Functional brain dynamic analysis of ADHD and control children using nonlinear dynamical features of EEG signals
Author:
Affiliation:
1. Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran
2. Cognitive Neuroscience Laboratory, Department of Psychology, University of Tabriz, Tabriz, Iran
Publisher
IOS Press
Subject
General Medicine,General Neuroscience
Reference36 articles.
1. Wavelet-synchronization methodology: A new approach for EEG-based diagnosis of ADHD;Ahmadlou;Clin. EEG Neurosci.,2010
2. Fuzzy synchronization likelihood with application to attention-deficit/hyperactivity disorder;Ahmadlou;Clin. EEG Neurosci.,2011
3. Functional community analysis of brain: A new approach for EEG-based investigation of the brain pathology;Ahmadlou;Neuroimage,2011
4. Graph theoretical analysis of organization of functional brain networks in ADHD;Ahmadlou;Clin. EEG Neurosci.,2012
5. A neuropsychological examination of the underlying deficit in attention deficit hyperactivity disorder: Frontal lobe versus right parietal lobe theories;Aman;Dev. Psychol.,1998
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