention, hyperactivity and or impulsivity. Since the …