Challenges and future trends in wearable closed-loop neuromodulation to efficiently treat methamphetamine addiction

YH Chen, J Yang, H Wu, KT Beier, M Sawan - Frontiers in Psychiatry, 2023 - frontiersin.org
Achieving abstinence from drugs is a long journey and can be particularly challenging in the
case of methamphetamine, which has a higher relapse rate than other drugs. Therefore, real …

Resting-state EEG, substance use and abstinence after chronic use: A systematic review

Y Liu, Y Chen, G Fraga-González… - Clinical EEG and …, 2022 - journals.sagepub.com
Resting-state EEG reflects intrinsic brain activity and its alteration represents changes in
cognition that are related to neuropathology. Thereby, it provides a way of revealing the …

An electroencephalographic signature predicts craving for methamphetamine

W Tian, D Zhao, J Ding, S Zhan, Y Zhang, A Etkin… - Cell Reports …, 2024 - cell.com
Craving is central to methamphetamine use disorder (MUD) and both characterizes the
disease and predicts relapse. However, there is currently a lack of robust and reliable …

Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments

CL Alves, RG Cury, K Roster, AM Pineda… - Plos one, 2022 - journals.plos.org
Ayahuasca is a blend of Amazonian plants that has been used for traditional medicine by
the inhabitants of this region for hundreds of years. Furthermore, this plant has been …

Identification of methamphetamine abusers can be supported by EEG-based wavelet transform and BiLSTM networks

H Zhou, J Zhang, J Gao, X Zeng, X Min, H Zhan… - Brain Topography, 2024 - Springer
Methamphetamine (MA) is a neurological drug, which is harmful to the overall brain
cognitive function when abused. Based on this property of MA, people can be divided into …

Characteristic changes in EEG spectral powers of patients with opioid-use disorder as compared with those with methamphetamine-and alcohol-use disorders

C Minnerly, IM Shokry, W To, JJ Callanan, R Tao - PLoS One, 2021 - journals.plos.org
Electroencephalography (EEG) likely reflects activity of cortical neurocircuits, making it an
insightful estimation for mental health in patients with substance use disorder (SUD). EEG …

Effects of transcranial direct current stimulation on attentional bias to methamphetamine cues and its association with EEG-derived functional brain network topology

H Khajehpour, MA Parvaz, M Kouti… - International Journal …, 2022 - academic.oup.com
Background Although transcranial direct current stimulation (tDCS) has shown to potentially
mitigate drug craving and attentional bias to drug-related stimuli, individual differences in …

Enhanced brain network flexibility by physical exercise in female methamphetamine users

X Qi, Y Wang, Y Lu, Q Zhao, Y Chen, C Zhou… - Cognitive …, 2022 - Springer
Methamphetamine (MA) abuse is increasing worldwide, and evidence indicates that MA
causes degraded cognitive functions such as executive function, attention, and flexibility …

Specific endophenotypes in EEG microstates for methamphetamine use disorder

X Gao, YH Chen, Z Zeng, W Zheng, C Chai… - Frontiers in …, 2025 - frontiersin.org
Background Electroencephalogram (EEG) microstates, which reflect large-scale resting-
state networks of the brain, have been proposed as potential endophenotypes for …

[HTML][HTML] Evaluation of Drug Abuse on Brain Function using Power Spectrum Analysis of Electroencephalogram Signals in Methamphetamine, Opioid, Cannabis, and …

N Marvi, J Haddadnia, MRF Bordbar - Journal of Biomedical …, 2023 - ncbi.nlm.nih.gov
Background: The effect of different types of substances on brain function is still challenging;
however, many studies have shown the functional and structural damage to the brain under …