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

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Chronic methamphetamine use alters brain network topology. Individuals with methamphetamine use disorder exhibit distinct functional connectivity networks (FCNs) and deviated small-world brain organization, particularly in delta and gamma frequency bands.

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Area of Science:

  • Neuroscience
  • Neuroimaging
  • Addiction Research

Background:

  • Chronic methamphetamine use is associated with significant neurological alterations.
  • Understanding the impact on brain functional connectivity is crucial for addiction treatment.

Purpose of the Study:

  • To investigate the effects of chronic methamphetamine use on whole-brain functional connectivity network (FCN) topology.
  • To compare FCNs between individuals with methamphetamine use disorder (IWMUD) and normal controls (NCs).

Main Methods:

  • Resting-state electroencephalography (EEG) data from 36 IWMUD and 24 NCs were recorded.
  • Source-reconstruction using standardized low-resolution tomography (sLORETA) and graph theoretical analysis were employed.
  • Between-group differences in network topological properties across frequency bands were analyzed.

Main Results:

  • IWMUD showed decreased characteristic path length and increased clustering coefficient and small-world index in delta and gamma bands compared to NCs.
  • Abnormal inter-regional connectivity and network hubs were observed in IWMUD across all frequency bands.
  • Distinct FCNs and deviated small-world brain topology were found in IWMUD, especially in delta and gamma bands.

Conclusions:

  • Chronic methamphetamine use leads to significant alterations in whole-brain functional connectivity network topology.
  • These findings highlight distinct network organization in IWMUD, particularly a deviated small-world topology.
  • The results underscore the neurobiological impact of methamphetamine use disorder on brain networks.