Disrupted resting-state brain functional network in methamphetamine abusers: A brain source space study by EEG

Autoři: Hassan Khajehpour aff001;  Bahador Makkiabadi aff001;  Hamed Ekhtiari aff003;  Sepideh Bakht aff005;  Alireza Noroozi aff004;  Fahimeh Mohagheghian aff007
Působiště autorů: Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran aff001;  Research Center for Biomedical Technology and Robotics (RCBTR), Institute of Advanced Medical Technologies (IAMT), Tehran University of Medical Sciences (TUMS), Tehran, Iran aff002;  Laureate Institute for Brain Research (LIBR), Tulsa, OK, United States of America aff003;  Iranian National Center for Addiction Studies (INCAS), Tehran University of Medical Sciences (TUMS), Tehran, Iran aff004;  Department of Cognitive Psychology, Institute for Cognitive Sciences Studies (ICSS), Tehran, Iran aff005;  Neuroscience and Addiction Studies Department, School of Advanced Technologies in Medicine (SATiM), Tehran University of Medical Sciences (TUMS), Tehran, Iran aff006;  Department of Biomedical Engineering, University of Connecticut, Storrs, CT, United States of America aff007
Vyšlo v časopise: PLoS ONE 14(12)
Kategorie: Research Article
doi: https://doi.org/10.1371/journal.pone.0226249


This study aimed to examine the effects of chronic methamphetamine use on the topological organization of whole-brain functional connectivity network (FCN) by reconstruction of neural-activity time series at resting-state. The EEG of 36 individuals with methamphetamine use disorder (IWMUD) and 24 normal controls (NCs) were recorded, pre-processed and source-reconstructed using standardized low-resolution tomography (sLORETA). The brain FCNs of participants were constructed and between-group differences in network topological properties were investigated using graph theoretical analysis. IWMUD showed decreased characteristic path length, increased clustering coefficient and small-world index at delta and gamma frequency bands compared to NCs. Moreover, abnormal changes in inter-regional connectivity and network hubs were observed in all the frequency bands. The results suggest that the IWMUD and NCs have distinct FCNs at all the frequency bands, particularly at the delta and gamma bands, in which deviated small-world brain topology was found in IWMUD.

Klíčová slova:

Addiction – Clustering coefficients – Drug addiction – Electroencephalography – Functional magnetic resonance imaging – Impulsivity – Neural networks – Psychological stress


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