ArticleBMC psychiatry2020
Disrupted brain network dynamics and cognitive functions in methamphetamine use disorder: insights from EEG microstates.
Article in BMC psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Cognitive Behavioural Therapy Group Counselling for Nicotine Dependence in College Students: Behavioural and Resting-State EEG Microstate Evidence.Addiction biology · 2026Trial
- A novel imagery-based retrieval-extinction training for intervention in nicotine addiction.BMC medicine · 2025Trial
- Dynamic, differentiated clinical trajectories and prediction in clinical high risk for psychosis.Molecular psychiatry · 2026Article
- Cortical Complexity Alterations in Methamphetamine, Cannabis, and Opioid Users: An EEG-Based Analysis.Journal of biomedical physics & engineering · 2026Article
- Nonlinear EEG Complexity as a Marker of Maladaptive Brain Plasticity in Substance Use Disorders: A Multi-Group Machine Learning Classification Study.Brain sciences · 2026Article
- EEG Microstate Correlates of Emotional Processing in Patients with Alcohol use Disorder and Healthy Controls: An Exploratory Resting-EEG Study.Brain topography · 2026Article
- EEG microstate features under visual feedback gain conditions exhibit high sensitivity in identifying early Parkinson's disease patients.Journal of neuroengineering and rehabilitation · 2026Article
- Modulatory Effects of Methadone on Brain Network Instability in Methamphetamine Use; A Cross-sectional Study.Archives of academic emergency medicine · 2026Article
- The impact of chronic heroin addiction on creative cognition: an EEG study based on divergent thinking.Translational psychiatry · 2025Article
- Review
- Research on drug addiction detection based on AR-TSNET with bimodal EEG-NIRS.Biomedical engineering online · 2025Article
- Interactive effect of BDNF rs10835210 polymorphism and childhood maltreatment on cognitive functioning in Chinese male patients with methamphetamine use disorder.European archives of psychiatry and clinical neuroscience · 2025Article
- Fusion Model Using Resting Neurophysiological Data to Help Mass Screening of Methamphetamine Use Disorder.IEEE journal of translational engineering in health and medicine · 2025Article
- Cognitive functions among Saudi patients with methamphetamine and cannabis use disorder.Frontiers in psychiatry · 2025Article
- Mapping neural effects of mindfulness-based cognitive therapy in ADHD using EEG microstates and machine learning models.Frontiers in psychiatry · 2025Article
- Identification and validation of an interpretable EEG-based machine learning model for the diagnosis of post-stroke cognitive impairment.Frontiers in aging neuroscience · 2025Article
- Neurophysiological correlates of trait and behavioral impulsivity across methamphetamine and gambling Addiction.Heliyon · 2024Article
- Heterogeneous Brain Dynamics Between Acute Cerebellar and Brainstem Infarction.Cerebellum (London, England) · 2024Article
- Specific endophenotypes in EEG microstates for methamphetamine use disorder.Frontiers in psychiatry · 2024Article
- Correlation between abnormal brain network activity and electroencephalogram microstates on exposure to smoking-related cues.BJPsych open · 2023Article
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Authors and funding
16 authors.
Funding
Abstract
backgroundDysfunction in brain network dynamics has been found to correlate with many psychiatric disorders. However, there is limited research regarding resting electroencephalogram (EEG) brain network and its association with cognitive process for patients with methamphetamine use disorder (MUD). This study aimed at using EEG microstate analysis to determine whether brain network dynamics in patients with MUD differ from those of healthy controls (HC).
methodsA total of 55 MUD patients and 27 matched healthy controls were included for analysis. The resting brain activity was recorded by 64-channel electroencephalography. EEG microstate parameters and intracerebral current sources of each EEG microstate were compared between the two groups. Generalized linear regression model was used to explore the correlation between significant microstates with drug history and cognitive functions.
resultsMUD patients showed lower mean durations of the microstate classes A and B, and a higher global explained variance of the microstate class C. Besides, MUD patients presented with different current density power in microstates A, B, and C relative to the HC. The generalized linear model showed that MA use frequency is negatively correlated with the MMD of class A. Further, the generalized linear model showed that MA use frequency, scores of Two-back task, and the error rate of MA word are correlated with the MMD and GEV of class B, respectively.
conclusionsIntracranial current source densities of resting EEG microstates are disrupted in MUD patients, hence causing temporal changes in microstate topographies, which are correlated with attention bias and history of drug use.
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