ArticlePloS one2019
Disrupted resting-state brain functional network in methamphetamine abusers: A brain source space study by EEG.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed, 30 citations in OpenAlex.
- Cortical Complexity Alterations in Methamphetamine, Cannabis, and Opioid Users: An EEG-Based Analysis.Journal of biomedical physics & engineering · 2026Article
- EEG-based network dynamics in cannabis and polydrug use: a directed transfer function approach.Psychopharmacology · 2026Article
- The Phase-Amplitude Coupling Induced by Drug Cues in Individuals With Methamphetamine Use Disorder During Withdrawal.Brain and behavior · 2026Article
- Feature fusion analysis approach based on synchronous EEG-fNIRS signals: application in etomidate use disorder individuals.Biomedical optics express · 2025Article
- Effect of Neurofeedback Training and Swimming Exercise on the Electroencephalographic Changes and Craving in Methamphetamine-dependent Patients.Basic 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
- Enhanced brain network flexibility by physical exercise in female methamphetamine users.Cognitive neurodynamics · 2024Article
- Identification of Methamphetamine Abusers Can Be Supported by EEG-Based Wavelet Transform and BiLSTM Networks.Brain topography · 2024Article
- Analysing the behaviour change of brain regions of methamphetamine abusers using electroencephalogram signals: Hope to design a decision support system.Addiction biology · 2024Article
- An electroencephalographic signature predicts craving for methamphetamine.Cell reports. Medicine · 2024Article
- Specific endophenotypes in EEG microstates for methamphetamine use disorder.Frontiers in psychiatry · 2024Article
- Aberrant topology of white matter networks in patients with methamphetamine dependence and its application in support vector machine-based classification.Scientific reports · 2023Article
- Evaluation of Drug Abuse on Brain Function using Power Spectrum Analysis of Electroencephalogram Signals in Methamphetamine, Opioid, Cannabis, and Multi-Drug Abuser Groups.Journal of biomedical physics & engineering · 2023Article
- Challenges and future trends in wearable closed-loop neuromodulation to efficiently treat methamphetamine addiction.Frontiers in psychiatry · 2023Review
- Effects of Transcranial Direct Current Stimulation on Attentional Bias to Methamphetamine Cues and Its Association With EEG-Derived Functional Brain Network Topology.The international journal of neuropsychopharmacology · 2022Article
- Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments.PloS one · 2022Article
- Theta and Alpha Oscillatory Activity During Working Memory Maintenance in Long-Term Cannabis Users: The Importance of the Polydrug Use Context.Frontiers in human neuroscience · 2021Article
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- Identifying Methamphetamine Abstainers With Convolutional Neural Networks and Short-Time Fourier Transform.Frontiers in psychology · 2021Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.