Accepted Articles                   Back to the articles list | Back to browse issues page


XML Print


1- Institute for Cognitive Sciences Studies, Tehran, Iran.
2- Department of Clinical Psychology, Kharrazmi University, Tehran, Iran.
3- Center for Cognitive Science, Institute for Convergence Science & Technology, Sharif University of Technology, Tehran, Iran.
4- Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran.
Abstract:  
Study of brain functional network in attention deficit hyperactivity disorder (ADHD) has provided useful information about the hyper/hypo connectivity between distinct brain regions. Nevertheless, impact of negative links (anti synchronies) and their topology on the stability of the network still requires to be well understood. In this study, we hypothesized that effect of dysconnectivities and antisynchronies should mainly be local and may not influence the overall stability and flexibility of the network in ADHD. Therefore, differences between brain functional organization of ADHD individuals were compared to a typically developed group using the structural balance theory. Our results did not show any significant differences in the balance energy of the resting-state network between healthy individuals and three subtypes of the ADHD. However, a negative correlation was found between behavioral measures of the ADHD and balance energy; highlighting that the higher disorder index may push the network to a less flexible (more balanced) state. We hope these findings could enhance our understanding on the systemic mechanism behind the ADHD.
Type of Study: Original | Subject: Cognitive Neuroscience
Received: 2023/09/3 | Accepted: 2024/01/21

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Basic and Clinical Neuroscience

Designed & Developed by : Yektaweb