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Volume 22, Issue 1 (Spring 2020)
Advances in Cognitive Sciences 2020, 22(1): 70-80 |
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Rostami M, Khosrowabadi R, Pouretemad H. Electroencephalographic characteristics of attention-deficit/hyperactivity disorder subtypes. Advances in Cognitive Sciences 2020; 22 (1) :70-80
URL: http://icssjournal.ir/article-1-934-en.html
URL: http://icssjournal.ir/article-1-934-en.html
1- . PhD Student of Cognitive Psychology, Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran
2- Assistant Professor of Cognitive Modeling, Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran
3- Professor of Cognitive Psychology Department, Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran
2- Assistant Professor of Cognitive Modeling, Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran
3- Professor of Cognitive Psychology Department, Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran
Abstract: (2778 Views)
Introduction: Attention-Deficit/Hyperactivity Disorder (ADHD as a neurodevelopmental disorder includes three subtypes predominantly inattentive (ADHD-I), predominantly impulsive/hyperactive (ADHD-H), and predominantly combined (ADHD-C) that has formed a heterogeneity disorder due to differences in pathology and syndrome. This study aimed to evaluate the Electroencephalographic (EEG) characteristics of ADHD subtypes.
Methods: Subjects included 61 boys (7-12 years old, normal intelligence) with ADHD (ADHD-I, N= 25; ADHD-H, N=14 and ADHD-C, N=22) and 43 typically developing children (TDC). The groups were matched for IQ- and age. Children were investigated regarding Child Behavior Checklist and brain electrical activity during eyes-closed resting state (i.e. EEG power in delta (1-4 Hz), Theta (4-8 Hz), Alpha (8-12 Hz) and Beta (12-30Hz) frequency bands. Statistical analysis included a 2x2 factorial design by the additive model.
Results: Theta/Beta ratio was higher in all ADHD subtypes, especially the ADHD-I subtypes, compared to normal children. Besides, in the ADHD-I subtype, theta activity was higher and beta activity was lower than Theta. No significant difference found between the groups in delta and alpha activity.
Conclusion: According to these results, EEG markers can better distinguish the ADHD-I subtype, which can be explained within the framework of the maturational lag model of the central nervous system.
Methods: Subjects included 61 boys (7-12 years old, normal intelligence) with ADHD (ADHD-I, N= 25; ADHD-H, N=14 and ADHD-C, N=22) and 43 typically developing children (TDC). The groups were matched for IQ- and age. Children were investigated regarding Child Behavior Checklist and brain electrical activity during eyes-closed resting state (i.e. EEG power in delta (1-4 Hz), Theta (4-8 Hz), Alpha (8-12 Hz) and Beta (12-30Hz) frequency bands. Statistical analysis included a 2x2 factorial design by the additive model.
Results: Theta/Beta ratio was higher in all ADHD subtypes, especially the ADHD-I subtypes, compared to normal children. Besides, in the ADHD-I subtype, theta activity was higher and beta activity was lower than Theta. No significant difference found between the groups in delta and alpha activity.
Conclusion: According to these results, EEG markers can better distinguish the ADHD-I subtype, which can be explained within the framework of the maturational lag model of the central nervous system.
Keywords: Electroencephalography (EEG), Attention deficit disorder with hyperactivity subtypes, Additive Model
Type of Study: Research |
Received: 2019/05/6 | Accepted: 2019/07/4 | Published: 2020/06/10
Received: 2019/05/6 | Accepted: 2019/07/4 | Published: 2020/06/10
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