ArticleCognitive neurodynamics2021
Direction of information flow between brain regions in ADHD and healthy children based on EEG by using directed phase transfer entropy.
Article in Cognitive neurodynamics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 72 citations in OpenAlex.
- ADHD classification using spherical phase space partitioning and symbolic time series analysis of multi-channel EEG signals.BMC biomedical engineering · 2026Article
- Transformer-Based Modeling of Directed Transfer Entropy Connectivity for EEG-Based ADHD Classification in Children.Sensors (Basel, Switzerland) · 2026Article
- Hippotherapy for Children with Autism Spectrum Disorder: Executive Function and Electrophysiological Outcomes.Brain sciences · 2026Article
- Window leakage in clinical EEG machine learning: matched subject-independent evaluation across ADHD and Parkinson cohorts.Frontiers in neuroinformatics · 2026Article
- Autism spectrum disorder disrupts brain network connectivity maturation during childhood development.Scientific reports · 2025Article
- A Hybrid Approach to Attention Deficit Hyperactivity Disorder Detection Leveraging Transformer and XGBoost Models Using XSparseFormerNet.Scientific reports · 2025Article
- Transition to synchronization in functional brain networks of children suffering from ADHD.Brain structure & function · 2025Article
- Transcranial Direct Current Stimulation Can Modulate Brain Complexity and Connectivity in Children with Autism Spectrum Disorder: Insights from Entropy Analysis.Bioengineering (Basel, Switzerland) · 2025Article
- Advanced machine learning techniques reveal multidimensional EEG abnormalities in children with ADHD: a framework for automatic diagnosis.Frontiers in psychiatry · 2025Article
- Convolutional neural network framework for EEG-based ADHD diagnosis in children.Health information science and systems · 2024Article
- ADHD-AID: Aiding Tool for Detecting Children's Attention Deficit Hyperactivity Disorder via EEG-Based Multi-Resolution Analysis and Feature Selection.Biomimetics (Basel, Switzerland) · 2024Article
- Point of Care Testing (POCT) in Psychopathology Using Fractal Analysis and Hilbert Huang Transform of Electroencephalogram (EEG).Advances in neurobiology · 2024Article
- The global neuronal workspace as a broadcasting network.Network neuroscience (Cambridge, Mass.) · 2022Article
- Analysis of Effective Connectivity Strength in Children with Attention Deficit Hyperactivity Disorder Using Phase Transfer Entropy.Iranian journal of psychiatry · 2021Article
- Sleep-Dependent Anomalous Cortical Information Interaction in Patients With Depression.Frontiers in neuroscience · 2021Article
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Directed information flow between brain regions might be disrupted in children with Attention Deficit Hyperactivity Disorder (ADHD) which is related to the behavioral characteristics of ADHD. This paper aims to investigate the different information pathways of brain networks in children with ADHD in comparison with healthy subjects. EEG recordings were obtained from 61 children with ADHD and 60 healthy children without neurological disorders during attentional visual task. Effective connectivity among all scalp channels was calculated using directed phase transfer entropy (dPTE) for delta, theta, alpha, beta, and lower-gamma frequency bands. Group differences were evaluated using permutation tests in connectivity between regions. Significant posterior to anterior patterns of information flow in theta frequency bands were found in healthy subjects (
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